1 Full paper submitted to 19 th European Regional ITS Conference Luiss Guido Carli University, Rome, September 2008 Title: Analysis of Cost Structure and Business Model options for Wireless Access Provisioning using Femtocell solutions Jan Markendahl Royal Institute of Technology Electrum 418 S Kista Sweden phone: Östen Mäkitalo Royal Institute of Technology Electrum 418 S Kista Sweden phone: Jan Werding Royal Institute of Technology Electrum 418 S Kista Sweden phone:
2 Analysis of Cost Structure and Business Model options for Wireless Access provisioning using Femtocell solutions 1. Introduction The last year Mobile Operators have successfully offered mobile broad band services based on USB dongles and competitive flat rate subscriptions. Both the numbers of users as well as the usage in terms of transferred number of Mbytes per user and month are increasing substantially. This will require very cost-efficient high capacity network solutions. Mobile communication systems with coverage almost everywhere (e.g. GSM) are deployed for mobile telephony services. They are feasible solutions for voice or low rate data services, but not economically viable for high data rates and high capacity access. For cellular systems so called hierarchical cells structures (HCS) are used to provide services in areas with varying demand. The macrocells are complemented by micro and pico cells in areas with high demand. Recently femtocell solutions with small (possibly user deployed) indoor base stations have been proposed and this deployment option is currently investigated by operators and manufacturers (see User deployed home base stations (HBS) or local access points are not new. Low cost WLAN access points for deployment in homes have been commercially available many years. They have been used for wireless extension of the fixed broadband in homes, offices, schools etc. WLAN technology has also been the major solution for public hot spots. Since the USB dongles using cellular technology and the WLAN technology address the same basic need - to get wireless Internet access - we can now see that the markets for wide area and local area broad band access provisioning are merging into the one and same market. This will put new kinds of requirements on the service offers, on the business models and on the configuration of the supply chain. This is the main topic of this paper. The operator challenge The underlying networking issue, according to operators and vendors, for all the solutions above is the optimization of costs and performance. The problem has however become increasingly difficult during the last decade. Traffic has grown significantly and has become more and more concentrated to in-door locations and more differentiated among users. This development is expected to continue. Demand for broad-band data services is expected to increase tremendously going forward. The mobile communications industry also communicates a fairly uniform view of the business challenge. Revenues from mobile voice are expected to decline. Operators will have to compensate with new revenues and cost reduction. Increased revenues will have to come from non-voice services, from bundling and other means to increase total communications market shares. Attractive new services are expected to require significantly increased capacity as well as increased bandwidth and improved quality of service (QoS). Existing indoor coverage in most countries is not sufficient. Significant build out of the macro networks will however require huge investments.
3 Identified drivers After reading a number of white papers, press releases, analysis reports and investor relations presentations we can conclude there are some common themes that are used to motivate the use of indoor systems, e.g. the UMA 1 concept and femtocells solutions. The main motivation from a technology perspective is the improved indoor coverage. With higher radio frequencies than the MHz bands used for GSM the impact of wall and floor attenuation is larger for 3G systems using outdoor base stations. From the business perspective two other main motivations are often mentioned: User deployed access points or home base stations are used for mobile telephony at home in order to offer lower prices. The driver for operators is to increase the customer loyalty and /or to move customers from fixed to mobile telephony. One example is the HomeFree concept by TeliaSonera. The same kind of reasoning is also used by Ericsson in the marketing and positioning of their femtocell products 2 Femtocell deployment in order to off-load the traffic of heavy data users from the outdoor wide area network to the indoor local area network. With this approach the investments in more costly macro cellular networks can be reduced. This kind of motivation can be found by operators, e.g. Vodafone (1) and by several researchers in industry (2)(3) and academia (4) Finally, we claim that indoor systems can be used to position the service offer User deployed access points, femtocells and home base stations are all solutions that enable the provider to compete at the market for Internet Access provisioning. New business opportunities can be identified when Internet usage is moving outside of known locations like your home or office (5)(6). Systems and technology The underlying assumption is that people want Internet access everywhere both as private persons and as employees, students etc. We believe that the provisioning of broadband access will merge into one service and market including wireless and fixed access solutions offered at known and pre-defined locations and when at the move. The wireless solutions will include both wide area and local area systems bundled into one access service. Multi-radio access solutions are needed when the local area network is based on WLAN technology. Femtocell networks make use of cellular frequency bands and hence the user terminals can use the same type of radio interface for both the wide area and the local area (indoor) radio access. 1 UMA = Unlicensed Mobile Access now called GAN = Generic Access Network. A solution where a local access point and a fixed broad band connection are used to transfer a cellular voice call (data session) when a mobile device is within coverage of the local access point. 2
4 Market actors One or several market actors can be involved in the provisioning of the access service but the end-user should get one service offer. Mobile Network Operators (MNO s) with own broad band networks can provide offers of their own especially in the consumer segment. MNO s without broadband networks need to cooperate with ISP s. For the provisioning of broad band access at offices and public places a MNO can cooperate with companies (using or owning an office), with municipality area networks or with hot spot operators etc. Previous work Femtocells have been widely discussed in the telecommunication technology press in the last few years (7)(8)(9). The scientific literature is however still quite limited. The technology and business case in published articles is almost exclusively regarded as a cost issue. Several studies have shown that femtocell deployment can provide wireless broad band services at much lower costs than macrocell networks given the expected concentration of traffic to indoor residential and office locations. Business implications beyond the cost issue have not been discussed in the scientific literature. General aspects of business roles and business models applicable for wireless access provisioning in hot spots and in wireless cities, have however been studied in other work (10)(11)(12)(13)(14). Comparisons between femtocells and alternative GAN based local access technologies are generally missing in the literature. Femtocells/Home base stations and x over GAN perform similar functions and have different advantages and drawbacks. Research question The aim of this paper is to investigate the commercial consequences of femtocell networks in term of suitable business models and market organization. The research question is related both to the potential cost savings and to different options for organization of the value chain: Will the introduction of femtocells change the business landscape and business models for provisioning of fixed and mobile broadband services? Outline of the paper In section 2 we will describe related work and concepts for home base stations. In section 3 the methodology, assumptions and evaluated scenarios are described. In section 4 we will describe different aspects of network dimensioning taking into account demand, quality of service guarantees and radio wave propagation. In section 5 a cost analysis is presented including cost structure basics and a comparison between deployment using macro base stations or femtocells. A business model analysis is presented in section 6 using a map of possible business cases and description of what actor that takes specific business roles. In section 7 we make some concluding remarks on the results and on future research topics.
5 2 Related work and concepts Home base station of the 1990 s Hierarchical cell structures were seen in the 1990 s as a major remedy to solve the performance and cost issues of spatially uneven traffic distribution. Vendors competed to develop increasingly small GSM pico base stations for street and hot-spot locations. Pico base stations for even smaller coverage in-door purposes were developed in the late 1990 s. Ericsson s RBS2401 and Nokia s InSite were launched in 1999 (15)(16). They were introduced as in-door office solutions (17) But the term Home Base Station (HBS) was frequently used in the literature, see e.g.(18). HBS was mainly not launched by operators. A few operators launched the service GSM in the office, but with limited commercial success. Large operators obviously did not find any viable business model for HBS at the time. Mounting pressure for increased cost efficiency and network performance Then mobile traffic growth accelerated in the first years of the 2000 s. The major demand was for indoor voice service. Narrow-band data services were not well received by users. Broad-band data services appeared as a more attractive future option. Operators financial position was at least temporarily a bit fragile. Competition drove down voice prices. Capital investment requirements to provide indoor coverage and mobile broadband mounted. That environment gave birth to a number of projects which resulted in WiFi, UMA and the femtocell as the most prominent besides the accelerated development of cellular technologies. Public WiFi access The WiFi Alliance introduced IEEE802.x technologies for public access in the early 2000 s. Successful WiFi business concepts have focused on providing nomadic wireless Internet access to professional users at selected hot-spots were a convenient temporary working environment was available (19). This approach facilitated high prices. Later on owners of such hot-spots have started to provide the service as a complement to their main business (6)(14). Other types of WiFi based business concepts have generally not been well received by users. A lot of municipalities, in particular in the US, launched or supported the launch of public city WiFi networks and WiFi zones. Almost all of the US efforts did not reach the number of users necessary to support the business models. European projects may have done better. But detailed reports of commercial performance are not available. WiFi survives in the US as non-public municipality utility networks (20)(21)(22)(13). FON was started as an effort to build an international WiFi community for reciprocal access. But recent announcements from FON indicate that they put more focus on building the same type of roaming alliances as operators targeting professional users (23). The community concept may not have reached targets (24)
6 UMA and GAN In 2004 a group of mobile operators and vendors finalized specification for Unlicensed Mobile Access (UMA). UMA is a standard for extension of GSM/GPRS mobile services using an unlicensed radio link and access point in the customer s premises, where the standard WLAN and software are added to standard mobile terminals. When a mobile device, with both cellular and WLAN radio interface, is within coverage of the local access point the call or session is transferred from the wide area network to the local network. BT was first to launch UMA based service in A few operators have followed. The business concept has been to offer cheaper mobile calls in the home or SME office and at the same time lock in the customers with specialized equipment. No public access is intended. There are not many reports about usage. But it seems that the lower price offer alone has not attracted enough users. T-mobile in the US seems to do better, based on more innovative flat rate pricing and specifically adapted technology, which enables the operator to appear as a VoIP provider (25). The UMA technology was further developed within 3GPP into Generic Access Network (GAN) standard, which extends mobile voice, data and IMS/SIP applications over IP access networks. GAN has been used as one basis of a 3GPP standard interface from femtocells to the mobile core network. A complete 3GPP standard for femtocells or Home Node B s (HNB) is expected at the end of Femtocells Femtocells are low-power wireless access points that operate in licensed spectrum to connect standard mobile devices to a mobile operator s network using residential DSL or cable broadband connections. Femtocells have a couple of generic properties. It is a low power radio designed for use in-building CPE. The devices could be deployed by users without operator intervention. They are self organizing, meaning they determine their environment and adjust the capabilities accordingly. The term femtocell is actually radio agnostic. It could be applied to an air interface with licensed as well as unlicensed spectrum. It is tool to create business models with a wide scope of possibilities (26). Technical differences between GAN and the Home Node B relate e.g. to the self organizing properties of the HNB. The GAN home base station is a type of distributed radio interface. Non Access Stratum (NAS) protocols are tunneled between the MS and the Core Network over an IP network and the A and Gb/ Iu-cs and Iu-ps interfaces to the MSC and SGSN, respectively. The radio interface has only local management capabilities. The HNB however, contains the functionality of an ordinary Node B and some of the radio resource management abilities of the RNC to support self organizing (27).
7 The proposed femtocell solution Development of femtocell networks and business models is still at a very early stage. The first version of the 3GPP standard is not yet ready. When shipments of non-proprietary equipment will start, possibly in 2009, some technology problems will remain. One problem is that a MS (user equipment) will not be able to distinguish a HNB from a macro node B in the same frequency band. Frequent handovers may therefore be initiated and/or interference problems aggravate. There are several visions about the future business models for femtocell networks. A few trials have started (28) But so far there are no (published) well-laid proposals. Focus is on consumer services even if SME enterprise services are not excluded. The general visions contain significant cost savings from femtocell broad band usage compared to macrocell network operations. Femtocells may be allocated to places with concentrated traffic and to individuals/enterprises with high usage. Backhaul via existing fixed line connections, power supply from users facilities as well as users maintenance efforts further contribute to lower costs. Femtocells may also function as platforms for bundling and distribution of different services like voice, Internet access and IPTV within the users premises. Integrated and convenient local access may also contribute to increased customer loyalty and following lower costs related to churn.
8 3. Methodology and assumptions In this section we will describe the analysis approach, the assumptions and the scenario that is used in the cost and business model analysis. The cost analysis is composed of a network dimensioning part and a cost structure analysis part. Network dimensioning Our analysis will start with the user demand described by the number of users per area unit and the data usage (GByte) per user and month. This is converted to capacity per area unit (Mbps/ km 2 ) computed for a number of busy hours. The network is built out in order to match the user demand over the area of study. Different number of base stations is needed depending on the coverage and capacity characteristics of different types of base stations. For a given capacity of a base station cell the users need to share this capacity, e.g. 10 users will get on average 0,2 Mbps sharing a 2 Mbps base station assuming best effort type of usage. However, the average busy hour data rate per user does not reflect any requirements of guaranteed availability or data rate. Hence, in section 4 we give examples of dimensioning taking into account the data rate guarantees resulting in the probability for a user to get a specified data rate provided a specified of capacity of the base station. The comparative cost analysis in section 5 will be made using the somewhat ideal average busy hour data rate. In our examples we will compare macrocell solutions (macro base stations using towers or masts) with femtocells (indoor small base stations). Since the dimensioning will be capacity limited we will assume macro base station sites equipped with a number of radio transmitters and receivers. We will use macro base stations configured with 2 carriers and 3 sectors, i.e. in total 6 cells. We assume that the capacity of each cell is 2 Mbps and that the maximum data rate of 2 Mbps can be provided everywhere in the cell. In real life the maximum data rate is higher closer to the base station. and lower near the cell edges. For the femtocells we also assume a capacity of 2 Mbps (which is a bit conservative). Cost structure analysis The cost structure analysis is in the form of a comparison of capacity expansion using only femtocells or macro base station solutions satisfying the same user demand. For the modeling of capacity demand and the cost structure break down we use the methodology proposed and used by Johansson (4). We will take into account both capital expenditure (CAPEX) and operational expenditure (OPEX) for the two types of deployment. The main elements in the cost structure model are Investments in radio equipment Investments in sites and transmission Installation and deployment costs Site leases, cost for leased lines Operation and maintenance and other running cost
9 Business modeling and analysis For the business modeling and analysis we will use the definitions and framework by Chesbrough & Rosenbloom (30). The focus will be on the parts dealing with the value proposition, the firm organization, the value chain, the position of the firm in the value network and the competitive strategy of the operator. The organization of the value chain and the position of different companies are discussed using a network model with the three main components: Actors, Relations (between actors) and Business roles (with functionality) (31) For the cases investigated in this paper the focus is on network deployment for enterprises, in office buildings and for public access. Two key aspects for the business modeling and the configuration of business roles are i) what market actor that deploys and operates the indoor network and ii) if the access service is restricted to own users or available for public users. In our analysis the cost analysis and the business modelling aspects are related as follows: The indoor deployment with femtocells is localized to the high demand areas only and the production cost for the network capacity is lower, e.g. no expensive tower or masts. In order to ensure an overall lower cost level other types of costs associated with infrastructure with many nodes, i.e. installation, maintenance or transmission, must be controlled. One way to control (reduce) these costs is to cooperate closely with facility owners and companies and to re-use existing infrastructure, company staff and competence. In addition, there is no need to pay site leases if the network is deployed in the premises of the customer for internal use only. Scenario description We will consider an area with office buildings to be built The facility owner wants to investigate the options for provisioning of wireless data services in the buildings. We will compare the costs for deployment and operation of networks using large scale outdoor base stations with the cost for small scale indoor femtocell solutions. We assume that there is no infrastructure that can be re-used and that everything is deployed from start. There are 10 five floor office buildings in the 1 km 2 area each with 1000 persons. The total monthly demand for broadband access is 5 Gbyte per user. The dimensioning of the wireless networks shall be done for two levels of relative wireless usage : 10% and 50 % of the total monthly usage. Figure 1: Office buildings in the scenario used in the cost analysis example
10 4. Design and deployment aspects Capacity and coverage For estimations of necessary capacity we use an office area where we can find around employees per square km. The same method can of course also be used for the domestic situation. The number of potential users in urban areas will be about the same. For the time being most of office users are using a fixed broadband connection. This situation is however changing. There is a trend to migrate to wireless solutions. This is encouraged by the introduction of low cost flat rate cellular subscriptions. In our calculations we assume a situation where 5 GB of data is downloaded per month and active user. This is equivalent to about 200 MB per working day. If we assume two busy hours each in the morning and afternoon this corresponds to about 100 kbps in average. This average however is a poor measure of the capacity need. The real office traffic is of a different nature with a number of transmissions of varying length at a higher data rate suitable for the actual service. Many applications require 1 Mbps or more. We now take the approach to evaluate a case where the used speed is 1 Mbps. Then the usage is 10 % of the time. Using telecommunication terms we can say that each user contributes with a traffic load by 0,10 E (Erlang). Now we can estimate the probability of the users getting service when guaranteeing a certain data rate (e.g. 1 Mbps) for various sector capacities by using the Erlang B loss formula. (Table 1) Number of users Cell capacity (Mbps) ,9 0, ,71 0,95 9 0,53 0,82 0, ,06 0,11 0,17 0,95 Table 1: Probability of being served with 1 Mbps data rate We can see that the efficiency is low when the used speed is close to the capacity of the sector. Only 0,10E of 1 Mbps traffic can be served with 90 % (10 % blocking) probability when the sector capacity is 1 Mbps. 10 % blocking is a bit high so the calculations below are made for 5 % blocking. 4 users offering a total load of 0,4 Mbps require a sector capacity of 2 Mbps. This is in great contrast to what could be achieved if we only looked at the average traffic per user. 2 Mbps would in that case be enough for 20 users of best effort type. In this example five times more capacity is needed when quality of service is guaranteed. In reality there will be a mix of applications where for some best effort is sufficient while others require guaranteed quality of service. We continue by first exploring what we can achieve by using standard macrocells. Let us assume that the coverage of a macro base station with three sectors is 1 square km (0,56 km range) and that only such a small share of the potential number of users as 5 % (about 500) are active users using a particular operators cellular network. The 167 users per sector then
11 have a total down load capacity need of 22 Mbps. This is much more than one sector at an HSPA base station can offer. In reality one carrier in one sector with 0,56 km range in average can carry about 1 Mbps of data traffic not taking into account the reductions caused by indoor use and wall attenuation. To meet the capacity demand we need about 70 macro base stations with 3 sectors each to serve 500 users within the service area of size 1 square km. With two carriers the required number of base stations will be 18. The example shows that already for a fairly modest penetration of mobile broadband data the number of base stations per square km will be quite high. When the 70 (18) base stations are evenly spread over the service area the range will be about 0,067 (0,13) km. This improves the link budget but what about the effects of wall attenuation? Impact of wall attenuation for macrocell deployment The wall attenuation varies very much from about 5 db for wooden walls in rural areas to 25 db for concrete or brick walls in urban areas. The walls between rooms in a building normally only have a few db attenuation. To estimate the effect of the outer wall attenuation we use the Okumura-Hata propagation model for an urban macrocell.(32) Assuming the maximum cell range to be R (km),the wall attenuation W (db), K a constant and a (h) a correction for the height h of the mobile antenna the propagation loss can then be expressed as L = K + 35,2 log(r) + W a (h) If we assume an antenna height of 30 m for the macro base station and the mobile receiver to be1,5 m above ground then for a frequency of 2,1 GHz K = 136. While h is about 1,5 m for ground floor it may be about 10 m for the third floor. It the latter case a (h) is about 5 db. For the case without wall attenuation and the cell range 0,56 kilometres: L = 136 8,7 + 0 = 127,3 db. By using the same formula for different values of W the corresponding values for cell range R can be calculated. The cell range is then used to calculate the number N of base stations to cover the 1 square km area. With everything else (eg level above ground) equal for the different values of wall attenuation. W(dB) R(km) N 0 0, , ,29 3,7 15 0, , ,11 25 Table 2: Maximal range R of a base station and number N of base stations required to compensate for the wall attenuation W.
12 By comparing these figures with the figures obtained above to provide high capacities and availability we can see that high availability, data rate and capacity requirement has a greater impact on the cell size than the effects of wall attenuation. To maintain the link budget having 15 db wall attenuation which is a representative figure a decrease in cell range by a factor of 2,7 to 0,21 kilometres is required leading to 7 base stations to cover the same area. This is by far less than the 70 (18) base stations required in the traffic example above. As a second step we look at the possibility of serving the customers by using femtocells. If we disregard the effects of possible interference the power of a femtocell due to the free space type of propagation implying low losses (see below) compared with the losses from a macrocell (see above) is enough to offer very high capacity i.e. several Mbps (at least 3) in a femtocell covering a room or a few small rooms. The explanation to that is that 16 QAM and 64 QAM modulation schemes can be used. (2). A cell with a capacity of 3 Mbps can as is showed above serve up to 9 users with a guaranteed speed of 1 Mbps and at least 95 % probability of getting access. The number of users present within the coverage of a femtocell of course varies very much from location to location and time to time. With in average 2 users per femtocell about 250 femtocells are needed to serve the 500 users per square km. It has to be mentioned that these femtocells do not provide continuous coverage over the whole square km. The intention is to provide capacity and coverage indoors where the users are active and that outside those areas the service will be provided by the macrocells. Since the cost of a femtocell is very low compared to the cost of a macro/picocell the femtocell solution is very favourable also from cost point of view. Impact of propagation and wall attenuation for femtocells Inside a room the criteria for free space propagation are met implying the wellknown formula for the propagation loss LdB. L = K + 20 log D (K is a constant; D is the distance between the femtocell and the device). K = 32, log (f). K = 98,8,4 for f = 2,1 GHz. Outside the room we have to take into account wall attenuation W and floor attenuation F. To the free space loss above we have to add the wall and floor losses which are proportional to the number of walls n and floors m the signals have to penetrate. The equation now reads: L = 98, log D + n W + m F At a distance D of 50 m L = 72 + nw + mf This figure is much (about db) smaller than the propagation loss from the macrocell (see above) when the outer wall attenuation (15 db) is taken into account. This implies that very low power can be used for the femtocell. If the transmitted power from the macrocell is 100 Watt then about microwatt is needed from the femtocell to give the same input power to the mobile receiver. The maximum allowed power from the femtocell is 100 mwatt. This gives large possibilities to adjust the femtocell power to achieve wanted performance and low risk for interference.
13 The attenuation between two adjacent rooms is normally only a few db while the attenuation between floors is much higher (up to 20 db or more) of construction reasons. This has advantages from interference point of view between the femtocells. The risk of cochannel interference is reduced in particular between femtocells on different floors. Different deployment configurations are possible. These are described in 3 GPP TR In the same document also interference scenarios are described. With deployment of femtocells is not feasible to completely control interference. This is a concern and different interference mitigation techniques may be required. Such techniques are quite powerful and as shown by Claussen H (2) also co-channel operation is possible with very little impact from the femtocells to the macrocell performance. There are basically two explanations to that, the very low power needed from the femtocell and the outer wall attenuation. Spectrum allocation and limitations Licensed spectrum has to be used. This means that an operator owns the license and thus has to authorize the deployment of femtocells and also has an interest having some control although the femtocells are deployed by enterprises or facility owners. The operator has also to do some frequency planning. Three deployment alternatives exist. If the operator has a license for several frequencies then the operator can allocate a dedicated frequency for the femtocells different from those used for the macro/picocells. As a second possibility the macrocells use all frequencies whereas the femtocells use only a part. This solution is called partial co-channel. When macrocell user equipment is experiencing interference from the femtocells it can move to the clear part. The third solution is full co-channel operation. As mentioned above co-channel operation seems not to be a big problem.
14 5. Cost analysis In this section we will present some cost structure basics and the underlying assumptions for the cost analysis. Next, the user demand is converted into capacity figures. The network costs for a large scale macro base station solution are then compared with femtocell networks that are deployed using three different dimensioned principles. Cost structure basics A breakdown of the cost structure of a mobile operator shows that the network costs is one part of the total costs. As reported by Werding (33) three major parts of the total cost structure of a mobile operator can be identified: i) investments and operational costs for the network, ii) costs for marketing & sales and handset subsidies and iii) costs for customer management, charging & billing. An analysis of the network part shows that the radio equipment not is the dominating cost component (4)(34). Major contributions to the overall network cost are related to maintenance of the infrastructure and to the physical deployment of the infrastructure, such as planning, installation of antennas & towers, cabling and other costs for the base station sites (35)(36). As shown in figure 2 (from (4)) the cost structure characteristics differ for different types of base station deployment. The major cost component for macro base station systems is the sites, whereas the transmission and radio equipment are major cost components for a pico base station deployment Cost structure 1,2 1 Relative cost 0,8 0,6 0,4 Transmission Sites Radio 0,2 0 Macro (1 carrier) Micro Pico WLAN Type of base station Figure 2: Resulting cost structure CAPEX and OPEX (fractions of the discounted total cost) per base station for greenfield deployments ( data from Johansson, 2007(4)) In our cost analysis below we will compare macro base stations using towers or masts with indoor femtocells. Micro base station is of course an option but, as will be shown below, the cost per cell will be roughly the same for macro and micro base station deployment.
15 Cost structure assumptions As the large scale solution we will use macro base stations configured with 2 carriers and 3 sectors, i.e. in total 6 cells per base station site. We assume per cell for radio equipment, i.e. one sector of one carrier, in total for 2*3 configuration for radio equipment. Site constructions, transmission, installation is in the range Hence, the total cost for a macro base station site can be assumed to be in the range In our comparison we will use the value for deployment of macro base station site with an assumed capacity of 6 * 2 Mbps. This assumption will result in a CAPEX of around for one cell. The cost for deployment of a micro base station with omni or 180 degree coverage would be roughly the same. Hence the cost per cell is similar using our assumptions with macro base stations with 6 cells. The different cost components and estimated ranges for the operational costs of a macro base station sites is shown in table 3. In the analysis and comparison we will use the number 30 k per year and base station sites. Cost component of OPEX Annual cost Comment/assumption Site lease 5 10 k Downtown/City area Leased lines 12 k 2 k per E1 O&M 5 10 k 5 10 % of total CAPEX Power 3 5 k Total k Table 3: Estimates of annual running costs (OPEX) for macro base station sites For the femtocell solutions we use data from a WLAN deployment project running over a couple of years and with several hundred access points 3. On average the deployment of one access point is with roughly equal shares (20-30%) for the cost components: Access point equipment Planning, installation, documentation Cabling the share of the AP controller and management system Another example is a 3 rd party that charges fixed price of 1100 per installed AP. In our analysis we will use 1000 for deployment of one femtocell with assumed capacity 2 Mbps. For the femtocells we estimate the annual cost to be 500 per femtocell access point. This corresponds to a broadband connection with quite a high yearly price. For both commercial and business use the broadband connection is assumed to exist and to be re-used for femtocell access. Hence, a realistic cost estimate would be much lower than 500 but in our comparison we will anyway use this number. 3 Interview July 8, 2008 with Per Lindgren and David Lundberg, Uppsala University
16 Analysis of demand In the area in our example we have office workers, each with a total data usage of 5 GByte per month. For one user we get the following estimates of usage Usage per day: ~250 MB Per busy hour MB (for 4 and 2 busy hours per day respectively) Per busy hour 0,5 1,0 Gbit Converting this to average bit rate during the busy hours we get kbps. For all the workers this means in total 1,39 2,78 Gbit per second for the total data usage. Let us use 2,0 Gbit per second (Gbps) as an estimate of the total demand. For the analysis we need to consider the share that can be assumed to be carried over wireless connections. A high level estimate is 50 % which would mean 1 Gbps and a low level estimate is 10 % resulting in 200 Mbps for the wireless usage. Comparison between macro and femtocell solutions For the macrocell solutions we will use dimensioning based on the capacity described by the user demand. For the femtocell solutions we will use three different approaches Capacity; as for macrocells where the deployed capacity shall match the user demand Coverage; a specified number of access points are allocated for each floor in the office building in order to ensure coverage User oriented; a number of users are allocated to each access point (no matter the demand) Capacity approach Since each macrocell and femtocell has the capacity of 2Mbps it is straight forward to estimate the number of required cells, base station sites and femtocell access points. Total Demand Macrocell solution Femtocell solution (Mbps) No sites CAPEX No access points CAPEX 200 (low level) 34 3,4 M k 1000 (high level) ,7 M k Table 4: The investment cost for the number of base station sites and femto cells that meet the two levels of estimated user demand The results show that the investments using the macrocell solution are much larger than for the femtocell solution. In this ideal analysis we assume that there is no wall attenuation (this will have an impact on the number of macro sites according to section 4) and that the femtocells can provide the coverage that is needed. For a complete analysis the operational costs should also be included, see the summary below where we include a Net Present Value analysis.
17 Coverage and user oriented approach In table 5 we illustrate the CAPEX for femtocell networks dimensioned with 4 or 8 access points per floor and 4 or 8 users per access point. With these coverage and user oriented approaches different levels of over provisioning are achieved but still the femtocell solutions are much cheaper than the macrocell solutions. In addition, the end users will experience an added value of the over provisioning in the form of access with a guaranteed bit rates, see section 4. No APs CAPEX Capacity Coverage approach 4 AP per floor k 400 Mbps 8 AP per floor k 800 Mbps User oriented approach 8 users per AP ,25 M 2500 Mbps 4 users per AP ,50 M 5000 Mbps Table 5: The investment costs and deployed capacity for femtocells using 4/8 access points per floor and 4/8 users per access point. Summary In order to fully compare different deployment options we also need to include the operational expenditure (OPEX) in the analysis. In table 6 we show the resulting CAPEX, OPEX and Net Present Value (NPV) for different solutions. The NPV analysis is done for 5 years assuming that all investments are made year 1, with a discount rate of 5 % and assuming that the OPEX is increasing 10% each year. Deployment type Deployed capacity CAPEX (M ) OPEX (M ) NPV (M ) Femto "Low level demand" 200 Mbps 0,1 0,05 0,36 Macro "Low level demand" 200 Mbps 3,4 1,02 8,74 Femto "8 AP per floor" 800 Mbps 0,4 0,2 1,31 Macro "High level demand" 1000 Mbps 16,7 5,01 39,47 Femto "High level demand" 1000 Mbps 0,5 0,25 1,64 Femto " 4 users per AP" 5000 Mbps 2,5 1,25 8,18 Table 6: Comparison capacity, CAPEX, OPEX, Net Present Value (NPV) of deployment options All costs are much lower for the femtocell solutions. For the same amount of deployed capacity the cost for the macro base stations are 24 times higher than for the femtocells. Even with a 5 times more deployed capacity the femtocells are 5 times cheaper. The more capacity that is deployed the higher will the guaranteed bit rates be resulting in true broad band. The cost analysis of the wireless solutions are made for specific levels of user demand that are related to the overall broad band demand assuming that most of the traffic will use fixed brad band connections. Of course these assumptions can be questioned but our analysis shows clear cost-performance benefits of femtocell solutions for a wide range of traffic levels and for different deployment approaches.
18 6. Business model analysis The case with the consumer segment and private access is straight forward. The user, i.e. the subscriber, deploys the femtocell access point in the home or small office for own use. This is a wireless extension of the fixed broad band connection, similar to the deployment of a WLAN access point. However, for other types of usage e.g. for enterprises, in office buildings and for public access a multitude of options can be identified. In the case of office buildings or companies the indoor network can be deployed by an operator or a party representing the users, e.g. a facility owner or the IT support department at a company. Below we call this actor the facility owner. Our model shown in figure 3 includes the two dimensions Who is deploying and operating the indoor network? Is the access restricted to own users or available for public users as well? What kind of users can access the network? Private users only All subscribers All users, also to the operator roaming users A facility owner Operator of the Indoor network? An Operator A B C D E F Figure 3: Map of business model cases The Femtocell concept is usually presented as the case A, the user or a party representing the users deploys femtocells where the access is restricted to own users only. The facility owner can take care of the deployment and operation (case A) or outsource this to a third party or to the operator, the latter is case D. One example of case D is the Swedish operator Springmobil (recently acquired by Tele2) that operates indoor GSM networks for companies using the fourth GSM license in Sweden. A privately deployed and operated local network can in principle be opened up for public access. In cases B and E all other subscribers of the involved operator can access the local network. Case E exists today where indoor coverage is offered by mobile operators, either with outdoor macro or micro base stations illuminating the buildings or by providing indoor picocell solutions. The business model in case E is the traditional one for mobile operators. In case B some kinds of revenue sharing schemes need to be used in order to compensate the facility owner for the traffic generated by external users. The public access can be extended to also allow roaming users, i.e. customers of other operators, to access the indoor network. Technically the cases C and F are the same as cases B and E, the difference is the access rights and roaming capability. An operator providing cellular indoor coverage today allows roaming users from other countries, i.e. international roaming. However, today customers of another operator with poor indoor coverage in a
19 specific building cannot use an existing indoor network belonging to another operator unless there is a national roaming agreement in place. We believe that operators soon will need to consider national roaming solutions in buildings and areas with demand for high capacity. In many cases it will not be economically feasible to deploy a multitude of indoor networks. Sharing of networks resources by local roaming or by commonly deployed network, like in rural areas need to be considered for cost-efficient operation. Case C where roaming users are allowed is an extension of case F where the revenue sharing between the facility owner and the operator also would include roaming users. An interesting form of case C is when no operator is involved in the roaming. In Sweden there are cases where students and employees at different universities in the same city or town are allowed to access the WLAN networks as visitors. At the national and international level the same kind of roaming capability between WLAN networks is offered by Eduroam 4. A number of universities have agreed to allow visiting users access to the own networks. Provided that the network is part of the Eduroam initiative, visiting users can access a visited WLAN network using the identity (username) and password used in the home network. When it comes to the value network and the value configuration we can identify the following business roles or groups of business roles (14): Provisioning of the backbone network and capacity Deployment, operation and maintenance of the local network Access and admission control, check of and provisioning of user identity, Activities in order to attract and acquire customers Charging and end-user billing For the cases D, E and F, where the operator is responsible for the network operation all business roles except the customer acquisition are fully controlled by the operator. The customer company takes some part of the acquisition of the internal users; the operator does not need to acquire each individual user of the company. The same is true for the cases A, B and C but here the facility owner also take care of the network operation. All other business roles are taken by the operator. Provisioning of backbone capacity Access control, ID & trust provisioning Charging & End-user billing Operation and maintenance of the local network Customer Acquisition Figure 4: Business roles in the value network 4
20 9. Conclusions and implications In the introduction of this paper we introduced a research question related both to potential cost savings and to different options for organization of the value chain: Will the introduction of femtocells change the business landscape and business models for provisioning of fixed and mobile broadband access? Before we answer the question we look at some interesting findings. - The first finding is the huge difference in capital expenditure and operational cost in the femtocell case compared with exploitation with macrocells. The main reason is the use of already existing assets such space for the equipment, availability to power, setting up the equipment, use of existing transmission etc. The costs for those are almost completely eliminated. In addition, a lot can be saved on the radio equipment as such although it contains the same functionality as for the macro base station. - The second finding is the capability of a femtocell solution to provide service also when the need for capacity and data rate increases. We have shown that we also can introduce offers with guaranteed data rate and availability which is very costly when using macrocells. There is even an over provisioning when using the femtocells. This makes it possible to deploy further developments with higher data rates over HSPA and the introduction of LTE. To a certain degree this is also possible for macrocells but only near the site. The efficiency of the femtocells thus results also in improved spectrum utilization. - A third finding is the potential and benefits for the operator to off load the wide area network while still maintaining the traffic volumes and revenues. This is particularly true bearing in mind that already now % of the voice traffic is indoors. For broadband data the share of indoor usage is expected to be as high as 90 %. - Another finding is that the advantage of a femtocell for private use in homes would be quite low for consumers The added value of a cellular based home base station is limited especially of you have to pay for the extra equipment. WLAN based wireless extensions of broadband connections has been available at low cost for many years. The main benefits are in public use and within enterprises, hotels, conference centers etc. However, operators can benefits from wide spread use of femtocells in homes. - One important finding is that we claim that it is NOT the use of the femtocell itself in the local environment that represents the main benefit. The main added value for the end-user is the ability to use the same equipment, identity and subscription when outside of a fixed location like your home or office. This benefit is enhanced both by good coverage and by competitive flat rate pricing schemes
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