Efficient resource utilization improves the customer experience

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1 White paper Efficient resource utilization improves the customer experience Multiflow, aggregation and multi band load balancing for Long Term HSPA Evolution

2 Executive summary Contents 2. Executive summary 3. Resource utilization in current networks 5. Features enhancing network utilization 5. Multi Band Load Balancing 7. Multi Carrier HSDPA 9. Multiflow 12. HSPA LTE Carrier Aggregation 13. Further considerations 14. Summary 15. Abbreviations With the growing popularity of smartphones and the increasing use of applications designed to make use of their capabilities, traffic is rising dramatically. As well as application related traffic, with frequent updates to and from applications such as social networking sites and health monitoring functions, smartphones are giving rise to significant signaling loads. Much of this traffic is bursty in nature, leading to imbalances in network utilization. Resource requirements vary greatly over time and between cells and frequency layers. At any one time, many parts of the network have significant free resources, while other parts need to deliver high data speeds. Underused resources are common in a typical network. This is inefficient for network operators, as well as potentially degrading the user experience, it also means communications service providers (CSPs) may not be making efficient use of network investments. An answer to this is provided by features that form part of the latest 3GPP standardization release of Long Term HSPA Evolution, the 3GPP Rel 11, as well as related features from earlier HSPA standardization releases. 3GPP These features take advantage of under-used resources to enhance performance for the user. The first of these features is Multi Band Load Balancing (MBLB), which spreads traffic over the different layers, such that more resources are made available for each user and performance is therefore improved. Another feature is Multi Carrier HSDPA, which is extended in Rel 11 to eight carriers. This improves utilization by allowing free resources in the other carriers to be used flexibly. Multiflow is a 3GPP Rel 11 feature candidate, designed to improve cell edge data rates by enabling the transmission of data from multiple cells instead of via a single cell as in HSDPA today. This leads to a doubling of the power available for the wanted signal, increasing the overall user throughput HSPA-LTE carrier aggregation, a feature candidate for future 3GPP releases, enhances traffic steering by enabling fast load balancing between the two radios, ensuring efficient spectrum utilization even when traffic is very bursty. The gain is similar to that of multi carrier HSPA: if the load is low, large efficiency gains can be expected, whereas when loads are high, the gain decreases. These features bring a major improvement to HSPA by using network resources more efficiently, giving larger throughputs for end users and allowing faster response times. Present New features Future Carrier aggregation MIMO 4x MIMO 2x Multipoint systems 3GPP Release 11+ Long Term HSPA Evolution Further enhancements to CELL_FACH + HSPA+LTE aggregation Figure 1. Long Term HSPA Evolution components. 2 Efficient resource utilization improves the customer experience

3 Resource utilization in current networks HSPA is the leading cellular data service currently in use around the world. Traffic on HSPA networks continues to grow and evolve as users develop new ways of interacting with one another and the information around them, and CSPs seek to differentiate and maximize their revenue. The smartphone segment of the market has experienced very rapid growth within a short time, leading to a wide user base and a rich diversity of applications. Smartphone traffic may be driven by a number of processes that Average TTI usage over all cells Average usage 12.2% over 48 hour period expect always on, landline-like connectivity and which may operate even while the user is not interacting with the phone. Social networking, news, healthcare monitoring, push and other autonomous apps may give rise to small amounts of update data in both directions. Another factor is interactive usage, which may range from web browsing, for which short, high burst speeds are critical to the user experience, to voice and video, where steady QoS is key. It also covers file down/uploading, in which average burst speeds affect the user experience. Apart from application data, smartphones generate signaling load that must be dealt with effectively by the network. Hours for two days Figure 2. Average TTI usage over all cells in an RNC area versus the hours in a 48 hour period. Cumulative distribution TTI usage Figure 3. Cumulative distribution of average TTI usage during busy hour per cell. In many markets, tablets and PC dongles have seen significant uptake, generating large amounts of data when users are active. Traffic patterns may involve web browsing, video streaming and file up/download, with requirements similar to smartphones The coming years are also expected to witness a significant expansion in the amount of machine-to-machine (M2M) communications within networks, which will bring new types of traffic profile and QoS requirements. A key characteristic of the traffic growth is that traffic has become bursty, with periods of activity in which high burst speeds are critical to user experience, interspersed with periods of inactivity. Radio resource requirements vary greatly over time and between cells and frequency layers. At any one time, many parts of the network have significant unused resources, while other parts need to deliver high data speeds. An example of this can be seen in Figures 2 and 3, where the average Transmission Time Interval (TTI) usage over all cells in a Radio Network Controller (RNC) area of a mature 3G network is shown, both against the hours in a 48 hour period and as a cumulative distribution function (cdf) over the different cells. The TTI usage is a measure of the network load in a cell. From the figures, the following can be seen: The average load over 48 hours is 12.2%. During the busiest hour of the day, 2% of the cell capacity is used on average, or 6.8% of the overall daily traffic. 19% of the cells have a load of less than 1%, where the median TTI load over the different cells is 9%. 5% of the cells have an average load during busy hour of more than 77%. Efficient resource utilization improves the customer experience 3

4 Resource utilization in current networks Due to the bursty nature of the data traffic and delays in state transfers between idle and connected modes, the number of users connected to a cell is much larger than the number of users with actual data reception or transmission. An example of this can be seen in Figure 4. Sampled over a 24 hour period and across all cells in one RNC area, it compares the cumulative distribution of the average number of connected users per hour with the average number of connected users with data in the buffers. The median for the number of connected users is around 3.6, while only in 5% of the time and cells is there more than one user with data present. With packet traffic, two key aspects of performance are user equipment (UE) burst throughput and packet call capacity. Packet call capacity is the maximum packet call load that, when offered to a cell, can be served to the users. Packet call capacity is typically restricted by the slowest burst throughputs, so improving these not only makes it fairer for users but also improves packet call capacity. In recent years, research and standardization has focused on maximizing link spectral efficiency through features such as Higher order Modulations, MIMO, Continuous Packet Connectivity (which also aims to improve user equipment battery life) and on managing or mitigating interference via technologies such as interference cancelling receivers in the downlink and uplink interference cancellation. Progress on these features has enabled good link efficiency and interference management. However, improving the ability of the network to focus resources instantly where they are needed by using a more liquid capacity has great potential for enabling improved user experiences and higher packet call capacities. The rest of this paper focuses on these features. Cumulative distribution Number of active users Number of active users with data Number of users Figure 4. Cumulative distribution of the number of connected users and number of users with data in the buffers over a 24 hour period in a mature 3G network. 4 Efficient resource utilization improves the customer experience

5 Features enhancing network utilization As we saw in the previous section, underused resources are common in a typical network. In this section, we introduce four features that use these free resources to enhance performance for the user. Multi Band Load Balancing Multi Band Load Balancing (MBLB) is applicable when separate bands are used for HSPA, such as the 9 and 21 MHz band. The feature spreads the traffic over the different layers, such that more resources are made available for each user and performance is improved. This is relevant for today s mature HSPA networks today, since, as shown in the previous section, traffic is distributed quite unequally over the different cells (see Figure 2). There are several benefits, as illustrated in Figure 5. Maximize coverage from the low frequency layer. Balance the network load, i.e. maximize the user throughputs. Avoid frequent handovers by, for instance using different settings for fast moving mobiles. Matching device and network capability, such as MIMO, Dual Carrier (DC), and operating band capability. Matching services to network capability, such as speech service. The MBLB feature uses several mechanisms to manage the load and customer experience in multi-layer and multi-band HSPA networks. A user can be redirected to another layer under different circumstances: During the setup of a call When there is no active data transmission and reception During transition to the Cell_DCH state When entering a new cell with different preferred layer priorities Several criteria are taken into account in the layer selection decision, including capabilities and speed, the service used, the load and channel quality in the source and target cells and the signal strength of the target cell. The actual change of layer can then be applied via handover, radio bearer re-configuration, or redirection. Maximum coverage from low frequency band Balance the network load Avoid frequent handovers Match UE and network capability Micro Micro Only far away calls go to low band Direct load to least loaded layers, ensuring that micro layer also gets traffic High speed UE goes to umbrella layer, avoid macros Direct UEs according to service or HSPA capability (DC, MIMO) Figure 5. Example of Multi Band Load Balancing features and the improvements they bring. Efficient resource utilization improves the customer experience 5

6 As an example, Figure 6 shows the performance in terms of user throughput of the redirection scheme at the transition to Cell_DCH. The layer selection in this example takes into account information on channel quality and load in the serving and target cells: at the transition to Cell_DCH, a UE (Rel 6 or later) can report the best intra/inter-frequency cells (target cells). The RNC may then enforce a redirect to a target cell if it has sufficient channel quality and whose load is lower than the serving cell, thus optimizing the customer experience. The performance plot shows that the redirection mechanism offers no significant benefit in terms of UE throughput when the mobility settings for idle and connected mode are optimized. However, redirects provide a large gain when non-optimal mobility settings are adopted. The optimum settings are challenging to identify in real networks with inconsistent load, cell size, antenna orientations and tilting. Therefore, the redirect scheme could be a simple way to boost network performance. Average user throughput 12 1 User throughput (Mbps) Optimal settings Suboptimal settings Suboptimal settings with MBLB redirection Figure 6. Average UE throughput with and without MBLB redirection (redirect). 6 Efficient resource utilization improves the customer experience

7 Multi Carrier HSDPA Dual Carrier (DC) HSDPA is a 3GPP release 8 feature commercially deployed in a large number of markets. However, the disadvantage of the feature is that it limits the aggregation to two 5 MHz radio carriers within the same band. This is changed in Rel 9, which introduces DC for carriers in different bands. Rel 1 extends the functionality to aggregation over four carriers, with Rel 11 extending it still further to eight carriers. This leads to a peak data rate of 672 Mbps when combined with 4x4 MIMO. The benefits of aggregating multiple carriers are significant for the end user, since a diversity gain can be achieved from scheduling on the best carrier(s) and especially due to the fact that free resources in the other carriers can be used flexibly. As described in the first section, free resources are often available. The gains can be seen in Figures 7 and 8. These show the cumulative distribution of the average user throughput and the mean packet call delay for the macro cells scenario, with an average cell load of 1 Mbps consisting of bursty traffic Cumulative probability carrier available from 8 carrier bandwidth 4 carriers available from 8 carrier bandwidth All carriers available in 8 carrier bandwidth User data throughput (Mbps) Figure 7. Cumulative distribution of the average data throughput (Mbps) for 1, 4 and 8 carriers at low offered load (1 Mbps). Efficient resource utilization improves the customer experience 7

8 The gains depend significantly on the load in the system. If the load is high, then there will be fewer free resources on the other carriers, which results in lower gains. Multi carrier HSPA also gives a capacity gain, which can be seen in Figure 9, which shows the mean cell throughput per carrier as a function of the offered load per carrier. It can be seen that with an offered load per carrier of around 2 Mbps, the system with a single carrier starts to become saturated, whereas with a larger number of carriers, the offered load can still be served. Using multicarrier aggregation increases the total packet call capacity of the network, in addition to the gains in individual user throughput. Mean data connection delay (s) carrier available from 8 carrier bandwidth 4 carriers available from 8 carrier bandwidth All carriers available in 8 carrier bandwidth Scheme Figure 8. Mean data connection delay (s) for 1, 4 and 8 carriers at low offered load (1 Mbps) with data connections of 1 Mbit. 6 Mean packet call throughput (Mbps) Single carrier Quad carrier Oct carrier Offered load per carrier (Mbps) Figure 9. Mean normalized cell throughput (Mbps) for 1, 4 and 8 carriers as a function of the offered load. 8 Efficient resource utilization improves the customer experience

9 Multiflow Another feature enabling a better use of resources in cellular systems is Multiflow. This is a 3GPP Rel 11 feature candidate, designed to improve cell edge data rates by enabling the transmission of data from multiple cells to a UE at the common cell edge, instead of transmitting the data via a single cell as in HSDPA today. This is illustrated in Figure 1 for dual cell operation. Each of the data flows in Multiflow can be scheduled independently. This leads to a doubling of the power available for the desired signal at the UE, which is used to increase the overall user throughput. For Rel 11, Multiflow is considered for up to four different flows over two different frequencies, one can send data from up to four different cells to a UE. Current HSDPA HSDPA Multi Point Interference Signal Signal Signal Figure 1. Multiflow transmission and conventional HSDPA. RNC Signal Data stream 1 Data stream 2 Data stream 1 Data stream 1 Multiflow can be done among cells of the same site (intra-site Multiflow) or between sites (inter-site Multiflow). In the latter case, the data is split in the RNC and directed to each of the different base stations, taking the throughput and load from that cell into account. In the intra-site case, the data is split in the MAC layer and the base station can perform joint scheduling in order to further optimize resource usage (similar to DC HSDPA). Both of these cases are illustrated in Figure 11. Base station Inter-site multi flow Base station Scheduling of the Multiflow streams can be done in different ways. A common requirement for the scheduler is to minimize the effect on the non Multiflow terminals. This can be done by differentiating scheduling for the serving cell and the cell that is assisting in Multiflow transmission. More precisely, the traffic in each cell is prioritized in such a way that traffic belonging to UEs that use the cell as a serving cell is prioritized over the UEs that use it as an assisting cell. This means the benefit from Multiflow will only be seen when the neighboring cell has unused resources. As outlined previously, in current networks there is a large Multiflow potential, as typically, many TTIs are available where there is no user scheduled. Inter-site multi flow Base station RNC Figure 11. Intra-site and inter-site Multiflow. Efficient resource utilization improves the customer experience 9

10 Other scheduling methods are also possible, based, for example, on the UE throughput, load, service type, or QoS. Multiflowdoes not require coordination of the packet schedulers taking part in the Multiflow transmission, thus simplifying the concept and enabling inter-site deployment. Uncoordinated transmission, however, may lead to situations where a UE receives two flows simultaneously from two base stations. To spatially separate and successfully decode the flows, the terminal must have a minimum of two receive antennas and interferenceaware receiver chains. Figure 12 shows the cumulative distribution of the throughput experienced by the user with and without Multiflow (including both intrasite and inter-site Multiflow UEs). At the low values of the cumulative distribution, users at the cell edge gain particular benefit from Multiflow, since they are the most likely to receive transmissions from multiple cells with adequate signal quality. Cumulative distribution Reference all UEs Multiflow all UEs User experienced throughput (Mbps) Figure 12. Cumulative distribution of throughputs experienced by users with and without inter-site multiflow. Total offered load is 4 kbps/cell. 1 Efficient resource utilization improves the customer experience

11 The Multiflow gain depends on the offered load, see Figure 13. At low load, the gains are considerable, whereas they disappear at high load. This is because at high load, the assisting cells do not have free resources and thus will never schedule to the Multiflow user. Several variations of Multiflow are considered in 3GPP, depending on the number of carriers in use in the network and on the amount of simultaneous RX chains that the UE can handle. In a network in which only one carrier frequency is used, the UE will be required to receive up to two links simultaneously. Hence this variant is called Single Frequency Dual Cell (SF-DC) aggregation. In a dual carrier network, the UE can best take advantage of a neighboring cell s carriers if it has a receiver with four RX chains; hence this variant is labeled Multiflow Dual Frequency Quad Cell (DF-4C) aggregation. The combination of Multiflow and multiple beams can be used to further User experienced throughput (Mbps) Figure 13. Mean user throughput versus offered load per cell. optimize the system. As an example, Figure 14 shows the case where vertical sectorization is used in combination with Multiflow. This way, during high load, one can utilize the capacity increase due to vertical sectorization, whereas during low load, users at the cell edges benefit from Multiflow. Offered load (Mbps) All UEs ref All UEs mflow 5-% tile ref 5-% tile mflow Potential Multiflow areas Figure 14. Combination of vertical sectorization and multipoint. Efficient resource utilization improves the customer experience 11

12 B: Femto terminals seeing DL macro interference, esp. under cell range extension Many pico cells A: Macro terminal seeing strong downlink interference from small cell Macro cell HSPA LTE Carrier Aggregation D: Many small cell terminals creating uplink interference to macro cell HSPA-LTE carrier aggregation is a feature under consideration in 3GPP for future releases beyond 3GPP Rel 11. The idea is that one UE can simultaneously use resources from both LTE and HSPA, thus increasing the peak data rate and cell edge data rates of both systems. Even before Rel 11, it is possible to aggregate over several carriers in both LTE and HSPA, C: Macro terminal creating strong uplink interference to small cell with traffic being steered between the two systems by inter-system handovers, as illustrated in Figure 15. HSPA-LTE carrier aggregation enhances traffic steering by enabling fast load balancing between the two radios, ensuring efficient spectrum utilization even under the most bursty traffic conditions. The gain mechanisms are very similar to that of multi-carrier HSPA: if the load is low, large gains can be expected, whereas when loads are high, the gain decreases. Pico cell LTE LTE carrier aggregation Multi carrier reception of LTE Handover between HSPA and LTE HSPA + LTE aggregation Simultaneous reception of HSPA and LTE HSPA HSPA carrier aggregation Multi carrier reception of HSPA Figure 15. HSPA + LTE aggregation. 12 Efficient resource utilization improves the customer experience

13 Further considerations The previous section described different features which help boost the customer experience by improving radio utilization. These features focus primarily on the downlink but also lead to uplink improvements: Multi Band Load Balancing improves the uplink performance, since, when directing the UE to another layer, both downlink and uplink are considered in cell and layer selection. Benefits are similar to those in the downlink. Multiple carrier HSPA is also supported for the uplink from Rel 9, however the number of carriers is limited to two. A different number of carriers is supported in the downlink and uplink because downlink traffic volumes exceed uplink volumes, and because the UE will often become limited by transmit power as the number of carriers increases. Multiflow is a pure downlink feature. The uplink signal will typically be in soft or softer handover when multipoint is being used in the downlink. In addition to the features mentioned in the previous section, Long Term HSPA Evolution brings further improvements: Further enhancements to Cell_ FACH, while maintaining the good performance of Cell_PCH and Cell_DCH. This is mainly focused on traffic from smartphones. Uplink Closed Loop Transmit Diversity, enhancing the uplink to support TX diversity. At a later phase, uplink MIMO may be added to the specification, enhancing the uplink peak data rate. Downlink 4x4 MIMO, enhancing spectral efficiency and peak data rate in the downlink. Efficient resource utilization improves the customer experience 13

14 B: Femto terminals seeing DL macro interference, esp. under cell range extension Summary Many pico cells A: Macro terminal seeing strong downlink interference from small cell Macro cell D: Many small cell terminals creating uplink interference to macro cell Traffic in today s networks is bursty, alternating between periods of activity in which high burst speeds are critical to user experience, and periods of inactivity. This results in a significant amount of free resources in today s mature HSPA networks. A number of features are being introduced to improve the customer experience by increasing the utilization of these network resources. An overview of the different features and their benefits is given in Figure 16. These features bring a major improvement to HSPA by simply using network resources more efficiently C: Macro terminal creating strong uplink interference to small cell leading to the end user seeing larger throughputs and faster response times. The benefits of these features are hard to quantify because they are often inter-dependent and also vary according to the actual network scenario. However, some possible benefits include: MBLB: Optimum performance can be achieved with a minimal amount of tuning needed, leading to lower operational costs Multi carrier HSPA: With eight carriers, an increase in user throughput of up eight times that of a single carrier could be expected Multiflow can lead to a gain at the cell edge of up to 5% HSPA-LTE carrier aggregation can achieve significant peak Pico cell data rate gains although the amount depends on spectrum allocations and load. As well as the features dealt with in this white paper, other features beyond its scope are being developed and will be introduced simultaneously, maintaining the rapid evolution of HSPA. Multi band load balancing (MBLB) - Improves the user performance - Utilizes free downlink and uplink resources in other bands/carriers - Operates on a per second level - Supported for all UEs Multi carrier HSPA - Improves peak rates and user throughput - Utilizes free downlink and uplink resources in other co-located carriers/cells - Operates on a per TTI level - Supported for Rel 8+ UEs (2 carriers for Rel 8 up to 8 carriers for 3GPP Rel 11) Multiflow - Improves cell edge user throughputs - Utilizes free downlink resources in other cells (intra- and intersite) - OPrates on a per TTI level - Candidate for 3GPP Rel 11 - Requires UE support HSPA - LTE aggregation - Improves the user performance - Utilizes free downlink and uplink resources in other systems - Requires UE support Figure 16. Feature overview. LTE LTE carrier aggregation Multi carrier of LTE 14 Efficient resource utilization improves the customer experience

15 Abbreviations 3GPP Cell_DCH Cell_FACH Cell_PCH CSP DC DF-4C HSDPA HSPA LTE M2M MBLB MIMO QoS RNC SF-DC TTI UE Third Generation Partnership Project Cell Dedicated Channel Cell Forward Access Channel Cell Paging Channel Communications service provider Dual Carrier Dual Frequency Quad Cell High Speed Downlink Packet Access High Speed Packet Access Long Term Evolution Machine-to-machine Multi Band Load Balancing Multiple-Input Multiple-Output Quality of Service Radio Network Controller Single Frequency Dual Cell Transmission Time Interval User Equipment Efficient resource utilization improves the customer experience 15

16 Nokia Siemens Networks Corporation P.O. Box.1 FI-222 NOKIA SIEMENS NETWORKS Finland Visiting address Karaportti 3, ESPOO, Finland Switchboard Product code: C WP EN Copyright 212 Nokia Siemens Networks. All rights reserved. A license is hereby granted to download and print a copy of this document for personal use only. No other license to any other intellectual property rights is granted herein. Unless expressly permitted herein, reproduction, transfer, distribution or storage of part or all of the contents in any form without the prior written permission of Nokia Siemens Networks is prohibited. The content of this document is provided AS IS, without warranties of any kind with regards its accuracy or reliability, and specifically excluding all implied warranties, for example of merchantability, fitness for purpose, title and non-infringement. In no event shall Nokia Siemens Networks be liable for any special, indirect or consequential damages, or any damages whatsoever resulting form loss of use, data or profits, arising out of or in connection with the use of the document. Nokia Siemens Networks reserves the right to revise the document or withdraw it at any time without prior notice. Nokia is a registered trademark of Nokia Corporation, Siemens is a registered trademark of Siemens AG. The wave logo is a trademark of Nokia Siemens Networks Oy. Other company and product names mentioned in this document may be trademarks of their respective owners, and they are mentioned for identification purposes only.

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