Wireless 5G: Challenges from Technical and Services Aspects
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1 Wireless 5G: Challenges from Technical and Services Aspects By Professor T. Russell Hsing CS College, National Chiao Tung University (Taiwan) Wireless Communications and Signal Proc. Peking University (China) Industrial Advisor, EDGE Lab./EE Dept. Princeton University (US) Advisor, Next Generation Mobile Networks (NGMN) Alliance (Germany) ICNC, February 16,
2 Wireless Evolution: Technologies, Services and Business Models Packet Networking 3G/4G 5G?! Internet Internet Internet of Things Internet of Vehicles Smart Grid e-healthcare Manufacturer Digitalization 2G/2.5G(Digital) Internet Manufacturer 1G (Analogy) Internet Manufacturer Source: Prof. Bo-Chao Cheng 2
3 Internet of Vehicles: Vehicular Telematics Applications (1/2) Safety/Auto Services Navigation & Mobility Infotainment & E-commerce Telematics Enabled Vehicles V2I Communication V2V Communication GPS Connected Vehicle Services Safety/Auto services Driver Safety and Security Vehicle Maintenance Navigation & Mobility Traffic, ETA, POI, Localized Searches Tolls and Parking Infotainment & E-Commerce Digital Content Social Networking Enabling Trends Smartphone Platforms App Store Business Model Tethering for OBU OBU and Passenger Entertainment Systems Embedded wireless and sensors Smartphone integration with improved HMI Infrastructure Vehicle Infrastructure Integration (Future) Cloud based delivery 3
4 Internet of Vehicles: High Speed Rail (HSR) (2/2) Train Control System Data transmission Required high reliability and security Communication System Voice communication Train crews and operation center Data transmission Diagnostics, CCTV or etc. Passenger service Wi-Fi connecting to Internet Acela Express (Amtrak, USA) TGV (SCNF, France) Tokaido Shinkansen (JRC, Japan)
5 Health ICT Significant Initiatives & Trend Major world economies are investing in Health ICT (Information and Communications Technology) to enable connected personalized healthcare to help reduce costs and improve quality through their national socio-economic development priority initiatives US - Health-IT ( ); EU - i2010 Initiative ( ) & Seventh Framework Programme (FP7) ( ); Japan: U-Japan ( ), and China: 12-5 ( ) Health ICT Trend Go to Mobile (m-health) Go to Personalization Go to Data Analysis and Behavior Coaching Go to Cloud (Computing) 2/19/2015
6 Healthcare Service Trend: Personalized ehealth Personalized ehealth is supported by worldwide major governments as a way to reduce costs and improve medical quality through their national socio-economic development initiatives Personalized healthcare moves traditional treatmentcentric disease management toward prevention through systematically life style changes ehealth provides ubiquitous and reliable support and access of healthcare management at anywhere and anytime 2/19/2015
7 General e-healthcare System Front-End System Backend System Home Office Travel Tele-Care Center At-Risk/illPatient Case Manager Physician Hospital l HIS Sensor Gateway Internet/ 3G/4G/5G Hospital Tele-Care System HIS: Health Information System Source: Dr. Tsong-Ho Wu, ITRI Fellow 2/19/2015
8 All of The Following Seven Key Technologies for ICT Applications & Services Have Being Constantly Improved: Communication Computing Storage Interface Sensor Actuator Software Algorithm Source: Dr. Adam Drobot 8
9 Wireless 5G: Why Now? Currently 3G/ 4G could deliver unprecedented: Coverage Bandwidth Latency (not quite yet!) Reliability But 3G/4G could not fulfill many of the demanded emerging services and the new type of social media-enabled traffic pattern now After iphone was introduced in 2007, Steve Jobs Un-equilibrium Relationship occurs Immediately, i.e. Create a Market Gap of Demands >> Supply Traffic volumes will be increased at least 10~500 X from 2010 to 2020 Energy required will be needed by at least 100X, Need Green Energy Comm. Need Best Effort QoS >> Guaranteed QoS Services for End-to-End Internet Networks, and Spectra Efficiency Need new Business Models and Spectra Efficiency February 16,
10 Wireless 5G: How? (i.e. Anticipated Features) In the Near Future: Wireless 5G s anticipated features Wireless 5G technologies should deliver explosive range & depth services: Personalization, Immediacy, Anticipation, Smart Data Pricing (SDP) NFV/SDN-Based Mobility Management for Wireless 5G Cognitive Radio Network (CRN)-Based Spectrum Sharing Small Cell Networks (for huge data transactions applications) New Business Models: NaaS, DaaS, KaaS February 16,
11 Examples: Three Features and Killer Application Scenario for the Future Wireless 5G Feature 1: Small Cell Networks & Fog Networking Feature 2: Smart Data Pricing Feature 3: SDN-Based Mobility Management Feature 4: Ultra-Low Latency Delay for E2E Network Application Scenario: Internet of Vehicles Me February 16,
12 Radio mall Cells for LTE-A/B, IoT, 5G 3 1,2 Interference/ Coverage Network Operator Service for smarter apps. 3D Radio Resource Management 4 POWER FLOW Frequency 1. More efficient traffic aggregate for smarter apps and services 2. More efficient QoS management for revenue based model 3. More adaptive network management for deploying to multiple areas (Wide, Hotspt, Indoors) and business cases (Metro, Residential, Enterprise) 4. More efficient spectrum/radio resource management to squeeze more capacity and value out of spectrum Source: Ming-Jye Sheng, EDGE Lab. Princeton University
13 Prof. Bo-Chao Cheng Why Smart Data Pricing? (1/3)
14 Bandwidth-Hungry Devices Cloud Service M2M Applications Capacity-Hungry Application Why Smart Data Pricing? (2/3) Flat-Rate Pricing Network Congestion (Bursty Internet Traffic) Source: Hard Solution: Network Deployment Soft Solution: Pricing Strategy Usage-Based since 2008 Application- Based Cons 1. What Time 2. Traffic Condition 3. Network Resource July, 2014 Source: Dr. Gi-Ren Liu & Prof. Phone Lin 14
15 Applications for Smart Data Pricing (3/3) Time & Traffic Dependent Pricing: Peak Load Pricing Off-Peak Discounting Change of User Incentives for Internet Access Pros: Ease Network Congestion Flatten Traffic Burst Cons: Network Neutrality Hurt Demand? Time- & Traffic-Shifting Data Demand July, 2014 Example: TUBE Solution by Mung Chiang s LAB, PRINCETON ering/news/archive/?id=5103 TUBE by Chiang's lab, a solution, allows smartphone users to pay for their network usage based on what time they download videos and other data. The UI on an iphone provides users with information on pricing and usage history to encourage them to use their phone during off-peak hours. Source: Dr. Gi-Ren Liu & Prof. Phone Lin 15
16 What is SDN-Based Mobility Management* Incompatible wireless systems will still coexist in the future In SDN-based mobility management Core network and radio network are reconfigurable Both network and mobile node can choose their prefer mobility management protocols *Jyh-Cheng Chen, et. al, Reconfigurable architecture and mobility management for next-generation wireless IP networks, IEEE Transactions on Wireless Communications, August 2007 *Jyh-Cheng Chen, et. al, "RAMP: reconfigurable architecture and mobility platform. IEEE GLOBECOM
17 Why SDN-based Mobility Management The network can incorporate different mobility protocols with different features. Mobile node can change its mobility protocol at anytime when moving into different networks. Can incorporate new protocols easily Can integrate heterogeneous networks easily Provide guaranteed QoS for end-to-end Internet February 16, 2015, Source: Prof. Jyh-Cheng Chen, NCTU 17
18 Wireless Evolution: Technologies, Services and Business Models 5G Internet of Vehicles Internet Internet of Things Smart Grid Packet Networking 3G/4G Internet Manufacturer Digitalization 2G/2.5G(Digital) Internet Manufacturer 1G (Analogy) Internet Manufacturer Source: Prof. Bo-Chao Cheng 18
19 Wireless 5G: Enabling Technology to Realize IoT Applications & Services Internet of Things (IoT) : many new emerging services (such as Vehicle-to-Vehicle (V2V) Services, Mobile e-healthcare services) can be realized via D2D, M2M, and V2V Wireless 5G: Few Key Features needed to deal with the following scenarios : Traffic volumes will be increased at least 10~500 X from 2010 to 2020 Ultra low latency from end-to-end wireless network (target<10 ms) Energy required will be needed by at least 100X, Need Green Energy Comm., and Spectrum Efficency Need Best Effort QoS >> Guaranteed QoS Services for Endto-End Internet Networks, February 16,
20 Major Key Factors (By Dr. Shih-I Chen, III, 2014) Network Architecture toward flat architecture System Procedures Smaller TTI 1. System Specs 2. Implementation Provisioning Deployment Processing Delay Resource Management Network load Channel Status TTI + Frame Alignment RAN Edge faster processing 1ms 1.5ms 1ms 1ms 0.5ms 80%? 80%? 80%? 80%? 0.2ms 0.3ms 0.2ms 1ms 0.1ms Reference: FP7 ICT LOLA 11
21 Emerging Network Topologies for Further Reduced End-to-End Latency (by Dr. Shih-I Chen, III) Cloud-Radio-Access-Network (C-RAN) Centralized BB processing and load balance could facilitate RAN resource allocation and reduce radio access network processing delay Device-to-Device (D2D) communications could significantly eliminate network processing delay Software-Define Network (SDN) could reduce core network transport delay 21
22 Source : Professor Mung Chiang, Princeton University 22
23 Source : Professor Mung Chiang, Princeton University 23
24 Source : Professor Mung Chiang, Princeton University 24
25 Technology Trend: Cloud-based Networking >> Fog-based Networking ( Pushing processing and storage into the cloud has been a key trend in networking and distributed systems in the past decade. In the next wave of technology advance, the cloud is now descending to be diffused among the client devices, often with mobility too: the cloud is becoming fog. Fog Networking combines the study of mobile communications, micro-clouds, distributed systems, and consumer big data into an exciting new area Source: Prof. Mung Chiang, Princeton University 25
26 Source : Professor Mung Chiang, Princeton University 26
27 Cloud Networks >> Fog Networks What It Is? Compared with Cloud-based Radio Access Network (C-RAN), Fog Networking Radio Access Network (F-RAN) is P2P for the Applications & Services architectural solution. It will be able to provide new emerging services which require ultra-low latency delay with differentiated QoS for end-to-end wireless 5G Network Why Wireless 5G Needs It? Deliver many new IoT services and applications (like real-time stream mining and security monitoring in big data centers, smart homes, V2V for car safety, distributed management for resources allocation, etc.) for end-users at the edge of network How to Implement It? The interface between what stays on edge and what goes to cloud is the key Both F-RAN and C-RAN should cooperate with each other, just like WiFi and LTE for different usage scenarios depending on business model and applications behavior
28 Wireless 5G for New Enabling Services Creation -IoT Applications & New Emerging Services Creation Based on Fog/Cloud Computing Platform to develop Mobile Applications which are ubiquitous, scalable, reliable and cost effective Internet of Vehicles (IoV), Healthcare Services, and IoM (Internet of Me) Privacy-preserving secured communications Green Communications for Future Mobile Wireless Technology and Services Provision Smart Data Pricing Applications ISP, Content provider, Consumer Win-Win-Win ecosystem New Business Models: NaaS,, DaaS, and KaaS February 16,
29 Gracias! Dziekuje! 謝 謝! Thank You!
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