Enabling Customized Services in Emerging 4G Networks (It is services time, customized services time) Sampath Rangarajan (with Ravi Kokku, Rajesh Mahindra, Honghai Zhang)

Evolution of Mobile Voice/Data Tech. Peak data rate Average Throughput IS-136 GSM IS-95A HSPA+, LTE GPRS EDGE IS-95B 1X EV-DO UMTS 1X EV-DV 1X d e 4G family of technologies LTE-Advanced UMB m Enhanced IMT2000 IMT-Advanced IMT2000 ITU (International Telecommunications Union) classification 3.5G 3G 3GPP2 3GPP X

4G Cellular Network Deployment Gateways Internet Content Servers Base stations Mobile Devices Weather Social n/w Maps Cellular Network Operator 3

WiMAX Network Deployment ASN-Gateway CSN-Gateway Internet Content Servers Base stations Mobile Devices Weather Social n/w Maps WiMAX Network Operator 4

Virtualized Cellular Network Deployment Internet Content Servers Mobile Devices Weather Social n/w Maps Cellular Access Network Cellular Operator 2 Cellular Operator 1 Cellular Operator 3 5 Physical network sliced into multiple virtual networks: Each virtual operator gets an impression that they own (an isolated part of) the network Virtual Networks

6 MapsWeather Social n/w VoIP/Video User devices Service Provider Network Operator Use case 1: Mobile Virtual Network Operators, Corporate bundles Groups of users are provided with isolated resources

7 Maps Weather Social n/w VoIP/Video User devices Service Provider Network Operator Use case 2: Service Providers with Resource Reservations Service providers with isolated resources New business models

8 Maps Weather Social n/w User devices Service Provider Network Operator VoIP/Video Use case 3: End-to-end Isolation Complete isolation for Evaluation of new algorithms (GENI) Corporate intranets MNOs provisioning limited services

NVS: Network Virtualization Substrate Three key requirements –Isolation across slices –Customizability Slices can deploy their own resource management algorithms for their flows –Efficient base-station resource utilization (important to MNO) Design considerations –Level of isolation Flow(s), subchannel, time, hardware Tradeoff: isolation vs. utilization –Provisioning Bandwidth or resource-based 9 Base station Slice 1 Slice 2 Slice 3 Utility (QoS) Resource (cost) 64-QAM QPSK Fixed bandwidth allocation Fixed resource allocation GOAL: Ability to run multiple virtual slices with isolated wireless resources on the same physical base-station

NVS Design KEY IDEA: Decouple Flow scheduling from Slice scheduling problem 1. Customizable Flow Management Framework –QoS Management defined or selected by slices Custom schedulers Facilitates innovation and differentiation 2. Optimal Slice Scheduler –Addresses both bandwidth and resource based slice provisioning E.g. 3 Mbps Min/Max E.g 10% of radio resources Slice Manager (MNO) Slice Owner 10

NVS-Plugin Design Frame Scheduler NVS Slice Scheduler Downlink Scheduler Classifier SLICE #1 CELLULAR BASESTATION QoS Scheduler NVS Plug-in Downlink Scheduler Classifier SLICE #2 Synchronizer Flow-level Feedback Utilization Gateway 11 Implementation of NVS outside the base-station

NVS-Plugin Deployment Architecture Gateway NVS Plug-In Vendor-1 BS Virgin Mobile AT&T Mobile TV Mobile Network Operator Boost Metro PCS ESPN Mobile 12 Vendor-2 BS Vendor-3 BS

13 Implementation and Evaluation 13 Clients ASN CSN Basestation Antenna Attenuator Access to the MAC software, esp. scheduling Picochip WiMAX Platform

Classifier BASE STATION Low Priority TCP (e.g. Bittorrent) Regular TCP (e.g. HTTP FLV) UDP (e.g. RTSP) Slice Scheduler Frame/User Discard MESA Slices with bandwidth reservations: Can be added, and classifier Updated dynamically Periodic wireless channel feedback Low Priority TCP (Bittorrent) Back pressure Other Classifier MESA (Video Flow Optimizer) 14

Conclusion NVS: Network virtualization substrate –For virtualizing a cellular basestation –Equally applicable to several cellular technologies Allows innovation and customization at slice level Papers to be presented at MobiCom 2010 and MobiArch 2010 Demo video at – 15