Copyright © 2011, Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution Speaker: 劉姿瑾 Date: 09/10/2012 1

Copyright © 2011, Outline Introduction Background Issue Related works Scenario Solution Idea References 2

Copyright © 2011, Introduction Motivation: Real-time traffic reporting system with vehicular communication could be greatly improved when using LTE. Using 2G/3G cellular network may counter: –Long end-to-end delay –Disconnect when moving fast The new traffic reporting system takes the advantages of m2m communication and LTE network. –Increasing data rate –Higher mobility –Reporting real-time data like images or video from Cars Roadside units 3

Copyright © 2011, Background M2M – Machine-to-Machine: Devices can communicate with each other. –Machine Type Communication (MTC) –Information of Things (IoT) –All machines connected to Internet Direct connected M2M Gateway –Heterogeneous network WSN Bluetooth Wi-Fi Cellular network 4

Copyright © 2011, Background M2M Architecture 5

Copyright © 2011, Background LTE – 3GPP Long Term Evolution –High data rate Downlink up to 300Mbps Uplink up to 75Mbps –Mobility (Up to 350 km/hr) –MIMO Diversity (Space-Time Coding) Spatial Multiplexing M2M over LTE: Devices connect to Internet via LTE. –M2M core network using LTE –High Mobility –Low network construction cost –Large amount of devices may leads to network outage –Devices have different QoS demands 6

Copyright © 2011, Related Works [1] Nikaein et al. [2] Zheng et al. [3] Tania et al. [4] Corici et al. Proposed TypeAnalysisMechanism ObjectiveLatency reductio n Spectru m efficiency Spectrum efficiency + Latency reduction Bearer efficiency Spectrum efficiency + QoS provided Performance metric Latency Budget CDFOutage probability N/A DomainEUTRA N+EPC EUTRANEPCEUTRAN Cross LayerN/A X; Only CQIN/ACQI + MIMO Heterogeneou s Network N/AO O Real timeOOON/AO 7

Copyright © 2011, Issue Challenges of M2M over LTE –Different QoS requirements among devices –Resource allocation –Fairness among devices/users M2M Application with QoS requirements –To satisfy QoS criteria: Application specific QoS level –To scheduling resource depends on: QoS criteria Channel Quality (CQI) Other instant conditions User fairness –Optimizing Transfer Modulation & Coding Scheme (MCS) MIMO scheme (AMS - Adaptive MIMO Switching) Heterogeneous Network 8

Copyright © 2011, Scenario Real-time traffic report system using M2M over LTE –Different sensors in car can collect a variety of information –Different types of vehicles. –Vehicles transfer traffic information through: Roadside unit as MTCGW Directly via LTE To scheduling resource depends on: –QoS level –Channel Quality (CQI) –Location –Speed 9

Copyright © 2011, Issue To satisfy all users with different QoS levels, and reach the maximum possible spectrum efficiency, there are many aspects to concern: QoS Levels: –Different types of vehicles and data –Location Instant Channel Quality –Which channel conditions to take are decided by what kind of network the devices used. –Adaptive MIMO Switching (AMS) 10

Copyright © 2011, Scenario 11

Copyright © 2011, Solution Idea Transmission MIMO Scheme Resource Allocation Priority Decision QoSCQILocationMobility Received Data M2M Service QoS Criteria Definition Data TypeDevice Capability 12

Copyright © 2011, Parameters Definitions ParametersNotations Number of Vehicles Number of Vehicle Capabilities Vehicle Capability Weights of Vehicle Capabilities Vehicle Type QoS Level Location Speed CQI 13

Copyright © 2011, QoS Criteria Definition QoS Parameters - –Vehicle Capability –Type 14 Vehicle Capability LTE Adapter GPS Video Transceiver Collision Warning System MIMO Support Vehicle Type Police/ Ambulance/ Fire Truck Public transportation Others

Copyright © 2011, Priority Decisions QoS Level –Higher QoS Level grants higher priority. CQI –Instant Cannel Conditions Location –Vehicles near the MTCGW have higher priority. Speed –Higher speed results in lower priority. 15

Copyright © 2011, MIMO Scheme MIMO AMS - Adaptive MIMO Switching 16

Copyright © 2011, Future Works Formalizing priority definition parameters –QoS/ CQI/ Location/ Speed Scheduling algorithm AMS survey 17

Copyright © 2011, References [1] Latency for Real-time Machine-to-Machine Communication in LTE-Based System Architecture; Nikaein, Navid; Krea, Srdjan; Wireless Conference Sustainable Wireless Technologies (European Wireless), 11th European [2] Radio Resource Allocation in LTE-Advanced Celluler Networks with M2M Communications; Kan Zheng; Fanglong Hu; Wenbo Wang; Wei Xiang; Dohler, M.; Communications Magazine, IEEE [3] Adaptive Modulation and Coding with Hybrid-ARQ for Latency-constrained Networks; Villa, Tania; Merz, Ruben; Knopp, Raymond; Takyar, Uday; European Wireless, EW. 18th European Wireless Conference [4] Evolution of the Resource Reservation Mechanisms for Machine Type Communication Over Mobile Broadband Evolved Packet Core Architecture; Corici, M.; Fiedler, J.; Magedanz, T.; Vingarzan, D.; GLOBECOM Workshops (GC Wkshps), 2011 IEEE 18