1. Copyright © 2011, MBL@CS.NCTU Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution Speaker: 劉姿瑾 Date: 25/09/2012 1

2. Copyright © 2011, MBL@CS.NCTU Outline Introduction Background Issue Related works Solution Idea References 2

3. Copyright © 2011, MBL@CS.NCTU 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

4. Copyright © 2011, MBL@CS.NCTU Background M2M – Machine-to-Machine: Devices can communicate with each other. –Machine Type Communication (MTC) / Information of Things (IoT) –All machines connected to Internet –Heterogeneous network LTE –MIMO (Supporting Diversity and Multiplexing) –High data rate (Downlink up to 300Mbps) –Mobility (Up to 350 km/hr) M2M over LTE: Devices connect to Internet via LTE. –Directly connect –MTCGW – MTC Gateway Pros –Mobility –Lower construction cost Challenges –Different QoS requirements –Resource allocation –Fairness among devices/users 4

5. Copyright © 2011, MBL@CS.NCTU 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) 5

6. Copyright © 2011, MBL@CS.NCTU Related Works [1] Nikaein et al. [2] Zheng et al. [3] Tania et al. [4] Corici et al. Proposed TypeAnalysisMechanism ObjectiveLatency reduction Spectrum efficiency Spectrum efficiency + Latency reduction Bearer efficiency Spectrum efficiency + QoS provided Performance metric Latency Budget CDFOutage probability N/A DomainEUTRAN +EPC EUTRANEPCEUTRAN Cross LayerN/A X; Only CQIN/ACQI + MIMO Heterogeneous Network N/AO O Real timeOOON/AO 6

7. Copyright © 2011, MBL@CS.NCTU Solution Idea Transmission MIMO Scheme Resource Allocation Priority Decision QoS demandsChannel Quality Received Data M2M Service QoS Criteria Definition Data TypeLocation 7

8. Copyright © 2011, MBL@CS.NCTU References [1] Latency for Real-time Machine-to-Machine Communication in LTE-Based System Architecture; Nikaein, Navid; Krea, Srdjan; Wireless Conference 2011 - 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, 2012. 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 8