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Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution

Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution. Speaker: 劉姿瑾 Date : 09 /10/2012. Outline. Introduction Background Issue Related works Scenario Solution Idea References. Introduction.

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Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution

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

  2. Outline Introduction Background Issue Related works Scenario Solution Idea References

  3. 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

  4. 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

  5. Background M2M Architecture

  6. 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

  7. Related Works

  8. Issue • Challenges of M2M over LTE • Different QoSrequirements among devices • Resource allocation • Fairness among devices/users • M2M Application with QoS requirements • To satisfy QoScriteria: • Application specific QoSlevel • 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

  9. 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: • QoSlevel • Channel Quality (CQI) • Location • Speed

  10. Scenario

  11. Solution Idea

  12. Parameters Definitions

  13. QoS Criteria Definition • QoS Parameters - • Vehicle Capability • Type

  14. 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. MIMO Scheme MIMO AMS - Adaptive MIMO Switching

  16. Future Works • Formalizing priority definition parameters • QoS/ CQI/ Location/ Speed • Scheduling algorithm • AMS survey

  17. 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; KanZheng; 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

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