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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. - PowerPoint PPT Presentation
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Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution
Speaker: 劉姿瑾Date: 09/10/2012
Copyright © 2011, MBL@CS.NCTU
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Outline
• Introduction• Background• Issue• Related works• Scenario • Solution Idea• References
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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
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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
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Background
• M2M Architecture
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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
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Related Works[1] Nikaein et al.
[2] Zheng et al.
[3] Tania et al.
[4] Corici et al.
Proposed
Type Analysis Mechanism
Objective Latency reduction
Spectrum efficiency
Spectrum efficiency + Latency reduction
Bearer efficiency
Spectrum efficiency + QoS provided
Performance metric
Latency Budget
CDF Outage probability
N/A N/A
Domain EUTRAN+EPC
EUTRAN+EPC
EUTRAN EPC EUTRAN
Cross Layer N/A N/A X; Only CQI N/A CQI + MIMO
Heterogeneous Network
N/A O N/A N/A O
Real time O O O N/A O
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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
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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
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Scenario
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Solution Idea
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Parameters Definitions
Parameters NotationsNumber of Vehicles
Number of Vehicle Capabilities
Vehicle Capability
Weights of Vehicle Capabilities
Vehicle Type
QoS Level
Location
Speed
CQI
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QoS Criteria Definition
• QoS Parameters - – Vehicle Capability– Type
Vehicle CapabilityLTE Adapter
GPS
Video Transceiver
Collision Warning System
MIMO Support
Vehicle TypePolice/ Ambulance/ Fire TruckPublic transportation
Others
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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.
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MIMO Scheme
• MIMO AMS - Adaptive MIMO Switching
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Future Works
• Formalizing priority definition parameters– QoS/ CQI/ Location/ Speed
• Scheduling algorithm• AMS survey
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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
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