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

Copyright © 2011, [email protected]

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

Speaker: 劉姿瑾Date: 09/10/2012


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