1 / 17

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.

catori
Télécharger la présentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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

More Related