We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byIgnacio Isaacs
Modified about 1 year ago
Copyright © 2011, Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution Speaker: 劉姿瑾 Date: 09/10/2012 1
Copyright © 2011, Outline Introduction Background Issue Related works Scenario Solution Idea References 2
Copyright © 2011, 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
Copyright © 2011, 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 4
Copyright © 2011, Background M2M Architecture 5
Copyright © 2011, 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 6
Copyright © 2011, Related Works  Nikaein et al.  Zheng et al.  Tania et al.  Corici et al. Proposed TypeAnalysisMechanism ObjectiveLatency reductio n Spectru m efficiency Spectrum efficiency + Latency reduction Bearer efficiency Spectrum efficiency + QoS provided Performance metric Latency Budget CDFOutage probability N/A DomainEUTRA N+EPC EUTRANEPCEUTRAN Cross LayerN/A X; Only CQIN/ACQI + MIMO Heterogeneou s Network N/AO O Real timeOOON/AO 7
Copyright © 2011, 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 8
Copyright © 2011, 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 9
Copyright © 2011, 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) 10
Copyright © 2011, Scenario 11
Copyright © 2011, Solution Idea Transmission MIMO Scheme Resource Allocation Priority Decision QoSCQILocationMobility Received Data M2M Service QoS Criteria Definition Data TypeDevice Capability 12
Copyright © 2011, Parameters Definitions ParametersNotations Number of Vehicles Number of Vehicle Capabilities Vehicle Capability Weights of Vehicle Capabilities Vehicle Type QoS Level Location Speed CQI 13
Copyright © 2011, QoS Criteria Definition QoS Parameters - –Vehicle Capability –Type 14 Vehicle Capability LTE Adapter GPS Video Transceiver Collision Warning System MIMO Support Vehicle Type Police/ Ambulance/ Fire Truck Public transportation Others
Copyright © 2011, 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
Copyright © 2011, MIMO Scheme MIMO AMS - Adaptive MIMO Switching 16
Copyright © 2011, Future Works Formalizing priority definition parameters –QoS/ CQI/ Location/ Speed Scheduling algorithm AMS survey 17
Copyright © 2011, References  Latency for Real-time Machine-to-Machine Communication in LTE-Based System Architecture; Nikaein, Navid; Krea, Srdjan; Wireless Conference Sustainable Wireless Technologies (European Wireless), 11th European  Radio Resource Allocation in LTE-Advanced Celluler Networks with M2M Communications; Kan Zheng; Fanglong Hu; Wenbo Wang; Wei Xiang; Dohler, M.; Communications Magazine, IEEE  Adaptive Modulation and Coding with Hybrid-ARQ for Latency-constrained Networks; Villa, Tania; Merz, Ruben; Knopp, Raymond; Takyar, Uday; European Wireless, EW. 18th European Wireless Conference  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 18
ECSE 6592 Wireless Ad Hoc and Sensor Networks Spatial Diversity in Wireless Networks Hsin-Yi Shen Nov 3, 2005.
Chapter X: Towards Energy Efficiency in Next Generation Green Mobile Networks: a Queueing Theory Approach Glaucio H. S. Carvalho 1, Isaac Woungang 2 and.
EE360: Lecture 12 Outline Ad-Hoc Network Optimization and Analysis, Cognitive Radios Announcements HW 1 due today Progress reports due Feb. 24 Network.
Long Term Evolution LTE Long Term Evolution LTE Sanjeev Banzal Telecom Regulatory Authority of India Sanjeev Banzal Telecom Regulatory.
Evolution road of 3GPP-LTE Huawei Technology Co., LTD DOCUMENT #:GSC13-PLEN-41 FOR:Presentation SOURCE:Huawei Technologies Co., Ltd AGENDA ITEM:Plenary;
FemtoCell Uday Sankar.V Research Scholar, Performance Analysis Lab, IISc,Bangalore.
Performance Analysis of LTE-Advanced Relay Node in Public Safety Communication M.Sc. Inam Ullah Supervisor: Prof. Jyri Hämäläinen Aalto University School.
Roma 17/10/08 WORLD Project KO Meeting Laura Galluccio WORLD Project – KO Meeting University of Catania.
Wireless Systems: Where are we heading?. 2 Outline Some definitions Current situation Near Future 4G: what we really want What are the obstacles Higher.
Centre for Communications Research Scheduling Techniques for Improving Call Capacity for VoIP Traffic in MIMO-OFDMA Networks M. Nicolaou, S. Armour, A.
Chapter 20 Power Management for 4G Mobile Broadband Wireless Access Networks Maruti Gupta, Ali T. Koc, Rath Vannithamby Intel Labs, Intel Corporation.
Expanding LTE for Devices European Commission Information Society and Media The aim of EXATED is to realise the vision of a new scalable.
ISEM 3410 Telecommunications and Networking Group Chan Chun Yin Choi Man Hei Wong Wai Mei MOBILE NETWORKING SYSTEM.
1 Downlink link adaptation scheme for IEEE m Document Number: C80216m-08/742 Date Submitted: Source: Shanshan Zheng
1 IEEE MEDIA INDEPENDENT HANDOVER DCN: Multi-Radio-Paging Title: Multi-Radio Paging Study Group Request Date Submitted: March,
MESA - Mobile Broadband Project for Emergency and Safety Applications. Project Related Research Adrian Boukalov.
Fang-Jing Wua, Yu-Fen Kaob, Yu-Chee Tsenga, a. Department of Computer Science, National Chiao Tung University, Hsinchu, 30010, Taiwan b. Department of.
Mobile Communications: Long Term Evolution Part 1 Motivation for LTE Evolution of the standards Requirements and targets Competing standards Frequency.
UMTS and Beyond Prof. Hamid Aghvami Centre for Telecommunications Research - Kings College London Wireless Multimedia Communications Ltd.
On Scheduling of Data Dissemination in Vehicular Networks with Mesh Backhaul Liu Zhongyi M.S. Candidate, Peking Univ (To.
Future Wireless Broadband Networks: Challenges and Possibilities IEEE Presentation Submission Template (Rev. 9) Document Number: IEEE C /0009.
Copyright © signal Solutions, Inc. Wi-Fi / WLAN Performance Management and Optimization Veli-Pekka Ketonen CTO, 7signal Solutions.
Today and Tomorrow 12 th Edition Understanding Computers Chapter 7: Computer Networks.
Improving Wireless Access Technologies Adam Wolisz Professor of EE&CS, Technische Universität Berlin, TKN Adjunct Professor, EE&CS Dept, UC Berkeley, BWRC.
Cognitive Radio Communications and Networks: Principles and Practice By A. M. Wyglinski, M. Nekovee, Y. T. Hou (Elsevier, December 2009) 1 Chapter 5 Spectrum.
Korea Advanced Institute of Science and Technology Network Systems Lab. Wireless Communications: The Future Professor Song Chong Network Systems Laboratory.
Video over Wireless Sowjanya Talasila. Topics for discussion Introduction Issues and solution Challenges Future work Conclusion References.
Bhabani P. Sinha Advanced Computing and Microelectronics Unit Indian Statistical Institute, Calcutta Mobile and Sensor Networks.
Wireless Networks. Presentation Outline Wireless Technology overview The IEEE WLAN Standards Securing Wireless LANs.
APNOMS02, Jeju, Korea1 QoS Control in the Internet Raouf Boutaba QoS Control in the Internet Raouf Boutaba School of Computer Science University of Waterloo.
© 2016 SlidePlayer.com Inc. All rights reserved.