Network-assisted resource management for wireless data networks Xiaoxin Qiu Kapli Chawla Justin C.-I. Chuang Nelson Sollenberger July, 2001 IEEE Journal.

Slides:



Advertisements
Similar presentations
$ Network Support for Wireless Connectivity in the TV Bands Victor Bahl Ranveer Chandra Thomas Moscibroda Srihari Narlanka Yunnan Wu Yuan.
Advertisements

1 Adaptive Bandwidth Allocation in TDD-CDMA Systems Derek J Corbett & Prof. David Everitt The University of Sydney.
Optimization of Radio resources Krishna Chaitanya Kokatla.
Doc.: IEEE xxxxx Submission doc. : IEEE wng0 Slide 1 Project: IEEE P Working Group for Wireless Personal Area Networks.
Shi Bai, Weiyi Zhang, Guoliang Xue, Jian Tang, and Chonggang Wang University of Minnesota, AT&T Lab, Arizona State University, Syracuse University, NEC.
A Centralized Scheduling Algorithm based on Multi-path Routing in WiMax Mesh Network Yang Cao, Zhimin Liu and Yi Yang International Conference on Wireless.
Scheduling in Wireless Systems. 2 CDMA2000: Overall Architecture Mobile Station.
Min Song 1, Yanxiao Zhao 1, Jun Wang 1, E. K. Park 2 1 Old Dominion University, USA 2 University of Missouri at Kansas City, USA IEEE ICC 2009 A High Throughput.
Maximum Battery Life Routing to Support Ubiquitous Mobile Computing in Wireless Ad Hoc Networks By C. K. Toh.
May 4, Mobile Computing COE 446 Network Planning Tarek Sheltami KFUPM CCSE COE Principles of Wireless.
EXPLORING POWER SAVING IN VOIP WIRELESS LINKS BY BHANUREDDY BATTAPURAM AND SRINIVAS MADLAPELLI.
2005/12/06OPLAB, Dept. of IM, NTU1 Optimizing the ARQ Performance in Downlink Packet Data Systems With Scheduling Haitao Zheng, Member, IEEE Harish Viswanathan,
1 Distributed Control Algorithms for Service Differentiation in Wireless Packet Networks INFOCOM 2001 Michael Barry, Andrew T. Campbell Andras Veres.
Pricing and Power Control in a Multicell Wireless Data Network Po Yu Chen October, 2001 IEEE Journal on Select Areas in Communications.
Madhavi W. SubbaraoWCTG - NIST Dynamic Power-Conscious Routing for Mobile Ad-Hoc Networks Madhavi W. Subbarao Wireless Communications Technology Group.
Michael Einhaus, ComNets, RWTH Aachen University Dynamic Resource Allocation in OFDMA Systems Michael Einhaus Chair of Communication Networks RWTH Aachen.
A Quality-Driven Decision Engine for Live Video Transmission under Service-Oriented Architecture DALEI WU, SONG CI, HAIYAN LUO, UNIVERSITY OF NEBRASKA-LINCOLN.
A serve flow management strategy for IEEE BWA system in TDD mode Hsin-Hsien Liu
1 在 IEEE 系統上提供 QoS 機 制之研究 Student:Hsin-Hsien Liu Advisor:Ho-Ting Wu Date:
IEEE Std Technique Overview nmgmt.cs.nchu.edu.tw 系統暨網路管理實驗室 Systems & Network Management Lab Reporter :黃文帥 2007/09/18.
12006/11/28 Performance Analysis of Scheduling Algorithms for VoIP Services in IEEE e Systems Advisor: Dr. Kai-Wei Ke Speaker: Jaw-Woei Ma Date:11/28/2006.
1 Algorithms for Bandwidth Efficient Multicast Routing in Multi-channel Multi-radio Wireless Mesh Networks Hoang Lan Nguyen and Uyen Trang Nguyen Presenter:
Opportunistic Transmission Scheduling With Resource-Sharing Constraints in Wireless Networks From IEEE JOURNAL ON SELECTED AREAS IN COMMUNCATIONS Presented.
COGNITIVE RADIO FOR NEXT-GENERATION WIRELESS NETWORKS: AN APPROACH TO OPPORTUNISTIC CHANNEL SELECTION IN IEEE BASED WIRELESS MESH Dusit Niyato,
College of Engineering Resource Management in Wireless Networks Anurag Arepally Major Adviser : Dr. Robert Akl Department of Computer Science and Engineering.
A Comparative Analysis of Spectrum Alternatives for WiMAX Networks with Deployment Scenarios Based on the U.S. 700 MHz Band June 2008 By MWG/AWG.
1 11 Subcarrier Allocation and Bit Loading Algorithms for OFDMA-Based Wireless Networks Gautam Kulkarni, Sachin Adlakha, Mani Srivastava UCLA IEEE Transactions.
Performance Analysis of an innovative scheduling algorithm for OFDMA based IEEE a systems E. Baccarelli, M.Biagi, C.Pelizzoni, N.Cordeschi This work.
Adaptation Techniques in Wireless Packet Data Services Speaker: Chih-Wei Wang Advisor: Li-Chun Wang.
November 4, 2003APOC 2003 Wuhan, China 1/14 Demand Based Bandwidth Assignment MAC Protocol for Wireless LANs Presented by Ruibiao Qiu Department of Computer.
Device-to-Device Communication in Cellular Networks Speaker: Tsung-Han Chiang Date: Feb. 24,
An Energy Efficient MAC Protocol for Wireless LANs Eun-Sun Jung Nitin H. Vaidya IEEE INFCOM 2002 Speaker :王智敏 研二.
1 Interference Aware Medium Access for Dynamic Spectrum Sharing Advisor Advisor : Wei-Yeh Chen Student Student :楊 于 世 Reference G. Auer, H. Haas and P.
Advanced Spectrum Management in Multicell OFDMA Networks enabling Cognitive Radio Usage F. Bernardo, J. Pérez-Romero, O. Sallent, R. Agustí Radio Communications.
QoS-guaranteed Transmission Scheme Selection for OFDMA Multi-hop Cellular Networks Jemin Lee, Sungsoo Park, Hano Wang, and Daesik Hong, ICC 2007.
A Multicast Mechanism in WiMax Mesh Network Jianfeng Chen, Wenhua Jiao, Pin Jiang, Qian Guo Asia-Pacific Conference on Communications, (APCC '06)
Dynamic Data Rate and Transmit Power Adjustment in IEEE Wireless LANs Pierre Chevillat, Jens Jelitto, and Hong Linh Truong IBM Zurich Research Laboratory.
Sunhun Lee and Kwangsue Chung School of Electronics Engineering, Kwangwoon University 22 nd International Conference on Advanced Information Networking.
Hangguan Shan, Member, IEEE, Ho Ting Cheng, Student Member, IEEE, and Weihua Zhuang, Fellow, IEEE Cross-Layer Cooperative MAC Protocol in Distributed Wireless.
Coexistence in heterogeneous networks Discuss the interference issue
Multiple Frequency Reuse Schemes in the Two-hop IEEE j Wireless Relay Networks with Asymmetrical Topology Weiwei Wang a, Zihua Guo b, Jun Cai c,
Energy Efficient Spectrum Allocation for Green Radio in Two-tier Cellular Networks Wenchi Cheng, Hailin Zhang, Liqiang Zhao and Yongzhao Li Global Telecommunications.
Cdma2000 Release C (1xEV-DV) Status and Summary. Outline Cdma2000 1xEV-DV Release C Overview –Design compatibilities –Release C enhancements to cdma2000.
A Multi-Channel Cooperative MIMO MAC Protocol for Wireless Sensor Networks(MCCMIMO) MASS 2010.
Doc.: IEEE /0361r0 Submission Hyun Seo Oh, ETRI March 2008 Slide 1 March 2008 Slide 1 WAVE Enhancement Technologies Date: Authors:
Hard Handoff Scheme Exploiting Uplink and Downlink Signals in IEEE e Systems Sunghyun Cho, Jonghyung Kwun, Chihyun Park, Jung-Hoon Cheon, Ok-Seon.
Bandwidth Balancing in Multi- Channel IEEE Wireless Mesh networks Claudio Cicconetti, Ian F. Akyildiz School of Electrical and Computer Engineering.
Quality of Service Schemes for IEEE Wireless LANs-An Evaluation 主講人 : 黃政偉.
1 A Cross-Layer Scheduling Algorithm With QoS Support in Wireless Networks Qingwen Liu, Student Member, IEEE, Xin Wang, Member, IEEE, and Georgios B. Giannakis,
Doc.: IEEE /032 Submission March 2000 Jamshid Khun-Jush, Ericsson HiperLAN type 2: A System with QoS Support Jamshid Khun-Jush Chairman ETSI Project.
A Bandwidth Scheduling Algorithm Based on Minimum Interference Traffic in Mesh Mode Xu-Yajing, Li-ZhiTao, Zhong-XiuFang and Xu-HuiMin International Conference.
On Exploiting Diversity and Spatial Reuse in Relay-enabled Wireless Networks Karthikeyan Sundaresan, and Sampath Rangarajan Broadband and Mobile Networking,
Algorithms for Routing and Centralized Scheduling in IEEE Mesh Networks Harish Shetiya and Vinod Sharma Department of Electrical Communication Engineering.
Fair and Efficient multihop Scheduling Algorithm for IEEE BWA Systems Daehyon Kim and Aura Ganz International Conference on Broadband Networks 2005.
An Orthogonal Resource Allocation Algorithm to Improve the Performance of OFDMA-based Cellular Wireless Systems using Relays Woonsik Lee, Minh-Viet Nguyen,
SERENA: SchEduling RoutEr Nodes Activity in wireless ad hoc and sensor networks Pascale Minet and Saoucene Mahfoudh INRIA, Rocquencourt Le Chesnay.
ComNets, RWTH Aachen University Relays in CDMA2000 Martha Clavijo Chair of Communication Networks RWTH Aachen University, Germany FFV 2007, ,
Copyright © 2003 OPNET Technologies, Inc. Confidential, not for distribution to third parties. Wireless LANs Session
1 Spectrum Co-existence of IEEE b and a Networks using the CSCC Etiquette Protocol Xiangpeng Jing and Dipankar Raychaudhuri, WINLAB Rutgers.
History-based Adaptive Modulation for a Downlink Multicast Channel in OFDMA systems Haibo Wang, Hans Peter Schwefel and Thomas Skjodeberg Toftegaard Center.
Experimental Evaluation of Co-existent LTE-U and Wi-Fi on ORBIT Problem DefinitionExperimental Procedure Results Observation WINLAB Conclusion Samuel
MBMS in GSM Evolution Systems – A Research Paper Magesh Annamalai – FAU Feeds – Grad Student Sr.Systems Engineer - Location Technology Group T - Mobile.
Michael Einhaus, ComNets, RWTH Aachen University Distributed and Adjacent Subchannels in Cellular OFDMA Systems Michael Einhaus Chair of Communication.
Architecture and Algorithms for an IEEE 802
The Network Beacon Announcement scanning method
Channel Allocation (MAC)
Wireless ATM PRESENTED BY : NIPURBA KONAR.
Analysis and Evaluation of a New MAC Protocol
doc.: IEEE yy/xxxxr0 Date: September, 2019
Presentation transcript:

Network-assisted resource management for wireless data networks Xiaoxin Qiu Kapli Chawla Justin C.-I. Chuang Nelson Sollenberger July, 2001 IEEE Journal on Select Areas in Communications

2 Prolog Next generation Wireless system will provide packet data based service with low cost and high spectrum efficiency So, the efficient radio resource management is important !

3 Outline Introduction Earlier Resource Management Network-Assisted Resource Management NA-LI-DPA and NA-DPA with Max Throughput Simulation Results and Analysis System model Compare with RPA Conclusion

Network-assisted resource management for wireless data networks Introduction

5 Intro. (1/5) FCA (Fixed Channel Assignment) A area is partitioned into a number of cells A number of channels are assign to each cells Can ’ t adapt to traffic conditions and user distribution

6 Intro. (2/5) DCA (Dynamic Channel Assignment) The main idea is to evaluate the cost of using each candidate channel, and select the Min. cost channel Most DCA algorithms are designed efficient for voice Reference from IEEE Personal Communication, June 1996

7 Intro. (3/5) DPA (Dynamic Packet Assignment) Algorithm 1.MS looks to the STRONGEST BS. 2.BS broadcasts destination MS IDs and numbers of packets to be delivered 3.MS scans all DOWNLINK pilots and sends list of acceptable channels to BS 4.BS assigns channels to all packets and broadcasts MS IDs, assigned channels 5.BS delivers packets on the assigned channels and sends pilots.

8 Intro. (4/5)

9 Intro. (5/5) Reference from:IEEE J. Select. Area Commum. Aug 1998

Network-assisted resource management for wireless data networks Network-Assisted Resource Management

11 Network-Assisted Least- interference-based DPA (1/2) Idea : For BS to calculate the SINR Need : channel occupancy and path loss How to calculate SINR : P:power G ii 和 G ji :path loss Q jk :channel occupancy n i :noise

12 Network-Assisted Least- interference-based DPA (2/2) A channel with a MAX SINR is assigned to the user Transmission mode depend on link quality Optional Enhancement with Mode-0 NA-LI-DPA+ In interference-limited wireless data network

13 Network-Assisted DPA with MAX throughput (1/3) Idea : Optimize the overall links Need : channel occupancy and path loss(2) Throughput: T: system throughput A: current resource assignment

14 Network-Assisted DPA with MAX throughput (2/3) Algorithm: 1. 計算現在的 T(A) and A : (resource assignment) 2. 計算 user i 的 Ai ( k ) at channel k Ai =( c i, m i, P) T (調整 m i 後) 3. 計算 T(A ⊕ Ai(k)) 以求出最好的 throughput A i OPT = arg (max Ai ( k ) (T(A ⊕ Ai(k))) 最後的選擇: T(A ⊕ A i OPT )

15 Network-Assisted DPA with MAX throughput (3/3) 判斷式: Reassign an existing user: Ex: To different channel Starting assignment =

Network-assisted resource management for wireless data networks Simulation Results and Analysis

17 System Model Traffic : best-effort data ( downlink ) PHY layer: EGPRS-like frame structure Modulation B-O-QAM (Binary-offset QAM) Q-O-QAM (Quaternary-offset QAM) Link layer:RLC/MAC sub layer ( EGPRS )

18 Transmission Mode

19 Performance Result (1/4) Average user throughput (1/2)

20 Performance Result (2/4) Average user throughput (2/2)

21 Performance Result (3/4) Aggregate throughput per site

22 Performance Result (4/4) Average number of users per site

Network-assisted resource management for wireless data networks Conclusion

24 Conclusion (1/2) FCA 、 DCA 、和 DPA 的介紹 NA-LI-DPA 和 NA-DPA with MAX throughput Idea: 利用 Inter-base signal 來將 resource allocation 的負擔從 air interface or terminal 轉移到 Backbone 和 BS Terminal just calculate path loss SINR 和 channel occupancy 交給 BS

25 Conclusion (2/2) Just for single service ( downlink data ) Advantage: 提升 throughput 和減低 terminal 的負擔 Question: Power control ? Bandwidth for inter-base signal Integrate voice and data ? Does it suitable for another system?