Adaptive Resource Allocation in Multiuser OFDM Systems

Slides:



Advertisements
Similar presentations
Adaptive power & SUBCARRIER allocation algorithm to support absolute proportional rates constraint for scalable MULTIUSER MIMO OFDM systems Presented By:
Advertisements

VSMC MIMO: A Spectral Efficient Scheme for Cooperative Relay in Cognitive Radio Networks 1.
Prakshep Mehta ( ) Guided By: Prof. R.K. Shevgaonkar
Capacity of Wireless Channels
22 nd September 2008 | Tariciso F. Maciel Suboptimal Resource Allocation for Multi-User MIMO-OFDMA Systems Tarcisio F. Maciel Darmstadt, 22 nd September.
HKUST Robust Optimal Cross Layer Designs for TDD- OFDMA Systems with Imperfect CSIT and Unknown Interference — State-Space Approach based on 1-bit.
IERG 4100 Wireless Communications
Three Lessons Learned Never discard information prematurely Compression can be separated from channel transmission with no loss of optimality Gaussian.
EE360: Lecture 9 Outline Multiuser OFDM Announcements: Project abstract due next Friday Multiuser OFDM Adaptive Techniques “OFDM with adaptive subcarrier,
Modeling OFDM Radio Channel Sachin Adlakha EE206A Spring 2001.
M. Stemick, S. Olonbayar, H. Rohling Hamburg University of Technology Institute of Telecommunications PHY-Mode Selection and Multi User Diversity in OFDM.
EE360: Lecture 7 Outline Adaptive CDMA Techniques Introduction CDMA with power control Adaptive techniques for interference reduction Rate and power adaptation.
Multiuser OFDM with Adaptive Subcarrier, Bit, and Power Allocation Wong, et al, JSAC, Oct
Doc.: IEEE /1227r3 SubmissionSlide 1 OFDMA Performance Analysis Date: Authors: Tianyu Wu etc. MediaTek Sept 2014 NameAffiliationsAddressPhone .
Receiver Performance for Downlink OFDM with Training Koushik Sil ECE 463: Adaptive Filter Project Presentation.
Muhammad Imadur Rahman1, Klaus Witrisal2,
Seyed Mohamad Alavi, Chi Zhou, Yu Cheng Department of Electrical and Computer Engineering Illinois Institute of Technology, Chicago, IL, USA ICC 2009.
MAXIMIZING SPECTRUM UTILIZATION OF COGNITIVE RADIO NETWORKS USING CHANNEL ALLOCATION AND POWER CONTROL Anh Tuan Hoang and Ying-Chang Liang Vehicular Technology.
Network diversity in broadband wireless system ONR workshop 2003 Hui Liu Department of Electrical Engineering University of Washington.
12. Feb.2010 | Christian Müller Distributed Resource Allocation in OFDMA-Based Relay Networks Christian Müller.
Orthogonal Frequency Division Multiple Access (OFDMA)
1 11 Subcarrier Allocation and Bit Loading Algorithms for OFDMA-Based Wireless Networks Gautam Kulkarni, Sachin Adlakha, Mani Srivastava UCLA IEEE Transactions.
Zukang Shen, Jeffrey Andrews, and Brian Evans
A Game Approach for Cell Selection and Resource Allocation in Heterogeneous Wireless Networks Lin Gao, Xinbing Wang Institute of Wireless Communication.
Performance evaluation of adaptive sub-carrier allocation scheme for OFDMA Thesis presentation16th Jan 2007 Author:Li Xiao Supervisor: Professor Riku Jäntti.
User Cooperation via Rateless Coding Mahyar Shirvanimoghaddam, Yonghui Li, and Branka Vucetic The University of Sydney, Australia IEEE GLOBECOM 2012 &
Low Complexity User Selection Algorithms for Multiuser MIMO Systems with Block Diagonalization Zukang Shen, Runhua Chen, Jeff Andrews, Robert Heath, and.
JWITC 2013Jan. 19, On the Capacity of Distributed Antenna Systems Lin Dai City University of Hong Kong.
Fairness-Aware Cooperative Resource Allocation for Self-Healing in SON-based Indoor System Kisong Lee, Student Member, IEEE, Howon Lee, Associate Member,
EE 6332, Spring, 2014 Wireless Communication Zhu Han Department of Electrical and Computer Engineering Class 11 Feb. 19 th, 2014.
Space-Time and Space-Frequency Coded Orthogonal Frequency Division Multiplexing Transmitter Diversity Techniques King F. Lee.
Advanced Spectrum Management in Multicell OFDMA Networks enabling Cognitive Radio Usage F. Bernardo, J. Pérez-Romero, O. Sallent, R. Agustí Radio Communications.
Multiuser OFDM with Adaptive Subcarrier, Bit and Power Allocation (IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 17, NO. 10, OCTOBER 1999)
Adaptive Resource Allocation for OFDMA Systems Mr. Zukang Shen Mr. Ian Wong Prof. Brian Evans Prof. Jeff Andrews April 28, 2005.
Transmit Power Adaptation for Multiuser OFDM Systems Jiho Jang, Student Member, IEEE, and Kwang Bok Lee, Member, IEEE IEEE JOURNAL ON SELECTED AREAS IN.
Motivation Wireless Communication Environment Noise Multipath (ISI!) Demands Multimedia applications  High rate Data communication  Reliability.
An Efficient Subcarrier and Power Allocation Algorithm for Dual-Service Provisioning in OFDMA Based WiBro Systems February 1, 2005 Mohmmad Anas, Kanghee.
Wireless Multiple Access Schemes in a Class of Frequency Selective Channels with Uncertain Channel State Information Christopher Steger February 2, 2004.
Lagrange and Water Filling algorithm Speaker : Kuan-Chou Lee Date : 2012/8/20.
5: Capacity of Wireless Channels Fundamentals of Wireless Communication, Tse&Viswanath 1 5. Capacity of Wireless Channels.
Abstract: In many scenarios, wireless presents a tempting "last-mile" alternative to a wired connection for the delivery of internet service. However,
April 27, 2007 David Doria OFDM Channel Modeling for WiMAX.
Lecture 2-3: Multi-channel Communication Aliazam Abbasfar.
1 WELCOME Chen. 2 Simulation of MIMO Capacity Limits Professor: Patric Ö sterg å rd Supervisor: Kalle Ruttik Communications Labortory.
Submission doc.: IEEE 11-10/0858r1 July 2014 Josiam et.al., SamsungSlide 1 Analysis on Multiplexing Schemes exploiting frequency selectivity in WLAN Systems.
Water Resources Planning and Management Daene C. McKinney System Performance Indicators.
Self-Organized Resource Allocation in LTE Systems with Weighted Proportional Fairness I-Hong Hou and Chung Shue Chen.
Adaptive radio-frequency resource management for MIMO MC-CDMA on antenna selection Jingxu Han and Mqhele E Dlodlo Department of Electrical Engineering.
Uplink scheduling in LTE Presented by Eng. Hany El-Ghaish Under supervision of Prof. Amany Sarhan Dr. Nada Elshnawy Presented by Eng. Hany El-Ghaish Under.
History-based Adaptive Modulation for a Downlink Multicast Channel in OFDMA systems Haibo Wang, Hans Peter Schwefel and Thomas Skjodeberg Toftegaard Center.
Optimal Sequence Allocation and Multi-rate CDMA Systems Krishna Kiran Mukkavilli, Sridhar Rajagopal, Tarik Muharemovic, Vikram Kanodia.
1 Carrier Frequency Offset Compensation with Successive Cancellation in Uplink OFDMA Systems Tevfik Yucek,Student Member,IEEE,and Huseyin Arslan,Senior.
Space Time Codes.
Video scheduling algorithm
Jinseok Choi, Brian L. Evans and *Alan Gatherer
Sanam Sadr, Alagan Anpalagan and Kaamran Raahemifar
Syed Hussain Ali, Member, IEEE Victor C. M. Leung, Fellow, IEEE
Space Time Coding and Channel Estimation
Howard Huang, Sivarama Venkatesan, and Harish Viswanathan
Optimal Sequence Allocation and Multi-rate CDMA Systems
Scheduling in Wireless Communication Systems
EE360: Lecture 13 Outline Adaptive Techniques for Cellular
Ian C. Wong, Zukang Shen, Jeffrey G. Andrews, and Brian L. Evans
QoS Aware Adaptive Subcarrier Allocation in OFDMA Systems
Master Thesis Presentation
Presented By Riaz (STD ID: )
Ian C. Wong and Brian L. Evans ICASSP 2007 Honolulu, Hawaii
Ian C. Wong and Brian L. Evans ICASSP 2007 Honolulu, Hawaii
Adaptive Resource Allocation in Multiuser OFDM Systems
Chrysostomos Koutsimanis and G´abor Fodor
Presentation transcript:

Adaptive Resource Allocation in Multiuser OFDM Systems Malik Meherali Saleh EE 381-14 March 08, 2005

Introduction/Background 4G cellular system proposes hybrid of Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) OFDM eliminates Intersymbol Interference TDMA/FDMA solutions for Multiuser OFDM Fixed allocation of subcarriers Multiuser Environment Creates channel diversity Assign users high gain subcarriers Motivation : Adaptive Multiuser OFDM systems

Key Paper #1 [Wong, Cheng, Letaief and Murch, 1999] Optimal: Minimize total transmit power Perfect Channel knowledge assumed Assumes fixed data rate for users Adaptive assignment of subcarriers, bits and power level to each user. Suboptimal solution Subcarrier allocation Single user bit allocation is applied to the assigned subcarrier for each user

Key Paper #2 [Jang and Lee, 2003] Fixes total transmit power and maximizes sum capacity Applies Subcarrier allocation first Follows it up by transmit power allocation Provides 2 methods for power allocation Water filling policy Equal distribution Results show total data rate increases with increase in users

Key Paper #3 [Shen, Andrews and Evans, (Draft) 2004] Focus on Quality of Service parameter Power constraint with adaptive rate Maintains proportional rates between users Predetermined ratios, variable fairness index Reduce computation complexity by suboptimal algorithm Subcarrier allocation Maximizing sum capacity with Power allocation Both blocks include proportional values Maintain proportional rates among users for EACH channel realization. Explicitly control the capacity ratios among users, each user meets his target data rate Ratios are predetermined and fairness measures the fraction of capacity, 1 meaning all users have same ratios/capacity Like 1 and 2 the system is broken up into two blocks, the only difference is that the subcarrier allocation takes into account the proportional fairness, different from the first two The second block consists of power allocation over the predetermined subcarriers with proportional fairness

What I propose to do I propose to study Paper 2 and 3 in detail and simulate them with controlled parameters and compare them on BER/signal quality, sum capacity, the number of users, average channel power per user. Simulation files I plan to use the simulation files provided for Paper 3 at http://www.ece.utexas.edu/~bevans/projects/ofdm For Paper 1, I hope to get in touch with the authors for the simulation code I will also compare sum capacity of Paper 2 & 3 to TDMA/FDMA approach in Multiuser OFDM