A Scalable Multiuser Framework for Video Over OFDM Networks: Fairness and Efficiency

TitleA Scalable Multiuser Framework for Video Over OFDM Networks: Fairness and Efficiency
Publication TypeJournal Articles
Year of Publication2006
AuthorsSu G-M, Han Z, M. Wu, Liu KJR
JournalCircuits and Systems for Video Technology, IEEE Transactions on
Pagination1217 - 1231
Date Published2006/10//
ISBN Number1051-8215
Keywordsalgorithm;video, codec;video, coding;video, communication;, deviation;downlink, deviation;OFDM, distortion;multidimensional, diversity;multiple, division, end-to-end, framework;time, Frequency, modulation;diversity, multiple, multiplex, multiuser, network;efficiency, networks;video, objectives;optimization, of, OFDM, orthogonal, over, problem;fairness, problem;maximal, problems;quality, programs;multiuser, PSNR, QUALITY, reception;image, resolution;optimisation;quality, scalable, service, service;scalable, service;video, systems;optimal, video

In this paper, we propose a framework to transmit multiple scalable video programs over downlink multiuser orthogonal frequency division multiplex (OFDM) networks in real time. The framework explores the scalability of the video codec and multidimensional diversity of multiuser OFDM systems to achieve the optimal service objectives subject to constraints on delay and limited system resources. We consider two essential service objectives, namely, the fairness and efficiency. Fairness concerns the video quality deviation among users who subscribe the same quality of service, and efficiency relates to how to attain the highest overall video quality using the available system resources. We formulate the fairness problem as minimizing the maximal end-to-end distortion received among all users and the efficiency problem as minimizing total end-to-end distortion of all users. Fast suboptimal algorithms are proposed to solve the above two optimization problems. The simulation results demonstrated that the proposed fairness algorithm outperforms a time division multiple (TDM) algorithm by 0.5 3 dB in terms of the worst received video quality among all users. In addition, the proposed framework can achieve a desired tradeoff between fairness and efficiency. For achieving the same average video quality among all users, the proposed framework can provide fairer video quality with 1 1.8 dB lower PSNR deviation than a TDM algorithm