Cross-layer multiuser resource allocation for video communication over OFDM networks

• Published in: Computer communications Vol. 31; no. 15; pp. 3553 - 3563
• Main Authors: Ha, Hojin, Yim, Changhoon, Kim, Young Yong
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 25.09.2008; Elsevier
• Subjects: Algorithmics. Computability. Computer arithmetics; Applied sciences; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Cross-layer; Exact sciences and technology; Information systems. Data bases; Memory organisation. Data processing; Multiuser orthogonal frequency division multiplex (OFDM) networks; Rate-distortion function; Resource allocation; Software; Theoretical computing; Video communication; Video communication; Cross-layer; Rate-distortion function; Multiuser orthogonal frequency division multiplex (OFDM) networks; Resource allocation; Multiple access; Shadow method; Video signal; Rate distortion theory; Delay system; Communication network; Image quality; Multiple view; Time division multiple access; Data integrity; Algorithm complexity; Orthogonal frequency division multiplexing; Tariffication; Growth of error; Service quality
• ISSN: 0140-3664; 1873-703X
• DOI: 10.1016/j.comcom.2008.05.010

In this paper, we propose a resource allocation algorithm to transmit multiple video bitstreams over multiuser orthogonal frequency division multiplex (OFDM) networks. The proposed algorithm explores a low-complexity rate-distortion function and diversity of multiuser OFDM systems subject to constraints on delay and limited system resources. A set of relative importance is imposed in resource allocation to assure that each user can achieve the required data rate and the quality of service. We first present a simple and effective rate-distortion function including a temporal error propagation effect and relative importance. Then we propose the cross-layer multiuser resource allocation algorithm that consists of subcarrier assignment and power allocation for minimizing the overall video distortion. The proposed subcarrier assignment algorithm utilizes the subgradient method adopting a shadow price mechanism by assuming equal power distribution for each user. Based on the result of subcarrier assignment, the power allocation algorithm maximizes the sum of distortion reduction while the relative importance for each user is maintained. In simulation results, the proposed resource allocation algorithm outperforms the time division multiple access (TDMA) and the previous resource allocation algorithm maximizing the sum capacity in terms of the worst received video quality among users. The proposed algorithm achieves PSNR gain by 1.0 – 3.0 dB , compared to the previous resource allocation algorithm considering rate-distortion function. It is shown that the proposed resource allocation algorithm distributes the video distortion among users more fairly with relative importance compared to the previous algorithms.