Proportional degradation services in wireless/mobile adaptive multimedia networks: Research Articles

  • Authors:
  • Yang Xiao;Haizhon Li;C. L. Philip Chen;Bin Wang;Yi Pan

  • Affiliations:
  • Computer Science Division, The University of Memphis, 373 Dunn Hall, Memphis, TN 38152, U.S.A.;Computer Science Division, The University of Memphis, 373 Dunn Hall, Memphis, TN 38152, U.S.A.;Department of Electrical and Computer Engineering, The University of Texas, San Antonio, Texas 78249-0669, U.S.A.;Department of Computer Science and Engineering Wright State University, Dayton, OH 45435, U.S.A.;Department of Computer Science, Georgia State University, Atlanta, GA 30303, U.S.A.

  • Venue:
  • Wireless Communications & Mobile Computing
  • Year:
  • 2005

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Abstract

Adaptive multimedia services are very attractive since resources in wireless/mobile networks are relatively scarce and widely variable, and more importantly the resource fluctuation caused by mobility and channel fading can be mitigated using adaptive services. Therefore, there are extensive research activities on Quality of Service (QoS), call admission control, as well as bandwidth degradation and adaptation for adaptive multimedia services in wireless/mobile networks in recent years. However, fairness of bandwidth degradation has largely been ignored in previous work and remains an important issue in adaptive multimedia service provisioning. In this paper, we propose and study proportional degradation service provisioning in wireless/mobile networks that offer multiple classes of adaptive multimedia services. The proposed proportional degradation fairness model guarantees the proportional bandwidth degradation among different classes of services. Two proportional degradation scenarios are studied in this paper. In the first scenario, we study the proportional degradation provisioning with two QoS parameters for adaptive multimedia: the degradation ratio (DR) and the degradation degree (DD). In the second scenario, we study the proportional degradation provisioning with a new QoS parameter for adaptive multimedia: the degradation area (DA). For each scenario, based on the QoS parameters, proportional degradation adaptation algorithms are proposed to approximate the proportional degradation model, to fairly adapt calls' degradations, to utilize the system resource efficiently, as well as to optimize QoS parameters. Performance studies show that in the first scenario, proportional DR has been achieved very well, whereas proportional DD has not been well achieved. In other words, DR outperforms DD in terms of proportional degradation. In the second scenario, proportional DA has been well achieved. Furthermore, bandwidth resources have been efficiently utilized and DA has been minimized. Copyright © 2004 John Wiley & Sons, Ltd.