A new QoS provisioning method for adaptive multimedia in cellular wireless networks

TitleA new QoS provisioning method for adaptive multimedia in cellular wireless networks
Publication TypeConference Paper
Year of Publication2004
AuthorsYu, F., V. W. S. Wong, and V. C. M. Leung
Conference NameINFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies
Pagination2130 -2141 vol.3
Date Publishedmar.
Keywordsadaptive multimedia, bandwidth adaptation algorithm, bandwidth allocation, call admission control algorithm, cellular radio, cellular wireless network, flow control, handoff dropping probability, intraclass fairness, learning (artificial intelligence), multimedia communication, probability, QoS constraint, QoS parameter, QoS provisioning method, quality of service, reward reinforcement learning, telecommunication congestion control, telecommunication traffic, traffic condition, traffic load

Third generation cellular wireless networks are designed to support adaptive multimedia by controlling individual ongoing flows to increase or decrease their bandwidth in response to changes in traffic load There is growing interest in quality of service (QoS) provisioning under this adaptive multimedia framework, in which a bandwidth adaptation algorithm needs to be used in conjunction with the call admission control algorithm. This paper presents a novel method for QoS provisioning via the use of the average reward reinforcement learning, which can maximize the network revenue subject to several predetermined QoS constraints. By considering handoff dropping probability, average allocated bandwidth and intraclass fairness simultaneously, our algorithm formulation guarantees that these QoS parameters are kept within predetermined constraints. Unlike other model-based algorithms, our scheme does not require explicit state transition probabilities and therefore the assumptions behind the underlying system model are more realistic than those in previous schemes. Moreover, by considering the status of neighboring cells, the proposed scheme can dynamically adapt to changes in traffic condition. Simulation results demonstrate the effectiveness of the proposed approach in adaptive multimedia cellular networks


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