NDLI: Evaluation of a new adaptive resource management scheme for multiclass wireless and mobile networks

Content Provider	IEEE Xplore Digital Library
Author	Chen, H. Zeng, Q.-A. Agrawal, D.P.
Copyright Year	2004
Description	Author affiliation: Dept. of ECECS, Cincinnati Univ., OH, USA (Chen, H.; Zeng, Q.-A.; Agrawal, D.P.)
Abstract	The cellular networks have experienced impressive growth in recent years. The general trend is that the cellular networks should support multiclass services that have diverse quality of service (QoS) requirements. Due to the intrinsic scarcity of wireless bandwidth, it is crucial to provide QoS guarantees and at the same time achieve high bandwidth utilization. Moreover, since each class of service has distinct characteristics, an inappropriate resource allocation scheme may benefit some classes of services at the expense of others. Hence, another important issue of supporting multiclass services in wireless and mobile networks is to achieve fairness among all classes. The study in this paper aims at accommodating a maximum number of users and providing acceptable QoS to each class without the compromise of fairness. We define a comprehensive set of QoS metrics and develop an analytical model to derive these QoS performance parameters. Extensive simulations verify the correctness of the analytical model and show that the proposed scheme outperforms the existing resource allocation schemes under various traffic scenarios.
Starting Page	2187
Ending Page	2191
File Size	392532
Page Count	5
File Format	PDF
ISBN	0780379543
ISSN	10903038
DOI	10.1109/VETECF.2003.1285917
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Telecommunication traffic Quality of service Bandwidth Analytical models Traffic control Mobile computing Degradation Land mobile radio cellular systems Fluctuations
Content Type	Text
Resource Type	Article

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