Decentralized dynamic channel allocation in correlated Nakagami fading channels

an order statistics analysis

Maged Elkashlan*, Iain B. Collings, Witold A. Krzymień

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

In many future wireless applications and ad-hoc networks a central processor is not available. It is desirable to adopt distributed methods with minimum processing requirements that can efficiently and fairly allocate resources among multiple users. This paper considers a new fair decentralized multiple access channel allocation scheme. The proposed algorithm employs a semi-random selection mechanism that limits subchannel selection to the highest-gain subchannels. Hence, the analytical foundation for the proposed method is the theory of order statistics. Since by its nature this algorithm is non-iterative, it requires relatively small complexity, channel information overhead, and processing delays. We derive results for the bit error rate (BER) over a set of correlated and not necessarily exchangeable Nak-agami fading subchannels. Numerical results reveal significant system performance improvement over a conventional random allocation approach. The performance of this new algorithm can be close to the highly complex optimal search method.

Original languageEnglish
Title of host publication2008 Australian Communications Theory Workshop
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages125-129
Number of pages5
ISBN (Print)9781424420384
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 Australian Communications Theory Workshop, AusCTW08 - Christchurch, New Zealand
Duration: 30 Jan 20081 Feb 2008

Other

Other2008 Australian Communications Theory Workshop, AusCTW08
CountryNew Zealand
CityChristchurch
Period30/01/081/02/08

Fingerprint Dive into the research topics of 'Decentralized dynamic channel allocation in correlated Nakagami fading channels: an order statistics analysis'. Together they form a unique fingerprint.

Cite this