A heuristic for fair dynamic resource allocation in over-loaded OFDMA systems

Letchford, Adam and Ni, Qiang and Zhong, Zhaoyu (2020) A heuristic for fair dynamic resource allocation in over-loaded OFDMA systems. Journal of Heuristics, 26 (1). pp. 21-32. ISSN 1381-1231

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Abstract

OFDMA is a popular coding scheme for mobile wireless communications. In OFDMA, one must allocate the available resources (bandwidth and power) dynamically, as user requests arrive and depart in a stochastic manner. Several exact and heuristic methods exist to do this, but they all perform poorly in the “over-loaded” case, in which the user demand is close to or exceeds the system capacity. To address this case, we present a dynamic local search heuristic. A particular feature of our heuristic is that it takes fairness into consideration. Simulations on realistic data show that our heuristic is fast enough to be used in real-time, and consistently delivers allocations of good quality.

Item Type:

Journal Article

Journal or Publication Title:

Journal of Heuristics

Additional Information:

The final publication is available at Springer via http://dx.doi.org/10.1007/s10732-019-09422-z

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/1700/1702

Subjects:

?? mobile wireless communicationsstochastic dsynamic optimisationlocal searchartificial intelligencecontrol and optimizationmanagement science and operations researchsoftwarecomputer networks and communicationsinformation systems ??

Departments:

Lancaster University Management School > Management Science
Faculty of Science and Technology > School of Computing & Communications

ID Code:

135479

Deposited By:

ep_importer_pure

Deposited On:

17 Jul 2019 07:50

Refereed?:

Yes

Published?:

Published

Last Modified:

02 Oct 2024 00:17

URI:

https://eprints.lancs.ac.uk/id/eprint/135479