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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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:
?? mobile wireless communicationsstochastic dsynamic optimisationlocal searchartificial intelligencecontrol and optimizationmanagement science and operations researchsoftwarecomputer networks and communicationsinformation systems ??
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Deposited On:
17 Jul 2019 07:50
Last Modified:
21 Apr 2024 00:39