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A heuristic for fair dynamic resource allocation in overloaded OFDMA systems

Author

Listed:
  • Adam N. Letchford

    (Lancaster University)

  • Qiang Ni

    (Lancaster University)

  • Zhaoyu Zhong

    (Lancaster University)

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.

Suggested Citation

  • Adam N. Letchford & Qiang Ni & Zhaoyu Zhong, 2020. "A heuristic for fair dynamic resource allocation in overloaded OFDMA systems," Journal of Heuristics, Springer, vol. 26(1), pages 21-32, February.
    • Handle: RePEc:spr:joheur:v:26:y:2020:i:1:d:10.1007_s10732-019-09422-z
    DOI: 10.1007/s10732-019-09422-z
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