Fairness Optimized Channel Allocation for Centralized Underwater Cognitive Acoustic Networks 


Vol. 48,  No. 9, pp. 1102-1113, Sep.  2023
10.7840/kics.2023.48.9.1102


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  Abstract

Underwater cognitive acoustic network (UCAN) technologies are developing in order to efficiently utilize narrow underwater acoustic frequency band while avoiding collisions with several interferers. The underwater acoustic frequency band is an open spectrum where a variety of natural and artificial interferers occur randomly, resulting in asymmetric availability of channels experienced by cognitive users. In this paper, Fairness Optimized Channel Allocation (FOCA) is proposed to optimize the fairness of channel allocation among cognitive users, taking into account the asymmetry of available channels. In FOCA, the way to assign channels into cognitive users is formulated as an Integer Linear Programming (ILP). Via simulations, the performance of FOCA is analyzed and compared with existing heuristic channel allocation methods proposed for UCANs in terms of fairness, the number of allocated channels, collision rate, and drop rate. The simulation results confirm that FOCA is not only fair, but also outperforms heuristic channel allocation methods in terms of the number of allocated channels and drop rate.

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[IEEE Style]

C. Yun, "Fairness Optimized Channel Allocation for Centralized Underwater Cognitive Acoustic Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 9, pp. 1102-1113, 2023. DOI: 10.7840/kics.2023.48.9.1102.

[ACM Style]

Changho Yun. 2023. Fairness Optimized Channel Allocation for Centralized Underwater Cognitive Acoustic Networks. The Journal of Korean Institute of Communications and Information Sciences, 48, 9, (2023), 1102-1113. DOI: 10.7840/kics.2023.48.9.1102.

[KICS Style]

Changho Yun, "Fairness Optimized Channel Allocation for Centralized Underwater Cognitive Acoustic Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 9, pp. 1102-1113, 9. 2023. (https://doi.org/10.7840/kics.2023.48.9.1102)
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