The aeronautical spectrum band for air-to-ground (A/G) communications is severely underutilized at less than 12.5%, and yet anticipating scarcity in the near future because of the explosive growth in aeronautical service data. Air-to-air (A/A) communications allow aircraft in close proximity to communicate with each other directly without ground stations or satellites, and are regarded as an effective complement for A/G communications in terms of the spectrum utilization efficiency. In this article, to enable such spectral efficiency that A/A links reuse the spectrum of A/G communications, we propose a cognitive solution that A/A communications are regarded as secondary users which sense idle primary A/G communication channels and transmit data on these channels wherever possible. This results in two major issues: spectrum sensing and sharing between A/A and A/G communications. A coalitional manner is devised in which some A/A links are grouped together to perform cooperative spectrum sensing and sharing while an interference graph is used to address the interference that arises from spectrum sharing within a group. We then formulate the cooperative spectrum sensing and sharing into a coalitional graph game played by all the A/A links involved. Finally, a distributed coalitional graph game algorithm is developed to maximize the utility so as to optimize the schedule of the A/A transmissions on the available A/G channels. Extensive simulations show that the achievable sum rate approaches the results of the optimal exhausted searching with relatively low complexity.


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    Title :

    Coalitional Graph Game for Air-to-Air and Air-to-Ground Cognitive Spectrum Sharing


    Contributors:
    Du, Bing (author) / Xue, Rui (author) / Zhao, Liang (author) / Leung, Victor C.M. (author)


    Publication date :

    2020-08-01


    Size :

    2085796 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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