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Stochastic Multi-Player Multi-Armed Bandits with Multiple Plays for Uncoordinated Spectrum Access

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Abstract

In this paper, an algorithm based on the multi-player multi-armed bandit (MAB) framework is proposed to solve an uncoordinated spectrum access problem. The proposed technique does not require any communication or coordination between users. The case of varying channel rewards across users is considered. In contrast to previous work, the users are permitted to choose multiple channels for transmission, resulting in a MAB model with multiple plays. The proposed algorithm has an expected regret of the order O(log 2 T), which is validated by simulation results. Index Terms-uncoordinated spectrum access, multi-armed bandits with multiple plays, varying reward distribution.
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Dates and versions

hal-02901667 , version 1 (17-07-2020)

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Cite

Marie-Josépha Youssef, Venugopal V. Veeravalli, Joumana Farah, Charbel Abdel Nour. Stochastic Multi-Player Multi-Armed Bandits with Multiple Plays for Uncoordinated Spectrum Access. PIMRC 2020: IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Aug 2020, London, United Kingdom. ⟨10.1109/PIMRC48278.2020.9217349⟩. ⟨hal-02901667⟩
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