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We investigate distributed frequency allocation problem in dynamic environment of cognitive radio (CR) networks with a stochastic game (SG) model. Traditional multi-agent reinforcement learning (MARL) algorithms, as the primary online strategy learning algorithms of SG game, are not suitable for the application of wireless communication. Hence, a new MARL algorithm, maximizing the average Q function...
In this paper, a best response (BR) based iterative power control algorithm is proposed, which could maximize the total throughput of CN. Our proposed joint beamforming and power control algorithm is implemented by the alternate iteration of MMSE-DFE beamforming and BR based power control, we note it as MMSE-BR. Compared with ZF-CML, MMSE-BR could achieve the optimal throughput performance under any...
This letter introduces a centralized joint power and admission control algorithm for cognitive radio networks. Its novelty lies in the proposed admission metric. Unlike those in existing algorithms, our metric predetermines the admission order of N secondary users which intend to access the network. This allows us to search a group of admitted secondary users with the bisection method. The proposed...
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