Distributed beamforming algorithm based on game theory in device-to-device communications

Xian-zhong Xie, Chuan-wen Li, Shuang-guo Cheng, He-lin Yang and Shu Tang

International Journal of Distributed Sensor Networks, 2018, vol. 14, issue 8, 1550147718786929

Abstract: In the device-to-device communication network, there is the interference problem when device-to-device users share the same spectrum with cellular users, a distributed beamforming scheme based on non-cooperative game is proposed to maximize weighted sum rate under the rated transmit power and the users’ quality of service. Since the optimization problem is non-concave, we first obtain the solution of the Karush-Kuhn-Tucher (KKT) condition for the downlink beamforming problem of each sender by dual decomposition. Second, a distributed beamforming algorithm based on the non-cooperative game is proposed, which can quickly converge to the Nash equilibrium point with a lower information exchange overhead. Finally, the simulation results show that the proposed algorithm has better performance in terms of system sum rate and fairness than the existing algorithms.

Keywords: Device-to-device communication; non-cooperative game; beamforming; weighted sum rate; fairness (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:14:y:2018:i:8:p:1550147718786929

DOI: 10.1177/1550147718786929

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