We propose a transmit power control game, where we assume that distributed access points are rational, i.e., they will determine the transmit power to maximize their own utility functions. The utility function of each AP is defined as the estimated downlink sum-rate minus a linear price function of the transmit power. The existence of the Nash-equilibrium of the proposed game is analyzed. In order to find the optimal price value for efficient transmit power allocation, an iterative search algorithm is also proposed. Simulation results show that the average spectral efficiency of the proposed scheme is better than that of both the equal transmit power allocation and waterfilling-based power allocation.
KSP Keywords
Access point, Average spectral efficiency, Iterative search, Nash Equilibrium, Power control(PC), Search Algorithm(GSA), Spectral efficiency(SE), Sum rate, Transmit power control, cell-free, massive mimo
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