  Mobile edge computing (MEC) networks are one of the key technologies for
ultra-reliability and low-latency communications. The computing resource
allocation solution needs to be carefully designed to guarantee the computing
resource efficiency of MEC networks. Based on the potential game theory, a
computing resource allocation solution is proposed to reduce energy consumption
and improve computing resource efficiency in MEC networks. The computing
resource allocation solution includes two parts: the first part is the power
control scheme based on the potential game theory and the second part is the
computing resource allocation scheme based on linear programming. The power
control scheme is to find a set of the transmission powers of base stations
(BSs) that maximizes the potential function of MEC networks. The computing
resource allocation scheme is to maximize the average computing resource
allocation coefficient of the MEC networks based on the results of the power
control scheme. Compared with traditional solutions, simulation results
indicate the computing resource utilization and energy efficiency of the
proposed computing resource allocation solution are significantly improved.
