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

Computing Resource Allocation of Mobile Edge Computing Networks Based on Potential Game Theory