Research on Multi-Agent D2D Communication Resource Allocation Algorithm Based on A2C

Device to device (D2D) communication technology is the main component of future communication, which greatly improves the utilization of spectrum resources. However, in the D2D subscriber multiplex communication network, the interference between communication links is serious and the system performance is degraded. Traditional resource allocation schemes need a lot of channel information when dealing with interference problems in the system, and have the problems of weak dynamic resource allocation capability and low system throughput. Aiming at this challenge, this paper proposes a multi-agent D2D communication resource allocation algorithm based on Advantage Actor Critic (A2C). First, a multi-D2D cellular communication system model based on A2C Critic is established, then the parameters of the actor network and the critic network in the system are updated, and finally the resource allocation scheme of D2D users is dynamically and adaptively output. The simulation results show that compared with DQN (deep Q-network) and MAAC (multi-agent actor-critic), the average throughput of the system is improved by 26% and 12.5%, respectively.

Automated summary

This paper proposes a multi-agent D2D communication resource allocation algorithm based on Advantage Actor Critic (A2C) to address the interference and performance degradation issues in D2D communication networks. Simulation results show that compared to DQN and MAAC, the average throughput of the system is improved by 26% and 12.5% respectively.