User Satisfaction Based Resource Allocation Using Artificial Fish Swarm Algorithm for D2D Communication

Abstract

D2D communication can facilitate diverse local services and ease the load of base station. However, traditional resource allocation schemes for D2D communication were simply aiming at maximizing the sum-rate capacity or minimizing the mutual interference of the system but ignoring users satisfaction, which were discussed usually under the premise that the system resource was sufficient for the fixed number of users or restricted in the flexibility of spectral reuse. In the resource constrained system, aiming at maximizing average system satisfaction degree, a more flexible resource allocation scheme based on optimized artificial fish swarm algorithm (USRA-AFSA) is proposed in this paper, in which user satisfaction degree models are established and different D2D links are allowed to coexist on the same subchannel. With solutions mapped onto artificial fish, the simulation results show that the proposed scheme achieves higher average system satisfaction degree and larger system throughput compared with other schemes.