Joint resource allocation and power control based on Bee Life Algorithm for D2D Communication

Device-to-Device (D2D) communications is a convenient technology for future cellular network. This type of communication helps offload network core and increases overall throughput. Among the many challenges facing D2D communication, we are interested in interference management. In order to decrease interferences and improve network throughput, we need to optimize resource allocation and power control for D2D communication. Therefore, we propose in this paper a new Bees Life Algorithm (BLA). This algorithm is considered as a bioinspired approach to optimize channel allocation and power control. BLA is responsible for finding the optimal solution via a diversified global search among all possible solutions. The purpose of all this is to escape a stagnation on local optimal by applying a biological process inspired by the bees' marriage behavior. Additionally, BLA performs an intensified local search to get the optimal solution. We consider a cellular network with a set of users, cellular users and D2D pairs that share resource blocks. A minimum signal to interference plus noise ratio (SINR) is considered for cellular users, and there is no limit to the number of D2D pairs that share the same resource block. The experimental study showed that BLA provides good results in terms of overall throughput after comparison against two other bio-inspired approaches namely Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).