Particle Swarm Optimization based Power Control Algorithms for SWIPT-Assisted D2D Communications Underlaying Cellular Networks

Abstract

We studied power control algorithms for SWIPT-assisted D2D communications underlaying cellular networks in this paper. The particle swarm optimization (PSO) based power control algorithm is put forward to mitigate the interference and enhance the sum throughput of D2D networks. In order to avoid falling into the local optimum, we combined simulated annealing with particle swarm optimization(SA-PSO) to improve performance of the algorithm. The main idea is to allocate proper transmitting powers to D2D links while maximizing the total throughput. Unlike other related works, the transmitting power and the power splitting ratio are both optimized in this paper. Simulation results demonstrate our algorithms are conductive to boosting the total throughput of D2D networks. The PSO and SA-PSO based algorithms outperform the game-theory based algorithm in terms of the sum throughput of D2D networks.

Interference Management Based on Meta-Heuristic Algorithms in 5G Device-to-Device Communications

“…Their simulation results highlight GA's superiority over PSO for this specific issue. Xia et al [22] suggested a hybrid approach combining the Simulated Annealing algorithm with PSO to avoid local optima in power control problems. The study in [23] focuses on optimizing resource efficiency in D2D communication by introducing a sharing optimization algorithm based on PSO.…”

An Efficient Game Theory-Based Power Control Algorithm for D2D Communication in 5G Networks

“…The power control algorithms in [1][2][3][4] resulting from the theoretical game approach are decentralized, in which each device selects its power from a power transmitting strategy through a non-cooperative scheme. The power control algorithm for D2D communications plays an essential role in minimizing power consumption while saving energy in wireless network communication.…”