Energy efficiency resource allocation for amplify and forward relaying system with energy harvesting

With the vigorous advocacy of green communication, research on energy harvesting technology in mobile communication resource allocation has become increasingly urgent. This paper studies the resource allocation problem of multi-relay energy harvesting systems. To improve the diversity gain of the relay system, an improved three-phase energy harvesting relay protocol is proposed. Complete with established non-convex optimization models and transform them into quasi-convex problems through convex optimization methods. Then, by constructing a nonlinear programming model with optimal energy efficiency, parameters such as energy harvesting time slot allocation, subcarrier pairing, and power allocation are jointly optimized. Finally, the Dinkelbach method and Hungarian algorithm were used to iteratively obtain the optimal solution. The Monte Carlo simulation experiment verified the accuracy and fast convergence of the algorithm.