Energy Efficiency Optimization in MPG DS/CDMA

In this contribution, the heuristic continuous ant colony optimization (ACO) algorithm is deployed to solve the energy-efficiency (EE) optimization problem in multirate multiprocessing gain (MPG) DS/CDMA network. The EE design deal with quasi-concave energy efficiency function, allowing the system to operate in the maximal energy efficiency point. Numerical results considering realistic wireless mobile channels and system operation conditions have been shown the applicability of the ACO heuristic approach in order to solve hard problems (in many cases non-convex optimization problems) with practical interest in obtaining energy-efficient design, which is of great interest to establish the next wireless generation green communication networks. The performance and complexity of the proposed ACOheuristic approach are compared with other two procedures, a heuristic approach based on particle swarm optimization (PSO) and the disciplined convex optimization approach (CvX) tools.