Abstract
Conference Title: ICC 2017 - 2017 IEEE International Conference on Communications Conference Start Date: 2017, May 21 Conference End Date: 2017, May 25 Conference Location: Paris, France In this paper, we study the problem of energy minimization for multicasting in cognitive radio networks, using omnidirectional and directional antennas. Our objectives are to build the multicast routing tree and schedule the secondary users' transmissions such that the total energy consumption is minimized. We consider in this paper the energy consumption due to channels switching, and we study the channel switching and scheduling dependency. We model the problem as a MultiLayer Hyper Graph, then we formulate the optimization problem as Mixed Integer Linear Program (MILP). Moreover, we propose a heuristic algorithm to solve our problem in polynomial time. We also show how the primary users, directional antennas, the number of available channels and channel switching time per frequency jumping step affect the total energy consumption. The simulation results shows that our proposed algorithm achieves close performance to the optimal solution.