Wireless coexistence: Pareto optimality

A network coexistence methodology is investigated for robust coexistence of an arbitrary set of non-collaborative networks. It is shown that maximizing the energy efficiency of each node is the key to the capacity maximization for the coexisting networks. Unlike existing pairwise coexisting schemes, a two level distributed algorithm is proposed without resorting to any knowledge of the physical layer and MAC layer protocols of interfering networks. The coexistence scheme is formulated as an N-person noncooperative power-controlled coexistence game (NPCG) whose convergence and optimality properties are discussed from a game theory view point. One interesting property of the game is that the Nash equilibrium of the game is on the Pareto frontier, i.e., a social optimal of the distributed networks.