Research On Power Control Techniques Based On Game Theory For Broadband Wireless Network

With the development of information technology, wireless network becomes more and more important in people’s life. The data generated by wireless network explodes in recent years. Under densely deployment scenario, with the increase of users, the interference imposed on each other becomes higher and higher and the competition among users becomes heavier. Power control technique can lower the interference and improve the throughput of the whole network, save the energy. In the broadband wireless network of new type, distributed algorithm with self-adaption may work better than others. Game theory can describe the properties of users’actions well and becomes a effective analysis tool. This paper focus on two types of typical broadband wireless network:femtocell network and wireless sensor network. Two distributed algorithms based on non-cooperative game theory have been proposed and evaluated.This paper first researches the development of power control techniques in wireless networks. Then, the use of game theory in wireless network has been concluded. After the analysis of evolution tendency, the new requirement of power control technique is proposed. The interference problem in femtocell-deployed LTE-A network has been discussed. The problem has been formulated by a Stackelberg game, where the central MBS is formulated as the leader who sells power quota to the FBSs which are considered as followers. The Stackelberg Equilibrium (SE) is studied and a Distributed Non-uniform Pricing (DNP) scheme where femtocells are self-organized is proposed, which needs only a little interactions. The simulation results verify the performances of DNP. The energy-efficiency problem in wireless sensor network has been discussed. A non-cooperative game has been proposed to fonnulate the interference problem. The T-MAC protocol has been modified to improve its performance by adjusting transmit power dynamically. The scheme works.