Game Theoretic Approaches For Interference Coordination In Heterogeneous Wireless Networks

With the rapid development and frequent adoption of smart terminals, wirelessdata trafc has been experiencing an explosive expansion in recent years. The rapid-ly increasing demand of data trafc has raised strong impetus on new physical layertransmission technologies and improved network topologies. As a novel type of net-work topology, heterogeneous network can provide users with consistent, high quality,seamlessmobilebroadbandexperience. Ontheotherhand, withtheenlargementofthenetwork scale and dense deployment of diferent types of transmission nodes, interfer-ence between diferent networks or diferent nodes in the same network becomes moreandmoreobvious, andisoneofthemainchallengesinwirelessnetworkswhichrestrictthe system performance.In this thesis, we investigate the interference coordination in heterogeneous wire-less networks using game theoretic approaches. Firstly, we study the cooperative trans-missioninrandominterferencenetwork. Basedonthecoalitionalgametheory, wepro-posetwoalgorithmstodivideallthetransmissionpairsintodiferentdisjointcoalitions,and achieve stable coalition structures. Within the same coalition, diferent transmis-sion pairs can share their data information and channel state information to transmitcooperatively. Among diferent coalitions, transmission pairs compete with each otherand the signals from other coalitions are treated as interference. The simulation resultsshow that the stable coalition structures achieved by the proposed algorithms can sig-nifcantly improve the sum rate and fairness over the non-cooperative scheme and thestatic coalition structures. Secondly, we study the spectrum reuse scheme in heteroge-neous networks using the Stackelberg game theory. We model the two-tier femtocellnetwork as a Stackelberg game, where the macrocell base station acts as a leader and the femtocell base stations are regarded as the followers. We employ backward induc-tion to analyze the optimal spectrum reuse strategies for femtocells and macrocell. TheStackelberg equilibrium strategies can reduce the cross-layer interference and balancethe trafcs between macrocell and femtocells. The simulation results show that theproposed spectrum reuse scheme can signifcantly improve the network performanceand optimize the network resource allocation.