Abstract
Load balancing is an important issue in Heterogeneous Wireless Networks(HWNs).We propose a user-network association algorithm based on population games to solve the problem.Firstly the user-network association is modeled as a population games which satisfies the requirement of potential games relying on the user utility function in access network.By means of replicator dynamics,we demonstrate that evolutionary result eventually converges to Nash Equilibrium.This makes sure each user connecting to a network with the maximum payoff.Moreover,it is proved that the throughput of whole HWNS system can be maximized after reaching Nash Equilibrium,which ensures the efficiency of Nash Equilibrium.Finally,a user-network association algorithm is presented with the principle of replicator dynamics.Simulation shows that Nash Equilibrium point is achieved and the results of theoretical analysis are verified.
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