In this letter, we propose a low-complexity gametheoretic approach for energy-efficient resource allocation in a two-tier heterogeneous network. We measure the energy efficiency (EE) by "Revenue per Cost" in the utility domain considering both power allocation and interference coordination. Since global optimization for maximizing the overall EE is computationally expensive, we transform this nonconvex problem to a two-stage Stackelberg game inspired by fractional programming. We then employ the backward induction method and the Lagrange dual decomposition method to solve this game. An efficient iterative algorithm is designed to achieve Stackelberg equilibrium. Simulation results validate the effectiveness of the proposed approach.Index Terms-Stackelberg game, resource allocation, energy efficiency, heterogeneous networks.
In this paper, we propose a game-theoretical approach for energy-efficient resource allocation and interference coordination in heterogeneous networks (HetNets). Considering the joint interaction of cross-tier interference and energy consumption in a two-tier HetNet consisting of one central macro and N picos, we develop the system model and measure the energy efficiency (EE) by utility. Since global optimization of the HetNet EE is intractable and computationally expensive, we formulate the optimization problems for macro and picos respectively as a two-stage Stackelberg game. Then we employ a backward induction method to solve this game model and analyze the method complexity. Simulation results verify the performance of the proposed approach and it can be easily implemented in a distributed manner in practical HetNets.
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