원문정보
초록
영어
In heterogeneous networks, the issue of interference between femtocells and macrocells should be carefully considered. Resource allocation schemes with cognitive technologies have been a key challenge to manage interference. In this paper, we investigate price-based power allocation strategies with the energy efficiency criterion for a spectrum-sharing heterogeneous cognitive network from the aspect of energy efficiency, and provide the utility function of macrocell and femtocells based on a non-cooperative Stackleberg game model. We build a combination of price vector and power allocation values by standard Lagrangian method and propose an improved iteration algorithm based on price updating to obtain the Stackleberg equilibrium solution. The simulation results verify the proposed method can improve energy efficiency and achieve better utility.
목차
1. Introduction
2. System Model
3. Problem Formulation
4. Iterative Algorithm Based On Game Theory
4.1. Energy Efficient Power Allocation and Determination of Price Interference
4.2. Optimized Power Allocation Iteration Algorithm
5. Numerical Results and Discussions
6. Conclusions
References