Abstract
In this letter, we propose a low-complexity game-theoretic 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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
