Earticle

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

Abstract
 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

키워드

저자

• Wang Junliang [ The Communication, Navigation and Command Automation Institution of The Airforce Equipment Academy, Beijing, China ]
• Li Wenjia [ School of Information and Communication Engineering, Harbin Engineering University, Harbin, China ]
• Liu Haitao [ School of Information and Communication Engineering, Harbin Engineering University, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605