Abstract
Femtocell network is an effective technique to improve spectrum utilization and indoor coverage. How to allocate users power while keeping acceptable performance under dynamic environment is still a challenge in practice. In this article, we study the problem of energy efficiency in a two-tier network. The objective of the article is to maximize energy efficiency for the two-tier femtocell network with the consideration of uncertain channels. The complex and dynamic communication environment will lead to the imperfect channel state information. In order to enhance the robustness of the two-tier network, we consider the imperfect channel state information of interference links in block-fading channels using probability constraints. We propose a novel scheme to derive optimal energy efficiency by transforming probability constraints into indicator function. A distributed iterative algorithm is proposed to obtain the optimal power solution. Numerical results illustrate the effectiveness of the proposed power control algorithm.
Highlights
In recent years, spectrum resources become more and more scarce
Since femtocells share the licensed spectrum with macrocells, cross-tier interference may seriously degrade the performance of two-tier network
We propose power control strategy to maximize the energy efficiency of the two-tier femtocell networks based on the block-fading channels
Summary
Spectrum resources become more and more scarce. At the same time, the performance of indoor network coverage is not satisfactory. It is noted that most existing results analyze the problem of power optimization for the two-tier femtocell networks.[10,11] Among them, utilizing the thought of energy efficiency to mitigate interference is a good choice with considering the uncertainties of channel gains When it comes to maximizing the network’s efficiency, protecting the primary’s uplink communication is always neglected.[12] In recent years, energy-efficient problems for femtocell networks have stirred considerable research attention in both industry and academia.[13,14] In Hasan et al.,[15] a risk-return model, as a performance metric, has been proposed for power allocation of energy-efficient system in multi-carrier systems. Numerical results evaluate the performance of power control scheme in section ‘‘Proposed power control scheme.’’ last section gives the conclusion
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