Open AccessRobust power control for femtocell networks with imperfect channel state information
Author(s) -
Liu Zhixin,
Zhang Peng,
Guan Xinping,
Li Xinbin,
Yang Hongjiu
Publication year - 2016
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2015.0501
Subject(s) - macrocell , computer science , femtocell , robustness (evolution) , power control , channel state information , channel (broadcasting) , perfect information , mathematical optimization , quality of service , computer network , power (physics) , base station , wireless , telecommunications , mathematics , biochemistry , chemistry , physics , mathematical economics , quantum mechanics , gene
In this study, the authors study the power control for a two‐tier network system which is comprised of a central macrocell and several femtocells. In practice, the communication environment is fairly complex and dynamic which leads to the imperfect channel state information (CSI). To enhance the robustness of the two‐tier network system, the imperfect CSI in both signal links and interference links are considered and the uncertainties of the CSI are uniformly distributed in an ellipsoid uncertainty set. Then, a probability‐constrained optimisation problem is formulated to deal with the uncertainties and protect the quality‐of‐service of all users. A novel method is provided to convert probability constraints into deterministic ones. Based on them, they propose an iterative algorithm and an admission control algorithm to enhance the network efficiency. They also investigate the case when the distributions of the uncertainties of the CSI are unknown. Finally, numerical results are given to illustrate the effectiveness of the authors’ power control scheme.