DocumentCode
77240
Title
Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks
Author
Wei-Cheng Liao ; Mingyi Hong ; Ya-Feng Liu ; Zhi-Quan Luo
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
Volume
62
Issue
15
fYear
2014
fDate
Aug.1, 2014
Firstpage
3939
Lastpage
3952
Abstract
In a densely deployed heterogeneous network (HetNet), the number of pico/micro base stations (BS) can be comparable with the number of the users. To reduce the operational overhead of the HetNet, proper identification of the set of serving BSs becomes an important design issue. In this work, we show that by jointly optimizing the transceivers and determining the active set of BSs, high system resource utilization can be achieved with only a small number of BSs. In particular, we provide formulations and efficient algorithms for such joint optimization problem, under the following two common design criteria: i) minimization of the total power consumption at the BSs, and ii) maximization of the system spectrum efficiency. In both cases, we introduce a nonsmooth regularizer to facilitate the activation of the most appropriate BSs. We illustrate the efficiency and the efficacy of the proposed algorithms via extensive numerical simulations.
Keywords
microcellular radio; optimisation; picocellular radio; radio spectrum management; radio transceivers; telecommunication power management; base station activation; heterogeneous networks; joint optimization problem; linear transceiver design; microbase station; nonsmooth regularizer; optimal resource management; picobase station; system spectrum efficiency maximization; total power consumption minimization; Array signal processing; Base stations; Interference; Joints; Quality of service; Signal processing algorithms; Vectors; Alternating Direction Method of Multipliers (ADMM); LASSO; base station selection/clustering; heterogeneous networks; weighted MMSE algorithm;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2014.2331611
Filename
6847222
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