Title
Joint base station activation, user admission control and beamforming in downlink green networks.
Abstract
Consider a multicell downlink network, where the base stations (BSs) in different cells cooperate in the precoder level, while those in the same cell are coordinated for joint processing (JP). To achieve green communication, we optimize the network power consumption under some quality-of-service (QoS) constraints. Different from the conventional approaches based on BS activation and beamforming, we further integrate user admission control into network management, and thus minimize the power consumption by jointly optimizing the active BSs, the admissible users and the transmit beamformers. This strategy has two advantages. First, it ensures that the network still works even when some users cannot achieve the QoS requirements. Second, it helps select a subset of users whose QoS requirements can be satisfied with relatively low power cost, thereby improving the power efficiency. However, this problem is challenging due to the mixed-integer programming. To pursue some efficient approximate solution, we first reformulate it as a convex sparse optimization problem and then develop a distributed algorithm to iteratively solve the problem, utilizing the alternating direction method of multipliers (ADMM). The proposed algorithm has very low complexity since each step can be computed in closed form. Its efficacy and efficiency are demonstrated by numerical simulations.
Year
DOI
Venue
2017
10.1016/j.dsp.2017.06.006
Digital Signal Processing
Keywords
Field
DocType
Green network,Base station activation,User admission control,Beamforming,Alternating direction method of multipliers (ADMM)
Beamforming,Base station,Mathematical optimization,Admission control,Quality of service,Distributed algorithm,Network management,Optimization problem,Mathematics,Telecommunications link
Journal
Volume
ISSN
Citations 
68
1051-2004
0
PageRank 
References 
Authors
0.34
23
5
Name
Order
Citations
PageRank
Jing-Ran Lin1156.66
Ruiming Zhao200.34
Qiang Li352530.90
Huai-Zong Shao45013.46
Wen-Qin Wang536845.93