DocumentCode
148911
Title
Liquid cell management for reducing energy consumption expenses in hybrid energy powered cellular networks
Author
Heng Wang ; Hongjia Li ; Xin Chen ; Yifang Qin ; Lei Yang ; Song Ci ; Hui Tang
Author_Institution
Sch. of Commun. Eng., Chongqing Univ., Chongqing, China
fYear
2014
fDate
6-9 April 2014
Firstpage
1632
Lastpage
1637
Abstract
To reduce the fossil energy consumption and the operational expenses, the hybrid energy powered cellular network (HybENet) with BSs powered by on-grid or renewable energy is studied. To minimize the total expenses of energy consumption (EEC) and guarantee the quality of service of HybENet, a liquid cell management algorithm, which adaptively and cooperatively adjusts the service coverage of BSs according to the actual load, is proposed. Specifically, the problem of minimizing the total EEC under constraints of the fluctuating arrivals of the renewable energy and the QoS is formulated as a combinatorial optimization problem. Then, we prove that the problem can be decomposed into two sub-problems: 1) the mean of per-link energy minimization problem, from which the closed expression of power allocation is derived; 2) the traffic block assignment problem, which is solved by ant colony optimization. Simulation results show that the total EEC can be effectively reduced.
Keywords
ant colony optimisation; cellular radio; combinatorial mathematics; energy conservation; energy consumption; fossil fuels; hybrid power systems; power grids; quality of service; renewable energy sources; resource allocation; telecommunication power management; telecommunication traffic; BS; EEC; HybENet; ant colony optimization; base station; combinatorial optimization problem; energy consumption expenses; fossil energy consumption; hybrid energy powered cellular networks; liquid cell management algorithm; per-link energy minimization problem; power allocation; quality of service; renewable energy; service coverage; traffic block assignment problem; Energy consumption; Energy harvesting; Mathematical model; Minimization; Optimization; Renewable energy sources; Solar energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location
Istanbul
Type
conf
DOI
10.1109/WCNC.2014.6952474
Filename
6952474
Link To Document