https://scholars.lib.ntu.edu.tw/handle/123456789/388678
標題: | Capacity Maximization of Energy-Harvesting Small Cells with Dynamic Sleep Mode Operation in Heterogeneous Networks | 作者: | Chen-YiChang Kun-Lin Ho Wanjiun Liao Da-Shan Shih WANJIUN LIAO |
關鍵字: | energy harvesting; HetNets; power-saving BS; resource allocation; sleep mechanism; sleep-awake scheduling | 公開日期: | 六月-2014 | 起(迄)頁: | 2690-2694 | 來源出版物: | IEEE ICC 2014 | 摘要: | In this paper, we investigate how to utilize renewable energy harvested by small cells to increase network capacity. Specifically, we try to maximize the average capacity of a small cell with the harvested energy from the environments (e.g., solar and wind) with constraints on energy causality and battery capacity. With the coverage preserved by the umbrella cells, we investigate the potential of capacity improvement by dynamic on-off operations of small cells. We propose a heuristic polynomial-time near-optimal algorithm for joint power control and sleep-awake scheduling of this mixed-integer optimization problem. The capacity obtained by the proposed heuristic algorithm can approach the maximal capacity as long as the small cell can be equipped with a battery with large enough capacity. In the simulations, we demonstrate that our proposed algorithm can increase system capacity by 25%. We find that always attempting to keep a small cell in active state may not be always a good strategy for capacity maximization even when the optimal transmit power allocation is applied. © 2014 IEEE. |
URI: | http://scholars.lib.ntu.edu.tw/handle/123456789/388678 | DOI: | 10.1109/ICC.2014.6883730 | SDG/關鍵字: | Electric batteries; Energy harvesting; Heterogeneous networks; Heuristic algorithms; Integer programming; Resource allocation; Scheduling; Sleep research; Capacity improvement; Hetnets; Joint power control; Mixed integer optimization; Near-optimal algorithms; Power-saving; Sleep mode operations; Transmit power allocation; Optimization |
顯示於: | 電機工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。