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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuyi Mao Jun Zhang Letaief, K.B. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of ECE, Hong Kong Univ. of Sci. & Technol., Hong Kong, China (Yuyi Mao; Jun Zhang; Letaief, K.B.) |
| Abstract | This paper addresses the joint base station (BS) assignment and power control problem in a hybrid energy supply wireless network, where an energy harvesting BS and a grid-powered BS coordinate to serve a mobile user. In order to minimize the grid energy consumption while maximizing the number of transmitted data packets, we introduce the total service cost over an N-block frame as the performance metric, which is the weighted sum of the grid energy cost and the packet drop cost. With non-causal side information (SI) available at the BSs, including energy SI and channel SI, a Greedy Assignment algorithm with low complexity and near optimal performance is proposed. For the causal SI setting, the design problem is formulated as a discrete Markov decision problem. Interesting solution structures are derived, which help develop an efficient monotone backward induction algorithm. To further reduce the complexity, a heuristic online policy is also proposed. Simulation results shall validate the effectiveness of the proposed policies and demonstrate a unique tradeoff in such networks, i.e., the tradeoff between the grid energy consumption and the provided quality of service. |
| Starting Page | 1177 |
| Ending Page | 1182 |
| File Size | 257060 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479984060 |
| DOI | 10.1109/WCNC.2015.7127636 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-03-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Silicon Energy consumption Quality of service Genetic algorithms Algorithm design and analysis Complexity theory Fading QoS Green Communications Energy Harvesting Power Control Base Station Assignment |
| Content Type | Text |
| Resource Type | Article |
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