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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | He, P. Lian Zhao Sheng Zhou Zhisheng Niu |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Sheng Zhou; Zhisheng Niu) || Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada (He, P.; Lian Zhao) |
| Abstract | As a preferred choice for supporting green communication, energy harvest makes use of energy from the environment. However, since harvesting energy depends on natural conditions, it is not a stable energy source. As a result, the energy from power grid is often included to serve as a supplementary source to regulate the overall energy supply of the system. The conventional way to solve the optimal power allocation problem is to solve the KKT conditions, and then find the water level(s) and the power allocation solutions. In this paper, we developed a Recursive Geometric Water-Filling algorithm for this Hybrid problem of throughput maximization, so the algorithm is abbreviated as RGWFH. The proposed algorithm avoided complexity of solving the KKT conditions of the problems with multiple variables. For the target problem, the proposed algorithm showed that the harvested energy and the grid power can be optimally allocated by separate steps. Therefore, the proposed algorithm is more efficient and accurate. A numerical example is provided to illustrate the steps of the proposed algorithm. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 211851 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479903085 |
| DOI | 10.1109/WCSP.2013.6677162 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
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