Abstract | ||
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In this paper, we propose an iterative algorithm for finding near-optimal Energy Efficient Relay Positions(EERP) in Amplify-and-Forward (AF) and Decode-and-Forward (DF) relay-assisted cellular networks. Each iteration of EERP algorithm contains two steps, i.e. energy efficient cell division and energy efficient center searching. Close-form expressions of energy efficient cell division boundaries are provided. And two-dimensional Fast Fourier Transform (FFT) is adopted to reduce the complexity of energy efficient center searching. Simulation results show near-optimal relay positions of different pathloss factors, relay scenarios and relay numbers, and demonstrates the effectiveness of EERP. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-642-41773-3_14 | Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering |
Keywords | Field | DocType |
relay position,energy efficiency,green communication | Expression (mathematics),Efficient energy use,Iterative method,Computer science,Algorithm,Fast Fourier transform,Cellular network,Relay,Distributed computing | Conference |
Volume | ISSN | Citations |
121 | 1867-8211 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
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Ming Zhao | 1 | 27 | 5.27 |
Saifeng Ni | 2 | 0 | 0.68 |
Sihai Zhang | 3 | 63 | 19.50 |
Wuyang Zhou | 4 | 226 | 47.51 |