DocumentCode
1774835
Title
Achieving energy diversity with multiple energy harvesting relays
Author
Yaming Luo ; Jun Zhang ; Letaief, Khaled
Author_Institution
ECE Dept., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear
2014
fDate
23-25 Oct. 2014
Firstpage
1
Lastpage
6
Abstract
Energy harvesting (EH) has recently emerged as a promising technology for next-generation green wireless networks, as it can power communication nodes with renewable energy. However, it is challenging to provide satisfactory performance in such systems, due to the sporadic energy arrival and the low harvesting rate. In this paper, we propose a novel cooperation strategy for EH networks with the help of multiple EH relays, each of a steady but low harvesting rate. Different relays will take turns to assist the source-destination transmission, and thus energy diversity can be achieved. To provide steady communications, we formulate the design problem as to maximize the minimum utility during the considered transmission duration, which, however, is NP-hard. We propose a general framework to develop efficient suboptimal algorithms, which consists of 1) a sufficient condition for the feasibility of the optimization problem and 2) an efficient bisection algorithm to find a suboptimal solution. Simulation results will show that the proposed cooperation strategy can provide significant power gains over the direct link transmission, and the proposed suboptimal algorithm can provide near-optimal performance. Compared to the best-effort cooperation that only optimizes the current transmission block, the proposed strategy can achieve the same performance with much fewer relays.
Keywords
cooperative communication; diversity reception; energy harvesting; next generation networks; optimisation; radio links; relay networks (telecommunication); telecommunication power management; EH relay network; NP-hard problem; bisection algorithm; cooperation strategy; direct link transmission; energy diversity; energy harvesting relay; next generation green wireless network; optimization problem; power gain; source-destination transmission; suboptimal algorithm; sufficient condition; Batteries; Couplings; Joints; Relays; Signal processing algorithms; Vectors; Wireless communication; Energy harvesting; cooperative communications; power assignment; relay selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
Conference_Location
Hefei
Type
conf
DOI
10.1109/WCSP.2014.6992051
Filename
6992051
Link To Document