Transmit Power Minimization for Wireless Networks with Energy Harvesting Relays
Yaming Luo, Jun Zhang, and Khaled B. Letaief

TL;DR
This paper proposes a relay-assisted energy harvesting framework for wireless networks, optimizing power and relay selection to minimize source transmit power, achieving near-optimal performance with fewer relays and energy diversity benefits.
Contribution
It introduces a joint power assignment and relay selection framework for EH relays, with a novel feasibility condition that enables efficient sub-optimal algorithms and reduces reliance on non-causal EH information.
Findings
Achieves near-optimal power minimization performance.
Significantly reduces the number of relays needed.
Demonstrates the energy hardening effect and its benefits.
Abstract
Energy harvesting (EH) has recently emerged as a key technology for green communications as it can power wireless networks with renewable energy sources. However, directly replacing the conventional non-EH transmitters by EH nodes will be a challenge. In this paper, we propose to deploy extra EH nodes as relays over an existing non-EH network. Specifically, the considered non-EH network consists of multiple source-destination (S-D) pairs. The deployed EH relays will take turns to assist each S-D pair, and energy diversity can be achieved to combat the low EH rate of each EH relay. To make the best of these EH relays, with the source transmit power minimization as the design objective, we formulate a joint power assignment and relay selection problem, which, however, is NP-hard. We thus propose a general framework to develop efficient sub-optimal algorithms, which is mainly based on a…
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