Exploiting the overhearing capabilities of transmitting nodes to increase the energy efficiency in dense networks
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Author(s)
Torrea-Duran, Rodolfo
Rosas, Fernando
Pollin, Sofie
Vandendorpe, Luc
Moonen, Marc
Type
Journal Article
Abstract
The 1000-fold capacity increase envisioned by dense 5G networks results also in a tremendous increase in the energy consumption of the whole network. Utilizing relays in combination with physical-layer network coding (PNC) has been proposed as an energy-efficient solution to this problem by creating several short-distance low-power transmissions and by reducing the transmission time. However, deploying relay nodes can be very costly for dense networks. On the other hand, the proximity of transmitting nodes in dense networks allows the transmitting nodes to serve as relays and retransmit the signals overheard from other transmitting nodes using PNC. This approach has been shown to increase the spectral efficiency, but the impact on energy efficiency has not been studied yet. Therefore, in this paper, we analyze two approaches that exploit the overhearing capabilities of the transmitting nodes in terms of spectral efficiency, energy efficiency, and success rate. We then provide a low-complexity power control strategy that achieves a performance close to the optimal for each approach. We show that when at least one indirect link is stronger than the direct links, exploiting the overhearing capabilities of the transmitting nodes provides the highest performance in both the transmit power-dominated and circuit power-dominated regimes.
Date Issued
2017-11-06
Date Acceptance
2017-10-21
Citation
EURASIP Journal on Wireless Communications and Networking, 2017, 2017 (1)
ISSN
1687-1472
Publisher
Springer
Journal / Book Title
EURASIP Journal on Wireless Communications and Networking
Volume
2017
Issue
1
Copyright Statement
© 2017 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Subjects
0906 Electrical And Electronic Engineering
0806 Information Systems
1005 Communications Technologies
Networking & Telecommunications
Publication Status
Published
Article Number
182
Date Publish Online
2017-11-06