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A temporal compressive resource allocation technique for complexity reduction in PLC transceivers
Author(s) -
Colen Guilherme R.,
Schettino Hugo,
Fernandes Diogo,
Sirimarco Lucas M.,
Campos Fabrício P. V.,
Finamore Weiler A.,
Latchman Haniph A.,
Ribeiro Moises V.
Publication year - 2017
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.2951
Subject(s) - computational complexity theory , reduction (mathematics) , computer science , multiplexing , resource allocation , signal (programming language) , orthogonal frequency division multiplexing , resource (disambiguation) , margin (machine learning) , signal to noise ratio (imaging) , noise (video) , electronic engineering , algorithm , real time computing , telecommunications , engineering , computer network , mathematics , artificial intelligence , channel (broadcasting) , geometry , programming language , machine learning , image (mathematics)
This work introduces a novel resource allocation technique for dealing with linear and periodically time‐varying power line channels when an orthogonal frequency division multiplexing scheme is applied. By exploiting the correlations within one cycle of the mains signal, among cycles of mains signal and a combination of these connections, the proposed technique can offer three distinct trade‐offs between computational complexity reduction and data‐rate loss. Numerical results, which are based on measured data, are used to analyse these trade‐offs, when these inter‐cycle and intra‐cycle relationship are taken into account. Also, we verify that the use of the normalised signal‐to‐noise ratio incurs very low performance degradation, and because of computational complexity rationale, its use is strongly recommended. Additionally, we show that those cases, in which the correlations among the cycles of the mains signal is relevant, offer the best trade‐off between computational complexity reduction and data‐rate loss. Finally, we show that the proposed technique can achieve the optimal data‐rate and offers substantial improvements in terms of computational complexity when compared with existing approaches, including the Institute of Electrical and Electronics Engineers 1901 standard. Copyright © 2015 John Wiley & Sons, Ltd.