research-article

Cooperative Hybrid Wireless-Powerline Channel Transmission for Peer-to-Peer Energy Trading and Sharing System

Authors:

Bamidele Adebisi,

Olamide Jogunola,

Mohammad HammoudehAuthors Info & Claims

ICFNDS '17: Proceedings of the International Conference on Future Networks and Distributed Systems

Article No.: 7

https://doi.org/10.1145/3102304.3102311

Published: 19 July 2017 Publication History

Abstract

The Peer-to-Peer (P2P) energy trading and sharing (ETS) network derives from the conventional smart-grid systems. The smart-grids operate smart meters that may be equipped with both wireless and powerline communication standards. In this study, we extend this communication strategy to a hybrid wireless-powerline communication scheme operating in cooperation and involves transmitting the same information over these two channel infrastructure and combining the received signals using maximal ratio combining (MRC) at the receiver. To maximize the received signal strengths with improved bit error ratio (BER) at the receiver side, we form the characteristic channels into a matrix and use singular value decomposition (SVD) to process the signals. Compared to either zero-forcing (ZF) or minimum mean square error (MMSE) detection scheme, the proposed SVD processing achieves 5dB and 7dB better than ZF and MMSE respectively at 10-5 BER performance when operated with 10-2 impulsive noise probability.

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Cited By

Jogunola OAdebisi BIkpehai APopoola SGui GGacanin HCi S(2021)Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A ReviewIEEE Internet of Things Journal10.1109/JIOT.2020.30321628:6(4211-4227)Online publication date: 15-Mar-2021
https://doi.org/10.1109/JIOT.2020.3032162
Wilkins DChitchyan RLevine MBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Peer-to-Peer Energy Markets: Understanding the Values of Collective and Community TradingProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376135(1-14)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376135
Jogunola OAdebisi BAnoh KIkpehai AHammoudeh MHarris GGacanin H(2018)Distributed Adaptive Primal Algorithm for P2P-ETS over Unreliable Communication LinksEnergies10.3390/en1109233111:9(2331)Online publication date: 4-Sep-2018
https://doi.org/10.3390/en11092331
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ICFNDS '17: Proceedings of the International Conference on Future Networks and Distributed Systems

July 2017

325 pages

ISBN:9781450348447

DOI:10.1145/3102304

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 19 July 2017

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ICFNDS '17: International Conference on Future Networks and Distributed Systems

July 19 - 20, 2017

Cambridge, United Kingdom

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Cited By

Jogunola OAdebisi BIkpehai APopoola SGui GGacanin HCi S(2021)Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A ReviewIEEE Internet of Things Journal10.1109/JIOT.2020.30321628:6(4211-4227)Online publication date: 15-Mar-2021
https://doi.org/10.1109/JIOT.2020.3032162
Wilkins DChitchyan RLevine MBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Peer-to-Peer Energy Markets: Understanding the Values of Collective and Community TradingProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376135(1-14)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376135
Jogunola OAdebisi BAnoh KIkpehai AHammoudeh MHarris GGacanin H(2018)Distributed Adaptive Primal Algorithm for P2P-ETS over Unreliable Communication LinksEnergies10.3390/en1109233111:9(2331)Online publication date: 4-Sep-2018
https://doi.org/10.3390/en11092331
Anoh KIkpehai ABajovic DJogunola OAdebisi BVukobratovic DHammoudeh MAbuarqoub AAdebisi BHammoudeh MMurad SArioua M(2018)Virtual microgridsProceedings of the 2nd International Conference on Future Networks and Distributed Systems10.1145/3231053.3231096(1-5)Online publication date: 26-Jun-2018
https://dl.acm.org/doi/10.1145/3231053.3231096
Adebisi BAnoh KRabie KIkpehai AFernando MWells A(2018)A New Approach to Peak Threshold Estimation for Impulsive Noise Reduction Over Power Line Fading ChannelsIEEE Systems Journal10.1109/JSYST.2018.2808230(1-12)Online publication date: 2018
https://doi.org/10.1109/JSYST.2018.2808230
Anoh KAdebisi BRabie KTanriover C(2018)Root-Based Nonlinear Companding Technique for Reducing PAPR of Precoded OFDM SignalsIEEE Access10.1109/ACCESS.2017.27794486(4618-4629)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2017.2779448
Jogunola OIkpehai AAnoh KAdebisi BHammoudeh MSon SHarris G(2017)State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy SystemEnergies10.3390/en1012210610:12(2106)Online publication date: 11-Dec-2017
https://doi.org/10.3390/en10122106

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