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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Future Networks and Distributed Systems, ICFNDS 2017 |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450348447 |
| DOIs | |
| State | Published - 19 Jul 2017 |
| Externally published | Yes |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | Part F130522 |
Bibliographical note
Publisher Copyright:© 2017 Association for Computing Machinery.
Keywords
- Hybrid wireless-powerline
- Impulsive Noise (IN)
- Log-normal
- Peer-to-peer (P2P)
- Powerline
- Powerline communication
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
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