Energy-Efficient Vector OFDM PLC Systems with Dynamic Peak-Based Threshold Estimation

IKPEHAI, Augustine, ADEBISI, Bamidele, RABIE, Khaled Maaiuf, FERNANDO, Michael and WELLS, Andrew (2017). Energy-Efficient Vector OFDM PLC Systems with Dynamic Peak-Based Threshold Estimation. IEEE Access, 5, 10723-10733.

[img]
Preview
PDF
dpte7-paperv4_with_bio submitted 24052017.pdf - Accepted Version
All rights reserved.

Download (725kB) | Preview
Official URL: https://ieeexplore.ieee.org/document/7935539
Link to published version:: https://doi.org/10.1109/ACCESS.2017.2709254

Abstract

© 2013 IEEE. Power line communication (PLC) has made remarkable strides to become a key enabler of smart grid and its applications. Existing PLC systems are based on orthogonal frequency division multiplexing (OFDM), which has a high peak-to-average power ratio (PAPR). This paper presents vector OFDM (VOFDM) with advanced signal processing at the receiver to improve the energy efficiency of the PLC system. Results show that, due to its low PAPR properties, VOFDM is less sensitive to impulsive noise and provides a reduction of 5.8 dB in transmit power requirement relative to conventional OFDM. Furthermore, unlike the existing impulsive noise cancellation methods, the adopted signal processing technique also improves the SNR at the receiver by 2.1 dB, which further reduces the power requirement of the PLC transceiver. Together, these can simplify design, reduce cost, and improve energy efficiency of future PLC transceivers.

Item Type: Article
Uncontrolled Keywords: Dynamic power threshold-based estimation; energy efficiency; power-line communication (PLC); signal-to-noise ratio (SNR); smart grid; vector OFDM (VOFDM)
Identification Number: https://doi.org/10.1109/ACCESS.2017.2709254
Page Range: 10723-10733
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 05 Mar 2019 16:33
Last Modified: 18 Mar 2021 06:31
URI: https://shura.shu.ac.uk/id/eprint/23930

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics