Imperial College London
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DrWeiDai

Faculty of Engineering, Department of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6333wei.dai1 Website

 
 
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Location

 

811Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ding:2016:10.1109/JSAC.2016.2566140,
author = {Ding, W and Lu, Y and Yang, F and Dai, W and Li, P and Liu, S and Song, J},
doi = {10.1109/JSAC.2016.2566140},
journal = {IEEE Journal on Selected Areas in Communications},
pages = {2022--2032},
title = {Spectrally Efficient CSI Acquisition for Power Line Communications: A Bayesian Compressive Sensing Perspective},
url = {http://dx.doi.org/10.1109/JSAC.2016.2566140},
volume = {34},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Power line communication (PLC) techniques present a no extra wire solution for the communication purpose in a smart grid due to the ubiquity and low cost. Moreover, the through-the-grid property of PLC has naturally extended its possible applications, including but not limited to the automatic meter reading, line quality monitoring, online diagnostics, and network tomography. To guarantee the performance of communications as well as other applications in PLC systems, accurate channel state information (CSI) acquisition should be performed regularly. However, the conventional pilot-based CSI acquisition approaches in PLC systems have not made full use of the channel characteristics and hence suffer from a low spectral efficiency. In this paper, by exploiting the parametric sparsity and discretizing the electrical length in the well-known PLC channel model, we formulate the non-sparse (either time domain or frequency domain) PLC channel into a compressive sensing (CS) applicable problem. Furthermore, we propose a spectrally efficient CSI acquisition scheme under the framework of Bayesian CS and extend it to the multiple-input multiple-output PLC by investigating the channel spatial correlation. Compared with the existing sparse CSI acquisition schemes for PLC, such as the annihilating filter-based and the estimating signal parameters via rotational invariance technique-based ones, the proposed scheme has better mean square error performance and noise robustness.
AU  - Ding,W
AU  - Lu,Y
AU  - Yang,F
AU  - Dai,W
AU  - Li,P
AU  - Liu,S
AU  - Song,J
DO  - 10.1109/JSAC.2016.2566140
EP  - 2032
PY  - 2016///
SN  - 1558-0008
SP  - 2022
TI  - Spectrally Efficient CSI Acquisition for Power Line Communications: A Bayesian Compressive Sensing Perspective
T2  - IEEE Journal on Selected Areas in Communications
UR  - http://dx.doi.org/10.1109/JSAC.2016.2566140
VL  - 34
ER  -
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