TY - GEN
T1 - Sparsity-aware joint narrowband interference and impulse noise mitigation for hybrid powerline-wireless transmission
AU - Mokhtar, Mohamed
AU - Bajwa, Waheed U.
AU - Al-Dhahir, Naofal
N1 - Publisher Copyright: © 2015 IEEE.
PY - 2015/6/17
Y1 - 2015/6/17
N2 - Exploiting multiple physical layers for communications has gained increasing interest recently to improve reliability and/or coverage range. Powerline and unlicensed wireless communication networks are attractive candidates to realize this objective because of their ubiquity. However, their performance can be severely degraded by impulsive noise (IN) and narrowband interference (NBI), respectively. In this paper, we exploit the inherent sparse structures of NBI and IN in the frequency and time domains, respectively, to propose an efficient joint estimation and mitigation scheme based on compressive sensing (CS) principles. Moreover, we investigate the metric of maximum expected coherence of our scheme for realistic powerline communication (PLC) and wireless channels, which provides some insight into its performance. Finally, our numerical experiments demonstrate the superiority of jointly processing the wireless and PLC channel outputs for CS-based NBI and IN mitigation over separate processing of individual channel outputs.
AB - Exploiting multiple physical layers for communications has gained increasing interest recently to improve reliability and/or coverage range. Powerline and unlicensed wireless communication networks are attractive candidates to realize this objective because of their ubiquity. However, their performance can be severely degraded by impulsive noise (IN) and narrowband interference (NBI), respectively. In this paper, we exploit the inherent sparse structures of NBI and IN in the frequency and time domains, respectively, to propose an efficient joint estimation and mitigation scheme based on compressive sensing (CS) principles. Moreover, we investigate the metric of maximum expected coherence of our scheme for realistic powerline communication (PLC) and wireless channels, which provides some insight into its performance. Finally, our numerical experiments demonstrate the superiority of jointly processing the wireless and PLC channel outputs for CS-based NBI and IN mitigation over separate processing of individual channel outputs.
UR - http://www.scopus.com/inward/record.url?scp=84938717662&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84938717662&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/WCNC.2015.7127540
DO - https://doi.org/10.1109/WCNC.2015.7127540
M3 - Conference contribution
T3 - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
SP - 615
EP - 620
BT - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
Y2 - 9 March 2015 through 12 March 2015
ER -