TY - GEN
T1 - Bounds on the Capacity of MIMO Broadband Power Line Communications Channels
AU - Shlezinger, Nir
AU - Shaked, Roee
AU - Dabora, Ron
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - Communications over power lines in the frequency range above 2 MHz, commonly referred to as broadband (BB) power line communications (PLC), is a central communications scenario for smart power grids. BB-PLC channels are characterized by a dominant colored non-Gaussian additive noise, as well as by periodic variations of the channel impulse response and the noise statistics, induced by the mains voltage. In this work we study the fundamental rate limits for multiple input-multiple output (MIMO) BB-PLC channels, modeled as periodic channels with additive non-Gaussian noise and finite memory. We present bounds on the capacity of these channels by exploiting a bijection with time-invariant MIMO channels of extended dimensions. We illustrate the resulting fundamental limits in a numerical analysis corresponding to practical MIMO BB-PLC channels.
AB - Communications over power lines in the frequency range above 2 MHz, commonly referred to as broadband (BB) power line communications (PLC), is a central communications scenario for smart power grids. BB-PLC channels are characterized by a dominant colored non-Gaussian additive noise, as well as by periodic variations of the channel impulse response and the noise statistics, induced by the mains voltage. In this work we study the fundamental rate limits for multiple input-multiple output (MIMO) BB-PLC channels, modeled as periodic channels with additive non-Gaussian noise and finite memory. We present bounds on the capacity of these channels by exploiting a bijection with time-invariant MIMO channels of extended dimensions. We illustrate the resulting fundamental limits in a numerical analysis corresponding to practical MIMO BB-PLC channels.
UR - http://www.scopus.com/inward/record.url?scp=85052432468&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ISIT.2018.8437721
DO - https://doi.org/10.1109/ISIT.2018.8437721
M3 - Conference contribution
SN - 9781538647806
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1350
EP - 1354
BT - 2018 IEEE International Symposium on Information Theory, ISIT 2018
T2 - 2018 IEEE International Symposium on Information Theory, ISIT 2018
Y2 - 17 June 2018 through 22 June 2018
ER -