TY - JOUR
T1 - Channel capacity analysis for indoor PLC networks with considering the effect of loading conditions of networks on channel state information
AU - Shin, Jae Young
AU - Jeong, Ji Chai
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2011/2
Y1 - 2011/2
N2 - We analyze the channel capacity with considering the effect of the loading conditions of indoor PLC networks on channel state information. We consider various numbers of load for two kinds of the networks with regular length branches and a deployed network of indoor PLC. For calculating the channel capacity degradation, two noise scenarios and impedances are considered. From the simulation results, we suggest the robust regression lines for modeling the channel capacity degradation. In the cases of 0 Ω and Z0 loads, natural log and linear function curve show the best goodness of fit, respectively. For the deployed indoor PLC network with 0 Ω loads, compared with the networks with regular length branches, the goodness of fit decreases by the amount of 0.12 and 0.15 for low noise and high noise scenarios, respectively. Using the regression lines, we can estimate the channel capacity degradation without measurement.
AB - We analyze the channel capacity with considering the effect of the loading conditions of indoor PLC networks on channel state information. We consider various numbers of load for two kinds of the networks with regular length branches and a deployed network of indoor PLC. For calculating the channel capacity degradation, two noise scenarios and impedances are considered. From the simulation results, we suggest the robust regression lines for modeling the channel capacity degradation. In the cases of 0 Ω and Z0 loads, natural log and linear function curve show the best goodness of fit, respectively. For the deployed indoor PLC network with 0 Ω loads, compared with the networks with regular length branches, the goodness of fit decreases by the amount of 0.12 and 0.15 for low noise and high noise scenarios, respectively. Using the regression lines, we can estimate the channel capacity degradation without measurement.
KW - Channel capacity
KW - Channel state information
KW - PLC
KW - Power-line communications
UR - http://www.scopus.com/inward/record.url?scp=79952052354&partnerID=8YFLogxK
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U2 - 10.5370/KIEE.2011.60.2.252
DO - 10.5370/KIEE.2011.60.2.252
M3 - Article
AN - SCOPUS:79952052354
SN - 1975-8359
VL - 60
SP - 252
EP - 256
JO - Transactions of the Korean Institute of Electrical Engineers
JF - Transactions of the Korean Institute of Electrical Engineers
IS - 2
ER -