NDLI: Performance analysis of power line communication systems with diversity combining under correlated lognormal fading and Nakagami noise

Content Provider	IET Digital Library
Author	Rjeily, Chadi Abou
Abstract	In this study, the authors evaluate the bit error rate (BER) performance of multichannel power line communication (PLC) systems under lognormal fading and Nakagami-m background noise. The information signal propagates over two parallel, but correlated channels while maximum ratio combining and equal gain combining are implemented at the receiver side. By appropriately approximating the tail of the probability density function of a single Nakagami-m noise term and of the weighted sum of two Nakagami-m noise terms, they derive accurate expressions of the BER. They prove that single-channel and multichannel PLC systems both benefit from an infinite diversity order and that this quantity increases logarithmically with the signal-to-noise ratio. In this case, the advantage of the diversity combining techniques resides in their impact on the average energy of the fading gain; a quantity that they derive analytically by applying the lognormal-sum approximation.
Starting Page	405
Ending Page	413
Page Count	9
ISSN	17518628
Volume Number	11
e-ISSN	17518636
Issue Number	Issue 3, Feb (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/11/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.0802
Journal	IET Communications
Publisher Date	2017-02-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Bit Error Rate Performance Carrier Transmission on Power Line Correlated Lognormal Fading Channel Diversity Combining Diversity Reception Equal Gain Combining Error Statistics Infinite Diversity Order Information Signal Propagation Interpolation And Function Approximation Log Normal Distribution Lognormal-sum Approximation Maximum Ratio Combining Multichannel PLC System BER Performance Nakagami Channel Nakagami-m Background Noise Nakagami-m Noise Numerical Analysis Power Line Communication System Performance Analysis Power Line System Probability Density Function Radio Link And Equipment Radio Receiver Radio Wave Propagation Receiver Side Signal to Noise Ratio Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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