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

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.

[1]  Murat Uysal,et al.  Cooperative diversity over log-normal fading channels: performance analysis and optimization , 2008, IEEE Transactions on Wireless Communications.

[2]  Youngsun Kim,et al.  Closed-Form Expression of Nakagami-Like Background Noise in Power-Line Channel , 2008, IEEE Transactions on Power Delivery.

[3]  Christos N. Capsalis,et al.  Statistical analysis and simulation of indoor single-phase low voltage power-line communication channels on the basis of multipath propagation , 2003, IEEE Trans. Consumer Electron..

[4]  Manav R. Bhatnagar,et al.  PLC Performance Analysis Over Rayleigh Fading Channel Under Nakagami- $m$ Additive Noise , 2014, IEEE Communications Letters.

[5]  K. Dostert,et al.  Analysis and modeling of impulsive noise in broad-band powerline communications , 2002 .

[6]  Norman C. Beaulieu,et al.  An optimal lognormal approximation to lognormal sum distributions , 2004, IEEE Transactions on Vehicular Technology.

[7]  Ranjan K. Mallik,et al.  Modeling and performance analysis of a PLC system in presence of impulsive noise , 2015, 2015 IEEE Power & Energy Society General Meeting.

[8]  M. V. Ribeiro,et al.  A low cost STBC-OFDM system with improved reliability for power line communications , 2011, 2011 IEEE International Symposium on Power Line Communications and Its Applications.

[9]  Andrea M. Tonello,et al.  In-Home Power Line Communication Channel: Statistical Characterization , 2014, IEEE Transactions on Communications.

[10]  Ranjan K. Mallik,et al.  Performance of a PLC system in impulsive noise with selection combining , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[11]  Andrea M. Tonello,et al.  PLC channel characterization up to 300 MHz: Frequency response and line impedance , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[12]  Murat Uysal,et al.  Diversity-Multiplexing Tradeoff for Log-Normal Fading Channels , 2016, IEEE Transactions on Communications.

[13]  Ranjan K. Mallik,et al.  Performance analysis of a power line communication system employing selection combining in correlated log-normal channels and impulsive noise , 2014, IET Commun..

[14]  Ranjan K. Mallik,et al.  Performance analysis of a multi-hop power line communication system over log-normal fading in presence of impulsive noise , 2015, IET Commun..

[15]  Manav R. Bhatnagar,et al.  PLC Performance Analysis Assuming BPSK Modulation Over Nakagami- $m$ Additive Noise , 2014, IEEE Communications Letters.

[16]  Stefano Galli,et al.  A Novel Approach to the Statistical Modeling of Wireline Channels , 2011, IEEE Transactions on Communications.

[17]  E. Gunawan,et al.  Performance analysis of OFDM systems for broadband power line communications under impulsive noise and multipath effects , 2005, IEEE Transactions on Power Delivery.

[18]  J.-C. Belfiore,et al.  Diversity-Multiplexing Tradeoff of Single-Antenna and Multi-Antenna Indoor Ultra-Wideband Channels , 2006, 2006 IEEE International Conference on Ultra-Wideband.

[19]  Aniruddha Chandra,et al.  Error performance of RS coded binary FSK in PLC channels with Nakagami and impulsive noise , 2014, 18th IEEE International Symposium on Power Line Communications and Its Applications.

[20]  H. Arslan,et al.  Statistical Characterization of the Paths in Multipath PLC Channels , 2011, IEEE Transactions on Power Delivery.

[21]  Manav R. Bhatnagar,et al.  Performance Evaluation of PLC Under the Combined Effect of Background and Impulsive Noises , 2015, IEEE Communications Letters.

[22]  Aniruddha Chandra,et al.  A comparative study of MFSK and CDMA for power line communication with background Nakagami noise , 2010, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA).

[23]  H. Meng,et al.  Modeling and analysis of noise effects on broadband power-line communications , 2005, IEEE Transactions on Power Delivery.

[24]  Aniruddha Chandra,et al.  Performance of BFSK over a PLC channel corrupted with background Nakagami noise , 2010, 2010 IEEE International Conference on Communication Systems.

[25]  Parul Garg,et al.  Performance analysis of a PLC system over log-normal fading channel and impulsive noise , 2015, 2015 International Conference on Computing and Network Communications (CoCoNet).

[26]  Youngsun Kim,et al.  BER Performance of Binary Transmitted Signal for Power Line Communication under Nakagami-like Background Noise , 2011 .

[27]  Norman C. Beaulieu,et al.  Estimating the distribution of a sum of independent lognormal random variables , 1995, IEEE Trans. Commun..

[28]  Manav R. Bhatnagar,et al.  Performance evaluation of PLC with log-normal channel gain over Nakagami-m additive background noise , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[29]  B. Adebisi,et al.  Space-Frequency and Space-Time-Frequency M3FSK for Indoor Multiwire Communications , 2009, IEEE Transactions on Power Delivery.