Error performance of RS coded binary FSK in PLC channels with Nakagami and impulsive noise

Chattopadhyay, Anirban; Sharma, Kalyan; Chandra, Aniruddha

doi:10.1109/isplc.2014.6812369

Cited by 20 publications

(20 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2, the plot of the average BER of the PLC system under the influence of both the Nakagami-m distributed background noise and the Middleton class A distributed impulsive noise is shown. The computational curves are obtained using (14), after plugging in the expressions of P e,b from (15) and P e,bi from (22). The BER plots have been obtained for Table I in [8], namely, the heavy impulse (IAT = 0.0196s, t i = 0.0641ms), the moderate impulse (IAT = 0.96s, t i = 0.0607ms), and the weak impulse (IAT = 8.1967s, t i = 0.1107ms) situations.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The two-term mixture Gaussian noise model considered in [8] is a very special case of the more generalised Middleton class A distribution. In [14], the analytical BER of the PLC system assuming binary frequency shift keying modulation under the background noise and impulsive noise is derived. However, the envelope of the impulsive noise is assumed to be complex Gaussian such that the real and imaginary components of the impulsive noise are Gaussian distributed.…”

mentioning

confidence: 99%

“…Although the detector given by (6) is not an optimum detector for the cases considered, but it is sufficient to analyze the performance of the considered PLC system in presence of both background and impulsive noises more accurately compared to [8] and [14].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Performance Evaluation of PLC Under the Combined Effect of Background and Impulsive Noises

2015

View full text Add to dashboard Cite

Power line communication (PLC) is the use of power lines for the purpose of electronic data transmission. The presence of additive noise, namely, background noise and impulsive noise, significantly affects the performance of a PLC system. While the background noise is modeled by Nakagami-m distribution, the impulsive noise is modeled using Middleton class A distribution. In this paper, we study the performance of a PLC system under the combined effect of Nakagami-m background noise and Middleton class A impulsive noise assuming binary phase shift keying signalling. The probability density function of decision variable under the influence of additive noise (sum of background noise and impulsive noise) is derived. We also derive an analytical expression for the average bit error rate of the considered PLC system. The analytical expressions are validated by close matching to the simulation results. The analysis presented in this paper closely predicts the behavior of the PLC system under the combined effect of background and impulsive noises.Keywords -Background noise, binary phase shift keying, bit error rate, impulsive noise, Middleton class A distribution, Nakagami-m distribution, power line communications.I. INTRODUCTION In the past few years, power line communications (PLC) has been gaining the attention of the researchers due to the ubiquitous nature of power lines and widespread availability. PLC is an emerging field of communication for the home area network of smart grid. PLC, with its huge coverage area and existing power line infrastructure, has the potential to cater to the ever-increasing demand of high speed access to video and data [1]. However, PLC offers a difficult environment for communication due to the random fluctuation of its key parameters, such as, noise, impedance, and attenuation with time, frequency, and distance [2].There are two broad categories of additive noise in PLC, namely, background noise and impulsive noise. The longterm measurements of noise spectrum in PLC conducted in [3] over a frequency range of 1 MHz to 30 MHz suggest that time domain amplitude of the background noise follows Nakagami-m distribution. Using this noise model for the background noise, a maximum likelihood detector for binary and quaternary transmitted signals is derived in [4] and [5], respectively, and the corresponding average bit error rate (BER) is obtained. The performance of a PLC system under the influence of Nakagami-m additive background noise over Rayleigh fading is evaluated in terms of BER and outage probability in [6]. In [7], the outage probability analysis of a PLC system with Rician channel under Nakagami-m background noise is performed. However, the effect of impulsive noise has been ignored in the BER analysis in [3]- [7]. Although, the Bernoulli-Gaussian distribution is used to represent the

show abstract

Section: Numerical Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Performance Evaluation of PLC Under the Combined Effect of Background and Impulsive Noises

2015

View full text Add to dashboard Cite

show abstract

“…Particularly, although communication signals are transmitted at high frequencies (ie, in the MHz band), power cables are designed to transfer low‐frequency power signals. To this end, a great amount of effort has been put on analyzing the performance of PLC systems as well as on presenting new transmission and reception schemes …”

Section: Introductionmentioning

confidence: 99%

“…Particularly, although communication signals are transmitted at high frequencies (ie, in the MHz band), power cables are designed to transfer low-frequency power signals. To this end, a great amount of effort has been put on analyzing the performance of PLC systems [4][5][6][7][8][9][10][11][12][13][14][15][16] as well as on presenting new transmission and reception schemes. 17,18 In general, the additive channel noise in PLC is classified into two categories: the background noise and the impulsive noise.…”

Section: Introductionmentioning

confidence: 99%

Error performance of power line communications in the presence of Nakagami‐m background noise

Papanikolaou

Ntouni

Boulogeorgos

et al. 2018

Trans Emerging Tel Tech

View full text Add to dashboard Cite

This paper studies the error performance of power line communication (PLC) systems, in the presence of background noise with Nakagami‐m distributed envelope and uniformly distributed phase. In this sense, we present closed‐form expressions for the symbol error rate (SER) of PLC systems using binary pulse amplitude modulation and generalize the analysis to accommodate the M‐ary pulse amplitude modulation. In addition, novel closed‐form expressions for the SER upper bound of rectangular quadrature amplitude modulation PLC systems are derived. Interestingly, these expressions can be considered as tight SER approximations in the high–signal‐to‐noise ratio region and, thus, can efficiently evaluate the operational bound of a PLC system.

show abstract

Network‐coded MIMO‐NOMA systems with FEC codes in two‐way relay networks

Hlaing

Farzamnia

Mariappan

et al. 2020

Int J Communication

View full text Add to dashboard Cite

Summary This paper assumes two users and a two‐way relay network with the combination of 2×2 multi‐input multi‐output (MIMO) and nonorthogonal multiple access (NOMA). To achieve network reliability without sacrificing network throughput, network‐coded MIMO‐NOMA schemes with convolutional, Reed‐Solomon (RS), and turbo codes are applied. Messages from two users at the relay node are network‐coded and combined in NOMA scheme. Interleaved differential encoding with redundancy (R‐RIDE) scheme is proposed together with MIMO‐NOMA system. Quadrature phase‐shift keying (QPSK) modulation technique is used. Bit error rate (BER) versus signal‐to‐noise ratio (SNR) (dB) and average mutual information (AMI) (bps/Hz) versus SNR (dB) in NOMA and MIMO‐NOMA schemes are evaluated and presented. From the simulated results, the combination of MIMO‐NOMA system with the proposed R‐RIDE‐Turbo network‐coded scheme in two‐way relay networks has better BER and higher AMI performance than conventional coded NOMA system. Furthermore, R‐RIDE‐Turbo scheme in MIMO‐NOMA system outperforms the other coded schemes in both MIMO‐NOMA and NOMA systems.

show abstract

Error performance of RS coded binary FSK in PLC channels with Nakagami and impulsive noise

Cited by 20 publications

References 11 publications

Performance Evaluation of PLC Under the Combined Effect of Background and Impulsive Noises

Performance Evaluation of PLC Under the Combined Effect of Background and Impulsive Noises

Error performance of power line communications in the presence of Nakagami‐m background noise

Network‐coded MIMO‐NOMA systems with FEC codes in two‐way relay networks

Contact Info

Product

Resources

About