Asymptotic Symbol Error Rate Analysis of Weibull/Shadowed Composite Fading Channel

2018 ◽  
pp. 181-191 ◽  
Author(s):  
Puspraj Singh Chauhan ◽  
Sanjay Kumar Soni
Keyword(s):  
Error Rate ◽  
Fading Channel ◽  
Symbol Error Rate ◽  
Rate Analysis ◽  
Composite Fading ◽  
Composite Fading Channel

scholarly journals MGF-based Analysis of Maximum Ratio Combining Receiver over Fisher-Snedecor Composite Fading Channel

2019 ◽  
Vol 8 (9S) ◽  
pp. 1-9
Keyword(s):  
Closed Form ◽  
Error Rate ◽  
Fading Channel ◽  
Symbol Error Rate ◽  
Closed Form Expression ◽  
Small Scale ◽  
Fixed Rate ◽  
Maximum Ratio Combining ◽  
Composite Fading ◽  
Composite Fading Channel

Fisher Snedecor composite fading model is the combination of Nakagami-m and inverse Nakagami-m distribution. The Nakagami-m is used to characterize the small scale fading, whereas shadowing is modeled by inverse Nakagami-m distribution. In this paper, the closed-form expression for moment generating function (MGF) of instantaneous signal to noise ratio (SNR) over independent identically distributed (i.i.d) Fisher-Snedecor composite fading channel using maximum ratio combining (MRC) diversity technique is derived. By using newly derived MGF expression, we derive the closed-form expressions of average bit error rate (ABER) or average symbol error rate (ASER) for different binary and multilevel modulation schemes. The expressions for average channel capacity (ACC) under two adaptive transmission protocols like optimum rate adaption (ORA) and channel inversion with fixed rate (CIFR) are also derived using proposed MGF. Further, the numerical results of newly derived expression are presented and compared with the results of Rayleigh and Nakagami-m distribution which is the special case of Fisher Snedecor composite fading model.

Ergodic Capacity and Symbol Error Rate Analysis of a Wireless System with α-μ Composite Fading Channel

2021 ◽  
Author(s):  
Fereshteh salimian rizi ◽  
Abolfazl Falahati
Keyword(s):  
Error Rate ◽  
Fading Channel ◽  
Communication Systems ◽  
Large Scale ◽  
Scale Effects ◽  
Ergodic Capacity ◽  
Symbol Error Rate ◽  
Performance Criteria ◽  
Rate Analysis ◽  
New Generation

Abstract A composite α-µ/Lognormal fading channel is proposed with several channel performance criteria. This model considers the most effective occurrences in a fading channel, mainly non-linearity, multi-cluster nature of propagation medium, and shadowing effects. The new generation of communication systems is moving towards the use of millimetre waves (mmW). In this type of propagation, large-scale effects of fading channel on the received signal are significant, so in the proposed composite model, the lognormal distribution is considered to model large-scale effects of fading, which is the most accurate distribution to model shadowing. The Gaussian-Hermite quadrature sum is used to approximate the probability distribution function (PDF) of the proposed model. After calculating the statistics, the symbol error rate (SER) and ergodic capacity are computed. The Mellin transform technique is used to calculate the SER expression of different modulation schemes; then, ergodic capacity is computed for a diverse frequency spectrum. Finally, the Monte Carlo method is used to evaluate the analyses.

Error-rate analysis of the OFDM for correlated Nakagami-m fading channel by using maximal-ratio combining diversity

2011 ◽  
Vol 3 (6) ◽  
pp. 717-726 ◽  
Author(s):  
Vivek K. Dwivedi ◽  
Ghanshyam Singh
Keyword(s):  
Error Rate ◽  
Fading Channel ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mathematical Expression ◽  
Moment Generating Function ◽  
Symbol Error Rate ◽  
Maximal Ratio Combining ◽  
Rate Analysis ◽  
Shift Keying

In this paper, we have analyzed the performance of correlated Nakagami-m fading channel by using the maximal-ratio-combing diversity at the receiver. A closed-form mathematical expression is derived for the average bit error rate (BER) for binary phase-shift keying (BPSK) and average symbol-error-rate (SER) for M-Quardrature amplitude modulation (M-QAM) scheme in terms of the higher transcendental function such as Appell hypergeometric function by using the well-known moment generating function (MGF)-based approach with arbitrary fading index for the orthogonal frequency division multiplexing (OFDM) communication systems. Moreover, we also derived an expression for the outage probability and the proposed numerical results are compared with the reported literature.

scholarly journals Simplified approach for symbol error rate analysis of SC-FDMA scheme over Rayleigh fading channel

ETRI Journal ◽  
2018 ◽  
Vol 40 (4) ◽  
pp. 537-545 ◽  
Author(s):  
Vinay Kumar Trivedi ◽  
Madhusudan Kumar Sinha ◽  
Preetam Kumar
Keyword(s):  
Error Rate ◽  
Fading Channel ◽  
Rayleigh Fading ◽  
Symbol Error Rate ◽  
Rayleigh Fading Channel ◽  
Simplified Approach ◽  
Rate Analysis

scholarly journals Symbol Error Rate Analysis of OFDM System with CFO Over TWDP Fading Channel

2019 ◽  
Vol 109 (4) ◽  
pp. 2187-2198
Author(s):  
Daljeet Singh ◽  
Atul Kumar ◽  
Hem Dutt Joshi ◽  
Maurizio Magarini ◽  
Rajiv Saxena
Keyword(s):  
Error Rate ◽  
Fading Channel ◽  
Symbol Error Rate ◽  
Ofdm System ◽  
Rate Analysis ◽  
Twdp Fading

Symbol error rate analysis of non-orthogonal multiple access systems

2021 ◽  
Vol 46 ◽  
pp. 101295
Author(s):  
Ali Mohammed A. Alkhazzar ◽  
Hassan Aghaeinia
Keyword(s):  
Error Rate ◽  
Multiple Access ◽  
Symbol Error Rate ◽  
Rate Analysis

Performance Analysis of OQPSK Signals with Bi-Kappa Noise for Wireless Sensor Networks

2013 ◽  
Vol 330 ◽  
pp. 957-960
Author(s):  
Qiao Ling Du ◽  
Zhi Rui Wang ◽  
Yu Pei ◽  
Yi Ding Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Performance Analysis ◽  
Error Rate ◽  
Fading Channel ◽  
Rayleigh Fading ◽  
Symbol Error Rate ◽  
Wireless Sensor ◽  
Channel Simulation ◽  
Simulation Results

This paper investigates the performance analysis of OQPSK in HF band for wireless sensor networks. An analytical model for getting symbol error rate (SER) is given in presence of Bi-Kappa noise in HF band. And the SER of OQPSK is given in AWGN and Rayleigh fading channel. Simulation results HF noise as Bi-Kappa noise should be investigated in HF band for WSN.

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