Bit error probability for MDPSK and NCFSK over arbitrary Rician fading channels

2000 ◽  
Vol 18 (11) ◽  
pp. 2179-2189 ◽  
Author(s):  
Yao Ma ◽  
Teng Joon Lin
Keyword(s):  
Fading Channels ◽  
Error Probability ◽  
Rician Fading ◽  
Bit Error Probability ◽  
Rician Fading Channels

Effect of Microdiversity and Macrodiversity on Average Bit Error Probability in Gamma-Shadowed Rician Fading Channels

ETRI Journal ◽  
2010 ◽  
Vol 32 (3) ◽  
pp. 464-467 ◽  
Author(s):  
Vladeta Vasilije Milenkovic ◽  
Nikola Milos Sekulovic ◽  
Mihajlo Caslav Stefanovic ◽  
Mile Branko Petrovic
Keyword(s):  
Fading Channels ◽  
Error Probability ◽  
Rician Fading ◽  
Bit Error Probability ◽  
Average Bit Error Probability ◽  
Rician Fading Channels

scholarly journals On the Bit Error Probability and the Spectral Efficiency of Opportunistic Wireless Transmissions in Rician Fading Channels

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 49267-49280
Author(s):  
Nathaly Orozco Garzon ◽  
Henry Carvajal Mora ◽  
Fernando Almeida Garcia ◽  
Carlos Daniel Altamirano
Keyword(s):  
Fading Channels ◽  
Spectral Efficiency ◽  
Error Probability ◽  
Rician Fading ◽  
Bit Error Probability ◽  
Wireless Transmissions ◽  
Rician Fading Channels

scholarly journals Display probability of symbol errors for MQAM on Rician fading channel based on MGF method

2015 ◽  
Vol 25 (1) ◽  
pp. 93-105
Author(s):  
Predrag Jovanovic ◽  
Dragan Mitic ◽  
Aleksandar Lebl ◽  
Radoslav Rajkovic
Keyword(s):  
Fading Channels ◽  
Error Probability ◽  
Maximal Ratio Combining ◽  
Rician Fading ◽  
Noise Power ◽  
Probability Of Error ◽  
Gaussian Channels ◽  
Analysis Of Error ◽  
Rician Fading Channels ◽  
Efficient Transfer

In this paper, we present a method to calculate the probability of error per symbol (Symbol Error Probability, SEP) of M-ary Quadrature Amplitude Modulation (MQAM) over a slow, flat, identically independently distributed Rician fading channels. Since the fading is one of the major constraints in wireless communications, then diversity modulation technique is used for the efficient transfer of message signals. Exact analysis of error probability per symbol for MQAM, transmitted over Rician fading channels, is performed by N branches of diversity reception using maximum ratio of signal-to-noise power (maximal-ratio-combining, MRC), where the information in the channel on the receiver side is known. The performances of MQAM over Rician fading channels are here also analyzed. Approximate formula is used to represent SEP for MQAM transmitted over Gaussian channels. Boundary condition for the approximation is M?4 and 0?SNR?30 dB.

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