Correction to "Error Rate Analysis of Threshold-Based Hybrid Selection/Maximal-Ratio Combining over Correlated Nakagami-m Fading Channels"

2008 ◽  
Vol 12 (6) ◽  
pp. 407-407
Author(s):  
Nikos Sagias ◽  
Kostas Peppas
Keyword(s):  
Fading Channels ◽  
Error Rate ◽  
Maximal Ratio Combining ◽  
Rate Analysis ◽  
Hybrid Selection

scholarly journals Error Rate Analysis of Amplitude-Coherent Detection Over Rician Fading Channels With Receiver Diversity

2020 ◽  
Vol 19 (1) ◽  
pp. 134-147 ◽  
Author(s):  
Mohammad A. Al-Jarrah ◽  
Ki-Hong Park ◽  
Arafat Al-Dweik ◽  
Mohamed-Slim Alouini
Keyword(s):  
Fading Channels ◽  
Error Rate ◽  
Coherent Detection ◽  
Rician Fading ◽  
Receiver Diversity ◽  
Rate Analysis ◽  
Rician Fading Channels

scholarly journals Bit-Error-Rate Analysis of Raptor Codes over Rician Fading Channels

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Jingke Dai
Keyword(s):  
Fading Channels ◽  
Bit Error Rate ◽  
Error Rate ◽  
System Performance ◽  
Gaussian Approximation ◽  
Rician Fading ◽  
Raptor Codes ◽  
Erasure Channels ◽  
Rate Analysis ◽  
Rician Fading Channels

The bit-error-rate expressions of nonsystematic Raptor (NR) codes and systematic Raptor (SR) codes over Rician fading channels are first derived using a Gaussian approximation (GA) approach. These BER expressions provide a significant reduction in computational complexity for analyzing system performance when compared with simulation and discretized density evolution (DDE). As shown by the asymptotic analysis, the NR codes originally designed for binary erasure channels still have good performance on Rician fading channels but SR codes do not. Therefore, the degree distributions of SR codes are specifically optimized on Rician channels which are superior to the existing SR codes and comparable to NR codes.

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