Symbol Error Rate of Underlay Cognitive Relay Systems over Rayleigh Fading Channel

2012 ◽  
Vol E95.B (5) ◽  
pp. 1873-1877 ◽  
Author(s):  
Khuong HO VAN ◽  
Vo Nguyen Quoc BAO
ETRI Journal ◽  
2018 ◽  
Vol 40 (4) ◽  
pp. 537-545 ◽  
Author(s):  
Vinay Kumar Trivedi ◽  
Madhusudan Kumar Sinha ◽  
Preetam Kumar

2013 ◽  
Vol 330 ◽  
pp. 957-960
Author(s):  
Qiao Ling Du ◽  
Zhi Rui Wang ◽  
Yu Pei ◽  
Yi Ding Wang

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.


Transmission of signal over long distance through the channel will result in poor signal quality reception at the receiver. The Signal quality is affected by means of fading and it can be minimized by using effective modulation techniques. Mary QAM is one of the effective modulation techniques as it has higher efficiency and effective form of modulation for data. MQAM is a modulation where data bit selects M combinations of amplitude and phase shifts that are applied to carrier. The analysis carried out based on Bit Error Rate on various M - Quadrature Amplitude Modulation schemes like 16 -QAM, 64- QAM and 256- QAM over Gaussian and Rayleigh Fading channel. The input data entered into QAM modulator then transmits over Gaussian channel and the QAM demodulator is performed at the receiver. The same process repeated over Rayleigh fading channel for M-QAM. Rayleigh fading is multipath fading channel will vary randomly according to the Rayleigh distribution. The MATLAB simulation is carried out to get experimental results on M-QAM and compared. The analysis shows that improved Bit Error Rate in 16-QAM over Gaussian and Rayleigh fading channel.


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