scholarly journals Performance Analysis of Beamforming in MU-MIMO Systems for Rayleigh Fading Channels

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 3709-3720 ◽  
Author(s):  
Ahmad Kamal Hassan ◽  
Muhammad Moinuddin ◽  
Ubaid M. Al-Saggaf ◽  
Tareq Y. Al-Naffouri
Keyword(s):  
Performance Analysis ◽  
Fading Channels ◽  
Rayleigh Fading ◽  
Mimo Systems ◽  
Rayleigh Fading Channels

Performance analysis of Power-Domain NOMA and NOMA-2000 on AWGN and Rayleigh fading channels

2020 ◽  
Vol 43 ◽  
pp. 101185 ◽  
Author(s):  
Ali Al Khansa ◽  
Xiao Chen ◽  
Yue Yin ◽  
Guan Gui ◽  
Hikmet Sari
Keyword(s):  
Performance Analysis ◽  
Fading Channels ◽  
Rayleigh Fading ◽  
Rayleigh Fading Channels ◽  
Power Domain

scholarly journals Design and Performance Analysis of MISO-SRMR-DCSK System over Rayleigh Fading Channels

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Gang Zhang ◽  
Yi man Hao ◽  
Tian qi Zhang
Keyword(s):  
Performance Analysis ◽  
Fading Channels ◽  
Rayleigh Fading ◽  
Perfect Match ◽  
Rayleigh Fading Channels ◽  
Major Drawback ◽  
Shift Keying ◽  
And Performance ◽  
Chaos Shift Keying ◽  
Differential Chaos Shift Keying

The major drawback of the differential chaos shift keying (DCSK) system is that equal time and energy are spent on the reference and data signal. This paper presents the design and performance analysis of a short reference multifold rate DCSK (SRMR-DCSK) system to overcome the major drawback. The SRMR-DCSK system is proposed to enhance the data rate of the short reference differential chaos shift keying (SR-DCSK) system. By recycling each reference signal in SR-DCSK, the data slot carries N bits of data and by P times. As a result, compared with SR-DCSK, the proposed system has a higher data transmission rate and evaluates the energy efficiency with respect to the conventional DCSK system. To further improve the bit-error-rate (BER) performance over Rayleigh fading channels, the multiple-input single-output SRMR-DCSK (MISO-SRMR-DCSK) is also studied. The BER expression of the proposed system is derived based on Gaussian approximation (GA), and simulations in Rayleigh fading channels are performed. Simulation results show a perfect match with the analytical expression.

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