BER Improvement in Fading Conditions Using QAM

Abstract

Abstract

The future mobile network requires huge capacity, coverage, energy efficiency and spectral efficiency. In different fading conditions, like Gaussian noise channel, Rician fading and Rayleigh fading conditions, higher order QAM can improve spectral efficiency by improving bit error rate. Additive white Gaussian noise model describes the effect of random processes in nature. Rayleigh distribution has static time varying nature on the receiver side. The envelope of Rician fading is small scale fading envelope. This condition develops when non-fading signal component is present in a network which is also known as a dominant stationary signal component.

Keywords: QAM, BER, spectral efficiency, Gaussian noise channel, Rayleigh fading conditions, Rician fading conditions

Cite this Article

Balwant Singh, Vinod Shokeen, Rishi Ashthana. BER Improvement in Fading Conditions Using QAM. Trends in Opto-Electro & Optical Communications. 2017; 7(2): 1–6p.