SYMBOL ERROR PROBABILITY OF 16-QAM SYSTEM OVER AWGN AND RAYLEIGH FADING CHANNELS

Authors

  • Oluwadamilola Kehinde Oyetola Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria
  • Ayodeji Akinsoji Okubanjo Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria
  • Alexander Akpofure Okandeji Department of Electrical and Electronic Engineering, Unversity of Lagos, Akoka
  • Peter Olufemi Alao Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria
  • Martins O. Osifeko Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria.
  • Omowunmi Grace Olasunkanmi Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

DOI:

https://doi.org/10.46881/ajsn.v7i0.154

Keywords:

Symbol error probability, Quadrature amplitude modulation, Rayleigh fading, wireless communication, noise

Abstract

Wireless communication had transformed the mode of human interactions in recent times, distance is no longer a barrier as messages can be sent several miles apart within few seconds. In addition, the pervasive adoption of mobile communication system had engendered researchers to device new and effective technologies to enhance Quality of Service (QOS) offered by service providers. This is obvious in the deployment of trending mobile generations such as 2G, 3G and 4G systems for high speed voice and data services. Nevertheless, these systems are still embattled with unpredictable impairment such as noise in fading channels that impedes optimal system performance. In this paper, performance evaluation of 16–Quadrature Amplitude Modulation (16-QAM) system over Additive White Gaussian Noise (AWGN) and Rayleigh Channels using simulated and theoretical approach is presented. Theoretical mathematical expression for Symbol Error Rate(SEP) was derived, and simulation was setup using MATLAB/SIMULINK for performance evaluation. The results show that SEP is dependent on signal-noise-ratio (SNR) for both methods. However, SEP wasvery high for Rayleigh channel as compared with AWGN.

Author Biographies

Oluwadamilola Kehinde Oyetola, Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

Ayodeji Akinsoji Okubanjo, Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

Alexander Akpofure Okandeji, Department of Electrical and Electronic Engineering, Unversity of Lagos, Akoka

Department of Electrical and Electronic Engineering, Unversity of Lagos, Akoka

Peter Olufemi Alao, Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

Martins O. Osifeko, Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria.

Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria.

Omowunmi Grace Olasunkanmi, Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

Department of Computer and Electrical/Electronic Engineering, Faculty of Engineering, Olabisi Onabanjo University, Ibogun Campus, Ogun, Nigeria

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Published

2020-11-06

Issue

Vol. 7 (2018)

Section

Articles