Performance Evaluation of Wireless Fading Channels for Indoor Applications

D. L. Sharini, Ravilla Dilli, M. Kanthi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Channels play a significant role in wireless communication systems. Such systems utilize modulation techniques in enhancing the signal strength or range. However, different channels are preferred for specific data transmission. Interference, bandwidth, modulation order and transmitted power are some of the parameters that directly affect Bit Error Rate (BER) and Signal to Noise Ratio (SNR) during signal transmission in the channel. This paper overviews on the performance evaluation of wireless fading channels, causes of fading and digital modulation scheme. Here Binary Phase Shift Keying (BPSK) is chosen by considering it to be a preliminary modulation scheme. The main contribution deals with analyzing the performance of small-scale fading in Additive White Gaussian Noise (AWGN), Rayleigh and Rician fading channels. The performance metrics considered are SNR(Eb/No) and BER. All the simulations are carried out using MATLAB tool.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages279-283
Number of pages5
ISBN (Electronic)9781665474924
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2023 - Dehradun, India
Duration: 17-03-202318-03-2023

Publication series

NameProceedings - IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2023

Conference

Conference2023 IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2023
Country/TerritoryIndia
CityDehradun
Period17-03-2318-03-23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Signal Processing
  • Modelling and Simulation

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