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Title: Signal detection in MC-CDMA system using ELM receiver to mitigate multiple access interference and non-linear distortion
Authors: Imaduddin, Srinivas Rao, Ravikumar C. V., Kalapraveen Bagadi
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2021
Volume: 16
Issue: 12
Language: English
Multi-carrier code-division multiple access system support multiple users at the same time over same frequency band. It is a multiple access scheme used in OFDM-based telecommunication systems. Though it is a promising wireless communication technology with high spectral efficiency and system performance, it is prone to multiple access interference (MAI). So, this paper mainly aims to design a MC–CDMA receiver to mitigate MAI. The classical receivers like maximal ratio combining (MRC), equal gain combining (EGC), and minimum mean square error (MMSE) fails to cancel MAI when the MC– CDMA is subjected to non-linearistic degradations. In this case, the neural network (NN) receivers could be a better alternative. The efficiency and effectiveness of the proposed ELM (Extreme Learning Machine) Algorithm based receiver is studied thoroughly and explained in detailed for the MC–CDMA with non-linearistic degradations.
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