Analysis of interference effect in VL-NOMA network considering signal power parameters performance

Chidi Emmanuel Ngene, Prabhat Thakur, Ghanshyam Singh

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This study analyses the interference effect in a visible light-non-orthogonal multiple access (VL-NOMA) network that considers the signal power parameters performance for near and far users. The light-emitting diode (LED) as a carrier transmits signals, and we investigate the interference effect. The interference effect challenge is a result of unaligned signal power parameters, thereby producing noise or echo during the signal transmission. The signal power parameters are successfully aligned, and NOMA techniques are deployed, which improves the signal performance in terms of bit-error rate (BER), achieved data rate, and signal-to-interference plus noise ratio (SINR). Furthermore, the deployed NOMA techniques, such as power allocations (PA) to assign the signals appropriately, then superposition coding (SC) encodes the entire signal, and successive interference cancellation (SIC) cancels the interference within the signals. The signal behavior of the aligned and the unaligned signal power parameters performance are used to investigate the interference effect. We observed that unaligned signal power parameters reduce the signal performance of achieved data rate, BER, and SINR. Further, the aligned signal power parameter with NOMA techniques improves the signal performance. Moreover, in the aligned signal power scenario of NOMA, the near user performed better than the far user.

Original languageEnglish
Pages (from-to)1062-1070
Number of pages9
JournalIET Communications
Volume18
Issue number17
DOIs
Publication statusPublished - Oct 2024

Keywords

  • 5G mobile communication
  • 6G
  • indoor communication
  • inference mechanisms
  • optical communication

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Analysis of interference effect in VL-NOMA network considering signal power parameters performance'. Together they form a unique fingerprint.

Cite this