PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 22, 2026International Journal of System of Systems Engineering0 citations

Database systems under Rayleigh fading channels: MIMO-NOMA based performance evaluation modelling

View Full Paper
CBC. BharathiHRH.S. Manjunatha Reddy

Key Points

  • The research aims to evaluate the performance of MIMO-NOMA systems under Rayleigh fading conditions, particularly focusing on power allocation strategies.
  • Developed a comprehensive simulation model for MIMO-NOMA systems using QPSK modulation.
  • Analyzed system throughput and user fairness across different user distances and power differentials.
  • Evaluated performance metrics including spectral efficiency and outage probabilities under various bandwidth scenarios.
  • Achieved a 12 dB/Hz increase in spectral efficiency with only a 1 dB SNR boost.
  • Reduced outage probabilities to 15 × 10^-3 and 12 × 10^-3 at 0.17 dB.
  • Demonstrated substantial reductions in bit error rate even in challenging Rayleigh fading conditions.

Abstract

In recent years, non-orthogonal multiple access (NOMA) has emerged as a transformative technique, revolutionising spectral efficiency and enabling massive connectivity in next-gen wireless communication. This ground breaking research delves into multiple input multiple output non-orthogonal multiple access (MIMO NOMA) systems' power allocation strategies, prioritising system throughput and user fairness. Our innovative approach leverages QPSK modulation in a comprehensive system model, meticulously simulating performance across various variables, including user distance and power differentials. Across varying bandwidths, our model showcases remarkable improvements in user experience, with a jaw-dropping 12 dB/Hz increase in spectral efficiency at a mere 1 dB SNR boost, coupled with a staggering 15 × 10-3 and 12 × 10-3 reduction in outage probabilities at 0.17 dB. Even in the challenging Rayleigh fading channel, the bit error rate (BER) sees substantial reductions, reaffirming the prowess of our proposed methodology.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bharathi et al. (2026) studied this question.

synapsesocial.com/papers/69bf8692f665edcd009e8e49https://doi.org/10.1504/ijsse.2026.152420
Ask AI
Helpful
Bookmark
Share
View Full Paper