Enhancing Non-Orthogonal Multiple Access with Practical Successive Interference Cancellation: A MIMO Approach with Interference-Predicted MMSE Techniques

In the realm of forthcoming wireless mobile networks, non-orthogonal multiple access, commonly referred to as NOMA, has been identified as a viable radio access technique. It employs successive interference cancellation (SIC) as the primary receiver mechanism and utilizes the power domain for user multiplexing on the transmitter side, anticipating advancements in mobile devices. Nonetheless, a substantial segment of the latest research endeavors to evaluate the effectiveness of NOMA on the assumption that the receiver has full SIC capability. This study examines the potential to reconcile the disparity between the theoretical and actual efficacy of successive interference cancellation (SIC) in non-orthogonal multiple access (NOMA) systems by employing multi-input multi-output (MIMO) technology with zero-forcing (ZF) and minimum mean square error (MMSE) SIC methodologies. This document presents the interference-predicted minimum mean square error (IPMMSE) interference cancellation (IC) method, which modifies the MMSE weight factor to accommodate interference signals. Furthermore, they provide a study of the error consequences linked to practical SIC designs. We propose the remaining interference-predicted MMSE (RIPMMSE) interference cancellation as a resolution to the issue of residual interference, based on this premise. On the other hand, the findings of the simulation show that the suggested IC schemes that forecast interference signals outperform NOMA with standard ZF and MMSE IC techniques. This is despite the fact that practical IC schemes produce a higher bit error rate (BER) in comparison to traditional orthogonal multiple access (OMA).

Authors

Institutions

Publication Details

Published
2025-02-20
DOI
https://doi.org/10.1109/icsc64553.2025.10967841
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Non-Orthogonal Multiple Access with Practical Successive Interference Cancellation: A MIMO Approach with Interference-Predicted MMSE Techniques

Neeraj Dwivedi, Sudhanshu Tyagi, Sudeep Tanwar, Sachin Kumar
Advanced MIMO Systems Optimization
article

Enhancing Non-Orthogonal Multiple Access with Practical Successive Interference Cancellation: A MIMO Approach with Interference-Predicted MMSE Techniques

Neeraj Dwivedi, Sudhanshu Tyagi, Sudeep Tanwar, Sachin Kumar
article en

Abstract

In the realm of forthcoming wireless mobile networks, non-orthogonal multiple access, commonly referred to as NOMA, has been identified as a viable radio access technique. It employs successive interference cancellation (SIC) as the primary receiver mechanism and utilizes the power domain for user multiplexing on the transmitter side, anticipating advancements in mobile devices. Nonetheless, a substantial segment of the latest research endeavors to evaluate the effectiveness of NOMA on the assumption that the receiver has full SIC capability. This study examines the potential to reconcile the disparity between the theoretical and actual efficacy of successive interference cancellation (SIC) in non-orthogonal multiple access (NOMA) systems by employing multi-input multi-output (MIMO) technology with zero-forcing (ZF) and minimum mean square error (MMSE) SIC methodologies. This document presents the interference-predicted minimum mean square error (IPMMSE) interference cancellation (IC) method, which modifies the MMSE weight factor to accommodate interference signals. Furthermore, they provide a study of the error consequences linked to practical SIC designs. We propose the remaining interference-predicted MMSE (RIPMMSE) interference cancellation as a resolution to the issue of residual interference, based on this premise. On the other hand, the findings of the simulation show that the suggested IC schemes that forecast interference signals outperform NOMA with standard ZF and MMSE IC techniques. This is despite the fact that practical IC schemes produce a higher bit error rate (BER) in comparison to traditional orthogonal multiple access (OMA).

Thapar Institute of Engineering & Technology (IN), Nirma University (IN), Amity University (AE)
Climate action
Openalex Percentile: Top 93%
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.