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Adaptive Beamforming, Cell-Free Resource Allocation and NOMA in Large-Scale Wireless Networks.

Panagiotis Gkonis¹, Spyros Lavdas², George Vardoulias³

¹Department of Digital Industry Technologies, National and Kapodistrian University of Athens, Dirfies Messapies, 34400 Athens, Greece.

Sensors (Basel, Switzerland)

|December 17, 2024

Summary

This study shows adaptive beamforming with non-orthogonal multiple access (NOMA) in cell-free massive MIMO improves key performance indicators for high data rates. It enhances user capacity and resource availability compared to traditional methods.

Keywords:

5G massive MIMO millimeter wave transmission non-orthogonal multiple access system-level simulations

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Area of Science:

Wireless Communications
Signal Processing
Telecommunications Engineering

Background:

Cell-free massive MIMO (CF m-MIMO) offers enhanced spectral efficiency and coverage.
Non-orthogonal multiple access (NOMA) aims to increase the number of users and spectral efficiency.
Cooperative beamforming is crucial for mitigating interference in dense wireless networks.

Purpose of the Study:

To evaluate an adaptive beamforming approach combined with NOMA in CF m-MIMO systems.
To minimize co-channel interference (CCI) among mobile stations (MSs) in NOMA transmissions.
To assess the performance gains against orthogonal multiple access (OMA).

Main Methods:

Implementation of cooperative beamforming among adjacent access points (APs) in a virtual cell.
Statistical performance evaluation using extensive Monte Carlo (MC) simulations.
Analysis of key performance indicators (KPIs) for downlink transmission.

Main Results:

The proposed adaptive beamforming with NOMA significantly improves KPIs for high data rate services.
Achieved improvements include increased minimum number of users and available physical resource blocks (PRBs).
NOMA requires more directional beamforming to manage increased CCI, but hardware gains outweigh costs.

Conclusions:

Adaptive beamforming integrated with NOMA presents a viable strategy for enhancing CF m-MIMO performance.
The approach offers substantial benefits for high data rate applications over OMA.
This technology shows promise for future wireless network capacity and efficiency.