Work

Efficient beamforming training scheme using NOMA in mmWave WLANs

Year: 2025

Type: article

Abstract: Beamforming training (BFT) is a critical process for establishing directional links in millimeter-wave (mmWave) wireless local area networks. However, its performance significantly degrades due to frequent slot collisions. This paper proposes a non-orthogonal multiple access (NOMA)-based exhaustive search (NES) scheme, which allows multiple stations (STAs) to perform BFT concurrently by independently selecting predefined transmit power levels. We integrated the NOMA-based technique into a time-based beam collision avoidance (TBCA) scheme, named NOMA-TBCA (NTBCA). The proposed NES and NTBCA schemes are analytically modeled and evaluated through simulations. The results confirm that the combined approach effectively enhances the association probability and the throughput.

Source: ICT Express

DOI: 10.1016/j.icte.2025.11.003

Authors: Seonjoo Choi, Hoki Baek, Jaesung Lim

Institutions: Ajou University, Kyungpook National University

Language: English

Topic: Millimeter-Wave Propagation and Modeling

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,500