Work

LoCoNOMA: A grant-free resource allocation for massive MTC

Year: 2024

Type: article

Abstract: Massive machine-type communications (mMTC) represent a significant challenge in the fifth generation of wireless networks (5G) and become increasingly critical in the sixth generation (6G) due to the limited frequency spectrum. Addressing the demands of mMTC requires efficient resource sharing among multiple users. Integrating Grant-Free (GF) access with Non-Orthogonal Multiple Access (NOMA) is a promising strategy to improve spectral efficiency . However, it may cause additional interference and complexity at the gNodeB (gNB) side. To mitigate these issues, we propose a novel, low-complexity GF-NOMA framework for joint power and channel allocation, where devices autonomously select their sub-carriers and power levels in a fully distributed manner. Besides, the gNB’s role is limited to sending a global feedback for device coordination. The proposed technique has been validated analytically and through simulation, demonstrating superior performance compared to existing approaches, in particular for the massive access scenario.

Source: Computer Networks

DOI: 10.1016/j.comnet.2024.110859

Authors: Ibtissem Oueslati, Oussama Habachi, Jean-Pierre Cances, Vahid Meghdadi

Institutions: XLIM, Université de Limoges, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes

Language: English

Topic: IoT Networks and Protocols

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,390