Work

Joint Delay And User Activity Detection in Asynchronous Massive Access

Year: 2024

Type: conference-paper

Abstract: Massive access plays an important role in establishing future 6G networks. In an asynchronous massive multiple-access channel (MAC) where user activities and channel delays are unknown, it is critical to detect and estimate them in order to ensure reliable data transmission. Even in asynchronous unsourced MAC, a promising data transmission scheme for massive MAC, this information is also crucial. In this paper, we propose a tropical-arithmetic method for a joint delay and user activity detection, which can support a massive number of users with only a few orthogonal wireless resources. A necessary condition for the maximum path delay to ensure correct detection is also identified. Simulation results verify that our designs have zero detection errors even when the number of users scales quadratically with the number of orthogonal resources.

Source: Wireless and Optical Communications Conference

DOI: 10.1109/wocc61718.2024.10786075

Authors: Sertac Derya, Shih-Chen Yu, Hsu-Wen Young, Eduard A. Jorswieck, Pin-Hsun Lin, Shih-Chun Lin

Institutions: Bilkent University, National Taiwan University, Chung Yuan Christian University, Technische Universität Braunschweig

Language: English

Topic: Distributed Sensor Networks and Detection Algorithms

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Taiwan University

Award: G7111183608