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Blind Asynchronous Goal-Oriented Detection for Massive Connectivity
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Teknisk informationsvetenskap.ORCID-id: 0000-0001-6866-6595
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Nätverk och systemteknik.ORCID-id: 0000-0003-4519-9204
Communication Systems Department, EURECOM, 06410 Sophia Antipolis, France.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Teknisk informationsvetenskap.ORCID-id: 0000-0002-7926-5081
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2023 (Engelska)Ingår i: 2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023, Institute of Electrical and Electronics Engineers Inc. , 2023, s. 167-174Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Resource allocation and multiple access schemes are instrumental for the success of communication networks, which facilitate seamless wireless connectivity among a growing population of uncoordinated and non-synchronized users. In this paper, we present a novel random access scheme that addresses one of the most severe barriers of current strategies to achieve massive connectivity and ultra reliable and low latency communications for 6G. The proposed scheme utilizes wireless channels’ angular continuous group-sparsity feature to provide low latency, high reliability, and massive access features in the face of limited time-bandwidth resources, asynchronous transmissions, and preamble errors. Specifically, a reconstruction-free goal oriented optimization problem is proposed which preserves the angular information of active devices and is then complemented by a clustering algorithm to assign active users to specific groups. This allows to identify active stationary devices according to their line of sight angles. Additionally, for mobile devices, an alternating minimization algorithm is proposed to recover their preamble, data, and channel gains simultaneously, enabling the identification of active mobile users. Simulation results show that the proposed algorithm provides excellent performance and supports a massive number of devices. Moreover, the performance of the proposed scheme is independent of the total number of devices, distinguishing it from other random access schemes. The proposed method provides a unified solution to meet the requirements of machine-type communications and ultra reliable and low latency communications, making it an important contribution to the emerging 6G networks.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers Inc. , 2023. s. 167-174
Nyckelord [en]
atomic norm minimization, goal-oriented optimization, Internet of Things, MIMO communications systems, Random access, reconstruction-free inference
Nationell ämneskategori
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Identifikatorer
URN: urn:nbn:se:kth:diva-343751DOI: 10.23919/WiOpt58741.2023.10349818Scopus ID: 2-s2.0-85184668805OAI: oai:DiVA.org:kth-343751DiVA, id: diva2:1839946
Konferens
21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023, Singapore, Singapore, Aug 24 2023 - Aug 27 2023
Anmärkning

QC 20240222

Part of ISBN 978-390317655-3

Tillgänglig från: 2024-02-22 Skapad: 2024-02-22 Senast uppdaterad: 2024-02-22Bibliografiskt granskad

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Daei, SajadRazavikia, SaeedSkoglund, MikaelFodor, GaborFischione, Carlo

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