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Integrated Communications and Localization for Massive MIMO LEO Satellite Systems
Southeast University, Nanjing, China; Purple Mountain Laboratories, Nanjing, China.
Southeast University, Nanjing, China; Purple Mountain Laboratories, Nanjing, China.
Southeast University, Nanjing, China; Purple Mountain Laboratories, Nanjing, China.
Halmstad University, School of Information Technology. Peng Cheng Laboratory, Shenzhen, China.ORCID iD: 0000-0003-0598-0178
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2024 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 23, no 9, p. 11061-11075Article in journal (Refereed) Published
Abstract [en]

Integrated communications and localization (ICAL) will play an important part in future sixth generation (6G) networks for the realization of Internet of Everything (IoE) to support both global communications and seamless localization. Massive multiple-input multiple-output (MIMO) low earth orbit (LEO) satellite systems have great potential in providing wide coverage with enhanced gains, and thus are strong candidates for realizing ubiquitous ICAL. In this paper, we develop a wideband massive MIMO LEO satellite system to simultaneously support wireless communications and localization operations in the downlink. In particular, we first characterize the signal propagation properties and derive a localization performance bound. Based on these analyses, we focus on the hybrid analog/digital precoding design to achieve high communication capability and localization precision. Numerical results demonstrate that the proposed ICAL scheme supports both the wireless communication and localization operations for typical system setups. © 2024 IEEE. 

Place, publisher, year, edition, pages
Piscataway: IEEE, 2024. Vol. 23, no 9, p. 11061-11075
Keywords [en]
Location awareness, Satellites, Low earth orbit satellites, Massive MIMO, Satellite broadcasting, Precoding, Downlink, Integrated communications and localization, 6G, non-geostationary satellite, LEO satellite, massive MIMO, hybrid precoding, squared position error bound
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-54675DOI: 10.1109/TWC.2024.3378305ISI: 001312963400058Scopus ID: 2-s2.0-85189326183OAI: oai:DiVA.org:hh-54675DiVA, id: diva2:1901507
Available from: 2024-09-27 Created: 2024-09-27 Last updated: 2024-11-12Bibliographically approved

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