Smart beamforming for direct leo satellite access of future iot


Por: Caus, M, Perez-Neira, A, Mendez, E

Publicada: 1 ene 2021
Resumen:
Non-terrestrial networks (NTN) are expected to play a key role in extending and complementing terrestrial 5G networks in order to provide services to air, sea, and un-served or under-served areas. This paper focuses the attention on the uplink, where terminals are able to establish a direct link with the NTN at Ka-band. To reduce the collision probability when a large population of terminals is transmitting simultaneously, we propose a grant-free access scheme called resource sharing beamforming access (RSBA). We study RBSA for low Earth orbit (LEO) satellite communications with massive multiple-input multiple-output (MIMO). The idea is to benefit from the spatial diversity to decode multiple overlapped signals. We have devised a blind and open-loop beamforming technique, where neither the receiver must carry out brute-force search in azimuth and elevation, nor are the terminals required to report channel state information. Upon deriving the theoretical throughput, we show that RBSA is appropriate for grant-free access to LEO satellite, it reduces the probability of collision, and thus it increases the number of terminals that can access the media. Practical implementation aspects have been tackled, such as the estimation of the required statistics, and the determination of the number of users. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Filiaciones:
Caus, M:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)/CERCA, Castelldefels, 08860, Spain

Perez-Neira, A:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)/CERCA, Castelldefels, 08860, Spain

 Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona, 08034, Spain

Mendez, E:
 Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona, 08034, Spain
ISSN: 14243210
Editorial
MDPI Multidisciplinary Digital Publishing Institute, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, Suiza
Tipo de documento: Article
Volumen: 21 Número: 14
Páginas:
WOS Id: 000677115100001
ID de PubMed: 34300616
imagen Green Published, gold, All Open Access; Gold Open Access; Green Open Access

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