Beamforming Based on a SSS Angle Estimation Algorithm for 5G NR Networks

Daniel Andrade (), Roberto Magueta, Adão Silva and Paulo Marques
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Daniel Andrade: Instituto de Telecomunicações (IT) and Departamento de Eletrónica, Telecomunicações e Informática (DETI), University of Aveiro, 3810-193 Aveiro, Portugal
Roberto Magueta: Allbesmart LDA, Avenida do Empresário, Centro de Empresas Inovadoras 1, 6000-767 Castelo Branco, Portugal
Adão Silva: Instituto de Telecomunicações (IT) and Departamento de Eletrónica, Telecomunicações e Informática (DETI), University of Aveiro, 3810-193 Aveiro, Portugal
Paulo Marques: Allbesmart LDA, Avenida do Empresário, Centro de Empresas Inovadoras 1, 6000-767 Castelo Branco, Portugal

Future Internet, 2023, vol. 15, issue 3, 1-15

Abstract: The current 5G-NR standard includes the transmission of multiple synchronization signal blocks (SSBs) in different directions to be exploited in beamforming techniques. However, choosing a pair of these beams leads to performance degradation, mainly for the cases where the transmit and receive beams are not aligned, because it considers that only few fixed directions among wide beams are established. Therefore, in this article, we design a new 3GPP-standard- compliant beam pair selection algorithm based on secondary synchronization signal (SSS) angle estimation (BSAE) that makes use of multiple synchronization signal blocks (SSBs) to maximize the reference signal received power (RSRP) value at the receiver. This optimization is performed using the SSSs present in each SSB to perform channel estimation in the digital domain. Afterwards, the combination of those estimations is used to perform equivalent channel propagation matrix estimation without the analog processing effects. Finally, through the estimated channel propagation matrix, the angle that maximizes the RSRP is determined to compute the most suitable beam. The proposed algorithm was evaluated and compared with a conventional beam pair selection algorithm. Ours has better performance results. Furthermore, the proposed algorithm achieved performance close to the optimal performance, where all channel state information (CSI) is available, emphasizing the interest of the proposed approach for practical 5G mmWave mMIMO implementations.

Keywords: 5G; NR; 3GPP; massive MIMO; millimeter-wave communications; OFDM; PHY; RAN; beamforming; initial access; beam management (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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