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Author(s): Pavia, J. P.
Velez, V.
Brogueira, B.
Souto, N.
Correia, A.
Date: 2020
Title: Precoded generalized spatial modulation for downlink MIMO transmissions in beyond 5G networks
Volume: 10
Number: 18
ISSN: 2076-3417
DOI (Digital Object Identifier): 10.3390/app10186617
Keywords: B5G
Generalized Spatial Modulation (GSM)
Precoder design
Massive Multiple Input Multiple Output (MIMO)
Quadrature Amplitude Modulation (QAM) constellations
Abstract: The design of multiple input multiple output (MIMO) schemes capable of achieving both high spectral and energy efficiency constitutes a challenge for next-generation wireless networks. MIMO schemes based on generalized spatial modulations (GSM) have been widely considered as a powerful technique to achieve that purpose. In this paper, a multi-user (MU) GSM MIMO system is proposed, which relies on the transmission of precoded symbols from a base station to multiple receivers. The precoder’s design is focused on the removal of the interference between users and allows the application of single-user GSM detection at the receivers, which is accomplished using a low-complexity iterative algorithm. Link level and system level simulations of a cloud radio access network (C-RAN) comprising several radio remote units (RRUs) were run in order to evaluate the performance of the proposed solution. Simulation results show that the proposed GSM MU-MIMO approach can exploit efficiently a large number of antennas deployed at the transmitter. Moreover, it can also provide large gains when compared to conventional MU-MIMO schemes with identical spectral efficiencies. In fact, regarding the simulated C-RAN scenario with perfect channel estimation, system level results showed potential gains of up to 155% and 139% in throughput and coverage, respectively, compared to traditional cellular networks. The introduction of imperfect channel estimation reduces the throughput gain to 125%.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:IT-RI - Artigos em revistas científicas internacionais com arbitragem científica

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