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Pavia, J. P., Velez, V., Brogueira, B., Souto, N. & Correia, A. (2020). Precoded generalized spatial modulation for downlink MIMO transmissions in beyond 5G networks. Applied Sciences. 10 (18)

J. P. Pavia et al.,  "Precoded generalized spatial modulation for downlink MIMO transmissions in beyond 5G networks", in Applied Sciences, vol. 10, no. 18, 2020

@article{pavia2020_1715068617911,
	author = "Pavia, J. P. and Velez, V. and Brogueira, B. and Souto, N. and Correia, A.",
	title = "Precoded generalized spatial modulation for downlink MIMO transmissions in beyond 5G networks",
	journal = "Applied Sciences",
	year = "2020",
	volume = "10",
	number = "18",
	doi = "10.3390/app10186617",
	url = "https://www.mdpi.com/journal/applsci"
}

TY  - JOUR
TI  - Precoded generalized spatial modulation for downlink MIMO transmissions in beyond 5G networks
T2  - Applied Sciences
VL  - 10
IS  - 18
AU  - Pavia, J. P.
AU  - Velez, V.
AU  - Brogueira, B.
AU  - Souto, N.
AU  - Correia, A.
PY  - 2020
SN  - 2076-3417
DO  - 10.3390/app10186617
UR  - https://www.mdpi.com/journal/applsci
AB  - 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%.
ER  -