Citation:
Lopez-Morales, M. J., Chen-Hu, K. & Garcia-Armada, A. (2022). Effect of Spatial Correlation on the Performance of Non-coherent Massive MIMO based on DMPSK. In: 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 7-11 Dec. 2021, 6 p.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
European Commission Ministerio de Economía y Competitividad (España)
Sponsor:
This work has received funding from the European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie ETN TeamUp5G, grant agreement No. 813391, and the Spanish National Project TERESA-ADA (TEC2017-90093-C3-2-R) (MINECO/AEI/FEDER, UE).
Project:
Gobierno de España. TEC2017-90093-C3-2-R/TERESA-ADA info:eu-repo/grantAgreement/EC/H2020/813391/TeamUp5G
A rigorous analysis of the effect of spatial corre-lation for non-coherent (NC) massive multiple-input-multiple-output (MIMO) in Rician channels is important to determine its applicability in these scenarios. We conduct such analysis for a single base station A rigorous analysis of the effect of spatial corre-lation for non-coherent (NC) massive multiple-input-multiple-output (MIMO) in Rician channels is important to determine its applicability in these scenarios. We conduct such analysis for a single base station (BS) and a more general case of several BSs, all of them showing correlation among their own antennas but with uncorrelated channels with respect to each other. We first perform an analysis of the distribution of the received symbols, then propose some approximations to give a closed form expression of the symbol error probability (SER) and the signal-to-interference-and-noise-ratio (SINR) as performance measures. Finally, we extract some conclusions from this analysis to show how the combined use of several BSs and larger Rician components can be beneficial in this scenario. Some numerical results are added to confirm the accuracy of the analysis.[+][-]
Description:
Proceedings of: IEEE Global Communications Conference (GLOBECOM), 9-11 December 2021, Madrid.