Channel correlation relied grouped spatial modulation for massive MIMO systems

Abstract

Massive multiple input multiple output (MIMO) systems with hundreds of correlated antennas at base station (BS) are capable of offering abundant spatial resources. When spatial-domain modulation is applied to these systems, the spatial modulation (SM) [1] using only one radio frequency (RF) chain benefits practical implementation, but suffers from significantly reduced multiplexing gain offered by the massive number of antennas. By contrast, the generalized spatial modulation (GSM) [2] allows to simultaneously activate multiple transmit antennas, which improves spatial multiplexing gain, but degrades the achievable error performance, as its design pays no attention to the antenna correlation. In this paper, we propose an antenna grouped spatial modulation (GrSM) scheme, which is capable of circumventing the shortcomings of both the SM and GSM schemes suffered in massive MIMO scenarios. In the proposed GrSM scheme, transmit antennas are partitioned into multiple groups, where the relatively strongly correlated antennas within individual groups are used to implement component SM schemes, while the relatively weakly correlated antennas in different groups are beneficial to obtain multiplexing gain. In order to further improve the spectral efficiency, adaptive modulation (AM) is integrated with GrSM to form the adaptive GrSM (AGrSM). The achievable error and spectral efficiency performance of GrSM and AGrSM systems are investigated based on both mathematical analysis and Monte-Carlo simulations, which are also compared with that of the conventional SM and GSM schemes, when massive MIMO communication scenarios are considered. Our studies and performance results show that GrSM is a promising transmit scheme for massive MIMO, which can outperform both the SM and GSM schemes.

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Identifiers

ORCID for Jiankang Zhang: orcid.org/0000-0001-5316-1711

ORCID for Lieliang Yang: orcid.org/0000-0002-2032-9327

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