Cell partitioned M-QAM for semi-blind uplink interference suppression on multicell massive MIMO systems

Abstract

This letter adopts higher-order modulation scheme than 16QAM to our previously proposed semi-blind uplink interference suppression scheme for multicell multiuser massive MIMO systems. Our semi-blind approach is attained by the decision feedback channel estimation (DFCE) and the sample matrix inversion (SMI) spatial adaptive filtering. However, its efficiency depended on inter-cell interference (ICI), in particular for higher-order QAM. We propose to employ cell partitioning-based M-ary QAM to avoid ICI at the initial condition and verify overall spectral efficiency improvement.

Comprehensive Survey of Research on Emerging Communication Technologies from ICETC2020

“…4.1 [25], [49]- [52], [134], [137], [146]- [149] MIMO and beamforming 4.2 [27], [36], [42], [43], [126]- [128], [157], [158], [161], [164], [165] Spectrum sharing and access 4.3 [26], [29], [34], [37], [44], [133], [140], [141], [159], [163] Coding and decoding 4.4 [145], [151]- [153], [155] Wireless technology and application 4.5 [24], [31], [32], [59], [61], [125], [130], [136] [139], [142]- [144], [150] Modulation and multiplexing 4.6 [28], [41], [62], [135], [138], [154]<...>…”

“…In contrast, [161] expanded an analytical formulation of maximal ratio transmission (MRT) precoding by modifying the power distribution of the inter-user interference (IUI) power distribution, while [164] proposed a precoding scheme based on the iterative approximation approach that exploits simple equal gain transmission and IUI cancellation components. A semiblind interference suppression in which a higher-order modulation is adapted on multi-cell massive MIMO uplink was presented in [158], and user scheduling with beam selection based on IUI for massive MIMO systems was proposed in [165]. [157] verified the accuracy of messages passed from observation nodes for Gaussian belief propagation (GaBP) in a massive MIMO detection factor graph.…”