Multi-User Massive MIMO System with Adaptive Antenna Grouping for Beyond 5G Communication Network

Semi-Blind Channel Estimation based on subspace modeling for Multi-user Massive MIMO system

‎Channel estimation is an essential task to fully exploit the advantages of the massive MIMO systems‎. ‎In this paper‎, ‎we propose a semi-blind downlink channel estimation method for massive MIMO system‎. ‎We suggest a new modeling for the channel matrix subspace. Based on the low-rankness property, we have prposed an algorithm to estimate the channel matrix subspace. In the next step, using o...

Massive MIMO for 5G

Massive MIMO is the currently most compelling sub-6 GHz physical-layer technology for future wireless access. The main concept is to use large antenna arrays at base stations to simultaneously serve many autonomous terminals, as illustrated in Figure 1. The rich and unique propagation signatures of the terminals are exploited with smart processing at the array to achieve superior capacity. Mass...

Compact massive MIMO antenna array for small 5G base stations

Adaptive selection of antenna grouping and beamforming for MIMO systems

Antenna grouping algorithms are hybrids of transmit beamforming and spatial multiplexing. With antenna grouping, we can achieve combining gain through transmit beamforming, and high spectral efficiency through spatial multiplexing. In an independent identically distributed channel, the antenna grouping method has better bit error rate (BER) performance than the beamforming method. However, if t...

Hybrid Beamforming with Selection for Multi-user Massive MIMO Systems

This work studies a variant of hybrid beamforming, namely, hybrid beamforming with selection (HBwS), as an attractive solution to reduce the hardware cost of multi-user Massive Multiple-InputMultiple-Output systems, while retaining good performance. In a transceiver with HBwS, the antenna array is fed by an analogue beamforming matrix with L input ports. Unlike conventional hybrid beamforming, ...