Approximate ergodic capacity of multiuser massive multiple input multiple output in a Rayleigh fading uplink channel with variance profile

Abstract

Massive MIMO has become a key technology to the next wireless communication generation for its improvement in data rate, link reliability and power consumption; however, these benefits come at the cost of enormous data quantity, especially in the data detection of Massive MIMO uplink. In this paper, we propose a novel matrix inversion to balance the computational complexity and performance by providing selection of the 2-terms Neumann series approximation and the LDL decomposition matrix inversion methods according to different dimensions of the channel matrix. To reduce the hardware resource for two inversion algorithms and execute tasks efficiently, we consider the reconfigurable implementation for its flexibility and high-power efficiency. The implementation results are given by using our Reconfigurable Computing System for various antenna configurations. With this reconfigurable implementation, the throughput can achieve 93.8Mb/s, 130.4Mb/s, 82.2Mb/s and 107.1Mb/s for a 14×4 , 32×4 , 64×8 and 128× 8 system respectively, which are chose to even better than few implementations for high dimension problems.

Ergodic spectral efficiency of massive MIMO with correlated Rician channel and MRC detection based on LS and MMSE channel estimation

“…SE of massive MIMO systems has been mostly investigated for uncorrelated Rayleigh channel in both uplink [12–19] and downlink [19–21]. Among these works, the single‐cell scenario is assumed in [13, 14, 16, 17, 20] and multi‐cell in [12, 15, 18, 19, 21]. SE of maximum ratio combining (MRC) detection is investigated for three cases: perfect CSI [13]; least squares (LS) [12] and minimum mean square error (MMSE) channel estimation [12–14].…”

“…SE of MMSE detection is evaluated in [13] for both perfect CSI and MMSE channel estimation cases. SE of ML detector is approximated for a multi‐cell system in [17] under perfect CSI assumption. In [18], ZF detection is modified to have less inter‐cell interference and, as a result, higher SE in the presence of MMSE channel estimation.…”

Ergodic Spectral Efficiency of Massive MIMO with Correlated Rician Channel and MRC Detection based on LS and MMSE Channel Estimation

“…SE of massive MIMO systems has been mostly investigated for uncorrelated Rayleigh channel in both uplink [7][8][9][10][11][12][13][14] and downlink [14][15][16]. Among these works, the single-cell scenario is assumed in [8,9,11,12,15] and multi-cell in [7,10,13,14,16].…”

Performance analysis of spatially distributed MIMO systems

“…In consequence, analogous to the point-to-point case, it seems appropriate to achieve capacity gains linear to the number of antennas contained in transmit and receive regions. As a result, several works [11][12][13][14][15] studied the instantaneous capacity and the outage probability of spatially distributed MIMO systems subject to antenna elements.…”