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To suppress co-channel interference and achieve good system performance in a Multi-User Multiple Input Multiple Output (MU-MIMO) downlink network, we introduce a novel Interference Alignment (IA) receive matrix design methodology along with a low complexity iterative coordinated beamforming scheme. The introduced scheme takes into account the codebook-based feedback for LTE/LTE-Advanced systems. In...
Adaptive blind MIMO equalization algorithm adopting decision feedback recurrent neural network(DFRNN) is proposed and investigated in 4 × 56 Gbit/s MDM-QPSK system. The required-data-length of DFRNN is 1/3 of that in CMA with similar performance.
Coordinated Multi-Point transmission (CoMP) has been recognized as one of the most promising technologies in the 4th generation (4G) cellular systems. It can significantly increase the spectral efficiency by combining the data from different eNBs. However, the benefits come at the cost of the increased feedback overhead. In the downlink frequency division duplex (FDD) systems, UEs need to feedback...
In this study, an enhanced chip-level linear equalizer is proposed for multiple-input multiple-out (MIMO) multi-code code-division multiple access (CDMA) systems in space-time transmit diversity (STTD) mode. By retaining inter-antenna interference (IAI) within the equalized signal in an optimized manner, the signal-to-noise ratio (SNR) of the STTD combiner output is maximized. Substantial performance...
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