“…In [22], the inter-cell interference in mitigated by ADR with SBC (Select Best Combining),EGC (Equal Gain Combining) and MRC (Maximum Ratio Combining).In [23],the performance of VLC system for 5G network us-ing Massive MIMO, MIMO OFDM etc is reviewed.In [25], FGIS (Fully Generalized Index Spatial) modulation scheme is proposed to increase spectral efficiency of optical MIMO OFDM system.In [27], spectral efficiency improvement for U-OFDM (unipolar OFDM) with adaptive transmission through realistic VLC links is proposed. In [29], the performance of MIMO modulation schemes is enhanced using imaging receiver with hemispherical and fish-eye lens.Here, the lens provide increased spatial resolution.In [31],the performance of precoding techniques in MIMO VLC systems is analyzed.In [32], authors propose an optical MIMO VLC system based on modified OFDM/OQAM inorder to mitigate IMI (Intrinsic Imaginary Interference).In [35],ZF-SIC (Zero Forcing Suc-cessive Interference Cancellation) receiver with SVD based index precoding is proposed for practical VLC deployments.In [40], authors propose a generalised LED index modulation scheme for MIMO-OFDM VLC system to improve spectral efficiency.In [41], capacity of MIMO-OFDM VLC systems enhanced by OCT (Orthogonal Circulant matrix Transform) precoding and SVD (Singular Value Decomposition) based adaptive loading optimization is proposed.In [43], an extensive survey on research activities and advances in VLC under MU-MIMO (Multi User MIMO), OFDM is provided. In [44], an adaptive transmission for MIMO VLC system by power and bit allocation to enhance capacity is proposed.In [49], realistic indoor visible light channels are proposed in MIMO transmission scenario.Non sequential ray tracing approach for CIR (Channel Impulse Response) is used.In [50], NHS-OFDM (Non Hermitian Symmetry) scheme is investigated for MIMO-VLC systems with imaging and non-imaging receiver.…”