## 2 Literature Review  
Massive MIMO is being enthusiastically hailed as a critical technique for next generation of wireless communication networks applications such as 5G & 6G. mMIMO is equipped with a large number of antennae at the base station to serve the end-users. mMIMO boasts of improved spectral efficiency and high communication reliability [15; 26]. Amongst features, the ability of OFDM systems to comprehensively interoperate with various modulation techniques makes it the first choice for massive MIMO systems [27]. In the current scenario, massive MIMO systems use OFDM primarily to overcome effects of flat fading channel and multipath propagation [28; 29]. Owing to its robust character and backed by powerful technologies such as OFDM, massive MIMO is bound to be the most sought-after technology for next-generation multi-media data transfer requirements. Analysis of available literature reveals various previous works that have investigated image transmission over OFDM communication systems. For instance, authors in [30] evaluated the bit error ratio (BER) performance of different signal mapping techniques (i.e., QPSK, 16-PSK, and 16-QAM) for an OFDM-based image transmission system over the AWGN channel. Similarly, authors in [25] analyzed the BER performance for another set of signal mapping schemes (i.e., BPSK, QPSK, 16-PSK, and 256-PSK). In [31], authors have implemented an OFDM-based image transmission system on software-defined radios (SDR) and compared the BER performance in the case of different signal mapping schemes (i.e, BPSK, QPSK, 16-PSK, and 256-PSK). Further, authors in [32] compared image transmission with audio and text transmission using BER and mean-square error (MSE) as comparison metrics. In the same context, the BER of different signal mapping schemes in an OFDM-based image transmission system are compared in the Rayleigh and Rician fading channels in [33; 34], respectively. Furthermore, OFDM based image transmission system for an underwater communication channel has been investigated and proposed in [35]. A comparison between FFT-OFDM and DWT-OFDM-based image transmission systems has been presented in [36]. The impact of channel estimation effect on image transmission using OFDM systems has been explained in [37]. The effect of the different channel equalizer types on multi-carrier code-division multiple access (MC-CDMA) based image transmission system was investigated in [38]. It may be further noted here that MC-CDMA is just another version of OFDM in which complex symbols spread throughout all subcarriers in the frequency domain before undergoing IFFT. Another set of research works has been concerned with managing and reducing a chronic issue in OFDM systems: the Peak to Average Power Ratio (PAPR). For instance, the BER assessment of OFDM based image transmission system after using the companding technique for PAPR reduction has been elaborated in [39; 40]. Similarly, [41] evaluated the effect tone reservation (TR) technique for PAPR reduction on the BER assessment of OFDM-based image transmission systems. The effect of reducing the PAPR by using discrete cosine transform (DCT) and DFT precoding techniques on the BER assessment of MC-CDMA-based image transmission system was studied in [42]. In [43], the authors studied the effect of PAPR reduction in visible light communication (VLC) on the BER assessment of OFDM-based image transmission system. The effect of different decoding algorithms on the BER assessment of MIMO-OFDM-based image transmission system has been proposed in [44; 45]. The authors of [3] studied the impact of using combining techniques along with diversity order on the BER of different modulation schemes used for image transmission in MIMO-OFDM systems. In [46; 47], the authors studied the effect of PAPR reduction on BER, MSE, and PSNR of MIMO-OFDM based image transmission system. Finally, the authors of [48] compared FFT and DCT based MIMO-OFDM image communication systems from SSIM, PSNR, and BER points of view.