## 1 Introduction
In [13], the authors proposed a 25 GHz mm-wave over an SSMF system using OFDM which comprises a dual-wavelength source and 20 km of SSMF link, and the authors investigated the nonlinearities related to the MZM (Mach-Zehnder Modulator), amplifier and various other noise sources. In [14], a spurious-free dynamic range (SFDR) amplification strategy based on single side band (SSB) phase modulation was proposed and experimentally demonstrated. The polarization states entering into the phase modulator and the polarizer would eliminate the dispersion and nonlinearity of the modulation used. Three different linearization technologies for RoF transmissions'\(\backslash\)outpresented and compared in [15]. For RoF transmission, a baseband digital linearization technique without any digital-to-analog converter (DAC) and analog-to-digital converter (ADC) may be propitious. In [16], the authors designed a specific cascaded LMS equalizer for a 60 GHz mm-wave RoF system, and the experimental results showed the transmission of a 5 Gbps binary phase shift keying (BPSK) signal for 10 km of SSMF and a 1.5 m wireless link. A cost-effective RoF network consisting of 850-nm Single Mode Vertical Cavity Surface Emitting Lasers (VCSEL) and SSMF was proposed in [17], achieving a data throughput of 134.4 Mbit/s up to a distance of 1.5 km using the 256 QAM modulation format. The authors in [18] presented the transmission of a 20 MHz long-term evolution (LTE) signal over a 70 Km SSMF link for wireless signal transmission with a 64 QAM modulation format, and the performance was compared with a conventional A-RoF system. [PERSON] et al., in [19], experimentally demonstrated a variable step size LMS equalizer in a 60 GHz RoF system with a data rate of 5 Gbit/s employing a BPSK modulation scheme. Moreover, a digital predistortion (DPD) technique on RoF links consisting of VCSEL and SSMF for LTE scenarios was used in [20]. The performance of the DPD was measured from varying input power levels, while in [21] a neural network (NN)-based DPD technique was demonstrated in order to overcome the signal impairments and nonlinearitiesin A-RoF systems. In [22], a modified constant modulus algorithm (MCMA) was introduced in order to minimize the absolute difference between the generalized function of the equalizer output and the source symbols; in [23], a joint equalization algorithm which consisted of the Decision-Directed Least Mean Square(DD-LMS) and Modified Constant Modulus Algorithms (MCMA) was used to provide Inter-Symbol-Interference (ISI) at the receiving end. Finally, in [24], a blind nonlinear compensator was employed, which was ingrained in the constant modulus algorithm for the compensation distance of 4000 km using erbium-doped fiber amplifiers (EDFAs) after every fiber span of 50 km. The techniques suggested above to neutralize dispersion mostly consisted of expensive equipment, which increased the total system budget and intricacy, and the employed algorithms were complex. In this research work, we design a converged 5G mm-wave 60 GHz A-RoF system in a popular commercial VPI Photonics Transmission Design SuiteTM [25], employing OFDM with QPSK and 16 QAM in the subcarriers. Table 1 gives the different methods discussed in the literature review in order to provide the dispersion and nonlinearities in converged mm-wave OFDM A-RoF systems. Although higher-order modulation formats could provide a higher bandwidth, they reduce the robustness of the system because the data is more sensitive to noise and interference, as the receiver must accurately detect more distinct phases and amplitudes with very small differences [26]. The transmission link in this proposed simulation consists of an SSMF with 17 ps/nm/km dispersion. In order to compensate for the channel-dispersive properties, Digital Signal Processing (DSP) is carried out in Matlab [27].