Abstract
The rapid growth in the communication industry resulted in the formation of 5G (Fifth Generation) networks which made the interaction between humans, machines, and devices much easier and more consistent. The main aim of the 5G wireless communication system is to provide high reliability, low latency, faster data rates, and high network capacity around the base stations. In order for 5G wireless communication technologies to accomplish all of these objectives, advanced modulation techniques need to be used. In this work, we provide a summary of modulation techniques: OFDM (Orthogonal Frequency Division Multiplexing), FBMC (Filter Bank Multi-carrier), GFDM (Generalized Frequency Division Multiplexing), UFMC (Universal Filtered Multi-Carrier Modulation) and QPSK (Quadrature Phase Shift Keying). OFDM is a digital modulation technique that divides the available bandwidth into multiple subcarriers and modulates each subcarrier independently. FBMC is also similar to OFDM, but it uses filter banks to divide the available bandwidth into subcarriers. GFDM when combined with OFDM, an emerging kind of 5G carrier waveform candidates, nicely satisfies the requirements of 5G applications. In contrast, UFMC is a type of orthogonal frequency division multiplexing that uses a filter bank to shape the transmit and receive signals. QPSK provides good spectral efficiency while maintaining reasonable performance in noisy environments. In addition, we have introduced a novel modulation technique called RF-OFDM (Refined Filtered-OFDM) to address the shortcomings of the current modulation techniques. With a unique filter that outperforms previously used filters, RF-OFDM produces output with much higher quality. The properties of the modulation schemes are compared, including their Bandwidth Efficiency, Spectral Efficiency, Power Efficiency, Power Spectral Density (PSD), Bit Error Rate (BER), Transmitted Power, Peak Average Power Ratio (PAPR), Latency, Signal to Noise Ratio (SNR) and Frequency Range. Based on the performance metrics each modulation technique has been evaluated. Current state-of-the-art methods have been surpassed in performance by the suggested modulation approach.