Peak to Average Power Ratio Reduction in UFMC System Using Pre -Coding and Nonlinear Companding Techniques

Abstract

Universal Filtered Multi-Carrier (UFMC) is a versatile fifth-generation communication technology that can be utilized in Internet of Things and Machine-to- Machine (M2M) communication to enhance connectivity and efficiency because of its spectral efficiency, low power consumption, reliability, and flexibility. The Internet of Things and Machine-to-Machine (M2M) communication enable devices to talk to each other, gather data, and make the world smarter and more efficient. However, the drawback of UFMC systems is they exhibit a very high peak -to-average-power-ratio which causes system Lower and latency on communication. Therefore, to lower the high peak -to-average-power-ratio of the UFMC system, this project proposes an efficient hybrid PAPR reduction approach that combines both non-linear companding techniques and precoding techniques. Key Words: Peak-to-average power ratio (PAPR), Hybrid PAPR reduction Techniques, Precoding Techniques, Non- Linear Companding Techniques (NCLTs), Universal Filtered Multi-Carrier (UFMC).