Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

8Analysis of Peak-to-Average Power Ratio in OFDM Systems Using Cognitive Radio Technology

Udayakumar Easwaran¹*, Poongodi Palaniswamy¹ and Vetrivelan Ponnusamy²

¹ Dept. of ECE, KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore, Tamilnadu, India

² Dept. of ECE, PSG Institute of Technology and Applied Research, Coimbatore, Tamilnadu, India

Abstract

Cognitive radio is a wireless intelligent system that has an altering parameter of radio activity through sensing. It is able to learn and adjust the wireless transmission as indicated by the encompassing radio environment through a physical layer (PHY). This radio framework has a bit of leeway of utilizing a frequency band in an authorized way. OFDM is a multicarrier regulation procedure utilized in many propelled telecommunication, remote, and broadcasting norms. OFDM is viewed as muddled as different flag, yet additionally it has high information rate transmissions with generally wide transfer speeds. CR is utilized to diminish the ISI through spectrum detecting. For the most part, OFDM-based cognitive radio spectrum gives a higher peak-to-average power ratio, slow information transmission, and huge side flaps. The significant disservice incorporated into OFDM sign is peak-to-average power ratio (PAPR), which is of higher level and has complex to carrier balance. Subsequently the decrease systems of high PAPR is numerous to resolve and it is future challenge benchmarks. The principal purpose behind lessening PAPR is to ...