A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method

Smart hospitals have enormous potential to improve global standards of medical services. Integrating fifth‐generation (5G) and beyond 5G radio with the present healthcare framework can make hospitals smarter. High spectral access, data rate, capacity, low latency, and large data handling are requirements of innovative hospitals. The advanced waveform in the physical layer should be designed considering the requirements and its deployment in high‐speed applications, such as trains, vehicles, and aircraft. Orthogonal time‐frequency selective (OTFS) waveforms have enormous potential to satisfy the demands of intelligent hospitals and provide excellent performance in high‐speed environments. The deployment of OTFS in the B5G framework can boost the performance of healthcare structures. However, the high peak‐to‐average power ratio (PAPR) in OTFS is considered a severe issue that can degrade the power performance of smart hospital‐based advanced radio frameworks. In this study, we propose a Cuckoo search (CS) partial transmission sequence (PTS) genetic algorithm known as PTS + CS to reduce the PAPR of the OTFS waveform under the Rician and Rayleigh channels with 256 subcarriers. The CS generates an optimal phase factor for the PTS, weighted with OTFS symbols, and lowers the PAPR of the framework. Parameters such as the PAPR, bit error rate (BER), power spectral density (PSD), and power performance of the OTFS were studied and analyzed for the conventional and PTS + CS approaches. The results revealed that the proposed PTS + CS obtained significant PAPR and PSD performance while retaining the BER of the framework. The optimal PAPR, BER, PSD, and power‐saving performance of the advanced radio enhance the quality of the B5G‐based intelligent healthcare system.