Waveform Design for the Integrated Sensing, Communication, and Simultaneous Wireless Information and Power Transfer System

Qilong Miao; Weimin Shi; Chenfei Xie; Yong Gao; Lu Chen

doi:10.3390/s24134129

Sensors (Jun 2024)

Waveform Design for the Integrated Sensing, Communication, and Simultaneous Wireless Information and Power Transfer System

Qilong Miao,
Weimin Shi,
Chenfei Xie,
Yong Gao,
Lu Chen

Affiliations

Qilong Miao: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Weimin Shi: School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
Chenfei Xie: National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu 611731, China
Yong Gao: School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Lu Chen: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China

DOI: https://doi.org/10.3390/s24134129
Journal volume & issue: Vol. 24, no. 13
p. 4129

Abstract

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Next-generation communication systems demand the integration of sensing, communication, and power transfer (PT) capabilities, requiring high spectral efficiency, energy efficiency, and low cost while also necessitating robustness in high-speed scenarios. Integrated sensing and communication systems (ISACSs) exhibit the ability to simultaneously perform communication and sensing tasks using a single RF signal, while simultaneous wireless information and power transfer (SWIPT) systems can handle simultaneous information and energy transmission, and orthogonal time frequency space (OTFS) signals are adept at handling high Doppler scenarios. Combining the advantages of these three technologies, a novel cyclic prefix (CP) OTFS-based integrated simultaneous wireless sensing, communication, and power transfer system (ISWSCPTS) framework is proposed in this work. Within the ISWSCPTS, the CP-OTFS matched filter (MF)-based target detection and parameter estimation (MF-TDaPE) algorithm is proposed to endow the system with sensing capabilities. To enhance the system’s sensing capability, a waveform design algorithm based on CP-OTFS ambiguity function shaping (AFS) is proposed, which is solved by an iterative method. Furthermore, to maximize the system’s sensing performance under communication and PT quality of service (QoS) constraints, a semidefinite relaxation (SDR) beamforming design (SDR-BD) algorithm is proposed, which is solved using through the SDR technique. The simulation results demonstrate that the ISWSCPTS exhibits stronger parameter estimation performance in high-speed scenarios compared to orthogonal frequency division multiplexing (OFDM), the waveform designed by CP-OTFS AFS demonstrates superior interference resilience, and the beamforming designed by SDR-BD strikes a balance in the overall performance of the ISWSCPTS.

Published in Sensors

ISSN: 1424-8220 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Chemical technology
Website: http://www.mdpi.com/journal/sensors

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