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Waveform Design for the Integrated Sensing, Communication, and Simultaneous Wireless Information and Power Transfer
Qilong Miao1, Weimin Shi2, Chenfei Xie3
1School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Sensors (Basel, Switzerland)
|July 13, 2024
Summary
This study introduces a novel integrated system for sensing, communication, and power transfer using cyclic prefix Orthogonal Time Frequency Space (CP-OTFS) signals. The proposed system enhances performance in high-speed scenarios, outperforming traditional methods.
Area of Science:
- Wireless communication engineering
- Signal processing
- Integrated sensing and communication systems
Background:
- Next-generation communication systems require integrated sensing, communication, and power transfer (PT) capabilities.
- Existing systems like Integrated Sensing and Communication Systems (ISACSs), Simultaneous Wireless Information and Power Transfer (SWIPT), and Orthogonal Time Frequency Space (OTFS) offer partial solutions.
- High-speed scenarios present challenges for current communication technologies.
Purpose of the Study:
- To propose a novel framework for integrated simultaneous wireless sensing, communication, and power transfer (ISWSCPTS).
- To enhance sensing capabilities within the ISWSCPTS framework.
- To optimize system performance under Quality of Service (QoS) constraints for communication and PT.
Main Methods:
- Development of a cyclic prefix (CP) OTFS-based ISWSCPTS framework.
- Proposal of a CP-OTFS matched filter (MF)-based target detection and parameter estimation (MF-TDaPE) algorithm for sensing.
- Introduction of a CP-OTFS ambiguity function shaping (AFS) algorithm for waveform design.
- Application of a semidefinite relaxation (SDR) beamforming design (SDR-BD) algorithm to maximize sensing performance under QoS constraints.
Main Results:
- The ISWSCPTS demonstrates superior parameter estimation performance in high-speed scenarios compared to Orthogonal Frequency Division Multiplexing (OFDM).
- Waveforms designed using CP-OTFS AFS exhibit enhanced interference resilience.
- The SDR-BD algorithm effectively balances overall system performance, including sensing, communication, and power transfer.
Conclusions:
- The proposed CP-OTFS-based ISWSCPTS framework effectively integrates sensing, communication, and power transfer.
- The developed algorithms (MF-TDaPE, CP-OTFS AFS, SDR-BD) significantly improve sensing capabilities and overall system performance.
- This integrated approach offers a promising solution for future high-speed wireless communication systems.
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