Adaptive MFSK Waveform Design for Multi-Target ISAC
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing spectrum usage and reducing interference between sensing and communication transmissions, particularly in scenarios with multiple devices and periodic sensing applications.
Innovation Solution
The proposed solution involves transmitting and receiving joint sensing and communication (JSC) signals using waveforms with discrete steps of chirps in specific frequency ranges, where each step of the JSC signal combines one step from each of the two signals, and a discrete step is associated with at least one bit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate sensing and communication transmissions are used, then sensing accuracy is improved, but spectrum efficiency deteriorates due to increased interference and resource allocation overhead
Solution Approach 1:
The patent combines sensing and communication transmissions into a single joint transmission signal. The transmitting device generates a joint signal that simultaneously carries both sensing information and communication data, eliminating the need for separate transmissions. This merging approach reduces spectrum usage while maintaining sensing accuracy through integrated signal processing and reception.
2Area of stationary object
If multiple devices perform periodic sensing transmissions, then sensing coverage is improved, but interference between devices increases
Solution Approach 1:
The patent implements a coordination mechanism where devices predict future sensing transmissions of other devices based on historical patterns. This preliminary knowledge allows devices to schedule their communications and sensing transmissions to avoid overlapping, thereby reducing interference while maintaining comprehensive sensing coverage across the network.
3Adaptability or versatility
If spectrum occupancy prediction is implemented, then dynamic spectrum access is improved, but computational complexity increases
Solution Approach 1:
The patent uses lightweight machine learning models that replicate simple prediction patterns rather than performing complex real-time analysis. The devices maintain local copies of predicted spectrum occupancy patterns based on historical data, enabling rapid decision-making for dynamic spectrum access without requiring heavy computational resources for complex calculations.
Data Source
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AI summary
Some embodiments in the present disclosure relate to transmitting and/or receiving of a joint communication and sensing (JSC) signal. A first waveform for a first signal is obtained, wherein the first waveform includes two or more discrete steps of a chirp in a first frequency range. A second waveform for a second signal is obtained, wherein the second waveform includes two or more discrete steps of a chirp in a second frequency range. A JSC signal is transmitted, which is based on the first signal having the first waveform and the second signal having the second waveform. The JSC signal includes steps, wherein each step of the JSC signal includes one step out of the discrete steps of the first signal having the first waveform and one step out of the discrete steps of the second signal having the second waveform, and in the JSC signal, a discrete step out of the first signal or a discrete step out of the second signal is associated with at least one bit.