Waveform Design for Integrated Sensing Communication Computation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data processing systems face inefficiencies due to separate design of data sensing, transmission, and computation, leading to competition for spectrum resources and low resource utilization efficiency in integrated sensing and communication technologies.
Innovation Solution
A waveform design method for an integrated communication, sensing, and computation system that uses beamforming to optimize signal transmission, minimizing standard deviation and covariance matrix calculations to adjust both transmitter and receiver antennas, thereby improving over-the-air computation accuracy and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If separate design of data sensing, transmission and computation is used, then each function can be independently optimized, but spectrum resource competition increases and resource utilization efficiency decreases
Solution Approach 1:
The patent merges sensing, communication, and computation functions into a unified waveform design framework. The transmitted signal is designed to simultaneously carry sensing information, communication data, and enable over-the-air computation, eliminating the need for separate signal designs and reducing spectrum resource competition.
Solution Approach 2:
The patent creates a universal signal waveform that performs multiple functions simultaneously. The same transmitted signal is used for target sensing, data communication, and enabling computation at the receiving end through over-the-air computation, making the system more resource-efficient.
2Productivity
If integrated sensing and communication technology is used, then spectral efficiency is improved, but sensing accuracy and computation accuracy are not simultaneously optimized
Solution Approach 1:
The patent optimizes waveform parameters such as signal amplitude, phase, and duration to simultaneously satisfy sensing accuracy requirements and computation accuracy requirements. By carefully adjusting these parameters, the system achieves high spectral efficiency while maintaining both sensing and computation performance.
Solution Approach 2:
The patent performs preliminary waveform design and optimization before actual signal transmission. The transmitted signal is pre-designed to embed both sensing information and communication data in a way that enables accurate target detection and precise over-the-air computation, avoiding the need for post-processing corrections.
3Measurement precision
If beamforming optimization is performed for both transmitter and receiver, then over-the-air computation accuracy is improved, but system complexity increases
Solution Approach 1:
The patent divides the beamforming optimization into separate transmitter-side and receiver-side components. The transmitting beamformer and receiving beamformer are independently optimized based on their respective functions, making the overall system more manageable while achieving high computation accuracy.
Solution Approach 2:
The patent employs feedback mechanisms where the receiving beamformer uses channel state information and computation results to adjust its beamforming weights, and the transmitting beamformer similarly adapts based on received feedback. This iterative optimization improves computation accuracy while keeping each component's complexity manageable.
Data Source
AI summary
A waveform design method, an integrated communication, sensing and computation system, and a related device are disclosed. The waveform design method includes: constructing a first constraint condition related to a receiving beamformer and two restrictive conditions related to a transmitting beamformer; constructing a first optimization condition set and a second optimization condition set according to the first constraint condition and the different restrictive conditions; solving the first optimization condition set and the second optimization condition set respectively in different operating modes, so that optimization values for the receiving beamformer and the transmitting beamformer in the different operating modes can be obtained, and a transmitted waveform can be designed according to the optimization values.