OFDM Compressed Signal Spreading for Noisy High-Frequency Links
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Solution Overview
Problem
Existing wireless communication systems face challenges in transmitting signals robustly in high-frequency bands due to internal noise and phase noise, which degrade reception accuracy and efficiency.
Innovation Solution
A method involving signal compression and spreading across multiple dimensions, followed by multiplexing with other signals using OFDM, along with channel information feedback for reconstruction, to enhance noise resilience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If signals are transmitted in high-frequency bands to achieve higher data rates, then data transmission rate is improved, but internal noise and phase noise increase causing degradation of reception accuracy
Solution Approach 1:
The patent applies compressive sensing to transform the signal representation from the time-frequency domain to a compressed sparse domain. By representing signals in a different dimensional space where they exhibit sparsity, the system can reconstruct accurate signals even when transmitted through noisy high-frequency channels. This dimensional transformation allows separation of signal information from noise, resolving the contradiction between high data rate transmission and reception accuracy.
2Productivity
If compression is applied to increase data transmission efficiency, then productivity is improved, but signal reconstruction accuracy may deteriorate in noisy environments
Solution Approach 1:
The patent performs preliminary compression of the signal before transmission using compressive sensing techniques. By pre-compressing the signal into a sparse representation and transmitting only the essential compressed coefficients, the system achieves high transmission efficiency. The receiver then reconstructs the original signal from these compressed coefficients, and the preliminary compression action enables robust reconstruction even in noisy environments by focusing on the most significant signal components.
Solution Approach 2:
The patent implements iterative reconstruction algorithms that use feedback from the received signal to progressively improve signal recovery. The receiver repeatedly refines the signal reconstruction by comparing the reconstructed signal with the received compressed measurements and adjusting the reconstruction accordingly. This feedback mechanism ensures high reconstruction accuracy despite the compressed nature of the transmitted data and the presence of noise.
Data Source
AI summary
The present disclosure relates to a communication technique that merges IoT technology with a 5G communication system for supporting higher data transmission rates than 4G systems, and a system therefor. The present disclosure may be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail business, security and safety-related services, etc.) on the basis of 5G communication technology and IoT-related technology. A method for a transmitter of a communication system according to the present disclosure is characterized by: transmitting configuration information for signal transmission to a receiver, checking resources for the signal transmission; transmitting scheduling information indicating the resources to the receiver; converting a transmission signal to a compressed signal so as to correspond to the configuration information; spreading the compressed signal to multiple dimensions; mapping a portion of the spread compressed signal to the resources corresponding to the scheduling information; converting the spread compressed signal to generate an orthogonal frequency-division multiplexing (OFDM) signal; and transmitting the generated OFDM signal to the receiver.