Wireless Data Set Filtering for Reliable High-Capacity Transmission
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Solution Overview
Problem
Existing wireless communication systems face challenges in achieving high transmission reliability, capacity, and rate, particularly in applications such as video transmission, voice transmission, M2M communication, and V2X, due to the increasing demands of modern communication technologies.
Innovation Solution
A data set sending and receiving method involving the acquisition and determination of a data set using parameter threshold groups, implemented in communication apparatuses with acquisition and sending/receiving units, to enhance communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If N samples are transmitted without filtering, then the transmission capacity is maintained, but the transmission reliability deteriorates due to inclusion of low-quality samples
Solution Approach 1:
The patent extracts and removes samples that do not meet quality requirements from the N samples before transmission. By applying parameter threshold groups to filter out low-quality samples and retaining only the M qualified samples, the system ensures high transmission reliability while avoiding the waste of transmission resources on unusable data, thus resolving the contradiction between reliability and capacity.
2Quantity of substance
If all N samples are transmitted, then the data volume is maximized, but the transmission efficiency deteriorates due to processing overhead
Solution Approach 1:
The patent performs preliminary filtering of samples before transmission by evaluating them against parameter threshold groups. This advance action identifies and removes low-quality samples prior to the transmission process, ensuring that only M qualified samples are transmitted. This prevents waste of transmission time and resources on samples that would be discarded anyway, thereby improving transmission efficiency while maintaining adequate data volume.
3Reliability
If parameter threshold filtering is applied to select M samples from N samples, then the transmission reliability is improved, but the system complexity increases
Solution Approach 1:
The patent employs parameter threshold groups to evaluate and filter samples based on specific parameters. By establishing predetermined threshold values for quality parameters and comparing each sample against these thresholds, the system automatically identifies qualified samples without requiring complex processing. This parameter-based filtering approach improves transmission reliability while keeping the system complexity manageable through straightforward comparison operations.
Data Source
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AI summary
Provided in the present disclosure are data set sending and receiving methods, and a communication system, a communication apparatus and a storage medium. The data set sending method comprises: acquiring N samples and K parameter threshold groups; determining a data set from the N samples according to the K parameter threshold groups, wherein the data set comprises M samples, M, N and K being positive integers, and N being greater than or equal to M; and sending the data set.