Multi-Layer Data Transmission Under Statistical Interference
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Solution Overview
Problem
In mobile communication systems, especially in Grant-free contention-based mechanisms, accurately knowing all interferences is challenging, which hinders optimal coding and modulation for reducing inter-user interference and improving transmission performance.
Innovation Solution
A data transmission method that determines the number of coding layers, code rate, and transmitting power based on statistical interference characteristics, allowing for multi-layer coding and modulation without precise knowledge of all interferences, using methods like channel estimation, machine learning, or statistical distribution models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If Grant-free contention-based mechanism is used for uplink transmission, then access delay and signaling overheads are significantly reduced, but accurate knowledge of all interferences cannot be obtained
Solution Approach 1:
The patent uses statistical characteristics of interferences instead of complete interference information. By relying on statistical properties rather than exact interference knowledge, the system achieves low-complexity coding and modulation that is suitable for Grant-free contention-based mechanisms, effectively trading detailed information for practical implementability and reduced overhead.
2Reliability
If multi-layer coding with joint power and code rate allocations is implemented, then inter-user interference is reduced and transmission performance is improved, but device complexity increases
Solution Approach 1:
The patent determines the total number of coding layers, code rate, and transmitting power for each coding layer based on statistical characteristics of interferences. By dynamically adjusting these parameters according to interference statistics rather than requiring complex real-time interference measurement and coordination, the system achieves improved transmission performance while keeping device complexity manageable.
3Object-affected harmful factors
If complete interference knowledge is obtained for optimal coding and modulation, then inter-user interference is minimized, but measurement precision and detection difficulty increase
Solution Approach 1:
The patent introduces statistical characteristics of interferences as an intermediary between complete interference knowledge and practical implementation. Instead of directly measuring and using complete interference information which requires high measurement precision, the system uses statistical properties (mean, variance, distribution) that are easier to obtain and process, thereby reducing measurement complexity while still enabling effective interference mitigation through adaptive coding and modulation.
Data Source
AI summary
The present application provides a data transmission method which includes: obtaining statistical characteristics of interferences; determining a total number of coding layers of multi-layer coding and a code rate and transmitting power of each coding layer according to the statistical characteristics of the interferences; processing to-be-transmitted information bits through data re-organization according to the determined total number of coding layers of the multi-layer coding to obtain information bits of each coding layer; coding the information bits of each coding layer respectively according to the determined code rate of each coding layer to obtain a coded data stream of each coding layer; processing the coded data stream of each coding layer through layer mapping and modulation according to the determined transmitting power of each coding layer to obtain a symbol stream to be transmitted; and transmitting the symbol stream to be transmitted.