Grant-Free Non-Orthogonal Transmission Data Processing Method
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Solution Overview
Problem
Current grant-free and non-orthogonal transmission solutions in 5G communication technologies face limitations in flexibility, support for a large number of users, resource overhead, system transmission efficiency, and receiver complexity due to reliance on pre-configuration and complex receivers to prevent resource collisions.
Innovation Solution
The implementation of differential encoding and sequence-based processing for both transmitters and receivers, allowing for flexible and efficient grant-free non-orthogonal transmission with reduced reference signal overhead and lower receiver complexity by enabling blind detection and differential channel estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-configuration or semi-static configuration is used to prevent resource collisions, then resource collision prevention is improved, but system flexibility deteriorates and the number of supported users is limited
Solution Approach 1:
The receiver performs autonomous interference cancellation by detecting and removing strong user signals before decoding weaker signals. The system enables users to autonomously select resources without pre-configuration, and the receiver autonomously handles collision resolution through iterative interference cancellation, eliminating the need for centralized resource management
Solution Approach 2:
The system changes the approach from static resource allocation to dynamic signal processing parameters. By adjusting receiver processing capabilities (interference cancellation iterations, detection thresholds) rather than fixed resource assignments, the system adapts to varying user densities and channel conditions while maintaining reliability
2Measurement precision
If a great number of preamble sequences, pilot sequences or reference signals are adopted to reduce collision probability, then user identification accuracy is improved, but resource overhead increases and system transmission efficiency deteriorates
Solution Approach 1:
The patent extracts the essential function of reference signals from the traditional massive sequence approach. Instead of using numerous distinct sequences, the system uses minimal reference signals combined with advanced receiver processing to achieve the same user identification and channel estimation functions, removing the excess resource consumption
Solution Approach 2:
The system replaces the mechanical approach of using more sequences (physical layer solution) with a signal processing approach (receiver algorithm). The receiver uses interference cancellation and sophisticated detection algorithms to achieve accurate user identification without relying on large numbers of orthogonal sequences, substituting computational processing for physical resource multiplication
3Reliability
If advanced receivers with interference cancellation are used, then non-orthogonal access performance is improved, but receiver complexity increases
Solution Approach 1:
The receiver processes signals in segmented stages: first detecting and decoding strong user signals, then using those decoded signals to cancel interference, and finally detecting weaker signals. This segmentation of the reception process into discrete iterative steps makes the complex interference cancellation task manageable and implementable
Solution Approach 2:
The receiver employs dynamic adaptive processing where the detection threshold and interference cancellation parameters are adjusted based on detected signal conditions. The system dynamically adapts its complexity level - using more aggressive interference cancellation when needed and simpler processing when channel conditions are favorable, optimizing the balance between performance and complexity
4Loss of time
If grant-free transmission is implemented to reduce signaling overhead, then transmission latency is improved, but resource collision probability increases
Solution Approach 1:
The patent converts the harmful effect of resource collisions into a beneficial opportunity for demonstrating non-orthogonal multiple access capabilities. Instead of avoiding collisions through pre-configuration, the system embraces collisions as the norm and uses advanced receiver processing to successfully decode multiple overlapping signals, turning the collision problem into a feature that enables higher user density and flexibility
Data Source
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AI summary
Provided are a data processing method and device. The method may include: generating first data, wherein generating the first data comprises one of: performing differential encoding on second data to generate third data, and processing the third data by using a sequence to generate the first data; processing the second data by using a sequence to generate fourth data, and performing differential encoding on the fourth data to generate the first data; and processing the second data by using a sequence to generate the first data. The solution solves problems of insufficient flexibility, a small number of supported users, a large resource overhead, a poor system transmission efficiency, a high complexity of a receiver and the like in the relevant art, may implement more flexible and efficient grant-free and non-orthogonal transmission, and has a good system transmission efficiency and a low receiver complexity.