Dynamic Bit-to-Symbol Mapping for Wireless Positioning
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Solution Overview
Problem
Existing wireless communications systems face challenges in dynamically optimizing data transmission performance and positioning accuracy due to limitations in bit-to-symbol and symbol-to-resource mappings, which are not adequately adaptable to changing performance indicators and channel conditions.
Innovation Solution
A method and apparatus for processing data in wireless communications systems, which involves dynamically modifying bit-to-symbol and symbol-to-resource mappings based on performance indicators and channel information, using machine learning techniques to optimize these mappings and improve data transmission and positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional fixed mappings are used for data transmission, then system simplicity is maintained, but data transmission performance and positioning accuracy cannot be optimized under changing channel conditions
Solution Approach 1:
The patent implements dynamic mapping configurations where bit-to-symbol and symbol-to-resource mappings are adapted in real-time based on channel conditions and performance requirements. The network device determines and signals different mapping configurations to terminal devices according to varying transmission scenarios, enabling the system to optimize performance without requiring completely new system architectures.
Solution Approach 2:
The patent changes mapping parameters (bit-to-symbol mapping rules and symbol-to-resource mapping rules) based on channel conditions and performance indicators. By adjusting these parameters dynamically, the system can improve data transmission reliability and positioning accuracy without fundamentally altering the communication framework, thus balancing performance improvement with system complexity management.
2Measurement precision
If dynamic mapping modification is implemented to optimize performance, then data transmission and positioning accuracy improve, but system complexity increases
Solution Approach 1:
The patent employs dynamic mapping configurations that adapt to different transmission scenarios and channel conditions. The network device selects appropriate mapping configurations and signals them to terminal devices, enabling real-time optimization of positioning accuracy and data transmission performance without requiring complex decentralized decision-making at each device.
Solution Approach 2:
The system uses performance indicators (such as channel quality information and positioning accuracy metrics) as feedback to determine appropriate mapping configurations. The network device receives feedback about current transmission conditions and adjusts mapping parameters accordingly, creating a closed-loop system that optimizes performance while keeping complexity manageable through centralized control.
3Reliability
If adaptive mapping adjustments are made based on performance indicators, then bit error rate and symbol error rate decrease, but processing overhead increases
Solution Approach 1:
The patent implements dynamic mapping adjustments where the network device determines appropriate mapping configurations based on current channel conditions and performance indicators. By centralizing the decision-making process at the network device, the system can quickly adapt mappings to reduce bit and symbol error rates without requiring complex real-time processing at terminal devices, thus minimizing processing overhead.
Solution Approach 2:
The network device determines and signals mapping configurations in advance before data transmission begins. This preliminary configuration allows terminal devices to use pre-determined optimal mappings without performing complex real-time calculations during transmission, reducing processing overhead while still achieving low error rates through proactive optimization.
Data Source
AI summary
A computer-implemented method of processing data associated with at least one component of a wireless communications system. The method includes: modifying at least one of a) a mapping from bits associated with data to be transmitted over the wireless communications system to symbols, b) a mapping of symbols to resources of the wireless communications system, based on at least one of: c1) a first parameter characterizing at least one performance indicator associated with a data transmission over the wireless communications system, c2) a second parameter characterizing at least one performance indicator associated with a positioning technique associated with the data transmission using the wireless communications system.