Network Coding Encoder Selection for Transport Block Capacity
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, face challenges in efficiently utilizing network coding devices for encoding transport blocks, leading to suboptimal system capacity and resource utilization.
Innovation Solution
A method and apparatus at a user equipment (UE) and network coding device that allow for the selection of a subset of network coding devices as encoders for transport blocks based on factors like power, capability, mobility, and duration of stay in an area, enhancing the efficiency of network coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If any network coding device is selected for encoding transport blocks, then network coding functionality is provided, but network coding performance is suboptimal due to insufficient device selection criteria
Solution Approach 1:
The patent applies parameter changes by introducing multiple selection criteria (mobility state, power availability, location, coverage area) to evaluate and select network coding devices. This transforms the selection process from arbitrary to systematic, ensuring optimal device selection based on current network conditions and device capabilities.
Solution Approach 2:
The patent implements feedback mechanisms where network coding devices report their encoder information (mobility, power, location) to the network, and the network provides selection indications back to devices. This closed-loop feedback enables dynamic adaptation and optimization of encoder selection based on real-time device states.
2Productivity
If multiple network coding devices are used for encoding, then system capacity increases, but device selection complexity increases
Solution Approach 1:
The patent segments the device selection process into distinct evaluation dimensions (mobility state, power availability, location, coverage area). Each dimension is evaluated independently using specific criteria, and results are combined to determine the final encoder selection. This segmentation reduces complexity by breaking down the overall selection task into manageable sub-tasks.
Solution Approach 2:
The patent applies local quality by assigning different weights and criteria to different device attributes based on their relevance to encoding performance. For example, mobility state and power availability are critical factors that receive higher priority in the selection process, while less critical factors receive lower priority. This differentiated evaluation approach optimizes the selection process for multi-device scenarios.
Data Source
AI summary
Apparatus, methods, and computer program products for selecting an encoder for network coding are provided. An example method may include receiving one or more encoder information messages from a set of network coding devices, the one or more encoder information messages being associated with the set of network coding devices. The example method may further include transmitting a selection indication to at least one selected network coding device of the set of network coding devices, the selection indication indicating a selection of the at least one selected network coding device as an encoder for encoding at least one transport block (TB).