Dynamic Redundancy Version Adjustment for Cellular Coverage
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Solution Overview
Problem
Current cellular network technologies face challenges in dynamically adjusting the number of messages with data encoded according to a given redundancy version, leading to potential data loss or resource misallocation, which degrades the quality of service, especially in scenarios with static bundling policies.
Innovation Solution
Implementing a system where nodes and terminals in a cellular network can flexibly and dynamically adjust the number of messages encoded according to a redundancy version based on decoding success and communication quality, using control messages to prompt additional transmissions or aborting redundant data packets, thereby optimizing resource usage and communication reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static bundling policy is employed to repeat redundancy versions, then coverage enhancement is achieved, but resource misallocation and data loss occur due to inability to adapt to changing conditions
Solution Approach 1:
The patent applies dynamics by transitioning from a static bundling policy to a dynamic adaptation mechanism. The system continuously monitors decoding outcomes and radio link conditions, then adjusts the number of redundancy version repetitions in real-time. This allows the coverage enhancement mechanism to adapt to changing channel conditions while maintaining reliability.
Solution Approach 2:
The patent implements feedback by using decoding outcomes (ACK/NACK) and radio link quality measurements to control the repetition count of redundancy versions. The system receives feedback about transmission success or failure and adjusts the bundling policy accordingly, creating a closed-loop control system that optimizes resource usage while maintaining coverage enhancement.
2Reliability
If the number of redundancy version messages is increased to prevent data loss, then reliability improves, but resource occupation increases
Solution Approach 1:
The system dynamically adjusts the number of redundancy version messages based on actual decoding needs and radio conditions. Instead of using a fixed large number of repetitions, the system uses the minimum necessary repetitions to achieve successful decoding, thereby maintaining reliability while reducing resource occupation.
Solution Approach 2:
The feedback mechanism allows the system to monitor whether the current number of redundancy messages is sufficient for successful decoding. Based on ACK/NACK feedback and channel quality indicators, the system adjusts the repetition count to match actual needs, preventing both data loss and unnecessary resource waste.
3Quantity of substance
If the number of redundancy version messages is decreased to save resources, then resource efficiency improves, but data loss increases
Solution Approach 1:
The system dynamically determines the appropriate number of redundancy messages based on real-time radio conditions and decoding requirements. When conditions are good, fewer messages are used to save resources; when conditions deteriorate, the system automatically increases repetitions to prevent data loss, achieving an optimal balance between resource efficiency and reliability.
Solution Approach 2:
The feedback loop continuously monitors decoding success and channel quality to adjust the redundancy message count. This ensures that the system uses enough repetitions to prevent data loss under poor conditions while minimizing resource usage when conditions are favorable, resolving the contradiction between resource efficiency and data loss prevention.
4Reliability
If blind repetition of redundancy versions is used, then coverage is enhanced in poor conditions, but resource occupation increases due to preemptive repetitions
Solution Approach 1:
The patent replaces blind preemptive repetition with feedback-driven repetition. Instead of sending a fixed large number of redundancy messages regardless of actual channel conditions, the system uses ACK/NACK feedback and channel quality measurements to determine the appropriate number of repetitions, achieving coverage enhancement only when and where needed.
Solution Approach 2:
The system changes the parameter of repetition count based on radio link conditions and decoding outcomes. Rather than using a fixed high repetition count for all conditions, the system adapts the repetition parameter dynamically, using more repetitions in poor conditions for coverage enhancement while using fewer in good conditions to conserve resources.
Data Source
AI summary
A plurality of payload messages is communicated on a radio link of a cellular network between a terminal and an access node of the cellular network. Each one of the plurality of payload messages includes a data packet encoded according to a given redundancy version. The number of the plurality of payload messages may be dynamically and flexibly adjusted in some embodiments. Examples are given which may be applied for coverage enhancement in the Internet of Things or Machine Type Communication domain.