Dynamic Redundancy Adjustment for Cellular Coverage
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Solution Overview
Problem
Current cellular network technologies face challenges in dynamically adjusting the number of messages encoded with a given redundancy version, leading to potential data loss or resource inefficiency due to static bundling policies, which can result in degraded quality of service, especially in scenarios with varying communication conditions.
Innovation Solution
Implementing a system where nodes and terminals in a cellular network can flexibly and dynamically adjust the number of messages encoded with a given redundancy version based on decoding success and communication quality, using control messages to adapt the number of transmissions and potentially abort redundant messages early, 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 is enhanced, but resource occupation increases unnecessarily and quality of service degrades
Solution Approach 1:
The patent implements dynamic adjustment of the number of repeated messages based on decoding outcomes. The system transitions from a static bundling policy to a dynamic one where the repetition count is adapted in real-time: if decoding succeeds, repetitions are reduced or stopped; if decoding fails, repetitions are increased. This resolves the contradiction by making resource occupation variable rather than fixed, optimizing both coverage and resource usage.
Solution Approach 2:
The system uses feedback from decoding operations to control the number of message repetitions. The decoding outcome (success or failure) serves as feedback that informs subsequent transmission decisions. This feedback mechanism allows the system to adjust resource occupation dynamically, preventing unnecessary repetitions when decoding succeeds while ensuring sufficient repetitions when decoding fails, thus resolving the contradiction between coverage enhancement and resource efficiency.
2Reliability
If a static bundling policy is employed to repeat redundancy versions, then coverage is enhanced, but quality of service degrades due to too few or too many messages
Solution Approach 1:
The system dynamically adapts the number of message repetitions based on actual decoding performance and communication conditions. This dynamic behavior enables the system to adjust to varying channel conditions, terminal capabilities, and traffic patterns, thereby improving quality of service. The system can increase repetitions when conditions are poor and reduce them when conditions are good, providing adaptability that static policies cannot achieve.
Solution Approach 2:
The decoding outcome provides feedback that drives adaptive adjustment of repetition counts. When decoding succeeds, the system reduces repetitions to avoid unnecessary resource occupation; when decoding fails, the system increases repetitions to ensure reliable delivery. This feedback-driven adaptation directly improves quality of service by matching resource allocation to actual communication needs.
3Reliability
If the number of messages is increased to ensure successful transmission, then reliability improves, but resource occupation increases
Solution Approach 1:
The system uses decoding feedback to control message repetition count. Repetitions are performed only when decoding fails, and the number of repetitions is adjusted based on continued decoding outcomes. This ensures that resources are occupied only when necessary for successful transmission, avoiding unnecessary repetitions when the first few messages already achieve decoding success. The feedback mechanism creates a direct link between transmission reliability and resource occupation.
Solution Approach 2:
The system changes the parameter of message repetition count dynamically based on decoding performance. Instead of using a fixed number of repetitions, the system adjusts this parameter in response to decoding outcomes and channel conditions. This parameter change allows the system to achieve reliable transmission with the minimum necessary repetitions, optimizing the trade-off between reliability and resource occupation.
Data Source
AI summary
A plurality of payload messages (502, 505, 508) is communicated on a radio link of a cellular network between a terminal (130) and an access node (112) of the cellular network. Each one of the plurality of payload messages (502, 505, 508) includes a data packet (501) encoded according to a given redundancy version (371-373). The number of the plurality of payload messages (502, 505, 508) 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.