Adaptive Radio Resource Allocation for Feedback Reliability
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Solution Overview
Problem
Radio networks face inefficiencies in resource allocation for feedback messages, leading to waste of resources when error rates are low and insufficient reliability when error rates are high, particularly in Hybrid Automatic Repeat Request (HARQ) processes.
Innovation Solution
A network node dynamically adjusts radio resources for feedback messages based on the expected data error rate of the forward link, allocating more resources when error rates are high and fewer when error rates are low, using quality measurements like signal-to-noise ratio to determine the necessary resources for reliable feedback transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed radio resources are allocated for feedback messages, then reliability of feedback transmission is improved, but resource waste occurs when error rates are low
Solution Approach 1:
The patent applies dynamics by making the radio resource allocation for feedback messages adaptive rather than fixed. The network node dynamically adjusts the amount of radio resources allocated based on real-time channel quality indicators and expected error rates. When channel conditions are good and error rates are low, fewer resources are allocated; when conditions deteriorate and error rates increase, more resources are allocated to ensure reliable feedback transmission. This dynamic adjustment resolves the contradiction between maintaining high reliability and avoiding resource waste.
Solution Approach 2:
The patent changes the parameter of radio resource allocation based on varying channel conditions. By monitoring channel quality indicators (such as signal-to-noise ratio, bit error rate, or block error rate) and adjusting the allocated resources accordingly, the system adapts to changing environmental conditions. This parameter change approach allows the system to optimize the balance between reliability and resource efficiency by matching resource allocation to actual transmission needs.
2Reliability
If more radio resources are allocated for feedback messages, then feedback transmission reliability is improved, but network efficiency decreases due to resource overhead
Solution Approach 1:
The system dynamically adjusts feedback resource allocation to match actual transmission needs, preventing both over-provisioning (which reduces network efficiency) and under-provisioning (which compromises reliability). By making resources available only when and where they are needed, the system maintains high feedback reliability while minimizing impact on overall network productivity.
Solution Approach 2:
The patent adjusts the allocation parameters for feedback resources based on channel quality measurements. When channel conditions are favorable, fewer resources are dedicated to feedback, leaving more resources available for data transmission and improving overall network efficiency. When conditions worsen, the system increases feedback resources to maintain reliability, demonstrating adaptive parameter optimization that balances both objectives.
3Productivity
If adaptive resource allocation is implemented, then resource efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the network node monitors channel quality indicators and uses this information to adjust resource allocation. The feedback loop compares actual transmission performance with expected performance and dynamically modifies resource allocation accordingly. This feedback-based approach enables adaptive resource efficiency while managing complexity through a relatively simple control mechanism that relies on standard channel quality measurements and pre-defined allocation rules.
Data Source
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AI summary
A method and a network node, for handling a feedback procedure requiring transmission of feedback messages on a reverse link to indicate either an ACK or a NACK of correct reception of data transmitted on a forward link in a radio communication with a wireless device. The network node obtains (300) a quality of the forward link and determines (302) an expected data error rate on the forward link based on the quality of the forward link. The network node then assigns (306) radio resources on the reverse link for transmission of the feedback messages based on the expected data error rate, so that more radio resources are assigned for the reverse link when the expected data error rate is relatively high than when the expected data error rate is relatively low. Thereby, the amount of radio resources on the reverse link can be adapted to the expected data error rate such that any waste of radio resources to no avail can be reduced.