Adaptive Spectrum Sharing Between Radio Access Technologies
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Solution Overview
Problem
Current spectrum sharing technologies between different radio access technologies (RATs) face challenges in measuring cell load effectively due to high instantaneous traffic variations and packet transmission characteristics, leading to undesired bandwidth reallocations and throughput losses.
Innovation Solution
An adaptive resource sharing method that uses a network node to acquire cell load measurements and user equipment (UE) interruption delay parameters, applying filters with coefficients based on traffic type and UE capability to optimize bandwidth reallocations between RATs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If spectrum sharing algorithms perform frequent bandwidth reallocations based on instantaneous cell load measurements, then spectrum utilization may be optimized, but user throughput is reduced due to interruption delays
Solution Approach 1:
The patent applies dynamics by transitioning from static threshold-based reallocation decisions to dynamic filter-based decisions. The filter coefficients are adaptively adjusted based on traffic characteristics and UE capabilities, allowing the system to dynamically optimize the balance between spectrum utilization and user throughput in real-time operating conditions
Solution Approach 2:
The patent changes the parameter used for reallocation decisions from instantaneous cell load measurements to filtered load measurements with adjustable coefficients. By modifying the filter coefficients based on traffic type and UE capability, the system optimizes the trade-off between responding quickly to load changes and minimizing interruption delays
2Speed
If the system responds quickly to instantaneous traffic variations for bandwidth reallocation, then spectrum sharing responsiveness is improved, but measurement precision is compromised due to high instantaneous traffic variations
Solution Approach 1:
The patent applies preliminary action by pre-filtering the cell load measurements before using them for reallocation decisions. The filter processes historical measurement data to produce a smoothed load estimate that reflects true traffic trends rather than instantaneous variations, enabling more precise measurements while maintaining responsive reallocation capabilities
Solution Approach 2:
The patent implements feedback by continuously monitoring traffic characteristics and UE capabilities to adaptively adjust filter coefficients. This feedback mechanism allows the system to learn from past performance and optimize the filtering strength, balancing measurement precision with response speed based on actual network conditions
3Productivity
If bandwidth reallocations are performed frequently to optimize spectrum sharing, then spectrum efficiency is improved, but interruption delays accumulate reducing overall throughput gains
Solution Approach 1:
The patent applies dynamics by making the reallocation decision process adaptive rather than static. The filter coefficients dynamically adjust based on current traffic conditions and UE capabilities, allowing the system to optimize the frequency and timing of reallocations to minimize interruption delays while maintaining spectrum efficiency
Solution Approach 2:
The patent applies beforehand cushioning by using filtered load measurements that smooth out instantaneous variations before making reallocation decisions. This cushioning effect prevents premature or overly frequent reallocations triggered by temporary traffic spikes, thereby reducing cumulative interruption delays while still capturing genuine load changes
Data Source
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AI summary
26 ABSTRACT There is provided adaptive resource sharing between at least two radio access technologies (RATs) in a cell. A network node acquires cell load measurements for at least two RATs in a cell. The network node acquires traffic information for the cell. The network node acquires an indicator of 5 interruption delay parameters for user equipment in the cell. The network node determines filter coefficients based on the acquired traffic information and the acquired indicator. The network node applies a filter with the filter coefficients to the cell load measurements. The network node performs resource sharing between the at least two RATs based on the filtered cell load 10 measurements.