Uplink Radio Resource Allocation via Iterative SINR Estimation
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Solution Overview
Problem
Current radio resource allocation methods in cellular networks, such as those based on LTE/LTE-Advanced, do not adequately consider user equipment transmission power and radio quality in uplink transmissions, leading to suboptimal allocation of resources.
Innovation Solution
A method for allocating radio resources in uplink transmissions that iteratively selects an ordered succession of resources based on signal-to-interference-plus-noise ratio (SINR) estimates, taking into account transmission power and history information, and adjusts the allocation group boundaries to achieve optimal SINR, allowing for efficient allocation of resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If radio resources are allocated based on channel quality and transmission format, then transmission efficiency is improved, but user equipment transmission power and radio quality are not considered leading to suboptimal allocation
Solution Approach 1:
The patent changes the allocation parameters from simple channel quality indicators to include SINR estimates that incorporate both channel quality and transmission power considerations. By estimating SINR per radio resource based on history transmission information and adjusting allocation groups iteratively, the system achieves optimal resource allocation that simultaneously improves transmission efficiency and ensures reliable radio quality.
2Quantity of substance
If more radio resources are allocated to user equipment, then data transmission capacity is improved, but interference increases reducing signal quality
Solution Approach 1:
The patent implements dynamic resource allocation by iteratively adjusting the allocation group boundaries based on SINR estimates. The system starts with a full allocation group and progressively narrows it down by evaluating SINR at different boundaries, allowing the allocation to adapt dynamically to current channel conditions and interference levels, thus optimizing the balance between data capacity and signal quality.
Solution Approach 2:
The patent uses history transmission information to estimate SINR for each radio resource, creating a feedback mechanism that informs future allocation decisions. By continuously monitoring transmission outcomes and using this information to refine SINR estimates, the system learns from past performance to optimize current resource allocation, balancing capacity and interference effectively.
3Measurement precision
If iterative optimization is performed to achieve optimal SINR, then resource allocation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments the radio resources into allocation groups with specific boundaries, allowing iterative optimization to focus on determining optimal boundary positions rather than evaluating every possible resource combination. This segmentation approach maintains allocation accuracy while reducing computational complexity by limiting the search space to boundary adjustments within defined groups.
Data Source
AI summary
A method is proposed for selecting an allocation group comprising an ordered succession of radio resources from a first radio resource to a last radio resource, iterating the following operations: selecting the last radio resource of the allocation group, each last radio resource taking, at each iteration, a position in the ordered succession lower than the position taken in the ordered succession by the last radio resource at the respective previous iteration, estimating a signal to interference-plus-noise ratio per radio resource of the allocation group according to a number of radio resources of the allocation group, from the first to the last radio resources of the allocation group, and according to history transmissions information, and until the signal to interference-plus-noise ratio per radio resource is higher than a predetermined signal to interference-plus-noise ratio, allocating the radio resources from said first to said last radio resources of the allocation group.