Link Adaptation via Inter-Cell Interference Randomization
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Solution Overview
Problem
In cellular networks, especially in densely arranged small cells, existing methods for inter-cell interference control are ineffective due to inaccurate interference prediction, leading to suboptimal performance and difficulty in maintaining a stable signal-to-interference-plus-noise ratio (SINR) in next-generation communication systems.
Innovation Solution
A method for link adaptation is introduced, where interference randomization is performed by a serving cell based on interference information such as modulation levels from adjacent cells, optimizing link adaptation and enhancing SINR through interference randomization techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If interference randomization technique is applied to control inter-cell interference, then interference avoidance is improved, but interference control gain prediction accuracy deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the serving cell receives interference information from adjacent cells (modulation levels, traffic loads, signal reception powers) and uses this feedback to dynamically adjust link adaptation parameters. This closed-loop feedback system enables accurate prediction of interference control gain by continuously updating the serving cell's understanding of the interference environment, thereby resolving the contradiction between interference randomization and prediction accuracy.
Solution Approach 2:
The patent applies preliminary action by having adjacent cells proactively provide interference information (modulation levels, traffic loads, reference signal reception powers) to the serving cell before the serving cell needs to perform link adaptation. This advance information provision allows the serving cell to pre-calculate expected interference levels and adjust transmission parameters in advance, improving both interference control and prediction accuracy.
2Productivity
If small cells are arranged more densely to increase capacity, then network capacity is improved, but inter-cell interference becomes larger
Solution Approach 1:
The patent applies local quality by enabling each cell to independently assess and report its local interference conditions (modulation levels, traffic loads, signal powers) to neighboring cells. This localized information exchange allows each cell to adapt its transmission parameters according to its specific local interference environment, thereby maintaining high network capacity in dense deployments while effectively managing inter-cell interference through locally optimized link adaptation.
3Device complexity
If link adaptation is performed without accurate interference information, then system complexity is reduced, but SINR stability deteriorates
Solution Approach 1:
The patent applies universality by designing a standardized interference information exchange mechanism that can be universally applied across all cells in the network. The same protocol and message structures are used for all inter-cell communications, allowing the system to maintain SINR stability through consistent interference information acquisition without requiring complex cell-specific procedures. This universal approach reduces overall system complexity while ensuring stable SINR performance.
Data Source
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AI summary
A disclosure of the present specification provides a method for performing link adaptation by a serving cell which performs interference randomization for inter-cell interference control. The method may comprise the steps of: acquiring interference information on at least one coordination cell to which interference coordination is to be applied among neighbor cells; and performing link adaptation on the basis of the interference information, wherein the interference information includes information on a modulation level, which indicates a modulation scheme for the coordination cell.