Interference Alignment Selection for Wireless Throughput
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In communication networks with multiple transmit nodes, interference among transmit-receive pairs using the same radio resource leads to decreased throughput, and existing technologies face challenges in efficiently selecting optimal transmit-receive pairs for interference alignment with limited calculation resources.
Innovation Solution
A method that calculates initial and new throughput information using precoding and decoding matrices for candidate combinations of transmit-receive pairs, iteratively updates these matrices, and selects a target combination for applying the interference alignment scheme, reducing the number of candidate combinations to minimize calculation resources while enhancing throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If interference alignment scheme is applied to all candidate combinations of transmit-receive pairs, then network throughput is improved, but calculation resource consumption increases significantly
Solution Approach 1:
The patent segments the set of all candidate combinations into multiple groups based on initial throughput calculations. By dividing the problem into smaller subsets (groups of candidate combinations) and applying interference alignment selectively to promising groups rather than all combinations, the calculation complexity is reduced while maintaining throughput improvement benefits.
Solution Approach 2:
The patent applies interference alignment scheme partially - only to selected candidate combinations that show promise based on initial throughput evaluation, rather than applying it to all candidate combinations. This partial application reduces calculation overhead while still achieving significant throughput improvement in the network.
2Measurement precision
If iterative updating of precoding and decoding matrices is performed for all candidate combinations, then selection accuracy of optimal transmit-receive pairs is improved, but calculation time increases
Solution Approach 1:
The patent performs preliminary calculations of initial throughput for all candidate combinations before applying the iterative interference alignment process. This preliminary action filters out poor candidate combinations early, so that iterative matrix updating is only applied to promising candidates, reducing total calculation time while maintaining selection accuracy.
Solution Approach 2:
The patent applies different levels of processing to different candidate combinations based on their initial throughput performance. Promising combinations receive full iterative treatment for accurate selection, while others receive minimal or no iterative processing. This local differentiation optimizes the balance between selection accuracy and calculation time.
3Measurement precision
If all candidate combinations are evaluated using interference alignment, then optimal transmit-receive pairs are identified accurately, but radio resource usage efficiency decreases due to excessive signaling overhead
Solution Approach 1:
The patent extracts and selects only the most promising candidate combinations based on initial throughput evaluation, excluding poor candidates from further interference alignment processing. This extraction reduces the number of combinations requiring detailed evaluation and signaling, improving radio resource usage efficiency while maintaining accurate identification of optimal pairs among the selected candidates.
Data Source
AI summary
A communication network applying an interference alignment scheme with a low or reduced complexity is provided. The communication network may include a plurality of transmit nodes and a plurality of receive nodes. A plurality of combinations of transmit-receive pairs may exist between the plurality of transmit nodes and the plurality of receive nodes. A communication apparatus for the communication network may select, from candidate combinations of transmit-receive pairs, a target combination to be applied with the interference alignment scheme. In particular, the communication apparatus may sequentially decrease a number of candidate combinations to select the target combination with a low complexity.


