Transmission Layer Selection Using Iterative ICC and Beam Weight Updates
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately calculating channel properties for spatial multiplexing transmission layers, requiring cumbersome computations to evaluate all layer and UE combinations, leading to inefficiencies and performance losses due to inaccurate SINR estimations.
Innovation Solution
An iterative method for selecting transmission layers that calculates a first ICC based on beam weights and channel estimates, adding subsequent layers only if they increase the total ICC, updating beam weights efficiently in each iteration to reduce computational cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If exhaustive combinatorial evaluations are performed to select optimal transmission layers, then layer selection accuracy is improved, but computational complexity increases significantly
Solution Approach 1:
The patent segments the exhaustive combinatorial evaluation process into iterative steps, where transmission layers are evaluated and selected sequentially rather than all at once. The network node evaluates layers one by one, updating the set of selected layers in each iteration, which divides the complex computational task into manageable segments that reduce overall computational complexity while maintaining selection accuracy.
Solution Approach 2:
The patent applies preliminary action by pre-calculating and storing channel estimates and beam weights before the layer selection process. These pre-computed parameters are then reused during the iterative selection process, avoiding redundant calculations and significantly reducing the computational burden of evaluating each layer combination while preserving the accuracy of the selection.
2Device complexity
If heuristic-based approaches are used for layer selection, then computational complexity is reduced, but SINR estimation accuracy deteriorates
Solution Approach 1:
The patent implements feedback by using the calculated Information Carrying Capacity (ICC) values to guide the iterative layer selection process. The network node calculates ICC for each candidate layer based on channel estimates and beam weights, then uses this feedback information to determine which layers to add to the selected set. This feedback-driven approach replaces heuristic methods with a systematic process that maintains SINR estimation accuracy while keeping computational complexity manageable.
3Productivity
If more transmission layers are spatially multiplexed, then data rate increases, but channel estimation accuracy decreases due to increased interference
Solution Approach 1:
The patent applies dynamics by making the beam weights adaptive rather than static. As layers are added to the spatial multiplexing configuration, the network node dynamically updates the beam weights for all selected layers to optimize their orthogonality and minimize mutual interference. This dynamic adjustment ensures that channel estimation accuracy is maintained even as the number of multiplexed layers increases, thereby preserving data rate performance.
Data Source
AI summary
A method performed by a network node is provided. The network node calculates a first Information Carrying Capacity (ICC) associated with a first layer. The first ICC is calculated based on beam weights calculated for the first layer, and an established channel estimate of the first layer. The first layer is selected to a set of layers.The network node performs actions iteratively at least one time for layer selection, adds a subsequent layer, adapts the calculated beam weights to be used as subsequent beam weights for a subsequent layer, calculates a subsequent ICC for the subsequent layer, decides whether to select the added subsequent layer to the set of layers and rejecting the subsequent layer when the sum of the ICCs of the layers in the set of layers and the subsequent ICC is lower than the sum of ICCs of the layers in the set of layers.