Non-linear Precoding Layer Adaptation for Spatially Co-located UEs
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Solution Overview
Problem
Current wireless communication systems, particularly in NR and mmW systems, face challenges in effectively communicating with spatially co-located user equipment due to the sensitivity of linear precoding schemes to spatial separation, leading to inefficiencies in high-load networks.
Innovation Solution
Implementing non-linear precoding schemes where base stations adapt layers based on interference layers and transmit configurations to user equipment, allowing for effective decoding of downlink transmissions by identifying and scaling interference layers with perturbation factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If linear precoding schemes are used for multiple user transmission, then system implementation is simpler, but communication reliability deteriorates when user equipment are spatially co-located
Solution Approach 1:
The patent transforms the linear precoding approach into non-linear precoding by changing the mathematical parameters and operations involved. Specifically, it introduces interference layer adaptation where the precoder modifies transmitted signals based on estimated interference conditions, using non-linear operations to cancel interference between spatially co-located UEs. This parameter transformation resolves the contradiction by sacrificing some implementation simplicity to achieve reliable communication in dense spatial scenarios.
2Reliability
If non-linear precoding schemes are implemented to support spatially co-located UEs, then communication reliability improves, but device complexity increases
Solution Approach 1:
The patent segments the precoding process into distinct functional components: interference estimation module, interference layer adaptation module, and signal transmission module. By dividing the complex non-linear precoding operation into separate manageable stages, each with specific functions, the implementation complexity is reduced while maintaining the reliability benefits of non-linear interference cancellation.
Solution Approach 2:
The patent performs preliminary interference estimation and layer adaptation before actual signal transmission. The base station estimates interference conditions in advance, determines appropriate adaptation factors, and prepares the precoded signals beforehand. This preliminary action allows the complex non-linear processing to be completed during a separate preparation phase, reducing the real-time computational burden during transmission.
3Ease of operation
If linear precoding is used in high-load networks, then system operation is easier, but productivity decreases due to poor performance in UE-dense areas
Solution Approach 1:
The patent introduces dynamic adaptation to the precoding process, where the system automatically adjusts interference cancellation parameters based on real-time channel conditions and interference levels. The adaptation factors are dynamically calculated and updated, allowing the system to optimize performance for spatially co-located UEs without manual intervention. This dynamic behavior maintains ease of operation while significantly improving productivity in dense network scenarios.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may receive, from a base station, a configuration associated with a layer to reference signal port mapping. In some cases, the UE may identify, based at least in part on the configuration, that at least one layer of a set of layers for receiving a downlink transmission from the base station is adapted based on at least one interference layer. In some cases, the adapted layer may be mapped to one or more reference signal ports. The UE may receive the downlink transmission and may decode the downlink transmission based on identifying that the at least one layer is adapted and the layer to reference signal port mapping.