Multi-Receiver Channel Matrix Combination for Simultaneous Spatial Processing
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Solution Overview
Problem
Existing wireless communications systems face challenges in processing multi-layer transmissions simultaneously received from multiple network entities, particularly in complex and dynamic environments, where signal attenuation and blockages are common.
Innovation Solution
A method for wireless communications by user equipment (UE) involves obtaining channel matrices for spatially processing multi-layer transmissions from multiple network entities received via different antenna panels, and then spatially processing these transmissions based on a combined channel matrix.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multi-layer transmissions from multiple network entities are simultaneously received and processed, then bandwidth and communication reliability are improved, but device complexity and processing difficulty increase
Solution Approach 1:
The patent segments the multi-layer transmission processing by obtaining separate channel matrices for each network entity (first channel matrix for first network entity, second channel matrix for second network entity) and then combining them. This segmentation allows the complex processing to be broken down into manageable steps, reducing overall processing complexity while enabling simultaneous reception from multiple entities.
Solution Approach 2:
The patent processes transmissions from multiple spatial dimensions by receiving signals from different antenna panels (first antenna panel for first network entity, second antenna panel for second network entity). This spatial dimensionality enables the system to simultaneously process multi-layer transmissions from multiple directions, increasing bandwidth while managing complexity through structured channel matrix combination.
2Reliability
If channel matrices from multiple network entities are combined for spatial processing, then communication reliability is improved, but measurement and processing difficulty increase
Solution Approach 1:
The patent performs preliminary actions by obtaining and preparing individual channel matrices for each network entity before combining them. The first channel matrix is obtained for the first network entity and the second channel matrix is obtained for the second network entity, allowing each to be processed and validated separately before integration, thus reducing the difficulty of the overall measurement and processing task.
Solution Approach 2:
The patent uses the combined channel matrix as an intermediary structure that integrates information from multiple source channel matrices. This intermediary representation simplifies the final spatial processing step while maintaining the reliability benefits of multi-entity reception, as the combined matrix encapsulates all necessary channel information in a unified form.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for processing multi-layer transmissions simultaneously received from multiple network entities. An example method for wireless communications by a user equipment (UE) includes obtaining a first channel matrix for spatially processing multi-layer transmissions from a first network entity received via a first antenna panel at the UE; obtaining a second channel matrix for spatially processing multi-layer transmissions from a second network entity received via a second antenna panel at the UE; and spatially processing one or more multi-layer transmissions from the first and second network entities simultaneously received via the first and second antenna panels at the UE, based on a third channel matrix including entries of the first channel matrix and entries of the second channel matrix.