Base Station Dual Structured Precoding Feedback Overhead
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Solution Overview
Problem
The existing technologies face challenges in reducing feedback overhead, particularly in systems with a large number of antennas, as the feedback overhead increases significantly with the number of antennas at the base station, and prior arts do not effectively address this issue in Massive MIMO systems.
Innovation Solution
The proposed solution utilizes polarization jointly with spatial correlation in dual structured precoding to reduce feedback overhead, specifically by grouping mobile stations based on polarization and using long-term and short-term Channel State Information to design precoding matrices, thereby reducing the dimensionality of feedback and improving computational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of antennas at the base station increases to support multiple mobile stations simultaneously, then system throughput is improved, but feedback overhead increases significantly
Solution Approach 1:
The feedback information is segmented into two distinct parts: long-term CSIT (spatial correlation) and short-term CSIT (instantaneous channel state). This segmentation allows the system to separately handle slowly varying spatial characteristics from rapidly changing channel conditions, reducing the overall feedback burden while maintaining accuracy
Solution Approach 2:
The patent introduces polarization as an additional dimension for grouping mobile stations. By utilizing polarization diversity alongside spatial correlation, the system creates a more refined grouping mechanism that reduces feedback overhead while preserving channel state information accuracy for massive MIMO systems
2Loss of information
If dual structured feedback with spatial correlation is used to reduce feedback overhead, then feedback overhead is reduced, but the solution does not effectively address Massive MIMO systems with extremely large number of antennas
Solution Approach 1:
The patent changes the grouping parameter from purely spatial correlation to a combination of spatial correlation and polarization characteristics. This parameter change enables the dual structured feedback to effectively handle Massive MIMO systems with extremely large numbers of antennas by exploiting the additional polarization dimension
Data Source
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AI summary
The embodiment of the invention discloses a base station, a mobile station and a method thereof. The base station includes a processor and a transceiver. The processor determines a first subgroup to which a first mobile station belongs, wherein the first mobile station is one of a plurality of mobile stations, the plurality of mobile stations are grouped into G groups based on spatial correlation, the mobile stations in each of the G groups are further grouped into S subgroups based on polarization, the mobile stations in a same subgroup have a same polarization and the mobile stations in different subgroups have different polarizations. The transceiver communicates with the first mobile station according to the polarization of the first subgroup. The embodiments of the invention utilize polarization jointly with the spatial correlation in dual structured procoding so that feedback overhead can be reduced.