UE SRS Pattern Selection for Beamforming
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Solution Overview
Problem
Current LTE networks require network nodes to explicitly select SRS patterns and schedule resource blocks, consuming valuable resources and limiting efficiency in beamforming performance.
Innovation Solution
User Equipment (UE) selects and transmits SRS patterns, with the network node processing OFDM symbols to detect and generate an impulse response matrix, allowing UE to autonomously choose SRS patterns based on wireless communication characteristics, thereby reducing network node resource consumption and improving beamforming performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the network node explicitly selects SRS patterns and schedules resource blocks, then the network node can control uplink transmission parameters, but valuable network node resources are consumed
Solution Approach 1:
The UE autonomously selects SRS patterns and determines uplink transmission parameters based on wireless communication characteristics, eliminating the need for network node intervention in pattern selection. This self-service approach reduces network node processing load while maintaining reliable control through UE-based decision making
Solution Approach 2:
Instead of the network node selecting SRS patterns for the UE, the invention inverts the selection process by enabling the UE to autonomously select patterns and report them to the network node. This inversion transfers the selection burden from network node to UE, reducing network node resource consumption while preserving control accuracy
2Productivity
If the network node selects SRS patterns and schedules resource blocks, then resource allocation can be optimized, but network node processing complexity increases
Solution Approach 1:
The UE performs autonomous SRS pattern selection and resource block determination based on measured wireless communication characteristics, eliminating the need for complex network node processing for pattern selection. This maintains resource allocation efficiency through UE-based optimization while reducing network node processing complexity
Solution Approach 2:
The UE pre-selects SRS patterns and determines resource block requirements before transmission, reporting these selections to the network node. This preliminary action by the UE reduces the processing complexity at the network node while maintaining optimized resource allocation through advance UE-based decision making
Data Source
AI summary
User Equipment (UE) selects a Sounding Reference Signal (SRS) pattern and transmits orthogonal frequency-division multiplexing (OFDM) symbols according to the selected SRS pattern. The OFDM communication system wirelessly receives data from the UE and processes the data to detect the OFDM symbols. The detected OFDM symbols are processed to identify the selected SRS pattern. An impulse response matrix is generated based on the selected SRS pattern. Additional data based on the impulse response matrix can be transferred to the UE.


