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

VSEngineering 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

Engineering Contradiction:
Improvecontrol accuracyVSAvoidnetwork node resource consumption
Core Design Contradiction:
ReliabilityVSLoss of energy

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

Inventive Principle:
Principle #25Self-service

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

Inventive Principle:
Principle #13The other way round (Inversion)

2Productivity

If the network node selects SRS patterns and schedules resource blocks, then resource allocation can be optimized, but network node processing complexity increases

Engineering Contradiction:
Improveresource allocation efficiencyVSAvoidnetwork node processing complexity
Core Design Contradiction:
ProductivityVSDevice complexity

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

Inventive Principle:
Principle #25Self-service

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

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9537547B1User equipment SRS selection with network node intelligence for beamforming performance improvement
Publication Date: 2017.01.03 T MOBILE INNOVATIONS LLC
  • US9537547B1 patent drawing
  • US9537547B1 patent drawing
  • US9537547B1 patent drawing

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.