Uplink Beamforming Feedback for Higher 5G Base Station SNR
Solution Overview
Problem
Existing 5G networks face challenges in optimizing uplink beamforming for efficient data transmission, particularly in managing signal quality indicators and configuration parameters to maximize signal-to-noise ratio (SNR) at the base station.
Innovation Solution
A method and apparatus for uplink beamforming in 5G networks that involve receiving configuration messages with signal quality indicators, determining and configuring uplink beams using integer values from look-up tables, and employing an adaptive tracking scheme based on a gradient descent algorithm to optimize transmit power and phase feedback signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional uplink beamforming methods are used, then device complexity is reduced, but signal-to-noise ratio (SNR) at the base station is not maximized
Solution Approach 1:
The patent changes the parameters of the uplink beamforming configuration by determining configuration parameters (such as phase feedback signals and transmit power control signals) based on signal quality indicators received from the base station. This allows dynamic adjustment of beamforming parameters to maximize SNR while managing device complexity through algorithmic optimization.
Solution Approach 2:
The patent implements a feedback mechanism where the base station provides signal quality indicators to the user equipment, which then uses these indicators to determine optimal configuration parameters for the second uplink beam. This closed-loop feedback system enables continuous optimization of SNR based on actual channel conditions.
2Productivity
If configuration parameters are determined based on signal quality indicators and look-up tables, then data transmission efficiency is improved, but processing time increases
Solution Approach 1:
The patent uses pre-computed look-up tables that map signal quality indicators to optimal configuration parameters. By performing the computationally intensive calculations in advance and storing the results in look-up tables, the system reduces real-time processing requirements while maintaining optimal beamforming performance for efficient data transmission.
Solution Approach 2:
The patent implements an adaptive tracking scheme that dynamically adjusts beamforming parameters based on changing channel conditions. The system can switch between different operational modes (using look-up tables for stable conditions, gradient descent algorithms for optimizing SNR) to balance processing time and transmission efficiency according to current network conditions.
3Reliability
If adaptive tracking scheme with gradient descent algorithm is employed, then SNR is maximized, but computational complexity increases
Solution Approach 1:
The patent implements an adaptive tracking scheme that dynamically adjusts beamforming parameters using a gradient descent algorithm to maximize SNR. The system adaptively updates configuration parameters based on feedback from the base station, enabling continuous optimization of signal quality while managing computational complexity through iterative refinement rather than exhaustive search.
Solution Approach 2:
The patent applies gradient descent optimization selectively to track and optimize the most critical configuration parameters that have the greatest impact on SNR. Rather than optimizing all parameters simultaneously, the system focuses computational resources on the most influential parameters, achieving near-optimal SNR with reduced computational complexity.
Data Source
AI summary
A method of data transmission includes receiving, by a user equipment (UE) from a base station (BS), a configuration message including one or more signal quality indicators associated with configuration parameters of a first uplink beam and determining, by the UE, configuration parameters associated with a second uplink beam. The determining is based on: the one or more signal quality indicators associated with configuration parameters of the first uplink beam and the configuration parameters of the first uplink beam. The method further includes configuring, by the UE, the second uplink beam based on the determined configuration parameters for the second uplink beam and transmitting, by the UE to the BS, uplink data or control information using the second uplink beam.