Uplink Power Control Using Adaptive SINR-Based Nominal Parameters
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Solution Overview
Problem
The conventional method of determining the uplink nominal power parameter in 5G NR networks is static and does not account for varying environmental conditions, leading to inaccurate settings that can cause initial transmission failures or interference, especially in scenarios where user equipment (UE) frequently switches between cells.
Innovation Solution
A system that automatically optimizes the uplink nominal power parameter by analyzing received signal-to-interference-and-noise ratios (SINR) through a cellular node, using statistical metrics like mean, standard deviation, histogram, or cumulative distribution functions to adjust the power control parameter dynamically based on environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the nominal power parameter is statically determined by the network based on gNB receiver design and interference margins, then the system complexity is reduced and ease of operation is improved, but the reliability deteriorates due to inaccurate power settings in varying environmental conditions
Solution Approach 1:
The system implements feedback by measuring the actual received SINR of initial uplink transmissions and using this information to adjust the nominal power parameter. The gNB monitors the SINR of initial transmissions from multiple UEs and uses statistical metrics (mean, standard deviation) to determine whether to increase or decrease the nominal power parameter for subsequent connections, creating a closed-loop control system that adapts to environmental conditions.
Solution Approach 2:
The system performs self-service by automatically optimizing its own power control parameters without requiring manual intervention. The gNB autonomously collects SINR measurements, calculates statistical metrics, determines the appropriate adjustment direction, and updates the nominal power parameter independently, enabling the network to self-optimize based on observed transmission conditions.
2Reliability
If the nominal power parameter is increased to ensure successful initial transmissions, then the reliability is improved, but the object-generated harmful factors worsen due to increased interference to other UEs
Solution Approach 1:
The system uses feedback from measured SINR values to determine the appropriate nominal power parameter adjustment. By monitoring actual transmission conditions and using statistical analysis of multiple measurements, the system identifies the minimum power level needed for successful transmissions, avoiding excessive power increases that would cause interference to other UEs while still ensuring reliable initial transmission success.
3Object-generated harmful factors
If the nominal power parameter is decreased to minimize interference to other UEs, then the object-generated harmful factors are reduced, but the reliability worsens due to initial transmission failures
Solution Approach 1:
The system employs feedback mechanisms to monitor the actual SINR of initial transmissions and adjusts the nominal power parameter accordingly. By analyzing statistical metrics of measured SINR values, the system determines the optimal power level that ensures successful transmissions while minimizing unnecessary interference, preventing both transmission failures and excessive interference.
Solution Approach 2:
The system dynamically changes the nominal power parameter based on observed transmission conditions. By collecting SINR measurements over time and analyzing statistical trends, the system identifies when parameter adjustments are needed and implements changes to optimize the balance between transmission reliability and interference minimization for specific uplink channels.
Data Source
AI summary
Automatic optimization of the nominal power parameter in uplink power control (e.g., using a computerized tool), is enabled. For example, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise determining ratio data representative of a received signal to interference and noise ratio of a transmission, of a group of cellular transmissions, via a cellular node. The operations can further comprise, based on the ratio data, determining a power control metric applicable to uplink power control for user equipment. The operations can further comprise, based on the power control metric, determining a nominal power parameter for each uplink channel involving the cellular node. The operations can further comprise applying the nominal power parameter to subsequent connections made via the cellular node subsequent to the determining of the nominal power parameter.