Base Station Cell Parameter Optimization for Coverage Holes

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Solution Overview

Problem

Existing optimization techniques for wireless cellular networks, such as drive test measurements, are costly, time-consuming, and fail to address indoor coverage issues, leading to poor RF quality and increased interference in densely deployed LTE networks, resulting in coverage holes and degraded user experience.

Innovation Solution

A method and system for automatically optimizing at least one cell parameter of a serving base station to address coverage holes by receiving and analyzing RF coverage power and Signal-to-Interference Noise Ratio (SINR) parameters, identifying coverage holes, and iteratively optimizing cell parameters like electrical tilt and power attenuation to achieve target values, ensuring effective coverage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If drive test measurements are used for network optimization, then coverage holes can be identified, but the process becomes costly and time-consuming

Engineering Contradiction:

Improvecoverage hole identification accuracyVSAvoidoptimization time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The network system performs self-optimization by automatically identifying coverage holes using real-time measurement data from user equipment and neighboring base stations, eliminating the need for manual drive tests. The system autonomously analyzes coverage metrics, identifies problematic areas, and adjusts cell parameters without human intervention.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously collects feedback from network measurements including RSRP, SINR, and coverage metrics from user equipment and neighboring cells. This feedback loop enables real-time detection of coverage holes and triggers automatic optimization actions, replacing periodic manual drive tests with continuous automated monitoring.

Inventive Principle:

Principle #23Feedback

2Productivity

If more base stations are deployed to meet capacity demands, then network capacity increases, but interference increases and RF quality degrades

Engineering Contradiction:

Improvenetwork capacityVSAvoidinterference

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system dynamically adjusts cell parameters such as electrical tilt, mechanical tilt, and transmit power based on real-time coverage and interference conditions. By changing these parameters automatically, the system optimizes the balance between capacity and interference, allowing dense deployment while maintaining RF quality through continuous parameter optimization.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If manual optimization of cell parameters is performed, then coverage can be improved, but the process requires continuous human intervention and is not sustainable

Engineering Contradiction:

Improvecoverage qualityVSAvoidoperation complexity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system enables continuous optimization by automatically monitoring network conditions and adjusting cell parameters in real-time, replacing intermittent manual optimization efforts with sustained automated operation. This ensures coverage quality is maintained continuously without requiring repeated human intervention.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS12133092B2Automatically optimizing cell parameter of serving base station

Publication Date: 2024.10.29 JIO PLATFORMS LTD

AI summary

The present disclosure relates to automatically optimizing cell parameter(s) of serving base station(s) to effectively serve a coverage hole. In an embodiment, the system receives parameters such as at least one first parameter, at least one second parameter, at least one network performance parameter and the at least one cell parameter of the at least one serving base station. Further, based on the at least one network performance parameter, at least one coverage hole is identified from a coverage area (containing a plurality of sectors), wherein the coverage area is served by the at least one serving base station. Thereafter, a first optimization of the at least one cell parameter is performed and subsequently a first value of the at least one second parameter is determined. Further, a second optimization is performed if the first optimization is un-successful.