Telecommunications Network Coverage Gap Detection
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Solution Overview
Problem
Telecommunications networks experience significant issues with network coverage, leading to dropped calls, connectivity problems, and inadequate data speeds, primarily due to inadequate site configuration and insufficient network site coverage, which existing technologies fail to efficiently address.
Innovation Solution
A system and method that determines lack of coverage by analyzing disconnection cause codes from user equipment, excluding known reasons for disconnection, and using key performance indicators to improve network coverage by adding new sites or adjusting operating parameters, such as antenna tilting and transmission power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network sites are configured to be optimized for an operator rather than users, then network operation control is simplified, but network coverage and user experience deteriorate
Solution Approach 1:
The system implements feedback mechanisms by collecting disconnection data from user equipment and analyzing cause codes to determine coverage issues. This feedback loop enables the network to automatically identify and respond to coverage problems, resolving the contradiction between simplified operator control and improved user coverage experience.
Solution Approach 2:
The network system performs self-diagnosis and self-optimization by automatically analyzing disconnection cause codes and determining coverage deficiencies without requiring manual operator intervention for each issue, thereby maintaining operational simplicity while improving coverage.
2Quantity of substance
If the number of network sites is insufficient, then network deployment cost is reduced, but network coverage and service reliability deteriorate
Solution Approach 1:
The system performs preliminary analysis of disconnection cause codes to identify potential coverage gaps before they become widespread problems. By proactively detecting and addressing coverage issues through cause code analysis, the network can optimize existing site configurations rather than continuously adding new sites.
Solution Approach 2:
The system optimizes network coverage by adjusting operational parameters of existing network sites based on analyzed disconnection data, such as modifying antenna tilting angles, transmission power levels, or resource allocation, thereby improving coverage without necessarily increasing the number of physical sites.
3Device complexity
If disconnection causes are not accurately identified, then network monitoring complexity is reduced, but coverage improvement effectiveness deteriorates
Solution Approach 1:
The system extracts and isolates specific cause codes from disconnection messages to identify the root causes of coverage issues. By separating and analyzing individual cause codes rather than treating all disconnections uniformly, the system achieves precise coverage gap identification while maintaining manageable monitoring complexity.
Data Source
AI summary
A system and method for improving network coverage is discussed herein. The system and method can improve network coverage based on lack of coverage key performance indicators generated by disconnection data when user equipment (UE) disconnects from and reconnects to a wireless network. The system determines if the disconnection is associated with a lack of coverage by the wireless network or some other reason. When the disconnection is due to lack of coverage, once the UE reconnects to the wireless network, lack of coverage data associated with the lack of coverage can be used to generate key performance indicators which can be used to improve network coverage. For example, an additional network site can be added to the network, a network site operating parameter can be adjusted, or the like.