Indoor Outdoor Traffic Identification for Network Capacity Planning
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Solution Overview
Problem
Telecommunications networks face challenges in identifying whether network usage traffic is generated indoors or outdoors, particularly in high-density areas, leading to inefficient capacity planning and wasted costs due to the lack of tailored solutions for congestion management.
Innovation Solution
A system and method that utilize data aggregation from various sources, including customer geolocation data and network data, to generate demand density maps, enabling the identification of indoor and outdoor traffic patterns and optimizing capacity improvement solutions deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If telecommunications networks deploy capacity improvement solutions without identifying indoor/outdoor traffic patterns, then network capacity can be expanded, but costs increase and inefficiencies occur due to lack of tailored solutions
Solution Approach 1:
The patent segments network traffic into indoor and outdoor categories by analyzing geolocation data and network measurement data. This segmentation enables targeted capacity improvement solutions for each traffic type, avoiding the waste of deploying inappropriate solutions (e.g., outdoor solutions for indoor congestion) and thereby reducing costs while improving expansion efficiency.
Solution Approach 2:
The patent applies local quality by tailoring capacity improvement solutions to specific locations and traffic types. By identifying whether congestion occurs indoors or outdoors at specific cell sites, the network can deploy appropriate solutions (e.g., indoor distributed antenna systems for indoor congestion, small cells for outdoor congestion), optimizing resource allocation and reducing wasted expenditures.
2Reliability
If telecommunications networks use traditional congestion management without indoor/outdoor identification, then network coverage can be maintained, but measurement precision and targeting accuracy deteriorate
Solution Approach 1:
The patent implements feedback mechanisms by continuously collecting geolocation data, network measurement data, and congestion indicators from mobile devices and cell sites. This feedback loop enables the system to accurately identify indoor/outdoor traffic patterns in real-time, improving measurement precision while maintaining reliable network coverage through adaptive capacity management.
Solution Approach 2:
The patent replaces traditional mechanical/manual methods of congestion identification with automated electronic systems that analyze geolocation data, network measurements, and traffic patterns using computers and algorithms. This substitution significantly improves measurement precision and targeting accuracy while maintaining network coverage reliability through automated decision-making.
3Productivity
If telecommunications networks deploy capacity solutions without indoor/outdoor classification, then network capacity can be increased, but device complexity and data processing requirements increase unnecessarily
Solution Approach 1:
The patent creates a universal data aggregation system that collects multiple types of data (geolocation, network measurements, congestion indicators) through a single integrated platform. This multi-functional system efficiently processes diverse data sources to identify indoor/outdoor traffic patterns, achieving necessary device complexity only once while enabling precise capacity planning that actually increases network capacity.
Solution Approach 2:
The patent performs preliminary classification of traffic into indoor/outdoor categories before deploying capacity improvement solutions. By pre-processing and categorizing traffic data in advance, the system reduces the complexity of subsequent capacity planning and deployment, as the classification framework is already established and can be applied systematically to identify appropriate solutions.
Data Source
AI summary
Systems and methods to identify whether user traffic is generated indoors (e.g., from within a building) or outdoors for a variety of applications, including improving capacity planning, identifying new products offerings, troubleshooting/planning, competitive analysis, planning optimum locations of capacity planning solution deployment, traffic offload analysis, etc. are disclosed. The method receives and aggregates data from a variety of sources, including customer geolocation data, network data, street/building maps, indoor/outdoor classification of traffic, etc. to generate demand density maps that depict network traffic usage patterns at a building level. The method can then use the demand density maps to identify hotspots, evaluate in-building coverage, and select and rank optimum solutions and/or locations for capacity improvement solutions deployment. As a result, a telecommunications service provider is able to efficiently and economically identify targeted solutions and locations to expand capacity of cell sites and improve customer experiences.