Beam Selection Platform for 5G Indoor Signal Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
5G telecommunication networks face challenges in providing reliable indoor connectivity due to signal obstruction by clutter, furniture, and walls, particularly when using centimeter wave (cmWave) or millimeter wave (mmWave) bands, leading to fluctuations in signal strength and poor connectivity.
Innovation Solution
A beam selection platform that utilizes historical signal strength data to create a map of radio signal beams within a building, continuously monitoring and updating beam selections to optimize communication through cmWave or mmWave bands by identifying and prioritizing beams with stronger signal strengths, even as the user equipment (UE) moves within the building.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If cmWave or mmWave bands are used for 5G communication, then ultra-high speeds and ultra-low latencies are achieved, but signal strength fluctuates and connectivity deteriorates due to obstruction by clutter, furniture, and walls
Solution Approach 1:
The system dynamically adapts beam selection based on real-time signal strength measurements and historical data. The beam selection platform continuously updates the map of radio signal beams and adjusts beam recommendations as UE moves through the building, making the system responsive to changing indoor conditions rather than static
Solution Approach 2:
The system pre-generates a comprehensive map of radio signal beams using historical signal strength data before actual communication occurs. This preliminary mapping allows the system to anticipate signal quality at different locations and proactively select optimal beams before connectivity issues arise
2Reliability
If lower frequency bands are used to avoid signal obstruction, then connectivity is improved, but available frequency range is limited causing congestion and latency
Solution Approach 1:
The system changes the parameter of beam selection based on location and environmental conditions. By utilizing a map generated from historical data, the system dynamically adjusts which beams are recommended to UE depending on their position within the building, optimizing for both reliability and speed based on real-time conditions
3Device complexity
If beam selection is made without historical data, then system complexity is reduced, but signal strength optimization is insufficient
Solution Approach 1:
The system performs preliminary data collection and processing by generating a comprehensive map of radio signal beams using historical signal strength data before actual beam selection is needed. This upfront work stores environmental characteristics so that subsequent beam selections can be made quickly and accurately without real-time complexity
Data Source
AI summary
A device may obtain, from a user equipment (UE), first information relating to one or more signal strengths measured by the UE. A signal strength of the one or more signal strengths may be associated with a beam of a radio node. The device may identify, based on the first information, a particular signal strength that is associated with a particular beam. The device may select, based on the particular beam, one or more related beams that are associated with the particular beam. The one or more related beams may be associated with the particular beam based on historical data relating to historical signal strengths measured by a plurality of UEs. The device may provide, to the UE, second information that identifies the one or more related beams selected, to permit the UE to communicate using the one or more related beams.