Wireless Band Selection Manager Prioritizing High Throughput
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Solution Overview
Problem
Selecting the appropriate wireless band for user equipment (UE) in telecommunications networks can result in a lower user experience due to the use of bands with lower bandwidth, as existing technologies prioritize the first available band rather than higher bandwidth options.
Innovation Solution
UE devices are designed to search for and prioritize higher bandwidth wireless bands over lower bandwidth options, even if they are found later in the search process, within a specified search period, to ensure connection to the band providing the best throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If UE connects to the first available wireless band found during search, then connection speed is improved, but bandwidth and throughput are reduced
Solution Approach 1:
The system performs preliminary classification of available wireless bands into first, second, and third bands based on their characteristics (such as frequency range and bandwidth) before the UE makes a connection decision. This preliminary categorization allows the UE to prioritize higher bandwidth bands while maintaining fast connection establishment.
Solution Approach 2:
The invention changes the selection parameter from simply 'first found' to a multi-parameter decision process that considers band classification, available bandwidth, and signal quality. The UE evaluates multiple parameters simultaneously to select the optimal band, transforming a single-parameter (connection speed) decision into a multi-parameter optimization problem.
2Productivity
If UE prioritizes higher bandwidth wireless bands, then throughput is improved, but search time and complexity increase
Solution Approach 1:
The network performs preliminary classification of wireless bands into hierarchical categories (first, second, third bands) based on bandwidth characteristics. This pre-organization of band information allows the UE to efficiently search and prioritize higher bandwidth bands without performing complex real-time analysis, thus reducing search time while maximizing throughput.
Solution Approach 2:
The system applies different search and selection strategies to different band categories. Higher bandwidth bands (first band) are prioritized with enhanced search efforts, while lower bandwidth bands serve as fallback options. This localized quality approach ensures that resources are concentrated on finding optimal high-throughput bands without unnecessarily extending the overall search time.
Data Source
AI summary
A user equipment (UE) may perform multiple searches within a specified search period to locate the wireless band that provides the most throughput. For instance, if the UE finds a low band with time remaining in the search period, the UE continues to search for a higher frequency wireless. In some examples, the UE attempts to locate a high band within a next portion of the search period. If the UE finds the high band, then the UE will use that band since it provides the most throughput of the available bands. If the UE does not find the high band, then the UE searches for a mid-band for another portion of the search time. By prioritizing higher bands over the first available band that is located in the initial search, the UE will connect to the band that provides the best user experience and the most throughput.