Multipath Bundling Wi-Fi Connection Selection
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Solution Overview
Problem
Existing technologies face challenges in efficiently exploiting available Wi-Fi networks for multipath bundling, particularly in moving scenarios where mobile terminals detect a majority of secured Wi-Fi networks with unknown credentials, leading to suboptimal data routing and increased costs.
Innovation Solution
A multipath bundling system that includes a mobile terminal with a Wireless Technologies Database (WTD) and a Self-Learning Wi-Fi Database (SLWD) on a network entity, utilizing a Search-Compare-Assign Algorithm (SCAA) to determine optimal Wi-Fi connections based on optimization criteria such as cost, latency, and reliability, enabling credential management and intelligent traffic routing between cellular and Wi-Fi networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile terminals connect to secured Wi-Fi networks with unknown credentials, then Wi-Fi connectivity is established, but data routing optimization is compromised and costs increase
Solution Approach 1:
The patent introduces a server as an intermediary that stores credential information for Wi-Fi networks. When a mobile terminal discovers a Wi-Fi network, it queries the server to obtain credentials and optimization criteria instead of being unable to connect due to unknown credentials. This mediator resolves the contradiction by providing the missing information through a third party.
Solution Approach 2:
The server pre-stores credential information and optimization criteria for Wi-Fi networks before mobile terminals need them. This preliminary preparation allows terminals to quickly obtain necessary credentials when discovering networks, eliminating the delay and uncertainty of credential acquisition.
2Ease of operation
If mobile terminals use cellular networks for data transmission, then connectivity is maintained, but data transmission costs increase
Solution Approach 1:
The system implements feedback mechanisms where mobile terminals report their connection status and the server provides optimized routing decisions. The server continuously monitors network conditions and provides updated credentials and optimization criteria, enabling terminals to switch from expensive cellular networks to cheaper Wi-Fi networks based on real-time feedback.
Solution Approach 2:
The patent changes the parameter of network selection by introducing optimization criteria that compare different network paths. Instead of always using cellular networks, the system evaluates Wi-Fi networks based on stored credentials and optimization parameters, selecting the most cost-effective path dynamically.
3Speed
If mobile terminals rely on available Wi-Fi networks without credential management, then connection speed is improved, but routing optimization is lost
Solution Approach 1:
The system enables self-service by allowing mobile terminals to autonomously query the server for credentials and optimization criteria, then automatically apply this information to optimize their own data routing decisions. The terminal serves itself by making intelligent routing choices based on server-provided information.
Data Source
AI summary
A multipath bundling system includes: a mobile terminal, comprising a Wireless Technologies Database (WTD) and a processor configured to run a multipath bundling protocol (MBP); and a network entity, wherein the network entity is an external server or a multipath bundling server, and wherein the network entity comprises a Self-Learning Wi-Fi Database (SLWD). The mobile terminal and/or the network entity is configured to run a Search-Compare-Assign Algorithm (SCAA). Running the SCAA includes: receiving input data from the WTD and/or the SLWD, the input data indicating information about wireless technologies, including information about at least one cellular connection and at least one Wi-Fi connection, usable by the mobile terminal for multipath bundling; and determining at least one Wi-Fi connection usable by the mobile terminal for multipath bundling based on the received input data in accordance with an optimization criterion.