Wireless Session Analysis for Application Selection
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Solution Overview
Problem
End users face difficulty in selecting the best voice or multimedia application for wireless communication sessions due to unclear network quality and dynamic factors like firewall interference, making it hard to evaluate performance metrics such as latency, bandwidth, and QoS.
Innovation Solution
A method for session analysis in wireless communication networks that involves collecting and evaluating session reports from wireless terminals, generating performance-based application lists, and distributing these lists via cell broadcast messages to assist users in selecting suitable applications based on network conditions and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually evaluate network quality and select applications, then user control is maintained, but selection accuracy deteriorates due to unclear network quality and dynamic factors
Solution Approach 1:
The system enables self-service by allowing wireless terminals to automatically collect session information, evaluate performance metrics, and receive application recommendations without manual user intervention. The terminal autonomously gathers network quality data, session performance data, and firewall information, then processes this through the network node to obtain tailored application recommendations.
Solution Approach 2:
A network node acts as an intermediary between wireless terminals and application selection. The network node receives session reports from terminals, collects network quality information and firewall data, evaluates overall session performance, and generates application recommendations. This intermediary consolidates multiple data sources and processing functions that would otherwise require complex user-side evaluation.
2Measurement precision
If comprehensive session information is collected and analyzed, then recommendation accuracy improves, but network overhead increases
Solution Approach 1:
The system applies partial action by collecting only the most critical session information and performance metrics needed for effective application recommendation. Rather than gathering exhaustive data, the system focuses on key parameters such as session performance data, network quality metrics, and firewall status, achieving sufficient recommendation accuracy with minimized data collection overhead.
3Reliability
If real-time performance evaluation is performed, then session optimization improves, but processing time increases
Solution Approach 1:
The system performs preliminary action by continuously monitoring and evaluating session performance in the background during ongoing communications. The network node and terminal collect session information and performance metrics throughout the session duration, allowing evaluation results to be ready when needed for application recommendations without interrupting the actual communication session.
Data Source
AI summary
It is presented a method for session analysis in a wireless communication network. The method is performed in a network node of the wireless communication network and comprises receiving a session report from a wireless terminal, the wireless terminal being within a coverage region of the wireless communication network, obtaining a network report associated with the session report, and storing a session network report associated with performance of the obtained network report and performance of the received the session report, for the coverage region. It is also presented a network node, a wireless terminal, a computer program and a computer program product thereof.