Application Intelligence Controller for Wireless Network Efficiency
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Solution Overview
Problem
Current wireless communication systems lack effective monitoring and control mechanisms for application services and data consumption in user equipment, leading to inefficient network operation and connectivity issues.
Innovation Solution
Implementing an application intelligence controller in base stations to determine application service consumption, obtain channel quality information, and apply treatments such as prioritized delivery or redirection of data packets based on this information, using evolved node B (eNodeB) base stations with processors and memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional wireless communication systems are used without application intelligence control, then the system structure remains simple, but network efficiency and data management capability deteriorate
Solution Approach 1:
An application intelligence controller is introduced as an intermediary component between the base station and the core network. This controller monitors application services, analyzes channel quality information, and applies treatments to data packets, thereby improving network efficiency without requiring complex changes to the entire wireless communication system architecture.
Solution Approach 2:
The application intelligence controller enables the base station to autonomously monitor application services, obtain channel quality information, and apply appropriate treatments to data packets. This self-service capability allows the system to optimize network efficiency locally without requiring constant centralized control, reducing the complexity of overall system management.
2Ease of operation
If application monitoring and control is implemented, then data management capability is improved, but the complexity of base station functionality increases
Solution Approach 1:
The base station functionality is segmented into distinct modules: an application intelligence controller for monitoring and control, a channel quality information obtainer for data collection, and a treatment applicator for data packet manipulation. This segmentation allows each component to perform its specific function independently, improving data management capability while organizing complexity into manageable units.
3Reliability
If real-time channel quality information is obtained and applied, then connectivity is enhanced, but the processing overhead increases
Solution Approach 1:
The application intelligence controller proactively monitors application services and obtains channel quality information before data transmission issues occur. By performing these actions in advance, the system can apply appropriate treatments to data packets, enhancing connectivity reliability while minimizing the need for reactive processing that would consume additional time.
Data Source
AI summary
A system, a method, an apparatus, and a computer program product for transmission of data packets are disclosed. A determination is made whether an application service is being consumed by user equipment. Channel quality information is obtained for a channel being used by the user equipment to consume the application service. Based on the obtained channel quality information, a treatment is applied to the application service being consumed by the user equipment.