Dynamic Wireless Link Power and Security Adjustment
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Solution Overview
Problem
Existing wireless communication systems for user equipment devices in enterprise mobile networks face challenges in adaptively adjusting power and security levels to ensure secure connections while preserving battery life, especially due to varying connectivity demands and infrastructure capabilities.
Innovation Solution
A network-assisted and automated power and security level adjustment system that dynamically adjusts wireless link configurations and antenna configurations at user equipment devices based on real-time connectivity metrics and requirements, prioritizing cellular links for secure data transmission and optimizing power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power and security levels are increased to ensure secure connections, then security and connection quality are improved, but battery life deteriorates
Solution Approach 1:
The system dynamically adjusts power and security levels based on real-time connectivity metrics and requirements. The network-assisted and automated adjustment mechanism continuously monitors connection quality and battery status, then adapts transmission power, security protocols, and antenna configurations to maintain secure connections while minimizing energy consumption. This dynamic adaptation resolves the contradiction by making power and security levels variable rather than fixed.
Solution Approach 2:
The system changes multiple parameters simultaneously including transmission power levels, security protocol selection, antenna configuration, and link aggregation settings. By adjusting these parameters based on connectivity metrics and battery status, the system optimizes the balance between connection security and energy consumption, allowing secure communication when necessary while preserving battery life during normal operations.
2Reliability
If wireless link configurations are optimized for secure data transmission, then security is improved, but device complexity increases
Solution Approach 1:
The system implements self-service through automated configuration adjustment mechanisms. The UE and network infrastructure automatically monitor connectivity metrics, assess security requirements, and adjust wireless link configurations without manual intervention. This automation reduces the perceived complexity for users while maintaining high security standards through algorithmic decision-making about power levels, security protocols, and antenna settings.
Solution Approach 2:
The system employs continuous feedback loops where connectivity metrics and security requirements are monitored, then used to adjust configurations in real-time. This feedback mechanism allows the system to respond adaptively to changing conditions, maintaining secure data transmission while managing complexity through automated control rather than static complex configurations.
3Reliability
If multiple wireless links are aggregated for enhanced connectivity, then connection reliability is improved, but power consumption increases
Solution Approach 1:
The system applies partial action by selectively activating only the necessary number of wireless links based on current connectivity requirements and battery status. Rather than continuously maintaining all possible links for maximum reliability, the system dynamically determines the optimal subset of links to activate, providing sufficient connectivity reliability while minimizing power consumption by keeping unnecessary links inactive.
Data Source
AI summary
An information handling system of a management and orchestration module (MANO) may comprise a processor configured to determine user equipment device (UE) connectivity requirements for multiple UEs managed by the MANO, including a first UE transceiving via a first secure wireless link and a Wireless Local Area Network (WLAN) antenna with a non-cellular Access Point (AP), determine enterprise profile requirements for the UEs and detected network conditions of radio access networks (RANs) and cores of an enterprise mobile network, generate an optimal wireless link distribution across UEs that prioritizes access for the first UE to links with RANs, and determine a wireless link configuration adjustment for the first UE instructing termination of the first secure wireless link and establishment of a second secure wireless link with a RAN, according to the optimal wireless link distribution. A network interface device may transmit the wireless link configuration adjustment to the first UE.