Multi-Connectivity Energy Saving for Mobile Devices
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Solution Overview
Problem
Mobile devices with multi-connectivity functionality, such as smartphones and smart watches, face high power consumption when operating multiple communication interfaces, limiting their battery life and interfering with the multi-connectivity approach required in Hybrid Access environments.
Innovation Solution
A method that measures device conditions and compares them to a stored listing to initiate an energy-saving program, which reduces multi-connectivity by limiting or deactivating communication interfaces, thereby reducing energy consumption and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple communication interfaces are operated simultaneously in a mobile device, then connectivity reliability and data throughput are improved, but power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts the number of active communication interfaces based on real-time conditions. The processor monitors connection status, data transmission requirements, and power levels, then selectively activates or deactivates interfaces (cellular, Wi-Fi, Bluetooth) to maintain necessary connectivity while minimizing power consumption. This dynamic adaptation resolves the contradiction by making the system flexible rather than static.
Solution Approach 2:
The system changes operational parameters by adjusting power states of communication interfaces based on measured conditions. When power levels are sufficient and connectivity requirements are high, interfaces operate at full power. When power is limited or connectivity requirements are low, the system transitions interfaces to lower power states or complete shutdown, thereby reducing power consumption while maintaining adequate connectivity.
2Productivity
If multiple communication interfaces are activated for multi-connectivity, then data throughput and network performance are enhanced, but battery life is reduced
Solution Approach 1:
The system applies partial action by activating only the necessary number of communication interfaces required to meet current data throughput requirements, rather than keeping all interfaces continuously active. The processor evaluates whether full multi-connectivity is needed or if partial connectivity through fewer interfaces suffices, thereby extending battery life while maintaining adequate data transmission capability.
Solution Approach 2:
The system implements periodic monitoring and adjustment of interface activation states. The processor regularly measures power levels, connection status, and data transmission needs, then periodically re-evaluates which interfaces should be active. This periodic action allows the system to extend battery life by reducing interface activity during periods when full throughput is not required, while restoring full functionality when needed.
3Use of energy by moving object
If communication interfaces are deactivated for energy saving, then power consumption is reduced, but connectivity performance and reliability deteriorate
Solution Approach 1:
The system employs feedback mechanisms where the processor continuously monitors connection status, signal strength, and data transmission performance of active interfaces. When interfaces are deactivated for energy saving, the system receives feedback about connectivity quality and adjusts its decisions accordingly. If feedback indicates that connectivity performance is deteriorating below acceptable thresholds, the system re-activates interfaces to restore performance, thus resolving the contradiction through closed-loop control.
Solution Approach 2:
The system takes preliminary action by maintaining certain communication interfaces in a standby or partially active state rather than complete shutdown, allowing for faster reactivation when connectivity performance needs to be restored. This preliminary preparation ensures that when energy-saving deactivation threatens connectivity performance, the system can quickly restore functionality without significant performance degradation.
Data Source
AI summary
A method for reducing the energy consumption of a mobile device includes: measuring condition values of the mobile device by a measuring unit associated to the mobile device; comparing the measured condition values of the mobile device to entries of a condition listing, wherein the condition listing is stored in a memory unit of the mobile device; and initiating an energy saving program of the mobile device upon detecting a match of the measured condition values and an entry of the condition listing. The entries of the condition listing comprise the following measuring condition values of the mobile device: a display state, an activity state, a traffic consumption value, a traffic stream value, an SSID state, a BSSID state, an ESSID state, authentication information, and/or access type information.