Silent Period Utilization in Wireless Mobile Devices
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Solution Overview
Problem
Existing wireless devices do not efficiently utilize silent periods based on application needs and situational awareness, limiting their ability to perform tasks like proactive handoff, energy saving, and peer-to-peer information sharing.
Innovation Solution
Implementing a method for wireless mobile devices with multiple interfaces to automatically switch between modes such as QoS Enhancement, Network Discovery/Proactive Handoff, Energy Saving, and Chat with Devices modes, using application and situational awareness to control radio interface processes during silent periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless devices continuously monitor and switch between multiple network interfaces to enhance bandwidth and performance, then network connectivity and quality of service are improved, but energy consumption increases significantly
Solution Approach 1:
The system performs preliminary actions by proactively discovering and evaluating target networks during silent periods before handoff is needed. This includes obtaining network information, evaluating suitability, and preparing handoff parameters in advance, so that when handoff becomes necessary, the device can switch quickly without continuous monitoring, thereby reducing energy consumption while maintaining connectivity.
Solution Approach 2:
Instead of continuous monitoring, the system employs periodic action by activating network interface monitoring only during predetermined silent periods when no data transmission is occurring. The device switches between sleep mode and active monitoring periodically, allowing it to discover networks and perform evaluations only during these brief windows, thus significantly reducing overall energy consumption while maintaining network awareness.
2Speed
If wireless devices perform proactive handoff and network discovery during silent periods, then handoff speed and network switching efficiency are improved, but device complexity increases
Solution Approach 1:
The handoff process is segmented into distinct phases: silent period detection, target network discovery, network evaluation, and handoff execution. Each phase is handled by dedicated functional modules (silent period predictor, network discoverer, evaluator, etc.), allowing the complex handoff process to be broken down into manageable, independent tasks that can be executed sequentially during appropriate silent periods, reducing overall device complexity while maintaining speed.
Solution Approach 2:
The system performs preliminary network discovery and evaluation actions during silent periods before actual handoff is required. By obtaining network information, evaluating target networks, and preparing handoff parameters in advance, the device reduces the complexity of the actual handoff execution phase, as much of the complex processing has already been completed during the preparatory silent period.
3Productivity
If wireless devices utilize silent periods for multiple tasks including network discovery, handoff preparation, and peer-to-peer communication, then resource utilization efficiency is improved, but loss of time for critical operations increases
Solution Approach 1:
The system applies local quality by assigning different tasks to different silent periods based on their urgency and resource requirements. Critical operations like handoff preparation receive priority in silent periods with sufficient duration, while less time-sensitive tasks like peer-to-peer information sharing are scheduled in remaining silent periods. This localized task allocation optimizes resource utilization without causing delays in critical operations.
Solution Approach 2:
The system employs partial action by not attempting to fill every silent period with all possible tasks. Instead, it selectively performs only the necessary tasks during each silent period based on current device state and priorities. This prevents overloading the system and ensures that critical operations receive adequate attention and time, while still achieving good overall resource utilization through selective task execution.
Data Source
AI summary
A mobile apparatus is disclosed that includes: a plurality of network interfaces; a processor; the mobile being configured to monitor applications running on it, including real time or non real time nature of said applications; the mobile being configured to monitor its operating situation, including moving or non moving status; and the mobile being configured to control processes of the mobile during silent periods based on one or more of its application awareness and its operating situation awareness.


