Adaptive Network Search Algorithm for Wireless Devices
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Solution Overview
Problem
Wireless devices face challenges in balancing power consumption and performance during out-of-service scenarios, as current network search policies do not account for battery life or device activity levels, leading to inefficient power usage and reduced battery life.
Innovation Solution
Implementing an adaptive network search algorithm that adjusts scanning frequency and intensity based on battery life and device activity, such as reducing search duration and increasing sleep periods when battery levels are low or the device is inactive, to conserve power and extend battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If network search is performed frequently and intensively in out-of-service scenarios, then service recovery speed is improved, but power consumption increases
Solution Approach 1:
The network search policy transitions from a static configuration to a dynamic one that adapts based on battery power levels and device activity state. The system continuously monitors these parameters and adjusts search frequency and intensity accordingly, implementing different search behaviors for high-power vs. low-power modes to resolve the contradiction between service recovery speed and power consumption.
Solution Approach 2:
The patent changes key parameters of the network search process (search duration, search frequency, sleep period length) based on the device's current state. When battery level is low or device is inactive, parameters are adjusted to reduce power consumption; when battery is充足 and device is active, parameters are optimized for faster service recovery.
2Measurement precision
If network search duration is extended, then service detection accuracy is improved, but battery life is reduced
Solution Approach 1:
The system performs partial network searches rather than continuous full-duration searches. By conducting shorter search intervals with sleep periods in between, the system achieves adequate service detection while significantly reducing overall power consumption, thus preserving battery life.
Solution Approach 2:
The network search is implemented as a periodic process with alternating search and sleep phases. This periodic action allows the system to detect service when available while consuming less power compared to continuous searching, effectively balancing detection accuracy with battery life conservation.
Data Source
AI summary
Adaptive out-of-service search behavior by a wireless user equipment (UE) device. The UE may perform cellular communications according to a radio access technology (RAT). It may be determined that cellular service according to the RAT is not available. A search algorithm may be selected from at least two possible search algorithms. A search for cellular service according to the RAT may be performed according to the search algorithm. The various possible search algorithms may specify different ratios of time spent scanning for cellular service to time spent sleeping. The selected search algorithm may be chosen based on any or all of an estimated remaining battery life of the UE, a user activity level, user input, or various other considerations.