Network Search Method Using Equivalent Frequency Points
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Solution Overview
Problem
Existing network search methods in terminal devices are inefficient, particularly when no networks are available, leading to prolonged search times and reduced registration success rates.
Innovation Solution
The method involves acquiring an equivalent frequency point from a stored frequency point of a previously registered network and using it to search for a mobile network, thereby reducing the search scope and improving efficiency by registering networks based on operator information and signal strength analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full-band network search is performed, then network coverage is ensured, but network search time is prolonged
Solution Approach 1:
The terminal performs preliminary actions by acquiring equivalent frequency points from stored frequency points of previously registered networks before conducting the actual network search. This preliminary preparation allows the search to focus on specific frequency points rather than performing a comprehensive full-band search, thereby reducing search time while maintaining registration reliability.
Solution Approach 2:
The invention changes the search parameter from a full-band frequency range to specific equivalent frequency points derived from stored network frequency information. By transforming the search scope from broad to targeted, the system achieves faster network acquisition while ensuring reliable registration through the use of historically validated frequency points.
2Reliability
If full-band network search is performed, then network search completeness is ensured, but search efficiency is reduced
Solution Approach 1:
The invention extracts the essential search targets (equivalent frequency points) from the complete frequency band by utilizing stored frequency point information from previously registered networks. This extraction process identifies and isolates the most relevant frequency points for search, eliminating unnecessary scanning of unrelated frequency ranges while maintaining search completeness for available networks.
Solution Approach 2:
By performing preliminary analysis to acquire equivalent frequency points before the actual network search, the system prepares a targeted search list in advance. This preliminary action enables the search process to focus efficiently on predetermined frequency points, significantly improving search efficiency without compromising the completeness of network detection.
3Adaptability or versatility
If network search is performed without stored frequency information, then all networks can be detected, but search time increases
Solution Approach 1:
The invention transforms the search approach by changing from a broad parameter range (full frequency band) to specific parameter values (equivalent frequency points). By utilizing stored frequency information to identify equivalent frequency points, the system maintains adaptability to detect available networks while dramatically reducing the time required for network search.
Solution Approach 2:
The system performs preliminary acquisition of equivalent frequency points from stored information before executing the network search. This preliminary preparation creates a focused search strategy that adapts to local network conditions based on historical data, enabling efficient detection of available networks without the time penalty of a complete full-band search.
Data Source
AI summary
A method for network search includes: an equivalent frequency point of a stored frequency point is acquired, the stored frequency point includes a frequency point of a registered network; and a mobile network is searched for according to the equivalent frequency point, to determine a mobile network to be registered.