LTE Slave Mode Network Search Optimization
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Solution Overview
Problem
In LTE slave mode, searching a network with many frequency points is time-consuming and power-intensive, leading to potential message loss in the master mode if too few measurement gaps are allocated, while too many gaps prolong network access to high-speed transmission modes.
Innovation Solution
A method and system that orders frequency points by signal strength and selects N optimally strong points for cell search, with the option to switch to remaining points or a normal measurement gap allocation if no cell is found, optimizing the number of measurement gaps based on predetermined time periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all frequency points are measured in turn using multiple measurement gaps, then the network search coverage is complete, but the network search time and power consumption increase significantly
Solution Approach 1:
The patent performs preliminary signal strength measurement on all frequency points before the main cell search process. This preliminary action identifies and ranks frequency points by their signal strength, allowing the system to prioritize measurement of the most promising frequency points first, thereby reducing overall search time while maintaining reliable coverage.
Solution Approach 2:
The patent segments the frequency points into different priority groups based on signal strength measurements. High-priority frequency points (those with stronger signals) are measured first using fewer measurement gaps, while lower-priority points can be measured later or skipped if time is constrained. This segmentation resolves the contradiction by making the search process adaptive rather than uniform.
2Reliability
If many measurement gaps are allocated for measuring frequency points, then the cell search coverage is improved, but messages may be missed in the current master mode causing service loss
Solution Approach 1:
The system performs preliminary signal strength assessment of frequency points before allocating measurement gaps for cell search. This preliminary action allows the system to identify which frequency points are most likely to yield successful cell searches, enabling selective allocation of measurement gaps only to high-priority frequency points rather than distributing gaps uniformly across all frequency points.
Solution Approach 2:
The patent applies partial action by measuring only the most promising frequency points (those with highest signal strength) using a limited number of measurement gaps. Instead of exhaustively measuring all frequency points, the system performs sufficient measurement on high-priority points to achieve acceptable cell search coverage, thereby avoiding the service loss that would result from allocating too many measurement gaps.
3Loss of information
If few measurement gaps are allocated, then service loss is reduced, but the LTE cell is hardly searched and the terminal cannot switch to high-speed transmission mode
Solution Approach 1:
The patent performs preliminary signal strength measurement and ranking of frequency points before the cell search phase. This preliminary action provides the system with knowledge about which frequency points are most promising, enabling efficient allocation of limited measurement gaps to high-priority frequency points, thereby maximizing LTE cell search success probability even with few measurement gaps available.
Solution Approach 2:
The patent changes the parameter of measurement gap allocation from a uniform distribution across all frequency points to a non-uniform distribution based on signal strength. Frequency points with higher signal strength receive more measurement gaps, while those with lower signal strength receive fewer or no gaps. This parameter change optimizes the trade-off between service loss and LTE cell search success.
Data Source
AI summary
Method and system for searching network in a Long Term Evolution (LTE) slave mode are provided. The method includes: determining whether the number of frequency points to be measured is greater than N, wherein N is a positive integer; if the number is greater than N, ordering the frequency points to be measured according to their signal strength; selecting, from the ordered frequency points to be measured, N frequency points whose signal strength is greater than other ordered frequency points as optimally selected frequency points; and performing cell search based on the optimally selected frequency points. Based on the above method, the cell search is performed by measuring the N optimally selected frequency points. In this way, the number of measured frequency points is reduced, and a time period for measuring each optimally selected frequency point is prolonged. Therefore, the possibility of finding a cell may be increased.