NTN Cell Reselection Using Elevation Angle Trends
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Solution Overview
Problem
Wireless communication devices using non-terrestrial networks (NTN) experience excessive neighbor cell measurement requests and frequent cell reselections, leading to reduced battery life due to changing satellite coverage and received power levels.
Innovation Solution
Wireless terminals calculate elevation angle slope and trend to determine optimal times for cell reselection, using parameters broadcasted by the network to reduce unnecessary measurements and reselections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless terminals perform frequent neighbor cell measurements and cell reselections in NTN environments, then cell connectivity is maintained, but battery life is reduced due to excessive power consumption
Solution Approach 1:
The system performs preliminary actions by calculating elevation angle slopes and trends in advance to predict future cell suitability. This allows the terminal to proactively determine when cell reselection will be beneficial, avoiding reactive measurements that consume power without improving connectivity. The preliminary calculation of angular trends enables the system to anticipate coverage changes before they occur.
Solution Approach 2:
The cell reselection system serves itself by using internally calculated elevation angle data to make autonomous reselection decisions. The terminal independently computes slopes and trends from received signaling information, eliminating the need for continuous network-controlled measurement commands. This self-service mechanism reduces signaling overhead and power consumption while maintaining reliable connectivity through intelligent, data-driven decisions.
2Use of energy by moving object
If wireless terminals reduce cell measurements and reselections to save power, then battery life is extended, but cell connectivity may be compromised
Solution Approach 1:
The system implements feedback by continuously monitoring elevation angle measurements and calculating their slopes and trends. This feedback mechanism provides real-time information about satellite movement and coverage changes, enabling the terminal to make informed decisions about when cell reselection is necessary. The feedback loop ensures connectivity is maintained by triggering reselection only when angular trends indicate deteriorating signal conditions.
Solution Approach 2:
The invention changes the parameter used for cell reselection decisions from simple signal strength thresholds to dynamic elevation angle slope and trend calculations. By transforming the decision parameter from static to dynamic and predictive, the system can reduce measurement frequency while maintaining connectivity reliability. The parameter change enables the system to anticipate coverage loss before it occurs, allowing for more efficient power management.
3Device complexity
If wireless terminals use traditional cell reselection methods in NTN, then implementation is simple, but excessive cell reselections occur due to changing satellite coverage
Solution Approach 1:
The system performs preliminary calculations of elevation angle slopes and trends using signaling information received from the network. By computing these parameters in advance and storing them for later analysis, the terminal can make more accurate reselection decisions without increasing real-time processing complexity. The preliminary action phase separates heavy computation from the decision-making phase, maintaining implementation simplicity while improving efficiency.
Data Source
AI summary
A wireless terminal is described. The wireless terminal includes receiving circuitry configured to receive a neighbor cell signal and to determine a non-terrestrial network (NTN) neighbor cell for a cell reselection process based on a calculation using a neighbor cell received signal power.