Carrier Selection in Wireless Networks Using Frequency Dependency
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Solution Overview
Problem
Current wireless devices, especially IoT devices with long battery life targets like 10 years, face inefficiencies in power saving mechanisms, particularly in carrier selection when waking up from low-power states, leading to non-optimal transmission and potential missed paging information due to frequency changes during extended power-saving modes.
Innovation Solution
A method where a network node provides an indication of frequency dependencies based on location and time instances to user equipment, allowing it to select the appropriate frequency and cell for connection, optimizing carrier selection and reducing unnecessary handovers or missed signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If wireless devices extend sleep time periods to save power, then battery life is improved, but carrier selection accuracy deteriorates due to frequency changes during extended power-saving modes
Solution Approach 1:
The network node provides frequency dependency information to the wireless device before the device enters power-saving mode. This preliminary action enables the device to calculate and determine the appropriate frequency to monitor upon waking without needing to perform extensive frequency measurements after waking, thus maintaining carrier selection accuracy while extending sleep duration.
Solution Approach 2:
The network node acts as an intermediary by providing frequency dependency information that mediates between the device's power-saving needs and the network's requirement for accurate carrier selection. This information serves as a bridge, allowing the device to make informed frequency selection decisions without continuous network interaction during sleep periods.
2Reliability
If wireless devices perform extensive frequency measurements upon waking, then carrier selection accuracy is improved, but power saving effectiveness deteriorates due to increased activation time
Solution Approach 1:
Frequency dependency information is provided to the device before it enters power-saving mode, enabling preliminary calculation of the appropriate frequency. This eliminates the need for extensive post-waking frequency measurements, significantly reducing activation time while maintaining carrier selection accuracy.
Solution Approach 2:
The device can skip the traditional extensive frequency measurement process upon waking by using the pre-provided frequency dependency information to directly determine the appropriate frequency, thus rushing through what would normally be a time-consuming procedure.
3Reliability
If wireless devices wake up frequently to perform carrier selection, then connection reliability is improved, but power consumption increases
Solution Approach 1:
The network node provides frequency dependency information in advance, allowing the device to perform rapid carrier selection upon waking without needing to extend wake duration or perform repeated measurements. This enables extended sleep periods while maintaining connection reliability through efficient, accurate frequency selection.
Solution Approach 2:
The wireless device uses the pre-provided frequency dependency information to autonomously determine the appropriate frequency upon waking, without requiring extensive network assistance or repeated signaling exchanges. This self-service capability reduces both power consumption and network overhead.
Data Source
AI summary
According to an example aspect of the present invention, there is provided a method comprising: receiving, from a network node, before entering a power saving state, an indication of a dependency between frequencies and time instances; identifying at least one frequency based on the indicated dependency and a moment of time; and selecting a cell utilizing the identified at least one frequency.