UE Cell Selection for Energy-Saving Network Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems lack methods for identifying and selecting or re-selecting cells that implement network energy saving techniques, leading to inefficiencies in energy consumption.
Innovation Solution
A user equipment (UE) is configured to identify and select or re-select cells that support network energy saving techniques by receiving system information broadcast or dedicated signaling, distinguishing between new cells in sleep and non-sleep states, and applying specific criteria for cell selection or re-selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a UE performs conventional cell selection or re-selection based on traditional criteria (Srxlev, Squal), then the cell selection process is simple and legacy UEs are compatible, but energy saving opportunities are missed and network energy consumption increases
Solution Approach 1:
The network performs preliminary actions by configuring UEs with priority information for new cells before cell selection or re-selection occurs. System information blocks or dedicated signaling pre-notify UEs about which cells support energy saving techniques and their relative priorities, enabling UEs to make informed selection decisions without complex real-time evaluations
Solution Approach 2:
The invention introduces new parameters (cell priority indicators, energy saving capability flags) to the existing cell selection framework. These parameter additions modify the traditional Srxlev and Squal-based selection criteria to incorporate energy saving considerations, allowing UEs to prioritize new cells while maintaining compatibility with legacy selection mechanisms
2Productivity
If a UE prioritizes selecting new cells that support energy saving techniques, then network energy efficiency improves, but the cell selection criterion and identification mechanism become more complex
Solution Approach 1:
The network provides feedback to UEs through system information blocks and dedicated signaling, continuously informing UEs about which cells support energy saving techniques and their priority levels. This feedback mechanism enables UEs to identify and prioritize new cells without requiring complex autonomous detection algorithms
Solution Approach 2:
System information blocks and dedicated signaling act as intermediaries between the network and UEs, conveying cell priority and energy saving capability information. This intermediary approach simplifies the identification process by providing pre-processed, authoritative information about new cells rather than requiring UEs to independently analyze and determine cell characteristics
3Loss of energy
If a UE continuously monitors and re-selects cells to optimize energy saving performance, then energy management improves, but signaling overhead and processing complexity increase
Solution Approach 1:
The cell priority information and energy saving indicators are integrated into existing system information blocks and signaling mechanisms that UEs already process for conventional cell selection. This multi-functionality approach allows the same signaling infrastructure to serve both traditional cell selection requirements and new energy saving optimization goals, avoiding duplicate signaling overhead
Data Source
AI summary
Methods and apparatuses for new cell selection and re-selection are disclosed. A user equipment (UE) comprises a processor; and a transceiver coupled to the processor, wherein, the processor is configured to identify new cells that implement network energy saving techniques; and select or re-select a new cell that fulfills a predetermined criterion, when cell selection or re-selection is performed.