UE Cell Selection Based on Power and Throughput Parameters
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Solution Overview
Problem
Conventional cell selection technologies in mobile communications lack flexibility and efficiency in determining suitable cells for user equipment (UE) based on varying traffic needs and environmental conditions, particularly in outdoor and indoor areas.
Innovation Solution
The method involves user equipment (UE) determining whether the current cell is a power-saving, high-throughput, or both based on parameters like ss-PBCH-BlockPower, path loss, transmission power, and MIMO layers, and deciding whether to perform cell selection or stay in the current cell based on service traffic and availability of neighbor cells with different characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the UE always performs cell selection to find the best cell, then the data throughput is improved, but the power consumption increases
Solution Approach 1:
The UE changes its behavior parameters based on the detected cell type. When in a power-saving cell, the UE reduces cell selection frequency to save power. When in a high-throughput cell, the UE increases cell selection frequency to maintain optimal data throughput. This dynamic parameter adjustment resolves the contradiction between throughput and power consumption.
Solution Approach 2:
The system transitions from a static cell selection approach to a dynamic one where the UE continuously monitors cell characteristics (such as ss-PBCH-BlockPower, path loss, MIMO layers) and adjusts its cell selection behavior accordingly. This dynamic adaptation allows the UE to optimize the trade-off between power consumption and data throughput based on real-time conditions.
2Use of energy by moving object
If the UE stays in the current cell to save power, then the power consumption is reduced, but the data throughput may decrease
Solution Approach 1:
The UE adjusts the cell selection frequency parameter based on cell type and traffic conditions. In power-saving cells with light traffic, the UE reduces cell selection frequency to minimize power consumption. In high-throughput cells with heavy traffic, the UE increases cell selection frequency to maintain optimal throughput, thus dynamically balancing power consumption and data throughput.
Solution Approach 2:
The UE autonomously determines whether to perform cell selection or stay in the current cell by evaluating cell type parameters and service traffic conditions itself, without requiring network control. This self-service decision-making enables the UE to independently optimize the power-throughput trade-off based on its current state and environment.
3Reliability
If the UE performs frequent cell selection, then the suitability of cell is improved, but the loss of time increases
Solution Approach 1:
The UE dynamically adjusts the cell selection frequency based on cell type and traffic conditions. In power-saving cells, the UE reduces cell selection frequency, accepting slightly lower cell suitability to save power and time. In high-throughput cells, the UE maintains higher cell selection frequency to ensure optimal cell suitability. This selective approach optimizes the time-suitability trade-off.
4Use of energy by moving object
If the UE reduces cell selection frequency, then the power consumption is reduced, but the cell suitability may worsen
Solution Approach 1:
The UE adjusts cell selection frequency based on cell type parameters (ss-PBCH-BlockPower, path loss, MIMO layers) and service traffic conditions. By reducing cell selection frequency only in power-saving cells with light traffic, the UE minimizes power consumption while maintaining adequate cell suitability. The UE monitors cell characteristics to ensure that reduced cell selection does not lead to suboptimal cell performance.
Data Source
AI summary
A method for cell selection is provided. The method may include the following steps. A user equipment (UE) may determine whether a current cell is a power-saving cell, a high-throughput cell or a power-saving and high-throughput cell based on a plurality of parameters configured by a network node. Then, the UE may determine whether to perform a cell selection in response to the current cell being a power-saving cell, a high-throughput cell or a power-saving and high-throughput cell.


