Service-Based Cell Selection for Ultra-Low Latency
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Solution Overview
Problem
Current mobile communication systems inadequately ensure ultra-low latency and high reliability for emerging services like industrial automation and self-driving cars, as they rely solely on radio conditions and PLMN information, which are insufficient for meeting these stringent requirements.
Innovation Solution
The system introduces service-specific cell selection and reselection techniques, where user equipment (UE) prioritizes cells based on available services by considering service availability information alongside radio conditions, allowing it to camp on cells that support specific services like industrial automation, mission critical, or conversational services, and dynamically updates this information in response to changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cell selection is based solely on radio conditions and PLMN information, then the cell selection process is simple, but the latency and reliability requirements for emerging services cannot be met
Solution Approach 1:
The cell selection process is segmented into multiple stages: initial cell selection based on radio conditions and PLMN information, followed by service-specific cell reselection when service requirements cannot be met. This segmentation allows the system to maintain simple default operation while enabling complex service-oriented selection only when needed, thus improving reliability without permanently increasing complexity.
Solution Approach 2:
The cell selection criteria are made dynamic by introducing service-specific parameters that can be activated or deactivated based on service requirements. The system dynamically adjusts selection priorities between traditional radio conditions and service-specific criteria, allowing flexibility to meet varying service demands without requiring a permanently complex selection mechanism.
2Reliability
If UEs continuously monitor and update service availability information, then service connectivity is optimized, but power consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system implements periodic monitoring of service availability information at configured intervals. The UE monitors service availability periodically and triggers cell reselection only when service requirements are not met, reducing power consumption while maintaining adequate service connectivity through scheduled updates rather than constant surveillance.
Solution Approach 2:
The network assists UEs by providing service availability information through system information blocks and reconfiguration messages, reducing the burden on UEs to continuously query and determine service availability independently. This self-service approach allows UEs to rely on network-provided information, reducing their processing and monitoring overhead while maintaining accurate service connectivity awareness.
Data Source
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AI summary
Systems and techniques are disclosed for selecting service-specific cells that considers additional information about service availability at the cells. A base station stores service availability information in system information. A UE searching for a service-specific cell on which to camp receives the system information with service availability. The UE analyzes its service requirements against the service availability as well as measured radio conditions and selects a cell that enables service-specific support on which to camp. When a change occurs to availability of the service support at the base station, it notifies the camped UE of the change and the UE obtains the changed system information to determine whether to reselect a different cell on which to camp. When a service-specific cell is not available, the UE may select a suitable cell for normal service and periodically perform cell reselection in an attempt to again camp on a service-specific cell.