UE Cell Reselection with Dynamic Frequency Priorities
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Solution Overview
Problem
Current cell reselection methods in wireless communication systems, particularly in LTE environments, fail to effectively distribute load balancing across multiple carriers, leading to inefficiencies and increased latency due to reliance on priority-based handovers and redirections, which can result in overloading and resource wastage.
Innovation Solution
A method where user equipment (UE) dynamically adjusts frequency priorities by applying random or adjusted priorities based on specific conditions, allowing for more efficient load redistribution across carriers, thereby improving system performance and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If priority-based cell reselection method is used, then cell reselection can be performed systematically, but load balancing across multiple carriers cannot be achieved effectively
Solution Approach 1:
The patent applies dynamics by making the frequency priority adjustable rather than fixed. The network can dynamically change the priority of frequencies based on load conditions, and the UE adapts to these changes. This allows the system to transition from a static priority-based approach to a dynamic load-balancing approach where priorities are modified in real-time to distribute traffic effectively across carriers.
Solution Approach 2:
The patent changes the priority parameter of frequencies dynamically. Instead of using fixed priority values, the network modifies the priority parameters based on current load conditions on different carriers. This parameter change enables the system to achieve load balancing by adjusting which frequency the UE should prefer, thereby distributing traffic across multiple carriers efficiently.
2Productivity
If handover or redirection is performed for each piece of user equipment, then load can be redistributed, but latency and uncertainty increase
Solution Approach 1:
The patent applies preliminary action by performing load balancing on idle UEs before they need to access the network. By redistributing idle UEs across different frequencies in advance, the system prepares for potential traffic loads without requiring last-minute handovers or redirections when UEs become active. This preliminary redistribution reduces latency because UEs are already positioned on appropriate frequencies when traffic needs to occur.
Solution Approach 2:
The patent enables idle UEs to self-reselect frequencies based on priority information provided by the network. Instead of requiring network-controlled handovers or redirections for each UE, the UEs autonomously perform frequency reselection based on the priority values they receive. This self-service approach eliminates the need for complex signaling and reduces latency associated with network-controlled load redistribution.
3Reliability
If access barring or active traffic redirection is performed during overload, then overload control can be implemented, but more resources are wasted and service delay increases
Solution Approach 1:
The patent applies preliminary action by distributing idle UEs across multiple frequencies before overload occurs. By proactively balancing load on idle UEs, the system prevents concentration of traffic on a single carrier that would lead to overload. This preliminary distribution eliminates the need for reactive access barring or traffic redirection during overload conditions, thereby avoiding the resource wastage and service delays associated with these corrective measures.
Solution Approach 2:
The patent applies preliminary anti-action by taking measures to prevent overload before it occurs. Instead of allowing traffic to concentrate on a single carrier and then applying access barring or redirection to control overload, the system preemptively distributes UEs across multiple carriers using dynamic frequency priorities. This prevents the harmful effect of overload from occurring in the first place, avoiding the need for resource-intensive overload control mechanisms.
Data Source
AI summary
A method for re-selecting a cell by a user equipment and a user equipment using the method are provided. The method comprises: receiving a normal frequency priority capable of being used to re-select a cell; determining whether a particular frequency satisfies a condition for applying a random priority; applying the randomly selected priority instead of applying the normal frequency priority to the particular frequency when the condition is satisfied; and re-selecting the cell on the basis of the randomly selected priority.