5G Idle User Equipment Activation Through Predictive Beam Steering
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently transitioning idle user equipment to active mode due to limited radio resources and beam-steering issues, leading to attach failures and delays, especially in high-speed networks with narrower beams and higher path loss.
Innovation Solution
Implementing a system that periodically collects signal propagation information from idle user equipment and preemptively allocates radio resources, including creating and adjusting energy beams to cover idle UEs, using tracking area update messages with appended signal propagation data, and prioritizing resource allocation based on predicted transitions to active mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If radio resources are allocated to idle user equipment to facilitate transition to active mode, then connection establishment speed is improved, but radio resource availability for other users deteriorates
Solution Approach 1:
The system performs preliminary actions by preemptively allocating radio resources to idle user equipment before the actual transition to active mode is needed. The network equipment identifies idle UEs that are likely to transition to active mode and reserves radio resources for them in advance, thereby reducing connection establishment delay when the transition actually occurs, while managing radio resource availability through intelligent prediction and allocation.
2Reliability
If beam steering is used to target specific user equipment, then signal quality is improved, but beam coverage area is reduced
Solution Approach 1:
The system applies local quality by using beam steering to direct concentrated signal energy toward specific idle user equipment that is predicted to transition to active mode. Instead of using wide beams that cover large areas but provide lower signal quality, the network equipment creates targeted narrow beams that provide high signal quality to specific locations, while managing coverage by predicting which UEs will need service and directing beams accordingly.
Data Source
AI summary
The technologies described herein are generally directed to providing, based on a paging message, radio resources to facilitate a transition to active mode by idle user equipment in a fifth generation (5G) network or other next generation networks. An example method can include identifying an idle mode activation message. The method can further include, based on the activation message, predicting that the user device is going to request an active connection. Further, the method can include prioritizing allocation of antenna resources to the user device over different user devices in an idle state, based on a prediction that the user device will transition to an active state before the different user devices. Further, the method can include, based on the prioritizing, directing a base station to cause a beamformed signal to a predicted location of the user device to accept the active connection.