Proactive Radio Resource Allocation for Idle-to-Connected Transitions
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Solution Overview
Problem
In radio communication networks, especially for machine-type communication devices, the transition from idle to connected mode consumes significant energy due to extensive signaling procedures, leading to increased battery drain and potential radio link failures during mobility, as existing energy-saving mechanisms like DRX may not be sufficient for infrequent and short communication events.
Innovation Solution
A method where a radio network node proactively determines and transmits radio resource allocation to a user equipment (UE) during its transition from idle to connected mode, predicting data messages based on historical data and incorporating this information into a MAC PDU, allowing the UE to reduce energy consumption by avoiding the need for scheduling requests and monitoring the DL control channel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the UE follows conventional idle to connected mode transition procedures, then the network can establish reliable communication connections, but the UE experiences significant energy consumption due to extensive signaling procedures and continuous monitoring
Solution Approach 1:
The network node performs preliminary actions by proactively determining and allocating radio resources for the UE before the UE actually needs to transmit data. The network predicts upcoming data messages and prepares resource allocations in advance, sending resource allocation information to the UE while it is still in idle mode or during early transition phases. This eliminates the need for the UE to send scheduling requests and continuously monitor downlink control channels, significantly reducing energy consumption while ensuring resources are ready when needed.
2Speed
If the UE continuously monitors downlink control channels during idle to connected mode transition, then the UE can receive scheduling information timely, but the UE's battery drain increases significantly
Solution Approach 1:
The network node sends resource allocation information proactively to the UE before the UE needs to monitor downlink control channels for scheduling decisions. By predicting data messages and preparing resource allocations in advance, the network eliminates the need for continuous monitoring during critical transition phases, reducing battery drain while maintaining timely scheduling through pre-delivered allocation information.
3Productivity
If the network uses traditional resource allocation methods during mode transition, then resource allocation can be dynamically adjusted to actual traffic needs, but the transition process becomes longer and more energy-consuming
Solution Approach 1:
The network node performs preliminary resource allocation by predicting data messages that the UE will transmit and determining appropriate radio resources in advance. This proactive approach shortens the mode transition time because resources are already allocated and communicated to the UE before actual data transmission begins. The network maintains productivity by dynamically adjusting predictions based on historical data and current traffic patterns, ensuring efficient resource utilization without sacrificing adaptability.
Solution Approach 2:
The network node utilizes historical data about the UE's communication patterns to improve prediction accuracy for upcoming data messages. By analyzing past transmission behaviors, the network refines its predictions and optimizes resource allocation decisions. This feedback mechanism ensures that resource allocation remains efficient and adaptive to actual traffic needs while minimizing transition time and energy consumption.
4Adaptability or versatility
If the UE sends scheduling requests before data transmission, then the network can allocate resources based on actual needs, but the signaling overhead and energy consumption increase
Solution Approach 1:
The network node performs preliminary resource allocation by predicting data messages and determining radio resources before the UE sends any scheduling requests. The network proactively communicates these pre-determined resource allocations to the UE, eliminating the need for scheduling request signaling. This approach maintains adaptability by using prediction algorithms that adjust to actual traffic patterns while significantly reducing signaling energy consumption.
Solution Approach 2:
The network utilizes historical communication data to continuously refine its prediction accuracy for upcoming data messages. This feedback mechanism ensures that resource allocations remain adaptive to actual traffic needs without requiring explicit scheduling requests from the UE, thereby reducing signaling overhead and energy consumption while maintaining versatility.
Data Source
AI summary
The present disclosure concerns radio communication. More particularly, the embodiments presented herein generally relate to allocation of radio resources. In one example embodiment, a radio network node 700 determines that an operational status of a user equipment (UE) is an operational status where the UE is in transition from an IDLE mode to a CONNECTED mode. In response thereto, the radio network node 700 determines a radio resource allocation for the UE. Also in response thereto, the radio network node 700 may proactively transmit a data message indicating the determined radio resource allocation to the UE.