Wireless Traffic Prediction for UE Scheduling
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR, face inefficiencies due to the lack of accurate prediction of user equipment (UE) activity, leading to unnecessary resource reservation and increased energy consumption by network nodes, as they rely on timers or guesswork to determine UE inactivity and scheduling needs.
Innovation Solution
Implementing a traffic prediction module in user equipment (UE) to provide assistance information to network nodes about expected communications, allowing for more precise scheduling updates and reducing energy usage by indicating periods of inactivity or upcoming data transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If network nodes use timers or guesswork to determine UE inactivity, then scheduling can be performed, but resource reservation becomes unnecessary and energy consumption increases
Solution Approach 1:
The UE performs preliminary analysis of its own traffic patterns and proactively provides prediction information to the network node before actual communication occurs. This allows the network node to prepare scheduling decisions in advance, avoiding unnecessary resource reservation and reducing energy consumption while improving prediction accuracy through UE self-awareness.
Solution Approach 2:
The UE continuously monitors its own communication needs and provides feedback in the form of prediction indications to the network node. This feedback mechanism enables the network to adjust scheduling decisions based on actual UE behavior patterns, improving accuracy while reducing wasted resource reservation.
2Productivity
If network nodes continuously monitor for UE activity, then scheduling responsiveness is maintained, but energy consumption by network nodes increases
Solution Approach 1:
The UE performs preliminary action by analyzing its own traffic patterns and providing advance prediction information to the network node. This eliminates the need for continuous monitoring by the network node, as the UE itself initiates the scheduling process based on its predicted needs, thereby reducing network node energy consumption while maintaining scheduling responsiveness.
Solution Approach 2:
The UE engages in self-service by autonomously monitoring its own communication requirements and initiating the scheduling process through prediction indications. This self-service approach transfers the monitoring burden from the network node to the UE, reducing network energy consumption while maintaining efficient scheduling through UE-driven decisions.
3Ease of operation
If resource reservation is performed based on timers, then scheduling can be updated, but unnecessary resource allocation occurs
Solution Approach 1:
The UE provides preliminary prediction information about its upcoming communication needs, allowing the network node to perform scheduling updates in advance based on actual UE intentions rather than timer-based assumptions. This improves ease of operation through more accurate scheduling while reducing unnecessary resource allocation by aligning resource reservation with actual predicted needs.
Data Source
AI summary
In certain aspects, the disclosure is directed to a user equipment (UE) configured for wireless communications with a network node. The UE may include a memory comprising instructions, and one or more processors configured to execute the instructions. In some examples, the UE may transmit, to a network node, an indication of an expected communication. In some examples, the UE may receive, from the network node, updated scheduling in response to the indication of the expected communication. For example, the UE may predict a future sidelink/uplink communication based on whether the UE expects data for a future uplink transmission. If the UE expects that it will have data for a future uplink transmission, the UE may notify the network node so that the network node can enter into a low power state until the future transmission, then provide the UE with a sidelink/uplink grant for the future uplink transmission.