Predictive Traffic Reporting for Wireless Network Energy Saving
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently reporting data traffic based on prediction, leading to incorrect network energy saving decisions that can deteriorate UE performance and impose signaling burdens, while frequent or irrelevant reporting exacerbates these issues.
Innovation Solution
A method and apparatus for wireless devices to receive configurations for data traffic assistance messages, derive predictive data traffic, and transmit information on future time and location, enabling networks to make informed decisions on network energy saving states and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE sends future traffic information frequently or reports meaningless prediction information, then the network can make more informed energy saving decisions, but the signaling overhead increases and burdens both the UE and the network
Solution Approach 1:
The UE performs traffic prediction in advance and reports only when the prediction indicates a meaningful change or meets specific triggering conditions. This preliminary action allows the network to make informed decisions without continuous reporting, reducing signaling overhead while maintaining decision accuracy.
Solution Approach 2:
The patent implements triggering conditions that monitor changes in predicted traffic parameters (such as traffic volume thresholds or time patterns). Reporting is activated only when these parameters change significantly, transforming continuous reporting into event-driven reporting, thereby reducing unnecessary signaling while preserving reliable energy saving decisions.
2Loss of energy
If the network activates narrow bandwidth BWP or de-configures CG/SPS to save energy, then network energy consumption decreases, but UE performance deteriorates
Solution Approach 1:
The network uses predicted future traffic information to proactively activate energy saving modes only when traffic is expected to be low. This preliminary knowledge allows the network to switch to narrow bandwidth BWP or de-configure resources in advance, ensuring energy savings without impacting UE performance during high traffic periods.
Solution Approach 2:
The system establishes a feedback loop where UE assistance information about future traffic is continuously monitored. Based on this feedback, the network dynamically adjusts energy saving actions, activating them when predictions indicate low traffic and deactivating when traffic is expected to increase, thus balancing energy consumption and UE performance.
3Use of energy by stationary object
If the network turns off cells for power saving, then network power consumption decreases, but neighbor cells are burdened to serve additional traffic
Solution Approach 1:
The network uses predicted traffic information to anticipate when cells can be safely turned off without overburdening neighbor cells. By predicting future traffic distribution, the network can proactively switch off cells during periods when neighbor cells have sufficient capacity, or delay shutdown when neighbor cells are already at capacity, thus balancing power savings with neighbor cell productivity.
Data Source
AI summary
A method and apparatus for reporting data traffic based on prediction in a wireless communication system is described. The method comprises: receiving, from a network, a configuration for a data traffic assistance information message, wherein the configuration includes a triggering condition for the data traffic assistance information message; deriving a predictive data traffic for a future time and/or a future location; based on the predictive data traffic satisfying the triggering condition, transmitting the data traffic assistance information message including (i) information on the predictive data traffic and (ii) information on the future time and/or the future location.