Cell Sleep Cycle Adaptation for Wake-Up Signal Power Saving
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Solution Overview
Problem
Wireless communications systems face challenges in optimizing network energy consumption and signaling overhead due to frequent transitions between active and inactive modes based on wake-up signals from user equipment, leading to decreased power saving capabilities and increased data traffic.
Innovation Solution
Network entities dynamically adapt their sleep cycles based on wake-up signals, adjusting active and inactive durations, and communicating these adaptations to user equipment through control messages, reducing unnecessary wake-up signals and optimizing power states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If the network entity frequently transitions between active and inactive modes to handle wake-up signals, then power consumption is reduced during inactive periods, but overall power consumption increases due to frequent mode switching overhead
Solution Approach 1:
The network entity dynamically adapts the sleep cycle parameters (active time duration, inactive time duration) based on received wake-up signals and traffic conditions. The sleep cycle is not fixed but can be adjusted in real-time to optimize the balance between power saving and responsiveness, reducing the frequency of unnecessary mode transitions while maintaining ability to handle incoming traffic efficiently
Solution Approach 2:
The patent changes the parameters of the sleep cycle (active time duration, inactive time duration, WUS occasion timing) based on received wake-up signals and network conditions. By dynamically adjusting these parameters, the system optimizes power consumption while ensuring timely response to UEs, reducing the harmful effect of frequent fixed-pattern transitions
2Speed
If the network entity maintains a short active time duration to respond quickly to wake-up signals, then communication responsiveness is improved, but power consumption increases due to more frequent active periods
Solution Approach 1:
The network entity dynamically adjusts the active time duration based on actual traffic conditions and wake-up signal patterns. When traffic is light, the active time duration is extended to reduce the frequency of transitions. When traffic increases or wake-up signals are detected, the entity can shorten the active period or wake up earlier, thus dynamically optimizing the trade-off between responsiveness and power consumption rather than using a fixed short or long duration
Solution Approach 2:
The system uses periodic wake-up signals (WUS) and periodic sleep cycles to structure the operation. The periodic nature allows the network entity to enter predictable inactive periods for power saving while ensuring it wakes up at appropriate intervals to check for traffic, balancing responsiveness with energy efficiency through regular, optimized cycles rather than continuous operation
3Use of energy by stationary object
If the network entity extends the inactive time duration to save power, then energy efficiency is improved, but communication reliability deteriorates due to increased delay in responding to wake-up signals
Solution Approach 1:
The network entity performs preliminary actions by monitoring for wake-up signals during the inactive period and preparing for upcoming active periods. The entity can detect WUS occasions in advance and adjust its wake-up timing accordingly, ensuring it is ready to respond immediately when needed. This preliminary monitoring and preparation maintains communication reliability even during extended inactive periods
Solution Approach 2:
The inactive time duration is dynamically adjusted based on traffic conditions and wake-up signal patterns. When the entity detects increased activity or receives wake-up signals, it can shorten the inactive period or extend the upcoming active period to ensure timely response. This dynamic adjustment maintains communication reliability while still allowing for extended power-saving inactive periods during low-traffic conditions
4Device complexity
If the network entity uses fixed sleep cycle parameters, then system complexity is reduced, but adaptability to varying traffic conditions deteriorates
Solution Approach 1:
The network entity autonomously adapts its sleep cycle parameters based on received wake-up signals and observed traffic conditions without requiring complex external control or reconfiguration. The entity self-adjusts its active and inactive time durations, WUS occasion timing, and other parameters based on its own observations and received signals, maintaining low system complexity while achieving high adaptability to varying traffic patterns
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A communications device such as a user equipment (UE) may receive control signaling that indicates a sleep cycle of a network entity over which the network entity alternates between an active time duration and an inactive time duration. In some examples, the control signaling may indicate a wakeup signal (WUS) occasion within a first active time duration of the sleep cycle for communication of a WUS and a time and frequency resource within the first active time duration of the sleep cycle that occurs after the wakeup signal occasion. The UE may monitor and receive, via the time and frequency resource, a first control message including an indication of a dynamic adaptation to the sleep cycle and indicating the power state of the network entity.