Sleep Mode Coordination

Coordinates sleep mode entry across carriers, MIMO antenna paths, and baseband processing units simultaneously. Unlike isolated sleep mechanisms, this approach ensures that all components within a slice enter low-power states in a synchronized manner, preventing situations where one active component keeps others awake unnecessarily. The coordination logic evaluates the traffic buffer status, scheduling queue depth, and active user equipment count across all slice resources before triggering a coordinated sleep cycle.

Applies differentiated sleep strategies based on the slice type and its associated Service Level Agreement (SLA). For example:

• URLLC slices: Use micro-sleep modes with sub-millisecond wake-up times to maintain ultra-low latency guarantees
• eMBB slices: Can tolerate deeper sleep states with longer wake-up latencies during traffic lulls
• mMTC slices: Support extended discontinuous reception cycles aligned with infrequent sensor reporting intervals Each policy defines sleep depth, maximum sleep duration, and wake-up trigger thresholds.

Leverages time-series forecasting models to predict upcoming traffic demand and preemptively schedule sleep mode transitions. The Network Data Analytics Function (NWDAF) feeds historical load patterns and real-time telemetry into a predictive engine that determines optimal sleep windows. This avoids reactive cycling where components constantly toggle between active and sleep states—a behavior that can increase energy consumption due to state transition overhead. Predictions account for temporal patterns such as diurnal traffic variations and known event schedules.

Integrates with Wake-Up Signal (WUS) mechanisms to ensure that sleeping components are alerted only when necessary. The coordination function aggregates pending transmission requests across the slice and triggers a single, synchronized wake-up event rather than multiple fragmented alerts. This reduces control channel overhead and prevents partial wake-ups where only a subset of slice resources become active. The WUS configuration is dynamically adjusted based on the sleep depth currently active in the slice.

Operates within a closed-loop automation framework that continuously monitors energy consumption against slice performance KPIs. The coordination controller receives real-time feedback on Power Usage Effectiveness (PUE) and per-slice energy metrics, then adjusts sleep mode parameters to optimize the energy-per-bit ratio. If SLA violations are detected—such as increased latency or buffer overflows—the controller automatically reduces sleep aggressiveness. This creates a self-tuning system that balances energy savings with service quality.

Provides granular visibility into the energy savings attributable to sleep mode coordination at the individual network slice instance level. The system tracks:

• Total sleep duration per component per slice
• Energy saved in kilowatt-hours compared to always-on baseline
• Sleep mode efficiency ratio: time spent in sleep vs. time spent in transition This data feeds into slice carbon footprint calculations and enables operators to demonstrate sustainability metrics to slice tenants as part of Slice as a Service (SlaaS) offerings.

A foundational power-saving feature where a base station periodically suspends transmission of common reference signals and broadcast channels during idle periods. Sleep mode coordination operates at a higher architectural level, orchestrating these Cell DTX cycles across multiple carriers within a slice to prevent conflicting wake-up schedules and maximize synchronized deep-sleep duration.

A low-power, simple waveform transmitted by a base station to alert user equipment in deep sleep that it must wake to monitor the main control channel. Coordinated sleep mode systems leverage WUS timing to batch wake-up events for multiple UEs on the same slice, minimizing the frequency of high-power state transitions and reducing the overall signaling overhead required to reactivate dormant network components.

A 5G NR mechanism that dynamically adjusts a UE's active carrier bandwidth. Sleep mode coordination integrates with BWP management to:

• Switch UEs to narrower, lower-power BWPs during low activity
• Coordinate BWP switching with MIMO path deactivation
• Ensure seamless bandwidth expansion when slice traffic demands increase This granular control prevents power waste from over-provisioned frequency resources.

An energy-saving technique where a base station selectively deactivates transmission power on specific physical resource blocks in the time-frequency grid that are not scheduled for active user data. Sleep mode coordination extends this concept by synchronizing muting patterns across multiple cells in a slice, creating extended periods of near-zero transmission that allow deeper hardware sleep states in remote radio units.

A data-driven analytical model that quantifies the power consumption of a specific network slice instance as a function of allocated resources, traffic load, and configured SLA parameters. This model serves as the digital twin input for sleep mode coordination algorithms, enabling predictive decisions about which components can safely enter low-power states without violating guaranteed bit rate or latency commitments.

An automation framework where a policy-driven controller continuously monitors slice KPIs, analyzes deviations from the desired state using AI, and automatically executes corrective actions. Sleep mode coordination functions as a specialized closed-loop module within this framework, using telemetry from the Network Data Analytics Function (NWDAF) to predict traffic lulls and proactively orchestrate energy-saving states across the RAN, transport, and core domains.