Adaptive Paging Patterns for 5G Device Battery and Latency Tradeoffs
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Solution Overview
Problem
Current NR paging designs in 5G wireless communication systems treat all idle-mode devices equally, regardless of their QoS requirements, latency criticality, and battery capabilities, leading to inefficient power consumption and network resource overhead.
Innovation Solution
Adaptive paging schemes are implemented based on device type and traffic flow type, allowing devices to skip or preempt paging opportunities, optimizing power usage and network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If all idle-mode devices use the same paging procedure, then network implementation is simplified, but power consumption efficiency deteriorates
Solution Approach 1:
The patent segments idle-mode devices into different categories (e.g., latency-critical devices, power-efficient devices, IoT devices) and assigns different paging procedures to each segment. This allows the network to simplify implementation by using standardized procedures while devices can selectively apply the appropriate procedure for their specific needs, thus resolving the contradiction between network simplicity and power efficiency.
Solution Approach 2:
The patent introduces dynamic paging procedures where devices can transition between different paging modes based on their current state and requirements. For example, devices can switch between extended discontinuous receive (eDRX) and conventional DRX modes, or between monitoring all paging occasions versus skipping certain occasions, allowing adaptive power consumption management while maintaining manageable network complexity.
2Reliability
If devices monitor all paging opportunities, then paging reliability is improved, but power consumption increases
Solution Approach 1:
The patent enables devices to skip certain paging occasions based on their specific requirements. Power-efficient devices can be configured to skip non-critical paging occasions while still monitoring critical ones, thereby maintaining acceptable paging reliability while significantly reducing power consumption compared to monitoring all paging opportunities.
Solution Approach 2:
The patent applies different paging monitoring strategies to different devices based on their local characteristics and requirements. Instead of a uniform approach, each device can have customized paging configuration that matches its specific reliability needs and power constraints, achieving optimal balance between reliability and power consumption for each device individually.
3Loss of time
If devices wake up frequently to monitor paging, then paging latency is reduced, but battery life deteriorates
Solution Approach 1:
The patent implements periodic paging monitoring with variable periods tailored to different device types. Latency-critical devices can use shorter DRX cycles to wake up more frequently and achieve low paging latency, while power-efficient devices can use extended DRX cycles with longer sleep periods to maximize battery life. This periodic action with adaptable periods resolves the contradiction between latency and battery life.
Solution Approach 2:
The patent allows dynamic adjustment of paging monitoring parameters such as DRX cycle length, number of paging occasions to monitor, and wake-up timing. Devices can change these parameters based on their current operational state, traffic patterns, and battery status, enabling optimization of the trade-off between paging latency and battery life for different scenarios.
4Device complexity
If homogeneous paging is used for all devices, then network resource allocation is simplified, but resource efficiency deteriorates
Solution Approach 1:
The patent creates a universal paging framework that can accommodate multiple device types and requirements through a single standardized interface. The network uses common paging channels and procedures, but devices can selectively apply different paging configurations (e.g., different DRX cycles, different monitoring patterns) based on their needs. This multi-functionality approach maintains simplified network resource allocation while achieving high resource efficiency through device-specific optimizations.
Data Source
AI summary
A user equipment requests from a RAN node skipping of paging occasions that the RAN node otherwise may schedule for UEs uniformly throughout the area that the RAN serves. The RAN assigns the UE to a device-type classification based on battery parameters or service type of the UE. The RAN modifies scheduling of paging occasions to the UE, and others in a class that comprises the UE, based on the device-classification. The UE may submit to the RAN defined types of traffic, paging occasions for which the UE should not skip. The RAN may transmit in a paging skipping preemption search space an indication for the UE not to skip an upcoming configured paging occasion configured for skipping. The RAN may configure the UE with a paging pattern to use when UE conditions change, such as when an idle UE moves into range of another RAN.