UE Power State Scaling for Throughput and Latency Control
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Solution Overview
Problem
Existing wireless communication systems, particularly in 5G NR, lack granular power state control, leading to inefficient power consumption and latency issues due to insufficient differentiation in clock rate and voltage settings, resulting in unnecessary power wastage or throughput limitations.
Innovation Solution
Implementing more granular power states with configurable scaling of peak throughput and processing timelines, allowing for efficient operation by indicating specific power states to user equipment (UE) based on expected traffic and reducing state transition time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If granular power states with configurable scaling are implemented, then power consumption efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the power control into multiple discrete power states, each with specific peak throughput scaling factors and processing timeline configurations. This segmentation allows the system to transition between distinct operational levels (e.g., first power state with higher throughput scaling, second power state with lower throughput scaling) rather than using continuous or binary control, thereby achieving finer-grained power management while maintaining implementable discrete configurations
Solution Approach 2:
The patent introduces dynamic power state selection where the network entity can indicate different power states based on current traffic conditions and device capabilities. The system dynamically adjusts peak throughput scaling and processing timelines according to real-time requirements, enabling the device to adapt its operational characteristics without requiring complex manual configuration or fixed rigid settings
2Productivity
If multiple power states with different throughput scaling are implemented, then throughput optimization is improved, but state transition time increases
Solution Approach 1:
The patent implements preliminary configuration of multiple power states with predefined peak throughput scaling factors and processing timeline settings. By preparing these states in advance and storing their parameters, the system can quickly transition between states without performing complex calculations or reconfigurations during state changes, thereby reducing transition time while maintaining multiple throughput optimization levels
Solution Approach 2:
The patent optimizes state transitions by changing key parameters such as peak throughput scaling factors and processing timeline durations rather than requiring complete system reconfiguration. The network entity can indicate transitions between power states by adjusting these parameters, allowing the device to maintain operational continuity while adapting throughput characteristics with minimal disruption
3Loss of energy
If power states are configured based on expected traffic, then resource conservation is improved, but measurement precision requirements increase
Solution Approach 1:
The patent incorporates feedback mechanisms where the network entity monitors actual traffic conditions and device performance, then adjusts power state selections accordingly. The system uses feedback information to validate traffic predictions and correct any deviations, allowing resource conservation to be optimized while compensating for imprecision in initial traffic estimates through adaptive adjustments based on observed behavior
Solution Approach 2:
The patent allows the system to configure power states based on expected traffic patterns without requiring perfectly accurate measurements. By using partial information about traffic conditions and employing multiple power states with different scaling factors, the system can make reasonable resource allocation decisions even with imperfect prediction, avoiding the need for high-precision measurement while still achieving meaningful resource conservation
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration for one or more power states that each include one or more configurations for a scaling of a peak throughput and one or more processing timelines. The UE may receive an indication of a power state from among the one or more power states. The UE may receive and processing a communication according to the peak throughput and the processing timeline of the indicated power state. Numerous other aspects are described.


