Wireless Scheduling Zones for Power and Latency Trade-offs
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Solution Overview
Problem
Wireless communication systems face challenges in efficiently managing power consumption and data transfer latency, leading to potential battery life reduction and failure to meet operating specifications due to lack of knowledge about the operating conditions of user equipment (UE).
Innovation Solution
Implementing a method where user equipment (UE) and network nodes use operating zones based on ranges of potential values for power consumption and data transfer latency metrics, allowing for dynamic scheduling configurations that prioritize either power conservation or latency, determined by the UE's observed state and reported metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the network node uses a single fixed scheduling configuration, then the system complexity is reduced, but the ability to adapt to different operating conditions (power consumption vs latency requirements) deteriorates
Solution Approach 1:
The patent segments the scheduling configurations into multiple distinct types (e.g., first scheduling configuration prioritizing power consumption, second scheduling configuration prioritizing data transfer latency). Each configuration is optimized for specific operating conditions, allowing the system to adapt by selecting appropriate segments rather than using a single complex universal configuration.
Solution Approach 2:
The system dynamically switches between different scheduling configurations based on the UE's reported operating state. The network node receives an operating state indication from the UE and selectively applies the appropriate scheduling configuration (first or second type) based on current conditions, making the system adaptive without requiring complex continuous adjustment mechanisms.
2Adaptability or versatility
If the network node continuously monitors and adjusts scheduling based on real-time conditions, then the adaptability to operating conditions improves, but the signaling overhead and processing complexity increase
Solution Approach 1:
The patent implements a feedback mechanism where the UE reports its operating state to the network node, which then selects the appropriate scheduling configuration. This feedback approach allows real-time adaptability while keeping the mechanism simple, as the UE provides necessary information and the network node responds by selecting from predefined configurations rather than continuously computing optimal settings.
Solution Approach 2:
The system prepares multiple scheduling configurations in advance (first scheduling configuration for power-saving modes, second for latency-critical modes) before actual data transmission occurs. This preliminary preparation allows the network node to quickly respond to UE operating state changes without performing complex real-time optimization calculations.
3Productivity
If the UE reports detailed operating state information frequently, then the network node's ability to optimize scheduling improves, but the UE's power consumption and processing load increase
Solution Approach 1:
The UE autonomously determines and reports its own operating state based on its internal conditions (e.g., battery level, data requirements). This self-service approach allows the UE to provide necessary scheduling information without requiring continuous external monitoring or complex processing, thereby minimizing additional power consumption while enabling effective scheduling optimization.
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 indication that specifies a configuration of multiple operating zones that are based at least in part on a first range of potential values for a first operating metric and a second range of potential values for a second operating metric. The UE may transmit an operating state indication that indicates a particular operating zone of the multiple operating zones. The UE may receive scheduling information that is based at least in part on the particular operating zone. Numerous other aspects are described.