WTRU Processing Time Selection for Beam Switching and CSI Reporting
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Solution Overview
Problem
Existing communication systems face challenges in dynamically determining optimal processing times for various wireless operations, leading to inefficiencies and suboptimal performance in wireless networks.
Innovation Solution
Implementing methods and systems for dynamically determining processing times for wireless operations, including beam switching, channel state information reporting, and transmission configuration, based on scheduled information and multiple processing time values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed processing time values are used for wireless operations, then implementation complexity is reduced, but system adaptability and performance optimization are limited
Solution Approach 1:
The patent implements dynamic processing time determination by allowing the gNodeB to select from multiple pre-configured processing time values (e.g., 5ms, 10ms, 15ms, 20ms) based on scheduled information and operational conditions. This dynamic selection mechanism enables the system to adapt processing times to different scenarios without requiring complex real-time calculations, thus improving adaptability while controlling implementation complexity through predefined options.
Solution Approach 2:
The patent changes the processing time parameter dynamically by establishing a mapping between scheduled information (such as channel types, transmission modes, and operational contexts) and specific processing time values. The gNodeB determines which processing time value to apply based on the scheduled channel characteristics, enabling parameter adaptation to optimize performance for different wireless operations while maintaining manageable system complexity through structured parameter mapping.
2Reliability
If longer processing times are used for beam switching and channel state information reporting, then signal transmission reliability is improved, but system latency increases
Solution Approach 1:
The patent dynamically adjusts processing time values based on the specific wireless operation and scheduled information. For critical operations requiring high reliability such as beam switching and channel state information reporting, the system can select longer processing times from the predefined set. Conversely, for less critical operations or when latency is more important, shorter processing times can be applied. This dynamic adaptation allows the system to optimize the reliability-latency trade-off for each specific scenario.
Solution Approach 2:
The patent changes the processing time parameter based on the operational context and scheduled channel characteristics. By establishing different processing time values for different channel types and operational modes, the system can ensure adequate processing time for reliability-critical operations while minimizing latency for performance-critical operations. The parameter mapping enables optimized timing that balances reliability and latency requirements across diverse wireless scenarios.
3Productivity
If multiple processing time values are implemented for different operations, then processing efficiency is optimized, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing multiple processing time values and their corresponding mapping criteria before actual wireless operations occur. The gNodeB is configured with a predefined set of processing time values (e.g., 5ms, 10ms, 15ms, 20ms) and the criteria for selecting among them based on scheduled information. This preliminary configuration enables efficient processing during actual operations without requiring complex real-time decision-making logic, thus optimizing processing efficiency while controlling device complexity through advance preparation.
Solution Approach 2:
The patent implements parameter changes by establishing a structured mapping between scheduled information categories and specific processing time values. Rather than implementing a complex algorithm to determine processing times, the system uses predefined parameter mappings that associate different operational contexts (channel types, transmission modes, operational scenarios) with appropriate processing time values. This approach enables optimized processing efficiency through targeted parameter selection while maintaining manageable device complexity through structured, pre-defined parameter relationships.
Data Source
AI summary
Procedures, methods, architectures, apparatuses, systems, devices, and computer program products are disclosed that may be implemented in wireless transmit/receive unit (WTRU). In one representative method, the WTRU may determine a processing time value and/or type from among a plurality of processing time values and/or types and the method may include sending, by the WTRU to a network entity, a first message indicating the determined processing time value and/or type and receiving a second message indicating a confirmation of the determined processing time value and/or type. The method further may include applying, after receiving the confirmation of the determined processing time value type, the determined processing time value and/or type to processing of a target associated with the determined processing time value and/or type.