Dynamic Schedule Updates for Multiple UE Communications
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing diverse device capabilities and communication patterns, particularly in supporting multiple communications with varying traffic characteristics and device complexities, such as those encountered in smart phones, tablets, and low-cost, low-complexity devices like smart watches.
Innovation Solution
Implementing techniques for updating the schedule of multiple communications, including explicit and implicit signaling between a base station and user equipment, to adapt to changing network and device conditions, using methods like multi-PxSCH scheduling and dynamic resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple communications are scheduled with fixed schedules, then resource allocation is simplified, but adaptability to changing network and device conditions deteriorates
Solution Approach 1:
The patent implements dynamic schedule updates by allowing the base station to send updated scheduling information to UEs during the communication period. This enables the system to transition from static to dynamic scheduling, where communication parameters can be adjusted in real-time based on changing network conditions and device capabilities, directly resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The system changes scheduling parameters dynamically by updating communication schedules with new timing, frequency, and resource allocation parameters. This allows the system to adapt to varying conditions (improving parameter 35) while maintaining a structured update mechanism that prevents complexity from becoming unmanageable (managing parameter 36).
2Productivity
If communication schedules are updated in real-time, then communication efficiency improves, but signaling overhead increases
Solution Approach 1:
The patent segments the scheduling updates by applying them selectively to specific UEs and specific communication parameters rather than updating all schedules universally. This targeted approach improves communication efficiency for affected UEs while minimizing the overall signaling overhead by only transmitting necessary update information.
Solution Approach 2:
The system performs partial schedule updates by modifying only the necessary communication parameters and leaving other parameters unchanged. This partial action approach maintains communication efficiency where updates are needed while reducing signaling overhead by avoiding unnecessary transmissions of complete schedule information.
Data Source
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AI summary
This disclosure relates to techniques for performing wireless communications including schedules for multiple communications between a user equipment device (UE) and a base station. Techniques for updating such schedules are disclosed. The update may be explicitly signaled or may be determined implicitly. The UE and the base station may perform communications according to the updated schedule.