Dynamic Preemption Indication Management for MBB and Low Latency Multiplexing
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Solution Overview
Problem
Conventional wireless communication systems face inefficiencies in multiplexing mobile broadband (MBB) and low latency communications, leading to increased power consumption and high signaling overhead due to unnecessary monitoring for preemption indications, especially when uplink or downlink transmissions are unlikely to be preempted.
Innovation Solution
The system dynamically configures user equipment (UE) to monitor or avoid monitoring for preemption indications based on probability and channel conditions, and transmits control messages to differentiate between preemption and permission indications, allowing for efficient resource management and reduced signaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UE continuously monitors for preemption indications to ensure reliable transmission, then transmission reliability is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the UE's monitoring behavior based on preemption probability indicators. When the indicator shows low preemption probability, the UE skips monitoring to save power; when high probability is indicated, the UE monitors to ensure reliability. This dynamic adaptation resolves the contradiction between continuous monitoring for reliability and intermittent monitoring for power savings.
Solution Approach 2:
The base station changes the parameter of preemption probability indication to control UE behavior. By varying this parameter based on actual network conditions, the system optimizes the balance between monitoring frequency, transmission reliability, and power consumption in different scenarios.
2Measurement precision
If UE monitors for preemption indications in all cases to ensure accurate transmission control, then transmission control accuracy is improved, but signaling overhead increases
Solution Approach 1:
The system extracts only the essential preemption probability information and transmits it via compact indicators rather than full monitoring messages. This extraction approach maintains transmission control accuracy by providing sufficient information for UE decision-making while significantly reducing signaling overhead through condensed representation.
Solution Approach 2:
Instead of requiring complete monitoring in all cases, the system applies partial monitoring based on the preemption probability indicator. When probability is low, partial action (skipping monitoring) suffices; when probability is high, full action (monitoring) is applied. This resolves the contradiction by using only the necessary amount of signaling for each specific situation.
3Ease of operation
If system uses preemption indications for all transmissions to simplify resource management, then resource management simplicity is improved, but device complexity increases
Solution Approach 1:
The system applies different quality levels of preemption indication handling to different transmissions based on their characteristics. Some transmissions receive full preemption indication monitoring while others use simplified handling. This local differentiation simplifies overall resource management while avoiding unnecessary complexity in UE processing for each individual transmission type.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. In one example, a base station may dynamically configure a user equipment (UE) to monitor or avoid monitoring for a preemption indication. Accordingly, the UE may have a lower chance of monitoring for a preemption indication when it is unlikely that an uplink or downlink transmission will be preempted. In another example, a base station may transmit a control message indicating whether future indications received from the base station are to be interpreted as preemption indications or permission indications. Accordingly, the base station may choose to use either preemption indications or permission indications (e.g., based on the probability of collisions between mobile broadband (MBB) and low latency transmissions) to facilitate MBB and low latency communication multiplexing with limited signaling.