CSI Processing Unit Occupancy for UE-Initiated CSI Requests
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Solution Overview
Problem
Conventional CSI processing unit (CPU) occupancy rules do not account for UE-initiated uplink CSI requests, leading to inefficiencies in resource allocation and increased latency in channel measurements.
Innovation Solution
Implementing rules for determining CPU occupancy based on UE-initiated uplink CSI requests, allowing the UE and base station to dynamically manage CPU usage, ensuring sufficient resources for CSI operations and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional CPU occupancy rules are used for CSI processing, then resource allocation follows traditional patterns, but UE-initiated uplink CSI requests cannot be properly accommodated leading to increased latency
Solution Approach 1:
The patent implements dynamic CPU occupancy rules that adapt based on the type of CSI request. Different CPU occupancy durations are assigned depending on whether the request is network-initiated or UE-initiated, allowing the system to dynamically adjust resource allocation to match actual processing needs and reduce latency for autonomous UE requests
Solution Approach 2:
The patent changes the CPU occupancy parameter based on the request type. Specifically, it defines different CPU occupancy durations for different CSI request types, allowing the system to optimize processing time allocation and accommodate UE-autonomous requests without compromising network-controlled operations
2Adaptability or versatility
If CPU resources are allocated for UE-initiated CSI requests, then measurement flexibility increases, but resource allocation complexity increases
Solution Approach 1:
The patent applies different CPU occupancy rules to different types of CSI requests rather than using a uniform approach. By tailoring the CPU occupancy duration to the specific request type (network-initiated versus UE-initiated), the system provides localized optimization that enhances flexibility while managing complexity through targeted rather than universal changes
Solution Approach 2:
The patent segments CPU resource management into distinct rules for different CSI request types. This segmentation allows independent optimization of resource allocation for each request type, enabling flexible accommodation of UE-autonomous requests while maintaining separate control over network-initiated requests, thereby managing overall system complexity
3Manufacturing precision
If accumulated CPU occupancy is tracked for multiple CSI operations, then resource scheduling accuracy improves, but processing overhead increases
Solution Approach 1:
The patent implements self-service mechanisms where the UE autonomously determines CPU occupancy based on pre-configured rules for different request types. This self-determination reduces the need for extensive network-side tracking and coordination, thereby improving scheduling accuracy through UE-autonomous resource management while minimizing the processing overhead associated with centralized tracking
Data Source
AI summary
This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for a user equipment (UE) and a base station (BS) to determine channel state information (CSI) processing unit (CPU) occupancy of the UE. The UE and the BS may determine that at least one CPU from a CPU pool is occupied by an uplink CSI request from a CSI reference signal (CSI-RS) to at least a CSI request occasion. The UE and the BS may determine a number of occupied CPUs, for example, based on an accumulated or aggregated number of occupied CPUs for multiple CSI operations. The UE may perform a number of CSI operations based on the determined number of occupied CPUs. The BS may configure the UE to perform the number of CSI operations, for example, by transmitting one or more of a configuration, activation, or scheduling message.