Multi-Cell DCI UE Capability Reporting for BD/CCE Limit Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication technologies face challenges in efficiently scheduling data transmissions across multiple cells using multi-cell DCI signals, lacking mechanisms for UEs to report capabilities and determine BD/CCE limits effectively, leading to inefficiencies and increased complexity.
Innovation Solution
A UE is equipped with mechanisms to report its capabilities related to multi-cell DCI scheduling, including the maximum number of groups and cells per group, and to determine BD/CCE limits by counting towards a scheduling cell, using scaling factors and effective SCS considerations to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multi-cell DCI scheduling is implemented to schedule data transmissions across multiple cells, then scheduling efficiency and resource allocation flexibility are improved, but UE complexity and difficulty in determining BD/CCE limits increase
Solution Approach 1:
The patent segments the multi-cell scheduling capability into distinct reportable parameters: the maximum number of cell groups (N) and the maximum number of cells per group (M). This segmentation allows the UE to report its capabilities in a structured manner, enabling the network to configure appropriate scheduling parameters without overwhelming the UE with excessive complexity. By dividing the capability reporting into manageable segments, the system achieves efficient multi-cell scheduling while keeping UE implementation complexity可控.
Solution Approach 2:
The patent introduces specific parameters (N for maximum cell groups, M for maximum cells per group, and the BD/CCE limit scaling factor) that can be configured and reported by the UE. These parameter changes enable flexible adaptation of the scheduling system to different UE capabilities. The BD/CCE limit is dynamically adjusted based on these parameters, allowing the system to optimize scheduling efficiency while respecting UE processing limitations through parameter-based control.
2Adaptability or versatility
If the UE reports detailed capability information for multi-cell DCI scheduling, then the network can optimize resource allocation, but the capability reporting overhead and signaling complexity increase
Solution Approach 1:
The patent extracts the essential capability information needed for multi-cell DCI scheduling into specific, standardized parameters: the maximum number of cell groups (N), the maximum number of cells per group (M), and the BD/CCE limit scaling factor. By extracting only these critical parameters rather than reporting all possible capability details, the system achieves effective resource allocation optimization while minimizing signaling overhead. This selective extraction approach balances adaptability with efficient information exchange.
Solution Approach 2:
The capability reporting mechanism is designed to be universal and multi-functional. The same set of parameters (N, M, and scaling factor) serves multiple purposes: it defines the UE's multi-cell scheduling capability, determines the BD/CCE monitoring limits, and enables the network to configure appropriate DCI formats and scheduling parameters. This universal parameter set reduces signaling overhead by avoiding redundant reporting while still enabling comprehensive resource allocation optimization.
3Measurement precision
If the BD/CCE limit is determined by counting towards the scheduling cell with scaling factors, then monitoring accuracy and resource usage determination are improved, but the calculation complexity and processing overhead increase
Solution Approach 1:
The patent applies preliminary action by pre-defining the BD/CCE limit scaling factor based on the UE's reported capabilities (N and M parameters). Instead of performing complex real-time calculations during scheduling operations, the scaling factor is determined in advance through capability reporting and network configuration. This preliminary determination simplifies subsequent monitoring operations, as the UE can directly apply the pre-calculated scaling factor to determine BD/CCE limits without performing complex calculations during time-critical scheduling decisions.
Solution Approach 2:
The scaling factor acts as an intermediary between the UE's capability parameters (N and M) and the final BD/CCE monitoring limits. Rather than directly calculating BD/CCE limits from raw capability parameters during operation, the scaling factor serves as a pre-computed intermediate value that simplifies the relationship between capabilities and monitoring limits. This intermediary approach improves measurement precision while reducing calculation complexity, as the complex relationship is resolved in advance through the scaling factor.
Data Source
AI summary
A processor and a user equipment (UE) are provided. The processor has circuitry that executes instructions to cause a UE to perform operations. The operations include: determining a capability of communicating with a base station using a plurality of cells; identifying, among the plurality of cells, one or more groups of cells, wherein the cells in each group are schedulable by a same downlink control information (DCI) signal in a scheduling cell; determining a number of the one or more groups; and reporting the number of the one or more groups to the base station.