Blind Decoding Limits for 5G NR Resource Budget Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR and LTE technologies, face challenges in efficiently allocating resource budgets for blind decoding and control channel monitoring across different types of downlink control information, leading to suboptimal performance in supporting diverse wireless communication services with varying latency and reliability requirements.
Innovation Solution
The method involves allocating a resource budget that includes a number of physical downlink control channel blind decodes and control channel elements, allowing user equipment to prioritize blind decoding of PDCCH candidates based on specific limits for services like eMBB and URLLC, enabling effective scheduling and resource allocation across different wireless communication services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE monitors all PDCCH candidates without resource budget allocation, then the completeness of control information reception is improved, but the processing complexity and power consumption exceed UE capabilities
Solution Approach 1:
The patent segments the PDCCH monitoring task by dividing candidates into different types (first type and second type DCI) and allocating separate resource budgets to each type. This segmentation allows the UE to process control information in manageable portions according to service requirements, reducing overall processing complexity while maintaining reliable reception of critical control signals.
2Productivity
If the UE allocates resource budget per DCI type, then the processing efficiency is improved, but the complexity of resource allocation management increases
Solution Approach 1:
The patent applies local quality by assigning different resource budget characteristics to different DCI types based on their specific requirements. First type DCI receives a first resource budget configured with specific BD and CCE limits, while second type DCI receives a second resource budget with different limits. This differentiated approach optimizes processing efficiency for each DCI type while managing complexity through standardized allocation frameworks.
3Adaptability or versatility
If the system supports multiple wireless communication services with different latency requirements, then the service versatility is improved, but the resource allocation difficulty increases
Solution Approach 1:
The patent implements dynamics by enabling dynamic resource budget allocation where the network can configure different blind decoding limits and control channel element limits for different DCI types based on current service requirements. This allows the system to adapt resource distribution in real-time to support multiple services with different latency and reliability requirements, enhancing versatility while managing allocation complexity through flexible configuration.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for allocating a resource budget for blinding decoding among various types of DCI. A method that may be performed by a user equipment (UE) includes allocating a resource budget per a span of symbols among a first type of downlink control information (DCI) and a second type of DCI, wherein the resource budget includes a number of physical downlink control channel (PDCCH) blind decodes (BDs) and a number of control channel elements (CCEs) supported by the UE; and monitoring, from a network entity, PDCCH candidates in accordance with the allocated resource budget.