5G Signal Reception Using Dynamic QCL and CORESET Pool Switching
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently transmitting and receiving data between transmission nodes and user equipment (UE) for cooperative communication, particularly in high-frequency bands like mmWave, where pathloss and coverage issues are significant, and there is a need for enhanced network technologies to support diverse IoT applications.
Innovation Solution
The method involves configuring the UE with two different values of control resource set (CORESET) pool indices and applying quasi co-located (QCL) relations based on these indices for aperiodic channel state information reference signals (CSI-RS) and physical downlink shared channels (PDSCH), ensuring reliable data transmission by determining QCL relations according to the scheduling offset and threshold values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quasi co-located (QCL) relation is applied for aperiodic CSI-RS and PDSCH to enhance communication reliability, then data transmission reliability is improved, but device complexity increases due to multiple CORESET pool index configurations
Solution Approach 1:
The patent applies dynamic selection of QCL relations based on the scheduling offset between PDCCH and aperiodic CSI-RS. When the scheduling offset is smaller than a threshold, a first QCL relation is applied; otherwise, a second QCL relation is applied. This dynamic adaptation resolves the contradiction by optimizing reliability through context-dependent QCL selection rather than static configuration, managing device complexity through threshold-based decision logic.
Solution Approach 2:
The patent changes the QCL relation parameter based on the scheduling offset condition. By monitoring the time relationship between PDCCH and aperiodic CSI-RS and adjusting the QCL relation accordingly, the system improves communication reliability while managing device complexity through parameter adaptation rather than structural complexity.
2Productivity
If scheduling offset is reduced to improve transmission efficiency, then productivity increases, but measurement precision deteriorates due to insufficient time for QCL application
Solution Approach 1:
The patent introduces a dynamic threshold mechanism that adapts QCL application behavior based on scheduling offset conditions. When offset is below the threshold, the system applies a first QCL relation optimized for efficiency; when above, it applies a second QCL relation ensuring precision. This resolves the contradiction by making the system's QCL application strategy dependent on the actual timing conditions.
Solution Approach 2:
The patent changes the QCL relation parameter based on the scheduling offset value relative to a threshold. This parameter change strategy allows the system to optimize for either efficiency or precision depending on the actual timing conditions, resolving the contradiction between transmission efficiency and QCL application accuracy.
3Adaptability or versatility
If multiple CORESET pool indices are configured to support cooperative communication, then adaptability increases, but device complexity increases due to multiple QCL relation management
Solution Approach 1:
The patent segments the QCL relation management by introducing separate first and second QCL relations corresponding to different scheduling offset conditions. This segmentation allows the system to support cooperative communication with multiple CORESET pool indices while managing device complexity through structured, condition-based QCL application rather than uniform complex handling.
Solution Approach 2:
The patent uses parameter changes in QCL relations based on scheduling offset conditions to enable adaptive cooperative communication. By changing which QCL relation is applied based on timing conditions, the system achieves versatility in supporting multiple CORESET pool indices while managing device complexity through parameter adaptation.
Data Source
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AI summary
The disclosure relates to communication techniques for merging 5th generation (5G) communication systems with internet-of-things (IoT) technology to support a high data transmission rate in post-4th generation (4G) system and systems therefor. The disclosure can be applied to an intelligent service (for example, a smart home, a smart building, a smart city, a smart car or a connected car, health care, digital education, retail, security and safety-related services, and the like) based on a 5G communication technology and an IoT-related technology. A method and device for transmitting and receiving signals in a wireless communication system are provided.