Blind Decoding Candidate Index Mapping for DCI Redundancy Version
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently transmitting and receiving downlink control information (DCI) that meets varying quality of service (QoS) requirements, particularly in next-generation 5G systems with diverse communication scenarios such as eMBB, URLLC, and mMTC, where different QoS demands necessitate tailored data scheduling and decoding techniques.
Innovation Solution
The method involves receiving and transmitting DCI by determining the redundancy version (RV) value based on blind decoding candidate indices and incremental redundancy schemes, allowing for efficient data scheduling and decoding based on target QoS requirements, with the RV value obtained through modulo operations and considering control resource block sets and transmission time intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DCI is repeatedly transmitted on multiple blind decoding candidates to improve reliability, then the reliability of data scheduling information is improved, but the complexity of decoding and processing increases
Solution Approach 1:
The patent applies parameter changes by dynamically determining the RV value based on the blind decoding candidate index through modulo operation. This allows the system to vary the redundancy version parameter across multiple transmissions, enabling efficient HARQ combining without requiring complex explicit signaling for each transmission parameter.
Solution Approach 2:
The system implements self-service by automatically determining the RV value through a predefined mapping relationship between blind decoding candidate indices and RV values. The UE can autonomously calculate the RV value using modulo operation on the candidate index, eliminating the need for additional explicit RV signaling and reducing processing complexity.
2Reliability
If different redundancy versions are used for repeated DCI transmissions to improve decoding reliability, then the decoding success rate is improved, but the signaling overhead increases
Solution Approach 1:
The patent uses copying by creating multiple versions of the DCI message with different RV values applied to the redundancy information. Each blind decoding candidate carries a copied version of the DCI with a specific RV determined by the candidate index, allowing HARQ combining without explicit RV signaling.
Solution Approach 2:
The RV parameter is dynamically changed based on the blind decoding candidate index through modulo operation. This parameter change approach allows different redundancy versions to be used across multiple transmissions while avoiding additional signaling overhead, as the RV is implicitly determined by the candidate selection.
3Adaptability or versatility
If blind decoding candidates are allocated across multiple control resource block sets to support diverse QoS, then the adaptability to different QoS requirements is improved, but the resource allocation complexity increases
Solution Approach 1:
The patent applies segmentation by dividing blind decoding candidates across multiple control resource block sets (CORESETs). Each CORESET can be associated with different QoS requirements, and the UE segments its decoding attempts across these separate resource sets. The RV determination uses modulo operation on the candidate index, which works consistently across segmented resources.
Solution Approach 2:
The mapping relationship between blind decoding candidate indices and RV values serves a universal function across different control resource block sets and aggregation levels. The same modulo-based RV determination mechanism applies universally regardless of which CORESET or aggregation level is used, enabling the system to handle diverse QoS requirements with a single unified approach.
Data Source
Figure 1(A)~1(B)
Figure 2
Figure 3(a)~3(b)
AI summary
Disclosed is a method for a terminal to receive downlink control information (DCI) in a wireless communication system. In particular, the method comprises: receiving information related to a mapping relation between a blind decoding candidate index and a redundancy version (RV) for DCI; detecting DCIs repeatedly transmitted in a plurality of blind decoding candidates; acquiring an RV value of the DCI on the basis of the information and the index of the blind decoding candidate in which the DCI has been detected, and acquiring data scheduling information included in the DCI on the basis of the RV value.