Downlink Control Information Segmentation in 5G Carrier Aggregation
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Solution Overview
Problem
Efficient transmission and reception of downlink control information in carrier aggregation environments within 5G communication systems is a challenge due to complexities in scheduling and resource allocation.
Innovation Solution
A method involving a terminal and base station communication system where control information is scrambled with a configured scheduling-radio network temporary identifier (CS-RNTI) and a new data indicator (NDI) field is set to 0 to indicate cancellation of scheduling for specific uplink or downlink allocations, with frequency domain resource allocation determined based on configured types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If carrier aggregation is implemented to increase data transmission capacity, then system throughput is improved, but control information transmission complexity increases
Solution Approach 1:
The patent segments control information transmission by introducing separate DCI formats (0_0, 0_1, 1_0, 1_1) for different scheduling scenarios in carrier aggregation. Each DCI format is tailored to specific resource allocation types and carrier configurations, dividing the complex control signaling into manageable, purpose-specific segments that reduce overall system complexity while maintaining high throughput
Solution Approach 2:
The patent employs parameter changes by defining specific DCI format parameters (such as resource allocation fields, carrier indicator fields, and redundancy version fields) that can be dynamically adjusted based on the carrier aggregation configuration. This allows the system to adapt control information structure to match the data transmission requirements, resolving the contradiction between high capacity and low complexity
2Adaptability or versatility
If multiple DCI formats are defined for different scheduling scenarios, then scheduling flexibility is improved, but interpretation complexity increases
Solution Approach 1:
The patent extracts and isolates key identification parameters within each DCI format, such as the NDI (New Data Indicator) field and resource allocation fields, allowing the terminal to quickly identify the DCI format type and applicable scheduling scenario without parsing the entire message structure. This extraction approach maintains scheduling flexibility while reducing interpretation complexity by focusing on critical discriminative features
Solution Approach 2:
Different DCI formats are designed with local quality optimization, where each format contains only the specific parameters needed for its intended scheduling scenario. For example, DCI format 0_0 contains minimal parameters for fallback uplink scheduling, while DCI format 0_1 includes extended parameters for advanced uplink scheduling. This localized parameter inclusion reduces overall complexity while preserving the needed flexibility for various scheduling scenarios
Data Source
AI summary
The present disclosure relates to a communication technique for combining, with IoT technology, a 5G communication system for supporting a higher data transmission rate than a 4G system, and a system therefor. The present disclosure may be applied to intelligent services, such as smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail, security and safety related services, and the like based on 5G communication technologies and IoT-related technologies. The present disclosure discloses a method and an apparatus for efficiently transmitting and receiving a downlink control channel in a CA environment.