Data Transmission Numerology Adaptation for Diverse Service Requirements
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Solution Overview
Problem
Existing network communication protocols limit data transmission diversity by using a unified numerology for data transmission between network devices and terminal devices, which cannot effectively accommodate the increasing variety of service requirements.
Innovation Solution
The method involves using multiple numerologies for data transmission, allowing for different frequency-domain and time-domain configurations, enabling flexible resource mapping and power calculation methods to support diverse data types, thereby enhancing data diversity in networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a unified numerology is adopted for data transmission, then the communication protocol structure is simplified and easier to implement, but the ability to accommodate diverse service requirements and data types is limited
Solution Approach 1:
The patent segments the unified numerology into multiple independent numerologies (first numerology and second numerology), each with distinct frequency-domain and time-domain parameters. This allows different numerologies to be assigned to different data types (e.g., URLLC and eMBB), enabling diverse service requirements to be met simultaneously while maintaining clear, manageable configurations for each segment.
Solution Approach 2:
The patent introduces dynamic selection of numerologies based on data type requirements. The system can dynamically choose which numerology to use for transmitting specific data types, allowing the communication system to adapt to varying service demands in real-time without requiring a completely different protocol structure, thus balancing adaptability with implementation complexity.
2Adaptability or versatility
If multiple numerologies are used for different data types, then data transmission diversity and service accommodation are improved, but the complexity of resource mapping and power calculation increases
Solution Approach 1:
The patent applies local quality by assigning specific resource mapping methods to specific numerologies and data types. Each numerology has its own optimized resource mapping approach tailored to its characteristics (e.g., frequency-domain resource mapping for one numerology, time-domain resource mapping for another). This localized optimization reduces overall complexity by avoiding a need for a single complex universal mapping method.
Solution Approach 2:
The patent changes key parameters such as subcarrier spacing and cyclic prefix length to define different numerologies. By systematically varying these parameters, the system creates distinct numerologies suited for different service types while maintaining a structured approach to resource mapping and power calculation that prevents exponential complexity growth.
3Productivity
If beams with specific numerology are adopted for data transmission, then transmission efficiency for that specific data type is improved, but the limitation on transmitting other data types increases
Solution Approach 1:
The patent creates a multi-functional numerology system where multiple numerologies coexist within the same communication framework. Each numerology can be selectively activated based on the data type being transmitted, allowing the system to maintain high transmission efficiency for specific data types while retaining the flexibility to handle diverse service requirements through the universal multi-numerology architecture.
Data Source
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AI summary
Disclosed are a method and device for transmitting data. The method comprises: a transmitting terminal determines in N basic parameter sets a first target basic parameter set of a first beam for transmitting first data, different basic parameter sets of the N basic parameter comprising different frequency-domain base parameter sets and/or different time-domain basic parameter sets, and N being an integer greater than or equal to 2; and the transmitting terminal transmits the first beam on a time-domain resource, a spatial-domain resource, and a frequency-domain resource based on the first target basic parameter set; this can be adapted to requirements of diverse data in a network.