DMRS Configuration Segmentation for DCI Payload Reduction
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Solution Overview
Problem
Current 5G communication systems face challenges in efficiently designing downlink control information (DCI) and demodulation reference signal (DMRS) configurations for network coordination and multi-antenna port support, which affects transmission efficiency and service satisfaction across different services.
Innovation Solution
A method and apparatus for transmitting DMRS configuration information via RRC signaling, including information for DMRS patterns and extended DMRS, to determine the number of DMRS subcarriers in OFDM symbols, supporting up to 8 or 12 antenna ports, and incorporating 1-bit scrambling identity in DCI, enabling efficient DMRS signaling and antenna port multiplexing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If DMRS configuration supports up to 12 antenna ports, then antenna port multiplexing capability is improved, but DCI payload size increases
Solution Approach 1:
The DMRS configuration is segmented into two distinct patterns: a first DMRS pattern for up to 8 antenna ports and a second DMRS pattern for up to 12 antenna ports. This segmentation allows the system to use smaller DCI payloads when only 8 ports are needed, while still supporting 12 ports when necessary, thus resolving the contradiction between versatility and payload size.
Solution Approach 2:
The system dynamically selects between the first and second DMRS patterns based on the actual number of antenna ports being used. The DCI includes a field that indicates which pattern is used, allowing dynamic adaptation of the DMRS configuration to match the actual transmission requirements, thereby optimizing the balance between capability and overhead.
2Adaptability or versatility
If extended DMRS is added to support additional antenna ports, then DMRS capability is improved, but signaling overhead increases
Solution Approach 1:
The extended DMRS configuration is prepared in advance through RRC signaling, where the base station configures the terminal with the second DMRS pattern parameters before actual data transmission. This preliminary configuration allows the terminal to be ready for 12 antenna port support without requiring additional signaling overhead during the actual data transmission phase.
Solution Approach 2:
The extended DMRS capability is extracted as a separate, optional feature that can be activated only when needed. The DCI includes a field that indicates whether the extended pattern is used, allowing the system to take out the extended capability from the standard configuration and activate it only when 12 antenna ports are required, thereby minimizing signaling overhead.
3Productivity
If DMRS pattern information is dynamically indicated in DCI, then transmission efficiency is improved, but DCI configuration complexity increases
Solution Approach 1:
The DCI configuration applies local quality by using a compact indicator field that specifies the DMRS pattern type (first or second pattern) rather than fully reconfiguring the entire DCI structure. This localized modification allows efficient dynamic indication of the DMRS pattern while maintaining overall DCI simplicity and avoiding excessive configuration complexity.
Data Source
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AI summary
A method and apparatus for downlink control information (DCI) design for network coordination (coordinated multi-point transmission (CoMP)) are provided. In addition, a method and apparatus for configuration of demodulation reference signal (DMRS) and transmission and reception of DMRS, and a method and apparatus for transmitting and receiving uplink signal according to uplink transmission scheme are provided. The disclosure relates to a communication method and system for converging a 5th-generation (5G) communication system for supporting higher data rates beyond a 4th-generation (4G) system with a technology for internet of things (IoT). The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.