Dynamic DMRS Resource Release for 5G Uplink Throughput
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In 5G New Radio (NR) networks, the Physical Uplink Shared Channel (PUSCH) channel faces inefficiencies due to the fixed allocation of Demodulation Reference Signal (DMRS) resources, which limits data throughput, especially in applications requiring high data rates like Augmented Reality (AR), Virtual Reality (VR), and Extended Reality (XR).
Innovation Solution
The proposed solution involves dynamically releasing DMRS resources for PUSCH transmission based on resource allocation criteria, allowing the User Equipment (UE) to use a reduced DMRS mode when the network entity, such as a gNB, has capabilities for channel estimation with sparser DMRS patterns, thereby increasing data throughput by reallocating DMRS resources as data resources within the resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DMRS resources are fixed and dense, then channel estimation reliability is improved, but data throughput deteriorates due to reduced available data resources
Solution Approach 1:
The patent implements dynamic DMRS resource allocation where the density and number of DMRS resources are adjusted based on current transmission conditions, service requirements, and resource allocation size. The UE can switch between different DMRS patterns (e.g., from dense to sparse) depending on whether the allocated resource blocks exceed a threshold, allowing the system to optimize between channel estimation reliability and data throughput in real-time.
Solution Approach 2:
The patent changes the parameters of DMRS resources dynamically - specifically the number of DMRS symbols, the density of DMRS in time-frequency grid, and the mapping pattern. When resource allocation is large and service requirements allow, the system reduces DMRS density parameters to free up resources for data transmission, while maintaining sufficient channel estimation quality through intelligent parameter selection.
2Productivity
If DMRS resources are reduced, then data throughput is improved by reallocating resources, but channel estimation precision deteriorates
Solution Approach 1:
The system dynamically adjusts DMRS parameters (density, pattern, number of symbols) to reduce resource overhead while maintaining sufficient channel estimation precision. By changing these parameters based on allocation size and service type, the system achieves better data throughput without sacrificing the minimum required estimation accuracy.
Solution Approach 2:
The patent introduces dynamic adaptation where the UE and network entity jointly determine the appropriate DMRS configuration based on current conditions. The system transitions from static dense DMRS to dynamic sparse DMRS when conditions permit, optimizing the balance between estimation precision and data throughput in real-time.
3Productivity
If DMRS resources are released and reused for data, then resource utilization efficiency is improved, but system complexity increases due to dynamic resource management
Solution Approach 1:
The patent implements self-service mechanisms where the UE autonomously determines whether to release DMRS resources based on pre-configured criteria, thresholds, and service requirements. The UE can independently switch between different DMRS patterns without requiring complex real-time coordination with the network entity, reducing overall system complexity while improving resource utilization efficiency.
Solution Approach 2:
The network entity provides preliminary configuration to the UE including thresholds for resource allocation size, supported DMRS patterns, and service requirement specifications. This preliminary action allows the UE to make autonomous decisions about resource release without complex real-time negotiations, simplifying the dynamic resource management process while maintaining high utilization efficiency.
Data Source
AI summary
Examples of the disclosure relate to apparatus, methods and computer programs for transmitting data. In examples of the disclosure a User Equipment (UE) can receive a configuration for releasing demodulation reference signal (DMRS) resources for uplink transmission. The releasing of the DMRS resources is contingent upon a resource allocation for the uplink transmission satisfying one or more criteria. The UE can also receive a resource allocation for the uplink transmission. If the resource allocation satisfies the one or more criteria the UE can release at least some of the DMRS resources. The UE can then use at least some of the released DMRS resources as a data resource within the resource allocation and transmit data using at least some of the released DMRS resources.


