High-Granularity Precoder Cycling for MIMO Channel Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing MIMO communication systems face challenges with increased signaling overhead and reduced channel estimation performance as the number of antenna components increases, particularly in massive MIMO systems, necessitating improved precoder cycling mechanisms for efficient resource block allocation.
Innovation Solution
Implementing spatial frequency block coding and cyclic delay diversity with non-transparent precoder cycling, along with maintaining DMRS bundling size, to enhance precoder cycling efficiency and channel estimation performance, especially in multiple panel base stations with cross polarization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of antenna components is increased in massive MIMO systems, then spectral efficiency and throughput are improved, but channel estimation performance deteriorates and signaling overhead increases
Solution Approach 1:
The patent segments the channel estimation process by maintaining separate DMRS bundles for different precoders, allowing independent estimation for each precoder while using the same physical resources. This segmentation enables accurate channel estimation for multiple precoders without requiring additional resources, resolving the contradiction between supporting multiple antenna components and maintaining estimation accuracy.
Solution Approach 2:
The patent makes the DMRS bundle universal by using the same DMRS resources for channel estimation across multiple precoders. The same physical DMRS bundle serves multiple functions by being associated with different precoders through the precoder cycling mechanism, eliminating the need for separate DMRS bundles for each precoder and reducing signaling overhead.
2Productivity
If precoder cycling is implemented with increased granularity, then resource block allocation efficiency is improved, but channel estimation performance is reduced
Solution Approach 1:
The patent performs preliminary action by maintaining DMRS bundling size constant even when precoder cycling granularity is increased. The DMRS bundle is prepared in advance and maintained across multiple precoders, ensuring that channel estimation is performed on a sufficient resource basis before precoder cycling begins, thus preventing degradation of estimation performance.
Solution Approach 2:
The patent introduces the concept of DMRS bundle as an intermediary that mediates between the increased precoder cycling granularity and channel estimation requirements. The DMRS bundle acts as a stable reference that spans multiple precoders, allowing the system to achieve fine-grained resource block allocation while maintaining robust channel estimation through the intermediary DMRS structure.
3Productivity
If non-transparent precoder cycling is used, then resource element level cycling is achieved, but channel estimation accuracy is degraded
Solution Approach 1:
The patent applies local quality by maintaining constant DMRS bundling size specifically for channel estimation purposes while allowing non-transparent precoder cycling at the resource element level. The DMRS bundle maintains its quality and structure locally across different precoders, ensuring accurate channel estimation even as precoders change rapidly at the resource element level for improved allocation precision.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. First representations of a first symbol of a space-frequency block coded symbol pair using first resources of a set of resources and first representations of a second symbol of the space-frequency block coded symbol pair using second resources of the set of resources may be transmitted via a first beam. The set of resources may be a set of time and frequency resources. Second representations of the first symbol using the second resources and second representations of the second symbol using the first resources of the plurality of resources may be transmitted via a second beam. In some examples, across the set of resources, the first beam, and the second beam, each representation of the first symbol and each representation of the second symbol is precoded by a different respective precoder of a set of precoders.