Antenna Virtualization Vectors Reduce Signaling Overhead in Massive MIMO
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Solution Overview
Problem
In massive MIMO systems, the increase in the number of cell users leads to significant signaling overhead for dynamic scheduling of wireless time-frequency resources, which is a pressing issue that needs to be addressed.
Innovation Solution
The method involves using multiple antenna port groups to transmit and receive signals, with antenna virtualization vectors associated with each port group to quickly determine time resource pools, reducing signaling overhead and improving resource allocation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of cell users is increased to improve total throughput, then productivity is improved, but signaling overhead increases
Solution Approach 1:
The patent segments the time-frequency resources into multiple resource pools, each associated with specific antenna port groups. This segmentation allows for more efficient resource allocation and reduces the signaling overhead required for dynamic scheduling by organizing resources in a structured manner that can be addressed with fewer control signals.
Solution Approach 2:
The patent establishes associations between antenna port groups and time resource pools in advance through configuration signaling. This preliminary action allows the UE to pre-know which resource pools to monitor for specific antenna ports, reducing the need for frequent dynamic scheduling signals and thereby reducing overall signaling overhead.
2Loss of information
If antenna port groups are associated with time resource pools to reduce signaling overhead, then device complexity increases
Solution Approach 1:
The patent enables the UE to autonomously determine which time resource pools to monitor based on the association between antenna port groups and resource pools. The UE uses the first antenna virtualization vector and the index of the antenna port group to self-determine the location of the first time resource pool, reducing the need for complex network-controlled resource allocation and simplifying the overall system complexity.
3Productivity
If multiple antenna port groups are used to improve resource allocation efficiency, then ease of operation decreases
Solution Approach 1:
The patent introduces antenna virtualization vectors as intermediaries that link antenna port groups to time resource pools. The first antenna virtualization vector serves as a mediator that allows the UE to translate the antenna port group index into the location of the corresponding time resource pool, simplifying the operation of resource determination while maintaining efficient resource allocation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces signaling overhead and enhances the dynamicity and timeliness of resource scheduling, leveraging the gain of multiple antennas through antenna virtualization vectors for analog beamforming, thereby optimizing resource utilization.
Implementation Method 1
the UE can quickly determines the location of the first time resource pool in the time domain by the index of the first antenna port group in the K antenna port groups
Implementation Method 2
multiple antennas can improve communication quality by forming narrower beams pointing to a specific direction through beamforming
Data Source
AI summary
The present disclosure discloses a method and device for multi-antenna transmission in UE and base station. The user equipment receives a first radio signal at first, then receives a first signaling. The first radio signal is transmitted by K antenna port groups, and the first signaling is used to determine a first time resource pool; a second antenna virtualization vector is associated with the first antenna port group; the second antenna virtualization vector is an antenna virtualization vector available to the user equipment in the first time resource pool. The invention effectively reduces signaling overhead of wireless resource dynamic scheduling of a massive MIMO system.