Millimeter-Wave Reference Signal Scheduling via Beam Pairing
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently scheduling multiple users for reference signal transmissions in millimeter wave systems, particularly in managing beamforming and interference in multi-user multiple-input/multiple-output (MU-MIMO) transmissions.
Innovation Solution
A mechanism is provided for a base station to optimize UE selection for MU-MIMO transmissions by constructing a beam pairing table based on UE feedback, grouping UEs based on beamforming configurations, and selecting UEs for MU transmissions using a codebook to minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming is used to direct transmissions in specific directions, then transmission efficiency and signal quality are improved, but interference management becomes more complex when scheduling multiple users
Solution Approach 1:
The patent segments users into different groups based on their beamforming configurations and spatial directions. By dividing the user set into multiple groups where each group uses distinct beamforming parameters, the system can manage interference more effectively by controlling which groups transmit simultaneously, thus reducing the complexity of interference management while maintaining high signal quality through targeted beamforming.
Solution Approach 2:
The patent implements dynamic user grouping and scheduling based on current channel conditions, beamforming configurations, and interference levels. The base station continuously adjusts which groups can transmit simultaneously by evaluating real-time spatial separation and interference metrics, allowing the system to adaptively optimize both signal quality and interference management rather than using static configurations.
2Productivity
If multiple users are scheduled for simultaneous MU-MIMO transmissions, then resource utilization and productivity are improved, but interference between users increases
Solution Approach 1:
The patent divides users into multiple groups based on their beamforming configurations and spatial characteristics. Each group is assigned specific time-frequency resources, and the base station controls which groups can transmit simultaneously. This segmentation allows the system to maintain high resource utilization by keeping multiple groups ready for transmission while preventing excessive interference by carefully selecting which groups transmit at the same time based on their spatial separation.
Solution Approach 2:
The patent dynamically changes scheduling parameters including user group selection, resource block allocation, and power levels based on current channel conditions and interference measurements. By adjusting these parameters in real-time, the system can maximize the number of simultaneous transmissions (improving productivity) while maintaining acceptable interference levels through adaptive parameter optimization.
3Measurement precision
If beam pairing tables are constructed based on detailed UE feedback, then beam pairing accuracy and communication quality are improved, but feedback overhead and processing complexity increase
Solution Approach 1:
The patent extracts only the essential beam pairing information needed for user grouping and scheduling decisions from the complete UE feedback data. Instead of processing all detailed channel state information, the base station identifies and utilizes key parameters such as preferred beam directions and spatial characteristics to construct simplified beam pairing tables, thereby maintaining adequate beam pairing accuracy while significantly reducing feedback processing complexity and overhead.
Solution Approach 2:
The patent implements partial beam pairing table construction by focusing on the most critical beam pairs for user grouping rather than optimizing all possible beam combinations. This partial approach provides sufficient beam pairing accuracy for effective user scheduling while avoiding the excessive processing requirements of comprehensive beam pair evaluation, achieving a practical balance between accuracy and complexity.
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AI summary
Methods, systems, and devices for wireless communication are described. A user equipment (UE) may identify a first set of transmit beams and an associated first set of receive beams having a channel characteristic that is below a first threshold. The UE may identify, for each receive beam in the first set of receive beams, a transmit beam in a second set of transmit beams having a channel characteristic above a second threshold. The UE may identify a relative channel characteristic value between each transmit beam in the first set of transmit beams and each transmit beam in the second set of transmit beams. The UE may transmit a message that identifies the beams in the first and second set of transmit beams, the identified receive beam from the first set of receive beams for each beam in the first set of transmit beams, and the relative channel characteristic value.