Multi-User Multi-Antenna Transmission Optimization
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Solution Overview
Problem
Current communication networks face challenges in achieving global optimum for multi-user multi-antenna transmission due to limitations in channel state information reporting, which results in suboptimal beamforming and reduced multi-user grouping possibilities in 5G/NR networks.
Innovation Solution
The proposed solution utilizes single-user based CSI reports from terminal devices to determine multi-user based precoding matrices, allowing for phase and amplitude adjustments to achieve global optimum multi-user multi-antenna transmission, thereby enhancing performance gain and tolerability against beam correlations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If codebook-based solution is employed for DL MU MIMO transmission, then resource allocation can be performed according to CSI reports, but only local optimum can be achieved for SU MIMO transmission of each UE
Solution Approach 1:
The patent combines CSI reports from multiple UEs and processes them collectively to determine MU MIMO transmission parameters. Instead of optimizing each UE independently (SU MIMO), the system merges the measurement information from multiple users and performs joint optimization, enabling transition from local optimum (individual UE optimization) to global optimum (multi-UE optimization) through unified parameter determination.
2Device complexity
If SU-based CSI reports are used for MU MIMO transmission, then implementation complexity is reduced, but global optimum for MU grouping cannot be achieved
Solution Approach 1:
The patent changes the parameters used for transmission optimization by utilizing SU-based CSI reports (which are already available from UEs) and transforming them into MU MIMO transmission parameters through joint processing. This parameter transformation allows the system to achieve global optimum for MU grouping without requiring complex new measurement mechanisms, thus maintaining implementation simplicity while improving performance.
3Measurement precision
If reciprocity-based solution is used for DL MU MIMO transmission, then channel estimation can be performed, but large resources are required
Solution Approach 1:
The patent enables the UEs to self-generate CSI reports based on their received signals and channel conditions. Instead of requiring the network to perform extensive channel estimation using reciprocity-based methods (which consume large resources), each UE independently measures and reports its channel state, allowing the network to obtain necessary channel information with minimal resource consumption while maintaining estimation accuracy.
Data Source
AI summary
Various embodiments of the present disclosure provide a method for multi-user multi-antenna transmission. The method which may be performed by a network node comprises calculating parameters for multi-user multi-antenna transmission, according to measurement information reported by a first set of terminal devices. The method further comprises selecting, from the first set of terminal devices, a second set of terminal devices to which the multi-user multi-antenna transmission is to be applied, based at least in part on performance gain estimated according to the parameters for multi-user multi-antenna transmission.