MIMO Spatial Channel Sub-Matrix Segmentation for Millimeter Wave Path Loss
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Solution Overview
Problem
MIMO wireless transmission in millimeter wave bands faces challenges due to high path loss and environmental variations, requiring optimization of directional beams for improved performance.
Innovation Solution
A method involving a first network node that identifies spatial channel sub-matrices with full rank, determines candidate transmit configurations, selects an optimal configuration, and configures the second network node for maximum throughput by communicating the transmit configuration, which includes amplitude, phase, and polarization of transmit beams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MIMO wireless transmission is used in millimeter wave bands, then transmission capacity is improved through highly directional beams and spatial reuse, but path loss increases significantly
Solution Approach 1:
The spatial channel matrix is segmented into multiple spatial channel sub-matrices, each representing different spatial layers or beam groups. This segmentation enables independent optimization of each sub-matrix and facilitates diversity reception by selecting the best sub-matrix for transmission, thereby maintaining high transmission capacity while mitigating path loss effects.
Solution Approach 2:
The system dynamically changes transmission parameters including beam directions, spatial layer configurations, and precoding matrices based on channel conditions. By adapting these parameters in real-time, the system optimizes the trade-off between transmission capacity and path loss, selecting configurations that maximize throughput despite millimeter wave attenuation.
2Reliability
If beam management is implemented to optimize transmission performance, then directional beam alignment is improved, but system complexity increases
Solution Approach 1:
Beam management is simplified by segmenting the overall beam space into discrete spatial channel sub-matrices. Instead of managing all possible beam combinations, the system focuses on identifying and optimizing a limited set of sub-matrices, reducing the computational burden and complexity of beam alignment while maintaining reliable transmission performance.
Solution Approach 2:
The system employs self-service mechanisms where the spatial channel matrix automatically reveals the optimal sub-matrices through its structure. By analyzing the rank and properties of the channel matrix, the system self-configures the beam alignments without requiring exhaustive external beam sweeping or complex coordination, thereby reducing management complexity.
3Productivity
If spatial channel sub-matrices with full rank are identified and used, then transmission capacity is maximized, but the system must handle rank-deficient sub-matrices
Solution Approach 1:
The system dynamically adapts between different transmission modes based on the rank of identified spatial channel sub-matrices. When full-rank sub-matrices are available, the system operates in high-capacity MIMO mode. When rank-deficient sub-matrices are detected, the system transitions to alternative modes such as beamforming or spatial multiplexing with reduced layers, ensuring continuous operation across varying channel conditions.
Solution Approach 2:
The system changes transmission parameters including the number of spatial layers, precoding matrix dimensions, and modulation schemes based on the rank of the spatial channel sub-matrix. This adaptive parameter adjustment allows the system to maximize capacity when full-rank sub-matrices are available while gracefully degrading to maintain connectivity when rank-deficient conditions occur.
Data Source
AI summary
Methods (10) and devices (20; 30) for configuring multiple input multiple output, MIMO, wireless transmissions are provided. The method (10) comprises: participating (11), by a first network node (20), in a MIMO wireless transmission between a first network node (20) and a second network node 30 of a wireless network (20, 30), the wireless transmission being associated with a spatial channel matrix (40); while participating (11) in the MIMO wireless transmission: identifying (12), by the first network node (20) and in the spatial channel matrix (40), at least one spatial channel sub-matrix (41) having full rank; determining (13), by the first network node (20) and for each identified spatial channel sub-matrix (41), a candidate transmit configuration for the second network node (30); selecting (14), by the first network node (20) and from the determined candidate transmit configurations, a transmit configuration for the second network node (30); and configuring (15), by the first network node (20), the second network node (30) to use the transmit configuration.