MU-MIMO Orthogonal Code Grouping for Matrix Inversion Load
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Solution Overview
Problem
Current MU-MIMO systems face challenges in efficiently managing high-order channel matrices, leading to increased computation load and power consumption, particularly due to the need for frequent updates of the inverse matrix, which can result in traffic congestion and reduced communication quality.
Innovation Solution
The system separates transmitting devices into groups using orthogonal codes, enabling code multiplexing and orthogonalization of the channel matrix, thereby simplifying the matrix and reducing the number of antennas required, and facilitating diversity reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of transmit and receive antennas is increased to support high-order MIMO (e.g., 16x16), then the communication channel capacity increases, but the computation load for determining the inverse matrix increases significantly (N^3 complexity)
Solution Approach 1:
The patent divides the set of transmit devices into multiple groups, where each group is assigned a unique orthogonal code. This segmentation transforms a single large N×N channel matrix into multiple smaller grouped matrices, reducing the overall computation load for inverse matrix determination while maintaining support for multiple antennas through code multiplexing
2Reliability
If the inverse matrix is frequently updated to track channel variations in high-speed mobile or adverse environments, then the communication reliability improves, but the power consumption and processing delay increase
Solution Approach 1:
By segmenting transmit devices into orthogonal code groups, the patent reduces the frequency and computational burden of inverse matrix updates. The orthogonal structure allows for more efficient tracking of channel variations with reduced processing requirements, thereby lowering power consumption while maintaining reliability
Solution Approach 2:
The patent performs preliminary orthogonal code assignment and group formation before communication begins. This preliminary structuring of the transmission system enables more efficient real-time processing during actual communication, reducing the computational burden and power consumption during frequent inverse matrix updates
3Productivity
If conventional MU-MIMO is applied to increase frequency resource utilization, then communication channel capacity increases, but the system becomes vulnerable to non-regular matrix production and traffic congestion
Solution Approach 1:
The patent introduces orthogonal codes as an intermediary layer between the physical antenna layer and the signal processing layer. This intermediary code multiplexing structure ensures mathematical regularity in the channel matrix while maintaining high communication capacity, preventing the non-regular matrix problems that plague conventional MU-MIMO systems
Data Source
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AI summary
A Multiple Input Multiple Output (MIMO) communication method and system for performing communication between N, N is an integer greater than or equal to 2, transmitting devices (110 to 140) each having a transmit antenna and at least one receiving device (200) having N receive antennas (211 to 241) by using a multi-user MIMO scheme. The method includes dividing the N transmitting devices into a plurality of sets, and assigning an orthogonal code to each set of transmitting devices as a digital signal sequence to be transmitted by each of the transmitting devices, and arranging the digital signal sequences to be transmitted by the transmitting devices in a frequency axis direction in which an inverse fast Fourier transform is performed, and performing coding.