Dually Polarized Antenna Spatial Multiplexing for MIMO Complexity
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Solution Overview
Problem
As MIMO systems increase in size, the complexity of decoding and the computational load grow exponentially, leading to increased costs and power consumption, making existing technologies impractical for larger systems like 4×4 MIMO schemes.
Innovation Solution
The method involves transmitting symbol signals on antennas with orthogonal polarizations, using receive antennas to project and rotate signals to minimize interference, allowing for the detection of eigen vectors that represent parallel channels, thereby reducing the processing load and enabling efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MIMO system size is increased (e.g., from 2×2 to 4×4), then spatial multiplexing gain and data transmission rate are improved, but decoding complexity and computational load increase exponentially
Solution Approach 1:
The patent divides the MIMO system into two independent polarization channels (first polarization and second polarization). Each channel operates independently with its own transmit antennas and receive antennas, allowing the decoding complexity to be divided into two separate, manageable tasks rather than handling the entire 4×4 system as one complex unit.
Solution Approach 2:
The patent replaces complex electronic signal processing with physical polarization orthogonality. By using dually polarized antennas that transmit in orthogonal polarization states, the system achieves channel separation through physical properties rather than requiring complex electronic decoding operations, thus reducing computational load.
2Productivity
If MIMO system size is increased, then spatial multiplexing gain is improved, but power consumption increases
Solution Approach 1:
The patent segments the MIMO system into two independent polarization channels, each requiring separate power supply and processing. This segmentation allows for more efficient power management compared to a monolithic 4×4 system, as each channel can operate independently and power consumption can be optimized for each sub-system.
Solution Approach 2:
By using physical polarization orthogonality to achieve channel separation, the patent reduces the need for complex power-intensive electronic processing operations, thereby lowering overall power consumption while maintaining spatial multiplexing gain.
3Productivity
If MIMO system size is increased, then data transmission capacity is improved, but cost increases
Solution Approach 1:
The patent segments the expensive 4×4 MIMO system into two simpler 2×2 polarization channels. Each channel can be implemented with fewer, less expensive antennas and processing units, reducing the overall system cost while maintaining the data transmission capacity of the larger system.
Solution Approach 2:
By replacing complex electronic processing with physical polarization-based separation, the patent reduces the need for expensive high-performance processors and electronics, thereby lowering system cost while maintaining high data transmission capacity through spatial multiplexing.
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 simplifies the processing load by shifting the orthogonal feature from electronic to physical channels, allowing for high-rate data transmission with reduced computational complexity, similar to smaller MIMO systems, and is applicable in wireless communication systems like cellular networks.
Implementation Method 1
the first plurality of transmit antennas having a same first polarization and the second plurality of transmit antennas having a same second polarization orthogonal to said first polarization
Implementation Method 2
the third plurality of receive antennas having a same third polarization and the fourth plurality of receive antennas having a same fourth polarization orthogonal to said third polarization
Data Source
AI summary
A method is provided for transmitting radio signals. Two channels are defined by two transmit antennas, having two orthogonal directions, together with two receive antennas, having two orthogonal directions. An optimal quality of one received signal is determined by signal processing, which emulates a rotation of the two orthogonal receive directions, and a mutual interference of the signals received on the two channels, due to a polarization mismatch, is cancelled, based on a corresponding optimal rotation angle.