Intelligent Reflective Surface Phase Control for Wireless Signal Reliability
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Solution Overview
Problem
In wireless telecommunications, existing systems face challenges in maintaining transmission quality due to interference and physical phenomena like fading and blockage, where receivers may not receive signals effectively, and reflected signals can degrade direct signals through destructive interference.
Innovation Solution
The implementation of an Intelligent Reflective Surface (IRS) with a processor-operated neural network that determines and applies phase changes to wireless signals, optimizing transmission by simulating and iteratively updating neural network weights and phase shift matrices to minimize loss and improve signal reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional transmission methods are used, then system simplicity is maintained, but transmission quality degrades due to interference and fading
Solution Approach 1:
The patent introduces an Intelligent Reflective Surface (IRS) as an intermediary component between the transmitter and receiver. The IRS includes a reflective surface with controllable phase shift elements that actively manipulate reflected signals to improve transmission quality. This intermediary device enables signal enhancement without requiring complex modifications to the transmitter or receiver themselves, thus improving reliability while maintaining relative system simplicity.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting the phase shift values of individual elements in the IRS reflective surface. The system calculates optimal phase shift matrices based on channel state information and iteratively updates these parameters to maximize signal quality. This allows the IRS to adapt to varying propagation conditions and improve transmission quality through controlled parameter modification rather than structural complexity.
2Reliability
If access point density is increased to improve coverage, then transmission quality improves, but system cost increases
Solution Approach 1:
Instead of deploying additional access points, the patent uses an IRS as a passive intermediary that enhances existing signal paths. The IRS reflects and phase-shifts signals from existing transmitters to improve coverage and quality without requiring new infrastructure installations, thereby avoiding the cost increase associated with increased access point density.
Solution Approach 2:
The IRS creates virtual signal paths by reflecting and manipulating electromagnetic waves, effectively copying and redirecting existing signals to areas with poor coverage. This allows the system to achieve improved coverage and transmission quality without physically deploying additional access points, thus avoiding the associated costs.
3Area of stationary object
If reflected signals are used to improve coverage, then coverage area expands, but signal quality degrades due to destructive interference
Solution Approach 1:
The patent dynamically changes the phase shift parameters of IRS elements to convert destructive interference into constructive interference. By calculating optimal phase shift values based on channel state information, the system adjusts reflected signal phases to align constructively with direct signals at the receiver, thereby improving signal quality while maintaining expanded coverage area.
Solution Approach 2:
The system implements feedback mechanisms where the receiver provides channel state information back to the IRS controller. This feedback enables the IRS to calculate and apply appropriate phase shift matrices that optimize signal quality. The iterative update process continuously refines phase shift parameters to maximize constructive interference and minimize destructive interference, ensuring high signal quality across the coverage area.
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 enhances transmission quality by constructively interfering signals, providing a cost-effective solution that improves coverage and reduces bit error rates, especially in scenarios where direct or reflected signals are not received, and outperforms conventional methods at higher Signal-to-Noise Ratios.
Implementation Method 1
the IRS includes a reflective surface for reflecting the wireless signal transmitted by the transmitter of the transmitting node
Implementation Method 2
the IRS includes a processor for applying a phase change to the wireless signal according to a phase shift matrix
Implementation Method 3
the transmitting node includes a processor operating a first neural network that inputs an input bit sequence and outputs the wireless signal
Data Source
AI summary
A method of controlling transmission of a wireless signal in a wireless telecommunications network including a transmitting node, a receiving node, and an Intelligent Reflective Surface (IRS), the transmitting node including a processor operating a first neural network that inputs an input bit sequence and outputs the wireless signal and a transmitter to transmit the wireless signal output by the first neural network, the IRS includes a reflective surface for reflecting the wireless signal transmitted by the transmitter and further includes a processor for applying a phase change to the wireless signal according to a phase shift matrix, and the receiving node includes a receiver for receiving an accumulated wireless signal transmitted by the transmitter and reflected off the reflective surface and a processor operating a second neural network that inputs the received accumulated wireless signal and outputs an output bit sequence.