Passive RF Reflection Surface for LIS Beamforming
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Solution Overview
Problem
The existing Large Intelligent Surface (LIS) concept for wireless communication faces challenges in implementing massive MIMO systems due to the need for digital baseband processing, which results in high power consumption and difficulty in achieving reasonable response times, especially when dealing with a large number of antennas.
Innovation Solution
A system comprising a plurality of reconfigurable antenna units that passively reflect RF signals without digital signal processing, using a wake-up signal to initiate training operations to achieve beamforming in both reception and reflection, allowing communication between devices without the need for digital baseband processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital baseband processing is used for massive MIMO systems, then beamforming capability is achieved, but power consumption increases and response time deteriorates
Solution Approach 1:
The patent replaces the digital baseband processing system (electronic/mechatronic) with a passive optical reflection system. The intelligent surface uses passive reflective elements that manipulate RF signals through physical reflection and phase shifting without requiring digital processing, thereby eliminating the power consumption and response time issues associated with digital baseband processing while maintaining beamforming capability.
Solution Approach 2:
The patent extracts the signal processing function from the traditional digital baseband processing unit and relocates it to the passive reflective surface itself. Each reflective element independently performs phase shifting and signal manipulation, removing the need for centralized digital processing and thereby reducing power consumption and improving response time.
2Measurement precision
If digital baseband processing is used for massive MIMO systems, then signal focusing in three-dimensional space is achieved, but response time deteriorates
Solution Approach 1:
The patent replaces time-consuming digital baseband processing with instantaneous passive optical reflection. The reflective elements manipulate signals in the optical domain through physical laws (reflection, refraction, phase shifting), which occur at the speed of light without requiring sequential digital processing steps, thereby achieving precise signal focusing with minimal response time.
Solution Approach 2:
The patent pre-configures the reflective elements with specific phase shifting characteristics and spatial arrangements that enable instantaneous signal focusing. The geometric optics principles are built into the physical structure of the intelligent surface, allowing the system to focus signals in three-dimensional space without requiring real-time digital computation and adjustment.
3Adaptability or versatility
If a large number of antennas are deployed, then coverage and capacity are improved, but device complexity increases
Solution Approach 1:
The patent merges the functions of multiple individual antennas into a single integrated intelligent surface. Instead of deploying and managing numerous separate antenna elements with individual processing units, the system uses a continuous reflective surface with distributed passive elements that collectively provide the same coverage and capacity benefits while dramatically reducing system complexity.
Solution Approach 2:
The intelligent surface serves multiple functions simultaneously: it provides signal reflection, beamforming, spatial filtering, and multi-user support all through passive optical manipulation. This multi-functionality replaces what would otherwise require multiple separate active antenna systems with individual processing chains, thereby reducing overall system complexity while maintaining adaptability and coverage.
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 enables efficient energy use and reduces power consumption by allowing passive reflection of RF signals, facilitating communication links between devices while avoiding the complexities of digital signal processing, thus enhancing energy efficiency and communication reliability.
Implementation Method 1
a plurality of antenna units (2) which are configured to receive an RF signal and passively reflect the RF signal
Implementation Method 2
the antenna units are reconfigurable to achieve beamforming in reception and reflection, respectively, of the RF signal
Data Source
AI summary
A system for reflecting an RF signal comprises a plurality of antenna units configured to receive the RF signal and passively reflect the RF signal. The antenna units are reconfigurable to achieve beamforming in reception and reflection, respectively, of the RF signal. The system may be a Large Intelligent Surface (LIS). A control system is configured to: detect (301) a wake-up signal WUS1, and after detecting WUS1, perform a first training operation (I) comprising: receiving (302), by the antenna units, a first reference signal RS1 from a first device D1 and reconfiguring (303) the antenna units based on RS1 to achieve beamforming in reception in a direction of D1. By the combination of WUS1 and the first training operation, the system may be automatically configured to achieve beamforming in relation to D1 which is thereby enabled to communicate via the system.