Beijing University of Posts and Telecommunications (20240297684). MULTI-FUNCTIONAL RECONFIGURABLE INTELLIGENCE SURFACE INTEGRATING SIGNAL REFLECTION, REFRACTION AND AMPLIFICATION AND ENERGY HARVESTING AND APPLICATION THEREOF simplified abstract

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MULTI-FUNCTIONAL RECONFIGURABLE INTELLIGENCE SURFACE INTEGRATING SIGNAL REFLECTION, REFRACTION AND AMPLIFICATION AND ENERGY HARVESTING AND APPLICATION THEREOF

Organization Name

Beijing University of Posts and Telecommunications

Inventor(s)

Hui Tian of Beijing (CN)

Wen Wang of Beijing (CN)

Ping Zhang of Beijing (CN)

Gaofeng Nie of Beijing (CN)

Xue Rong of Beijing (CN)

Wanli Ni of Beijing (CN)

MULTI-FUNCTIONAL RECONFIGURABLE INTELLIGENCE SURFACE INTEGRATING SIGNAL REFLECTION, REFRACTION AND AMPLIFICATION AND ENERGY HARVESTING AND APPLICATION THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240297684 titled 'MULTI-FUNCTIONAL RECONFIGURABLE INTELLIGENCE SURFACE INTEGRATING SIGNAL REFLECTION, REFRACTION AND AMPLIFICATION AND ENERGY HARVESTING AND APPLICATION THEREOF

Simplified Explanation

The patent application describes a multi-functional reconfigurable intelligence surface that can reflect, refract, amplify signals, and harvest energy to enhance wireless signal coverage.

  • Integrates signal reflection, refraction, amplification, and energy harvesting on one surface.
  • Supports wireless signal reflection, refraction, and amplification through harvested energy.
  • Enhances effective coverage of wireless signals.
  • Solves a non-convex optimization problem in multi-user wireless networks to maximize the sum rate of users in an MF-RIS-assisted non-orthogonal multiple access network.

Key Features and Innovation

  • Integration of signal reflection, refraction, amplification, and energy harvesting on a single surface.
  • Non-convex optimization algorithm designed to maximize the sum rate of users in a wireless network.
  • Enhances wireless signal coverage and efficiency.

Potential Applications

The technology can be applied in:

  • Wireless communication networks
  • Internet of Things (IoT) devices
  • Smart cities infrastructure

Problems Solved

  • Enhances wireless signal coverage and efficiency.
  • Solves non-convex optimization problems in multi-user wireless networks.

Benefits

  • Improved wireless signal coverage.
  • Enhanced efficiency in wireless communication networks.
  • Optimal utilization of energy for signal amplification.

Commercial Applications

Title: Multi-Functional Reconfigurable Intelligence Surface for Enhanced Wireless Signal Coverage This technology can be used in:

  • Telecommunications companies for improving network performance.
  • IoT device manufacturers for enhancing connectivity.
  • Smart city developers for efficient infrastructure deployment.

Prior Art

Readers can explore prior art related to reconfigurable intelligent surfaces, signal reflection, and energy harvesting technologies in wireless communication networks.

Frequently Updated Research

Stay updated on advancements in reconfigurable intelligent surfaces, signal processing algorithms, and energy harvesting techniques for wireless networks.

Questions about Multi-Functional Reconfigurable Intelligence Surface

How does the technology optimize signal coverage in wireless networks?

The technology optimizes signal coverage by integrating signal reflection, refraction, amplification, and energy harvesting on a single surface, enhancing the efficiency of wireless communication.

What are the potential commercial applications of this technology?

The technology can be applied in telecommunications, IoT devices, and smart city infrastructure for improving network performance, enhancing connectivity, and deploying efficient infrastructure.


Original Abstract Submitted

a multi-functional reconfigurable intelligence surface (mf-ris) integrating signal reflection, refraction and amplification and energy harvesting and an application thereof are provided. the mf-ris can support wireless signal reflection, refraction and amplification and energy harvesting on one surface, to amplify, reflect, or refract a signal through harvested energy, and further enhance effective coverage of wireless signals. when a signal model of the mf-ris constructed in the present disclosure is applied to a multi-user wireless network, a non-convex optimization problem of jointly designing operation modes and parameters that include bs transmit beamforming, and different components and a deployment position of the mf-ris is constructed with an objective of maximizing a sum rate (sr) of a plurality of users in an mf-ris-assisted non-orthogonal multiple access network. then, an iterative optimization algorithm is designed to effectively solve the non-convex optimization problem, to maximize the sr of the plurality of users.