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INTELLIGENT REFLECTING
SURFACES (IRS)
The future wireless communication
Summarized by: Martin Wachiye, Graduate Member IEEE Kenya Section
1
Introduction:
Active wall: a wall equiped with active
frequency selective surface used to control
the propagation environment.
Evolved active walls(Intelligent walls):
autonomous part of a smart indoor
environment for cognitive wireless networks.
Metasurfaces: 2D metamaterial that is
digitally controlled.
Elements of an IW:
- active FSS
- simple low-cost sensors
- cognitive engine with ML ability
2
Some Common Definitions
3
Motivation for LIS systems
1. Desire to control propagation environment to increase quality
of service (QoS) in wireless communication.
4
The Need:
IRS Signal Model
yn = βne(jθn) xn, n = 1, · · · , N,
where
βn∈ [0, 1] is the reflection coefficient & control the
reflected signal’s amplitude (or attenuation due to
passive reflection)
θn∈ [0, 2π) is the phase shift
N is the total number of elements of the IRS.
5
Architecture of IRS( Hardware)
6
Active and passive elements. ( 3 layers & smart controller)

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Intelligent reflecting surfaces (IRS)

  • 1. INTELLIGENT REFLECTING SURFACES (IRS) The future wireless communication Summarized by: Martin Wachiye, Graduate Member IEEE Kenya Section 1
  • 2. Introduction: Active wall: a wall equiped with active frequency selective surface used to control the propagation environment. Evolved active walls(Intelligent walls): autonomous part of a smart indoor environment for cognitive wireless networks. Metasurfaces: 2D metamaterial that is digitally controlled. Elements of an IW: - active FSS - simple low-cost sensors - cognitive engine with ML ability 2 Some Common Definitions
  • 3. 3
  • 4. Motivation for LIS systems 1. Desire to control propagation environment to increase quality of service (QoS) in wireless communication. 4 The Need:
  • 5. IRS Signal Model yn = βne(jθn) xn, n = 1, · · · , N, where βn∈ [0, 1] is the reflection coefficient & control the reflected signal’s amplitude (or attenuation due to passive reflection) θn∈ [0, 2π) is the phase shift N is the total number of elements of the IRS. 5
  • 6. Architecture of IRS( Hardware) 6 Active and passive elements. ( 3 layers & smart controller)