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Degrees of Freedom of Cache-Aided Interference Channels Assisted by Active Intelligent Reflecting Surfaces
Journal article   Peer reviewed

Degrees of Freedom of Cache-Aided Interference Channels Assisted by Active Intelligent Reflecting Surfaces

Abolfazl Changizi, Ali H. Abdollahi Bafghi, Mahtab Mirmohseni and Masoumeh Nasiri-Kenari
IEEE Journal on Selected Areas in Information Theory, Vol.7, pp.192-204
2026

Abstract

Array signal processing Cache memory coded caching degrees of freedom (DoF) Device-to-device communication Intelligent reflecting surface (IRS) Interference channels interference management MISO reconfigurable intelligent surface (RIS) Servers Transmitters Upper bound Wireless networks Information Theory
This paper studies cache-aided wireless networks in the presence of active intelligent reflecting surfaces (IRSs) from an information-theoretic perspective. Specifically, we investigate interference management in a cache-aided wireless network assisted by an active IRS to enhance the achievable degrees of freedom (DoF). To this end, we jointly design the content placement, delivery phase, and IRS coefficients, and propose a one-shot achievability scheme. Our scheme exploits transmitters' cooperation, cache contents, interference alignment, and IRS capabilities, based on the network parameters. We derive the achievable one-shot sum-DoF for different cache sizes, network configurations, and numbers of IRS elements, followed by an upper bound. Our results highlight the potential of deploying an IRS in cache-aided wireless communication systems. In particular, they underscore the enhancement of achievable DoF for various parameter regimes, especially when cache sizes are inadequate. Notably, we show that access to an IRS with a sufficient number of elements enables the achievement of the maximum possible DoF for various parameter regimes of interest. Index Terms—Intelligent reflecting surface (IRS), reconfig-urable intelligent surface (RIS), coded caching, degrees of freedom (DoF), interference management.
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