Part 4: RIS for ISAC and Localization

Chapter 13: RIS-Aided Integrated Sensing and Communications

Research~230 min

Learning Objectives

  • Formulate the joint ISAC signal model with a RIS in the sensing path
  • Derive the radar-communication tradeoff via the Pareto boundary
  • Solve the joint RIS-ISAC beamforming problem (CommIT framework)
  • Quantify the sensing-SINR tradeoff as N varies
  • Identify deployments where RIS-ISAC offers the largest dual-function advantage

Sections

Prerequisites & Notation
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ISAC Fundamentals and the RIS Role
Joint Sensing-Communication Signal Model
The Sensing-Communication Tradeoff
CommIT RIS-ISAC Beamforming Framework
Chapter Summary
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Exercises
References & Further Reading
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Prerequisites

Chapters 5-7: RIS optimization frameworkChapter 9: active RIS (for high-accuracy sensing)Radar fundamentals: matched filter, CFAR (RFI Ch. 9, Telecom Ch. 29)Joint sensing-communications (ISAC) basics (Telecom Ch. 29)Beamforming for dual-function radar-communication

💬 Discussion

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