Part 8: Advanced Topics

Chapter 28: Reconfigurable Intelligent Surfaces

Advanced~110 min

Learning Objectives

  • Describe the RIS signal model including the cascaded BS-RIS-user channel, diagonal phase-shift matrix, and the relationship between RIS reflection coefficients and the received signal
  • Analyse channel estimation challenges for passive RIS elements and describe structured estimation strategies based on element grouping, codebook design, and sparsity exploitation
  • Formulate the joint active-passive beamforming optimisation problem and derive alternating optimisation, semidefinite relaxation (SDR), and manifold optimisation solution approaches
  • Prove the N-squared SNR scaling law for RIS with N elements under optimal phase alignment and compare with N-scaling for relays and massive MIMO
  • Evaluate practical RIS limitations including phase quantisation loss, wideband frequency selectivity, hardware imperfections, and the active-vs-passive RIS trade-off
  • Compare RIS deployment against competing technologies (relays, massive MIMO, small cells) and identify scenarios where RIS provides the most benefit

Sections

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