Chapter Summary

Chapter Summary

Key Points

  • 1.

    Active RIS trades amplifier noise for gain. Each element has a low-power amplifier with gain gngmax|g_n| \leq g_{\max}. The passive unit-modulus constraint relaxes to ψngmax|\psi_n| \leq g_{\max}. The reflected signal is boosted by gng_n, and a new noise term σRIS2gn2\sigma^2_{\text{RIS}} |g_n|^2 appears per element.

  • 2.

    The passive-active crossover distance is dλN/NFd^\star \sim \lambda\sqrt{N/\text{NF}}. Below dd^\star passive wins (product path loss is mild enough); above it active wins (passive's d2d2d^2 d^2 ceiling is broken by amplification). For mmWave with N=256N = 256 and NF = 5 dB, d0.1md^\star \sim 0.1\,\text{m} — meaning active RIS is essentially always needed at mmWave.

  • 3.

    Active RIS is algorithmically easier than passive. The feasible set {ψngmax}\{|\psi_n| \leq g_{\max}\} is convex; combined with the convex total-power constraint, the passive subproblem has a convex feasible set. WMMSE + convex solver (SOCP or gradient projection) gives global inner solutions. Compared with the NP-hard unit-modulus passive QCQP, this is a significant simplification.

  • 4.

    Active RIS beats AF relay by 2N2N in SNR. Coherent combining across NN amplifiers (factor NN) plus full-duplex operation (factor 2) gives 2N2N SNR advantage over an AF relay with the same total amplifier power. At N=256N = 256: 2727 dB. Active RIS is the cleaner architectural choice for link-budget-limited deployments than a comparable AF relay.

  • 5.

    Practical active RIS consumes 1\sim 1-55 W DC. Each amplifier needs bias power (10\sim 10 mW). Total for a 256-element panel: several watts — small compared to a full active array (100 W) but significant compared to passive (10\sim 10 mW). DC supply, thermal management, and stability (amplifier oscillation avoidance) are the real-world engineering concerns.

Looking Ahead

Chapter 9 introduced the natural "gain-added" generalization of passive RIS. Chapter 10 explores a different architectural extension: the STAR-RIS (simultaneous transmitting and reflecting), which lets the RIS pass signals through as well as reflect them. This unlocks full-space coverage (beyond the reflecting hemisphere) at the cost of energy splitting between transmission and reflection. Chapters 11–12 continue with array-fed RIS and multi-RIS deployments, each adding a different axis to the RIS design space.