Chapter Summary

Chapter Summary

Key Points

  • 1.

    The spectral efficiency of cell-free massive MIMO under imperfect CSI is governed by the coherent combining gain (βˆ‘lΞ³lk)2(\sum_l \gamma_{lk})^2 in the SINR numerator. This quadratic scaling in the number of contributing APs is the fundamental advantage over co-located and small-cell architectures, where each user benefits from at most one site.

  • 2.

    The use-and-then-forget (UatF) bound provides a clean, computable SE lower bound by treating the channel estimate as perfect for beamforming and accounting for estimation error as worst-case Gaussian noise. The hardening-based bound is tighter when channel hardening holds but requires statistical CSI at the receiver.

  • 3.

    Pilot contamination creates coherent interference that does not vanish as the number of APs grows. In cell-free systems, this is mitigated by geographic pilot assignment (co-pilot users are far apart) and MMSE combining that exploits spatial signature differences.

  • 4.

    Under max-min fair power control, cell-free massive MIMO achieves 5--10 times higher 95%-likely per-user rate than small cells with the same total antenna count. The improvement is concentrated at the cell edge, where distributed APs convert interference into signal.

  • 5.

    The 95%-likely per-user rate is the primary fairness metric. Max-min power control is solved via bisection over SOCPs. Proportional fairness provides a balanced alternative with higher sum-rate at the expense of slightly lower min-rate.

  • 6.

    Energy efficiency is quasi-concave in AP density: there exists an optimal Ξ»APβˆ—\lambda_{\text{AP}}^* that balances SE gains from macro-diversity against hardware power costs (PAP+PfhP_{\text{AP}} + P_{\text{fh}} per AP). Reducing per-AP hardware cost β€” through PoE, passive optics, and sleep modes β€” is the key enabler for dense cell-free deployment.

  • 7.

    Ultra-dense cell-free massive MIMO (500--2000 APs/km2^2) is a leading candidate for the 6G radio architecture. The CommIT contribution by Ngo, Caire, Ashikhmin, and Larsson provides a deployment roadmap including two-tier fronthaul, O-RAN integration, and traffic-adaptive AP activation.

Looking Ahead

This chapter completes Part III on cell-free and distributed MIMO. Part IV turns to the near-field frontier: when AP arrays become physically large (XL-MIMO) or operate at high frequencies (mmWave, sub-THz), users enter the near field where the planar wavefront assumption breaks down. Chapter 17 introduces near-field communications, Chapter 18 covers XL-MIMO channel estimation with visibility regions, and Chapters 19--21 address hardware constraints (low-resolution ADCs, hybrid beamforming, and RIS-aided architectures).