Chapter Summary

Chapter Summary

Key Points

  • 1.

    The cache-aided MIMO broadcast channel replaces the error-free shared link of Chapters 1–4 with a noisy Gaussian BC, one LL-antenna transmitter to KK single-antenna users, each with cache MM. The natural figure of merit is degrees of freedom (high-SNR slope).

  • 2.

    The headline result (Lampiris-Caire 2017): DoF=min⁑(t+L,K)\mathrm{DoF} = \min(t + L, K) where t=KM/Nt = KM/N is the caching gain and LL is the antenna count. Matches the information-theoretic upper bound for this class under perfect CSIT.

  • 3.

    Gains are ADDITIVE, not multiplicative. Coded caching contributes tt extra DoF on top of the classical MIMO BC DoF of LL. The two mechanisms β€” XOR cancellation via cached side info and zero-forcing beamforming β€” operate at different layers of the signal; they do not compound into (t+1)L(t+1)L.

  • 4.

    The Lampiris-Caire scheme retains the MAN placement unchanged, but replaces delivery groups of size (t+1)(t+1) with groups of size (t+L)(t+L). Each group uses LL linearly independent beams, each carrying a coded-XOR message that simultaneously benefits t+1t+1 users of the group via cached side information, and is nulled at the remaining Lβˆ’1L-1 users via ZF.

  • 5.

    Finite-SNR behavior. Sum-rate scales as (t+L)log⁑2(1+βρ)(t+L)\log_2(1 + \beta\rho), with β<1\beta < 1 capturing the interference-leakage penalty from imperfect ZF. The DoF advantage translates into finite-SNR rate gains at all operationally relevant SNRs.

  • 6.

    CSIT is the practical bottleneck. Perfect CSIT yields DoF=t+L\mathrm{DoF} = t+L; no CSIT degrades to DoF=t+1\mathrm{DoF} = t+1 (cache gain survives; spatial gain lost). Coded caching partially substitutes for CSIT β€” a design lever for CSIT-expensive regimes like mmWave and FDD.

  • 7.

    Subpacketization grows to (Kt+Lβˆ’1)\binom{K}{t+L-1}. The multi-antenna scheme inherits MAN's subpacketization problem and adds a factor of LL. Polynomial-subpacketization multi-antenna schemes are an active research frontier.

Looking Ahead

Chapter 6 refines the channel model from the symmetric MIMO BC to the degraded broadcast channel β€” users with heterogeneous channel qualities. The worst-user bottleneck imposes new design tradeoffs, and the mixed cacheable/uncacheable traffic problem (Joudeh-Lampiris-Elia-Caire 2019) yields the GDoF-optimal separation scheme. Chapter 7 then considers fading channels with time-varying CSIT.