Chapter Summary

Chapter 15 Summary

Key Points

  • 1.

    PIR with side info (§15.1): Wei-Banawan-Ulukus 2019 settled the capacity for MM uncoded prefetched files: CPIR-SI(N,K,M)=CPIR(N,KM)C_{\text{PIR-SI}}(N, K, M) = C_{\text{PIR}}(N, K - M) — Sun-Jafar's formula with KK replaced by the effective KMK - M.

  • 2.

    Cache-aided PIR (§15.2): for uniformly-random uncoded prefetching with cache fraction γ\gamma, capacity is the binomial mixture i(K1i)γi(1γ)K1iCPIR(N,Ki)\sum_i \binom{K-1}{i}\gamma^i(1-\gamma)^{K-1-i} C_{\text{PIR}}(N, K-i). Monotone in γ\gamma, reaches 11 at γ=1\gamma = 1.

  • 3.

    CommIT contribution (§15.3 — Wan-Tuninetti-Caire 2021): optimal demand-private cached delivery rate is R(γ)=U(1γ)R^*(\gamma) = U(1-\gamma) — matching the trivial uncoded scheme. Demand privacy eliminates the MAN coded-multicast gain. Sharp negative result connecting PIR and coded caching.

  • 4.

    Public vs. private side info: same capacity for uniformly-random caches; non-uniform private caches may incur a (small, open) rate cost. Cache content automatically private if placed long ago.

  • 5.

    Open frontiers: joint extensions (coded + TT-colluding + side info, etc.), non-uniform demand distributions (Zipf), adaptive protocols, wireless PIR, quantum PIR. Several remain unsettled even pairwise.