Prerequisites & Notation

Before You Begin

This chapter builds on relay channel fundamentals, multiple-access capacity, and Gaussian channel theory. Ensure you are comfortable with the following before proceeding.

  • Relay channel models: decode-and-forward and compress-and-forward(Review ch22)

    Self-check: Can you state the DF and CF achievable rates for the relay channel?

  • Cut-set bound for relay networks(Review ch22)

    Self-check: Can you write the cut-set bound for a two-relay diamond network?

  • Multiple-access channel capacity region(Review ch14)

    Self-check: Can you sketch the MAC capacity region for two users and identify the corner points?

  • Gaussian channel capacity and water-filling(Review ch10)

    Self-check: Can you derive the water-filling power allocation for parallel Gaussian channels?

  • Wyner-Ziv source coding with side information(Review ch07)

    Self-check: Can you state the Wyner-Ziv rate-distortion function?

  • MIMO channel model and capacity

    Self-check: Can you write the MIMO capacity C=log⁑det⁑(I+SNR HHH)C = \log\det(\mathbf{I} + \text{SNR}\,\mathbf{H}\mathbf{H}^{H}) and explain the role of each term?

Notation for This Chapter

Symbols introduced in this chapter. See also the global notation table in the front matter.

SymbolMeaningIntroduced
KKNumber of cooperating users or access pointss01
Xk,YkX_k, Y_kTransmitted and received signals at user/AP kks01
dβˆ—(r)d^*(r)Optimal diversity-multiplexing tradeoff functions01
CfhC_{\text{fh}}Fronthaul capacity (bits per channel use)s02
Y^k\hat{Y}_kQuantized observation at relay/AP kks02
Hk\mathbf{H}_{k}Channel vector from user to AP kks02
LLNumber of access points in cell-free architectures03
gkl\mathbf{g}_{kl}Channel coefficient from user kk to AP lls03
Ξ²kl\beta_{kl}Large-scale fading coefficient from user kk to AP lls03
Ξ·kl\eta_{kl}Power control coefficient at AP ll for user kks03