Prerequisites

Before You Begin

This is a capstone chapter that draws on concepts from across the entire textbook. Rather than requiring mastery of every topic, it asks you to recognize and navigate the building blocks that appear in typical research papers. The following are the most frequently referenced prerequisites.

  • AWGN channel model, SNR definition, and BER analysis(Review ch09)

    Self-check: Can you write the received signal model y=x+ny = x + n and compute the BER of BPSK in AWGN as Q(2Eb/N0)Q(\sqrt{2E_b/N_0})?

  • Flat and frequency-selective fading channel models (Rayleigh, Rician)(Review ch11)

    Self-check: Can you explain why Rayleigh fading arises and state the PDF of the instantaneous SNR?

  • OFDM system model and cyclic prefix(Review ch15)

    Self-check: Can you describe how OFDM converts a frequency-selective channel into parallel flat-fading sub-channels?

  • MIMO signal model, spatial multiplexing, and diversity(Review ch17)

    Self-check: Can you write y=Hx+n\mathbf{y} = \mathbf{H}\mathbf{x} + \mathbf{n} and explain the roles of precoding and combining?

  • Capacity, mutual information, and Shannon limits(Review ch04)

    Self-check: Can you state the AWGN channel capacity and explain what it means operationally?

  • Beamforming, MRT, ZF, and MMSE precoding(Review ch18)

    Self-check: Can you describe when ZF outperforms MRT and vice versa?

  • Monte Carlo basics: law of large numbers, CLT(Review ch02)

    Self-check: Can you explain why averaging over NN i.i.d. samples reduces the standard error by 1/N1/\sqrt{N}?

Notation for This Chapter

Symbols and abbreviations used frequently in this chapter. See also the NGlobal Notation Table master table.

SymbolMeaningIntroduced
NMCN_{\text{MC}}Number of Monte Carlo trials (channel realizations)s02
P^e\hat{P}_eEstimated bit/block error rate from simulations02
CICIConfidence interval (typically 95%)s02
Eb/N0E_b/N_0Energy per bit to noise spectral density ratios02
MRTMRTMaximum ratio transmission (matched-filter precoding)s03
ZFZFZero-forcing precoding/detections03
MMSEMMSEMinimum mean-square error precoding/detections03