Prerequisites

Before You Begin

OFDM builds on linear algebra (Chapter 1), signals and systems including the DFT (Chapter 4), wireless channel modelling (Chapter 6), digital modulation (Chapter 8), detection and estimation (Chapter 9), and equalisation concepts (Chapter 11). The DFT-based transceiver architecture relies heavily on matrix representations and circular convolution, while channel estimation and adaptive modulation require estimation theory and fading channel models.

  • Discrete Fourier transform (DFT) and its properties(Review ch04)

    Self-check: Can you compute the NN-point DFT of a sequence x[n]x[n] and state the circular convolution theorem?

  • Linear time-invariant systems and convolution(Review ch04)

    Self-check: Can you compute the output of an LTI system with impulse response h[n]h[n] given an input x[n]x[n] via linear and circular convolution?

  • Matrix algebra and eigendecomposition(Review ch01)

    Self-check: Can you diagonalise a circulant matrix using the DFT matrix and explain why circulant matrices have DFT eigenvectors?

  • Multipath fading channel models(Review ch06)

    Self-check: Can you describe the tapped delay-line model for a frequency-selective channel and define coherence bandwidth BcB_c?

  • Digital modulation and constellation mapping(Review ch08)

    Self-check: Can you map a bit sequence to QAM symbols and compute the average symbol energy for 16-QAM?

  • Maximum-likelihood and MMSE estimation(Review ch09)

    Self-check: Can you derive the LS and MMSE estimators for a linear observation model y=Hx+n\mathbf{y} = \mathbf{H}\mathbf{x} + \mathbf{n}?

  • Equalisation and ISI mitigation(Review ch11)

    Self-check: Can you explain why a frequency-selective channel causes ISI and describe the ZF and MMSE equalisers?

Chapter 14 Notation

Key symbols introduced or heavily used in this chapter.

SymbolMeaningIntroduced
NNNumber of OFDM subcarrierss01
Ξ”f\Delta fSubcarrier spacing (Hz)s01
TsymT_{\text{sym}}OFDM symbol duration (useful part, excluding CP): Tsym=1/Ξ”fT_{\text{sym}} = 1/\Delta fs01
TcpT_{\text{cp}}Cyclic prefix durations02
TtotalT_{\text{total}}Total OFDM symbol duration: Ttotal=Tsym+TcpT_{\text{total}} = T_{\text{sym}} + T_{\text{cp}}s02
X[k]X[k]Frequency-domain data symbol on the kk-th subcarriers01
x[n]x[n]Time-domain OFDM sample (IDFT output)s02
H[k]H[k]Channel frequency response at the kk-th subcarriers01
h[l]h[l]Channel impulse response tap at delay lls02
LLNumber of channel taps (channel delay spread in samples)s02
NcpN_{\text{cp}}Cyclic prefix length in sampless02
F\mathbf{F}Normalised NΓ—NN \times N DFT matrix with [F]k,n=1Neβˆ’j2Ο€kn/N[\mathbf{F}]_{k,n} = \frac{1}{\sqrt{N}} e^{-j2\pi kn/N}s02
Ο΅\epsilonNormalised carrier frequency offset (CFO), Ο΅=Ξ”foffset/Ξ”f\epsilon = \Delta f_{\text{offset}} / \Delta fs05
PAPR\text{PAPR}Peak-to-average power ratio of the OFDM signals04
CCDF\text{CCDF}Complementary cumulative distribution function: Pr⁑(PAPR>γ)\Pr(\text{PAPR} > \gamma)s04