Department of Electrical and Computer Engineering
University of Toronto
Special Topics in Communications:
Thursday 9:30am - 12noon
lecture: January 16
course covers the fundamental limits of communication and the techniques to
achieve these limits when multiple transmitters and receivers interact in a
shared communication medium. We aim to provide a comprehensive coverage of
known results and main techniques in network information theory. We pay
particular attention to optimization techniques in the context of multiuser
communication systems. Course topics include:
- Review of classical channel
capacity and rate-distortion theorems and the asymptotic equipartition theorem (AEP).
- Gaussian channels with intersymbol interference. Generalized
decision-feedback equalization. Orthogonal frequency-division multiplex.
- Fading channel; Capacity
and channel state information; Adaptive modulation. MIMO channel.
- Coded modulation for the
- Multiple-access channel.
- Channel with side
information. Writing-on-dirty-paper channel. Binning.
- Degraded and non-degraded
broadcast channels. Marton region.
Uplink-downlink duality. Gaussian vector broadcast channel capacity.
- Interference channel. Han-Kabayashi region. Capacity of two-user Gaussian
interference channel within 1/2 bit.
- Relay channel. Cover-El Gamal relay strategies. Capacity of multicast relay
network within a constant gap.
- Rate-distortion problem. Slepian-Wolf theorem. Wyner-Ziv
theorem. CEO problem.
course is of interests to Ph.D. students in the communications group.
Pre-requisite: A first course in information theory: ECE1502 or
Grades: Exam (50%), Project (50%).
El Gamal and Young-Han Kim: Network Information Theory, Cambridge, 2011.
M. Cover and Joy A. Thomas, Elements of Information Theory, 2nd
edition. John Wiley, 2006.
Last Updated: 1/15/14