Semester Offering: InterSem

To provide the students with a comprehensive understanding of multiuser detection techniques used in wireless communications.


Multiaccess Communications, Code-Division Multiple- Access Channel, Single User Matched Filter, Optimum Multiuser Detection, Decorrelating Detector, Nondecorrelating Linear Multiuser Detection, Decision Driven Multiuser Detectors, Multiuser Information Theory.


Consent of the instructor.


I  Multiaccess communications

  1. The Multiaccess Channel
  2. FDMA and TDMA
  3. Random Multiaccess
  4. CDMA

II  Code-Division Multiple- Access (CDMA) Channel

  1. Basic synchronous CDMA Model
  2. Basic Asynchronous CDMA Model
  3. Signature Waveforms
  4. Data Streams
  5. Antennas Arrays
  6. Discrete-Time Synchronous Models
  7. Discrete-Time Asynchronous Models

III  Single User Matched Filter

  1. Hypothesis Testing
  2. Optimal Receiver for Single-User Channel
  3. The Q-Function
  4. The Matched Filter in the CDMA Channel
  5. Asymptotic Multiuser Efficiency and Related Measures
  6. Coherent Single-User Matched Filter in Rayliegh Fading
  7. Differentially-Coherent Demodulation
  8. Noncoherent Demodulation

IV  Optimum Multiuser Detection

  1. Optimum Detector for Synchronous Channels
  2. Optimum Detector for Asynchronous Channels
  3. K-User Optimum Asysmptotic Efficiency and Near-Far Resistance
  4. Minimum Erro Probability in the Asynchronous Channel
  5. Performance Analysis in Rayleigh Fading
  6. Optimum Noncoherent Multiuser Detection

V  Decorrelating Detector

  1. The Decorrelating Detector in the Synchronous Channel
  2. The Decorrelating Detector in the Asynchronous Channel
  3. Truncated Window Decorrelating Detector
  4. Performance Analysis: Synchronous Case
  5. Performance Analysis: Asynchronous Case
  6. Coherent Decorrelator in the Presence of Fading
  7. Differentially-Coherent Decorrelation
  8. Decorrelation for Nonlinear Modulation

VI  Nondecorrelating Linear Multiuser Detection

  1. Optimum Linear Multiuser Detection
  2. Minimum Mean-Square Error (MMSE) Linear Multiuser Detection
  3. Performance of MMSE Linear Multiuser Detection
  4. Adaptive MMSE Linear Multiuser Detection
  5. Canonical Representation of Linear Multiuser Detectors
  6. Blind MMSE Multiuser Detection

VII  Decision Driven Multiuser Detectors

  1. Successive Cancellation
  2. Performance Analysis of Successive Cancellation
  3. Multistage Detection
  4. Continuous-Time Tentative Decisions
  5. Decision-Feedback Multiuser Detection

VIII  Multiuser Information Theory

  1. Review of Channel Capacity
  2. Outage Analysis of MIMO Channels
  3. Capacity of MIMO Channels
  4. Distributed Source Coding
  5. Distributed Video Coding


Lecture Notes and Selected Papers.


Verdu S. Multiuser Detection, Cambridge University Press, 1998
Stuber G.L. Principles of Mobile Communications, Springer, 2 nd Edition, 2000
Harry L. Van Trees Detection, Estimation, and Modulation Theory: Part I, John Wiley, 2001
Simon Haykin Adaptive Filter Theory, Prentice Hall, 2 nd Edition, 1991
Kay S.M. Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, 1993
Kay S.M. Fundamentals of Statistical Signal Processing: Detection Theory, Prentice Hall, 1998
Wozencraft and Jacobs Principles of Communication Engineering, Waveland Press, 1990
Proakis J.G. Digital Communications, McGraw-Hill, 3 rd Edition, 1995
Van Nee R., Prasad R. OFDM for Wireless Multimedia Communications, Artech-House, 2000
Cover T. and Joy Thomas A. Elements of Information Theory, John Wiley 1991
Gallagher r.G. Information Theory and Reliable Communications, John Wiley 1968
Andrew J. Viterbi, Jim K. Omura.: Principles of Digital Communication and Coding, McGraw-Hill, 1969
Andrew J. Viterbi. CDMA : Principles of Spread Spectrum Communication . Prentice Hall, 1995


IEEE Transactions on Communications/ Information Theory
IEEE Communications Letters
IEEE Transactions on Wireless Communications
IEEE Journal of Selected Areas in Communications
IEEE Transactions on Vehicular Technology (VT)
IEE Proceedings on Communications, IEE Electronics Letters


Assignments 10%
Mid Semester 25%
Final Exam 65%