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EECS 865: Wireless Communication Systems

Spring 2017


Announcements

  • [01/01] Course webpage sets up!

Brief Course Description

The past decade has seen a surge of research activities in the field of wireless communications. This is due to a confluence of factors: the explosive growth in demand for wireless connectivity, dramatic improvement in hardware implementation technology, as well as the success of 2G/3G/4G digital wireless standards. Emerging from this research thrust are new points of views on how to communicate effectively over wireless channels. New ideas such as cooperative and MIMO (multiple antenna) communication are already having an impact on the design of next-generation wireless systems. The goal of this course is to study both the fundamentals of wireless communications as well as introduce the new ideas at a level accessible to the graduate student with a basic background in probability and random processes. Examples from existing standards will be used throughout the course.

Prerequisite

EECS 861 or relevant courses on random process.

Time and Location

Class: TR 11:00 - 12:15 PM, LEA 1131 - Lawrence, KS
Office hours: T 10:00 - 11:00 PM or by appointments, 2028 Eaton Hall
Instructor: Dr. Lingjia Liu (lingjialiu at ku dot edu)

Course Schedule

Detailed course schedule can be found HERE.

Course Outline

  1. The Wireless Channel. Physical modeling of multipath wireless channels. Key parameters: delay spread, coherence bandwidth, coherence time, Doppler spread. Discrete-time complex baseband equivalent representation. Statistical fading models.
  2. Point-to-Point Channels: Detection, Diversity and Channel Uncertainty. Coherent and noncoherent detection in narrowband fading channels. Diversity techniques. Time diversity: interleaving, rotation codes. Frequency diversity: Rake receiver in CDMA systems, frequency hopping in OFDM systems (802.11a example). Macrodiversity: soft handoff in CDMA systems. Space diversity: transmit and receive diversity, space-time codes. Noncoherent and pilot-aided coherent combining. Impact of channel uncertainty.
  3. Cellular Systems: Multiple Access and Interference Management. Multiple access in second-generation wireless systems. Frequency reuse, sectorization. Basic principles of CDMA spread spectrum communication. Power control. Universal frequency reuse. Out-of-cell interference averaging. Uplink vs downlink. CDMA capacity analysis. CDMA vs OFDM.
  4. Information Theory of Fading Channels. Introduction to basic information theory. Capacity of the Gaussian channel and parallel Gaussian channels. Fading channel as parallel Gaussian channels over time and frequency. Notions of capacity for fading channels. Key performance measures of fading channels: diversity, number of degree of freedom, received SNR. High versus low SNR regimes.
  5. MIMO Communication. Multi-input multi-output channels. Capacity via singular value decomposition. MIMO channel modeling. Spatial multiplexing architectures: linear and nonlinear receiver structures.Diversity-multiplexing tradeoff. Multiuser systems. Downlink and uplink linear beamforming. Successive cancellation and Costa precoding. Interference suppression using multiple antennas.
  6. Special Topics: (if time permits)
    • 4G Standards: 3GPP LTE/LTE-Advanced and IEEE 802.16m (Advanced Mobile WiMax) Systems
    • Stochastic Geometry Analysis for Wireless Networks
    • Big Data over Wireless Networks
    • Demo and Prototype using USRPs

Textbooks

  • T&V: Fundamentals of Wireless Communication by D. Tse and P. Viswanath, Cambridge
  • G: Wireless Communications by A. Goldsmith, Cambridge
  • M: Wireless Communications by A. Molisch, Wiley-IEEE
  • R: Wireless Communications: Principles and Practice (2nd Edition) by T. Rappaport, Prentice Hall

Additional references

  • Elements of Information Theory by T. Cover and J. Thomas, Wiley
  • LTE for 4G Mobile Broadband: Air Interface Technologies and Performance by F. Khan, Cambridge
  • Stochastic Geometry for Wireless Networks by M. Haenggi, Cambridge
  • Big Data over Networks by S. Cui, A. O. Hero III, Z.-Q. Luo, and J. M. F. Moura, Cambridge

Grade Components

  • 15% Homework Assignments (no collaboration)
  • 40% Midterm Exam
  • 40% Final Exam/Project
  • 5% Quizzes & Participation

Academic Misconduct

Instances of cheating [receiving/giving help] may result in expulsion from class and referral to the Dean. Cheating includes, but is not limited to: copying another exam paper, copying another homework paper, copying from solution manuals or previous students' homework papers, having another student do your work, etc.

kucourses/eecs865/s17.txt · Last modified: 2017/09/06 21:53 by lingjialiu