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UCSD ECE287AModern Wireless Communications

Lecture 1

Course Overview

Paolo Minero([email protected])

Jan. 7, 2014

ECE287A Modern Wireless Communications: Lecture 1

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Outline

Course Information

Intro to Modern Wireless Communication Systems

Main Topics and Theme of This Course

Reference Transmitter and Receiver

Main Points

ECE287A Modern Wireless Communications: Lecture 1 1

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Course Information- Basics

Instructor: Paolo Minero

E-mail: [email protected] Office: TBA Office hours: On Thursdays after class or by appointment

Class homepage

TBA

Prerequisites

ECE258A/B Digital Communications or equivalents

Related Courses of Interest ECE254: Detection Theory ECE255A, ECE287A/B: Information Theory, Network Information Theory ECE259A/B/C: Coding


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Course Information- Supplementary Text and References

Course slides based on Dr Jungwon Lees course slides from last year

References

John Cioffis course notes at http://www.stanford.edu/group/cioffi/

Chapters 13 for review of basic digital communications Chapter 4 for OFDM

Barry, Lee, and Messerschmitt, Digital Communication, 3rd Ed., 2003. Some parts of Chapter 10 are relevant to MIMO Detection in this course.

Tse and Vishwanath, Fundamentals of Wireless Communication Chapters 2 and 3 are relevant to channel modeling and space-time coding, Chapter 8 and 9 are relevant to MIMO Detection and MIMO capacity. Appendix A contains a useful summary on detection and estimation in

AWGN. Rappaport, Wireless Communications: Principles and Practice Classic book on wireless communications. Chapters 3 and 4 are relevant to wireless channel modeling.


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Course Information- Course Requirements

Grading Homework: 30% Midterm: 30% Final: 40%

Homework

Most of homework can be done with MATLAB. For MATLAB assignment, submit the MATLAB code as well.

Midterm & Final Exams

Take-home and final exams with MATLAB. Take-home exam on Thursday

Feb 13 (tentative)


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Course Information- A Little More About the Instructor

UCSD graduate in 2010

Assistant Professor at the University of Notre Dame (currently on leave)

Research in information theory, wireless networks, and control

Taught undergraduate electric circuits class Taught information theory and network information theory.

Experiences in

LTE and LTE-Advanced at Qualcomm Inc.


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Modern Wireless Communication Systems

Typical communication chips in cellular phones, tablets, and other consumergadgets

Cellular modem WiFi

Bluetooth GPS Near-Field Communication (NFC), Digital Video Broadcasting (DVB), FM

radio, etc.

Two widespread wireless communication systems: Cellular and WiFi

Cellular Phenomenal success with almost 7 billion users presently

Approximately 1.7 billion new handsets sold in 2012 WiFi Widely used in laptops, tablets, cellular phones, etc. Approximately 1.5 billion new units sold in 2012


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Main Topics and Theme of This Course

Main topics Orthogonal Frequency Division Multiplexing (OFDM) Multi-Input Multi-Output (MIMO)

Why OFDM and MIMO?

Widely used technologies underlying the latest Cellular and WiFi OFDM and MIMO with channel coding are effective in handling fading and

interference. Central issues of wireless communication: fadingand interference. Noise has been essentially overcome with capacity achieving codes such as

LDPC and turbo codes.

Main theme: How to deal with fadingandinterferenceat the transmitterandat the receiver usingOFDM and MIMO?


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Goals of This Course

This course will explain

What OFDM and MIMO are. What problems exist in OFDM and MIMO and how to solve the problems. What specific techniques are actually used in practice.

More importantly, this course will make you think harder to answer the followingquestions.

Why are OFDM and MIMO so widely used?

Are the problems that we examine important? Why? Are we wasting timetrying to solve unrealistic problems? Why are some techniques actually used in practice? What are theoretical

justifications? What are the appropriate performance metrics to compare different

techniques? Why do we choose different performance metrics in differentsituations?

What assumptions should we make to formulate a problem? Are theassumptions realistic?


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Preview: Handling Fading

Multi-antenna-based techniques

Fading Rx Tx TxTypes Techniques Techniques Techniques

(CSIT) (No CSIT)

All fading Receive Transmit Tx antennaantenna beamforming diversity withdiversity space-time coding

Other techniques

Fading Rx Tx TxTypes Techniques Techniques Techniques

(CSIT) (No CSIT)

Frequency-selective OFDM Frequency diversityfading with AMC with OFDM and codingover frequency

Fast fading AMC over time Time diversitywith coding


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Preview: Interference Management

Interference Management TechniquesInterference Rx Tx Tx

Types Techniques Techniques Techniques(CSIT) (No CSIT)

Inter-symbol Equalizer, Precodinginterference ML detector (Tomlinson- OFDM

(Viterbi decoder) Harashima),OFDM

Inter-stream MIMO equalizer,interference MIMO ML detector, MIMO precodingMIMO ML decoder

Inter-user Successive Dirty paperinterference interference coding,

cancellation, Han-KobayashiJoint decoding scheme


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Generic Digital Communication System

][ nb

)(tx][nx][nb

][ny )(ty


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Reference Transmitter in This Course


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Reference Receiver in This Course


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Reference Transmitter and Receiver

Some notable characteristics of reference transmitter and receiver

Separate source/channel coding Bit Interleaved Coded Modulation (BICM) Soft-decision detection (demodulation)

Possibly iterative MIMO soft-decision detection and decoding

Reference transmitter and receiver is

Much more concrete than the generic digital communication block diagram.

General enough to reflect many modern wireless systems such as WiFi,WiMAX, LTE, and LTE-A.


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Course Outline

Lecture No. Topics

1 Course Overview2 Wireless Channel

3 Basic Multicarrier System

4 Discrete-Time Channel Partitioning

5 Water-Filling for Parallel Channels

6 Discrete Bit Loading and Coding for OFDM

7 Fading and Uncoded Symbol Error

8 Time and Frequency Diversity

9 Space-Time Coding

10&11 Capacity of Fading Channels12 Adaptive Transmission with CSIT

13 MIMO Hard-Decision Detectors: Linear Detectors

14 MIMO Hard-Decision Detectors: Nonlinear Detector

15 MIMO Soft-Decision Detectors: Linear Detectors

16 MIMO Soft-Decision Detectors: Nonlinear Detector17&18 MIMO Capacity

19 MIMO Transmission Schemes

20 Course Summary


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Main Points

Fading and interference are two central issues of wireless communication.

Modern wireless communication systems employ OFDM and MIMO along withchannel coding to handle fading and interference.

Channel coding: Enables time, frequency, or spatial diversity. OFDM: Removes inter-symbol-interference in the multipath channel. MIMO: Achieves spatial diversity or enables spatial multiplexing.

In this course, we will learn how to deal with fading and interference usingOFDM and MIMO in more detail.

Receiver techniques Transmitter techniques without CSIT

Transmitter techniques with CSIT


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