MIMO WIRELESS COMMUNICATION SYSTEMS

21
MIMO WIRELESS COMMUNICATION SYSTEMS Bhaskar D. Rao University of California, San Diego La Jolla, CA 92093-0407

description

MIMO WIRELESS COMMUNICATION SYSTEMS. Bhaskar D. Rao University of California, San Diego La Jolla, CA 92093-0407. Textbooks. Introduction to Space-Time Wireless Communications, A. Paulraj, R. Nabar and D. Gore, Cambridge University Press - PowerPoint PPT Presentation

Transcript of MIMO WIRELESS COMMUNICATION SYSTEMS

Page 1: MIMO WIRELESS COMMUNICATION SYSTEMS

MIMO WIRELESS COMMUNICATION

SYSTEMS

Bhaskar D. Rao

University of California, San DiegoLa Jolla, CA 92093-0407

Page 2: MIMO WIRELESS COMMUNICATION SYSTEMS

Textbooks Introduction to Space-Time Wireless

Communications, A. Paulraj, R. Nabar and D. Gore, Cambridge University Press

Fundamentals of Wireless Communications, D. Tse and P. Vishwanath

Space-Time Block Coding for Wireless Communications, E. G. Larsson and P. Stoica

MIMO Wireless Communications, Edited by E. Biglieri, R. Calderbank ….

Page 3: MIMO WIRELESS COMMUNICATION SYSTEMS

Prerequistive Classes Digital Communication (ECE 258A,B) Channel Coding (ECE 259A,B) Information Theory (ECE 255A) Statistical Signal Processing (ECE

251A) Array Processing (ECE 251D) Estimation Theory (ECE 275A,B)

Page 4: MIMO WIRELESS COMMUNICATION SYSTEMS

Prerequisites

Page 5: MIMO WIRELESS COMMUNICATION SYSTEMS

Course Grading Homeworks 40%

Theory and Matlab Project 25%

Presentation on day of Finals Exam 35%

Page 6: MIMO WIRELESS COMMUNICATION SYSTEMS

Wireless Channel Characteristics Fading: Multiple Paths with different phases add

up at the receiver resulting in a random path gain ISI: Paths with different delays causing

intersymbol interference (Frequency Selective Channels)

CCI: Co-Channel users create interference Noise: Thermal noise from electronics Doppler: Channel varies over time (mobility) Bandwidth: Bandwidth limited and so data

rates can grow only as log(1 + SNR)

Page 7: MIMO WIRELESS COMMUNICATION SYSTEMS
Page 8: MIMO WIRELESS COMMUNICATION SYSTEMS

Space-Time Processing for Wireless Communications

Base station Base station

Mobile

Mobile

Mobile

Mobile

Mobile

Goal: Exploit the spatial dimension to improve capacity and

quality of network

Page 9: MIMO WIRELESS COMMUNICATION SYSTEMS

Variants of Multiple Antenna Systems

Page 10: MIMO WIRELESS COMMUNICATION SYSTEMS

Terminology

Page 11: MIMO WIRELESS COMMUNICATION SYSTEMS

Benefits of Space-Time Processing

Increased Capacity Improved Signal Quality Increased Coverage Lower Power Consumption Higher Data Rates

These requirements are often conflicting. Need balancing to maximize system performance

Page 12: MIMO WIRELESS COMMUNICATION SYSTEMS

Technical Rationale Spatial Diversity to Combat Fading Spatial Signature for Interference Suppr

ession Array Gain enables Lower Power Consu

mption Multiple Transmit Antennas provide

Transmit Diversity Capacity Improvements using Spatial M

ultiplexing

Page 13: MIMO WIRELESS COMMUNICATION SYSTEMS
Page 14: MIMO WIRELESS COMMUNICATION SYSTEMS
Page 15: MIMO WIRELESS COMMUNICATION SYSTEMS

Scenarios

Base Station or Mobile Receive versus Transmit Antennas MIMO systems Choice of Multiple Access Scheme

(CDMA or TDMA) Microcell versus Macrocell Mobility versus Fixed

Page 16: MIMO WIRELESS COMMUNICATION SYSTEMS
Page 17: MIMO WIRELESS COMMUNICATION SYSTEMS

Beamforming

Antenna Array

Interferer

Interferer

Interferer

DesiredUser

Page 18: MIMO WIRELESS COMMUNICATION SYSTEMS

Multi-Input Multi-Output System

Page 19: MIMO WIRELESS COMMUNICATION SYSTEMS

Capacity of MIMO systems

Page 20: MIMO WIRELESS COMMUNICATION SYSTEMS

Role of Diversity

Two Fading Channels combined to improve SNR: Diversity gain

Page 21: MIMO WIRELESS COMMUNICATION SYSTEMS

Spatial Diversity to Combat Fading