1 / 21

MIMO WIRELESS COMMUNICATION SYSTEMS

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

rafael-reed
Download Presentation

MIMO WIRELESS COMMUNICATION SYSTEMS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

  2. 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 ….

  3. 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)

  4. Prerequisites

  5. Course Grading • Homeworks 40% • Theory and Matlab • Project 25% • Presentation on day of Finals • Exam 35%

  6. 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)

  7. Mobile Mobile Base station Base station Mobile Mobile Mobile Space-Time Processing for Wireless Communications Goal: Exploit the spatial dimension to improve capacity and quality of network

  8. Variants of Multiple Antenna Systems

  9. Terminology

  10. 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

  11. Technical Rationale • Spatial Diversity to Combat Fading • Spatial Signature for Interference Suppression • Array Gain enables Lower Power Consumption • Multiple Transmit Antennas provide Transmit Diversity • Capacity Improvements using Spatial Multiplexing

  12. 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

  13. Beamforming

  14. Multi-Input Multi-Output System

  15. Capacity of MIMO systems

  16. Role of Diversity Two Fading Channels combined to improve SNR: Diversity gain

  17. Spatial Diversity to Combat Fading

More Related