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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

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MIMO WIRELESS COMMUNICATION SYSTEMS

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  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

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