It has been said that multi-input multi-output (MIMO) wireless communications will bring about the next revolution in wireless communication technology. It has been approximately a decade since the early works from Bell Labs (Foschini and Gans) and Stanford University (Cioffi and Paulraj) showed the potential gains achievable by spatial-multiplexing in MIMO systems. Over this time a great deal of theoretical and simulation-based studies have quantified the benefits of MIMO-based wireless systems. The industry also has expanded the use of the term “MIMO” to describe systems employing more than one antenna at either the transmitter or the receiver. As such, spatial-multiplexing, space-time coding, smart antenna, and antenna diversity techniques have all been loosely categorized as MIMO systems.
Industry also has embraced MIMO techniques. The latest wireless LAN standardization activity will bring spatial-multiplexing MIMO to our homes and offices in the next few years. WiMax systems are standardizing around multi-antenna techniques, space-time block coding is part of the UMTS WCDMA standard for third-generation cellular, and diversity/smart antenna techniques have been used in commercial systems for quite some time now.
Intended for designers and managers who have a need to understand and implement various aspects of MIMO-based systems, this course provides participants with a fundamental understanding of how the various MIMO schemes work and how they can be used to improve the quality, range, power consumption, and throughput of wireless systems. Leveraging both analytical and intuitive approaches, the course offers insights into how and why the improvements can be achieved. A case study of an 802.11n MIMO-based design also is covered.
The objective of this course is to provide participants with a discussion of key issues involved in MIMO-based wireless data communications, and is meant to serve as a first step for individuals and groups looking to undertake the development of MIMO-based systems. It exposes participants to sufficient detail and background information, and develops a foundation upon which the required expertise could be built.
It is recommended that participants have a basic understanding (undergraduate level) of concepts in digital communications and signal processing.
Lecture notes are distributed on the first day of the course. These notes are for participants only and are not for sale.
Coordinator and Lecturer
Babak Daneshrad, PhD, Associate Professor, Department of Electrical Engineering, Henry Samueli School of Engineering and Applied Science, UCLA. Professor Daneshrad joined UCLA in September 1996. His research is in the areas of wireless communication system design, experimental wireless communications, and VLSI for communications. Over the past five years, he has concentrated primarily on MIMO OFDM systems for indoor/outdoor wireless communications, and has built one of the first MIMO OFDM experimental systems achieving upwards of 160 Mbps in laboratory settings.
In 2001, Professor Babak founded Innovics Wireless, a company focused on developing mobile terminal antenna diversity solutions for the cellular industry. From 1993 to 1996 he was a member of technical staff with the Wireless Communications Systems Research Department of AT&T Bell Laboratories, where he was involved in the design and implementation of systems for high-speed wireless packet communications. He also has served as a consultant with a number of companies focused on digital VLSI ASIC design and communication system design.
Space-Time Wireless Propagation
- The wireless channel
- The channel as a space-time random variable
- Space-time channel model
- Statistical properties of the space-time channel
- “Quality” of the MIMO channel
- Capacity of MIMO and SISO wireless channels
- Measured space-time channels
- The IEEE 802.11n channel model
- Diversity defined
- Receive diversity combining techniques
- Impact of RX diversity on UMTS-WCDMA system performance
Spatial Diversity (continued)
- Transmit diversity and space-time block codes
- Combined space and path diversity
- Spatial multiplexing
- Spatial multiplexing with full or partial CSI at TX
Overview of 802.11n PHY
- OFDM basics
- Packet structure
- Modulation and coding schemes
- Multi-antenna modes
- A strawman receiver
- Testbed overview
- Packet structure and receiver algorithms
- Field trail results
For more information contact the Short Course Program Office:
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