Channel state quantization in MIMO broadcast systems : architectures and codes

It is now well understood that the use of a multiple-element antenna array at the transmitter can, in principle, greatly increase the capacity of wireless systems. However, little is known about the performance characteristics of such wireless systems in a network setting, or about how to optimize the design of such systems, especially when complexity is taken into account as a practical constraint. This thesis studies the problem of multi-user multiple-antenna broadcast system design with an emphasis on the role that channel feedback plays in a network setting. We develop new design principles for channel feedback design in such systems and show that the system designer is afforded extra degrees of freedom in the choice of the channel quantizer due to the multi-user diversity of the system. As such, the system designer may use the extra degrees of freedom to design structured quantizers that aid in user selection and allow the system to adapt to heterogeneous user populations with different fading characteristics. We construct an adaptive quantization framework which, when paired with low-complexity graph algorithms, enables efficient and robust user scheduling for multi-user multiple-antenna broadcast systems.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2010

Author dc:creator

• Swannack, Charles (Charles Henry)

Advisor dc:contributor.advisor

• Gregory W. Wornell.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/60174

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/60174