Motivated by the demand of increasing data rate in wireless communication,
multiple-antenna communication is becoming a key technology in the next generation
wireless system. This dissertation considers three different aspects of multipleantenna
communication.
The first part is signal detection in the multiple-input multiple-output (MIMO)
communication. Some low complexity near optimal detectors are designed based on
an improved version of Bell Laboratories Layered Space-Time (BLAST) architecture
detection and an iterative space alternating generalized expectation-maximization
(SAGE) algorithm. The proposed algorithms can almost achieve the performance of
optimal maximum likelihood detection. Signal detections without channel knowledge
(noncoherent) and with co-channel interference are also investigated. Novel solutions
are proposed with near optimal performance.
Secondly, the error exponent of the distributed multiple-antenna communication
(relay) in the windband regime is computed. Optimal power allocation between the
source and relay node, and geometrical relay node placement are investigated based
on the error exponent analysis.
Lastly, the quality of service (QoS) of MIMO/single-input single- output(SISO)
communication is studied. The tradeoff of the end-to-end distortion and transmission
buffer delay is derived. Also, the SNR exponent of the distortion is computed for MIMO communication, which can provide some insights of the interplay among time
diversity, space diversity and the spatial multiplex gain.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/85827 |
| Date | 10 October 2008 |
| Creators | Li, Qiang |
| Contributors | Georghiades, Costas N. |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | electronic, born digital |
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