In wireless systems, radio signals are corrupted due to fading,
interference and noise. In order to handle the effects of fading and
interference, modern systems employ various techniques including
multi-antenna transceivers. Initially, multi-antenna systems were
proposed only for point-point communication. More recently,
multi-antenna transceivers have been proposed for multiuser (MU)
wireless systems. There are various topologies in which
multi-antenna transceivers can be used in a multiuser wireless
environment. Among them, macrodiversity is an important concept
driven by many scenarios, including base station cooperation,
coordinated multipoint (CoMP) transmission and network multiple
input multiple output (MIMO).
A communication system where antenna
elements at both source and receiver are widely (geographically)
separated is described as a macrodiversity communication system. For
these macrodiversity systems, every link may have a different
average signal to noise ratio (SNR) since the sources and the
receive antennas are all in different locations. This variation in
average SNR across the links makes the performance analysis of such
systems more complex. For this reason, most of the results currently
available are based on simulation. However, the value of analytical
results can be immense for efficient computation and optimized
operation. Therefore, in this thesis we present a comprehensive, and
rigorous analytical investigation of various aspects of
multiuser macrodiversity MIMO systems.
Two main aspects of macrodiversity MIMO systems are considered: the
multiple access channel (MAC) and uplink user scheduling. In the
earlier chapters of the thesis, we investigate the performance of
uplink transmission employing multi-antenna transmitters and
receivers. We analyze the signal-to-interference plus noise ratio
(SINR) performance, symbol error rate (SER) and ergodic sum capacity
etc. In a later chapter, we consider multiuser scheduling issues in
macrodiversity multiuser MIMO systems. The primary emphasis is on
the MIMO-MAC where we present some systematic performance metrics
and approaches to multiuser scheduling which only require the long
term channel state information (CSI). These methods provide a double
advantage over scheduling using instantaneous CSI. First, the
computational burden is lower and secondly, the delay between
obtaining and using channel estimation is reduced.
| Identifer | oai:union.ndltd.org:canterbury.ac.nz/oai:ir.canterbury.ac.nz:10092/7266 |
| Date | January 2012 |
| Creators | Basnayaka, Dushyantha |
| Publisher | University of Canterbury. Electrical and Computer Engineering |
| Source Sets | University of Canterbury |
| Language | English |
| Detected Language | English |
| Type | Electronic thesis or dissertation, Text |
| Rights | Copyright Dushyantha Basnayaka, http://library.canterbury.ac.nz/thesis/etheses_copyright.shtml |
| Relation | NZCU |
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