Summary: | 博士 === 國立交通大學 === 電信工程研究所 === 104 === The aim of this thesis is to investigate multiple input multiple output (MIMO)
techniques from the reception algorithms to the advanced spatial modulation (SM)
transmission schemes. In the reception algorithms, the proposed schemes are derived
based on the detection theory, i.e., maximum likelihood, linear minimum mean square
error, successive interference cancellation, combining with the statistical analysis, i.e.,
Bayesian linear regression and Bayesian model comparison, in order to deal with the
channel uncertainty, i.e., fading, correlations, thermal noise, multiple interference, and
the impact of estimation errors. In the transmission schemes, the signal constellations
are targeted to find a good trade-off between the transmit energy and the minimum
Euclidean distance in the signal space. The proposed schemes, denoted by enhanced
SM, introduce novel modulation/antenna combinations and use them as the
information bits for transmission. The number of those combinations is the double or
the quadruple of the number of active antenna indices (or index combinations) in
conventional SM systems, and this increases the number of bits transmitted per
channel use by one or two. The results of simulations show that good system
performance can be achieved with the advanced MIMO techniques. Several examples
are presented in this thesis to provide insights for the MIMO system designs.
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