Type of Document Dissertation Author Bae, Kyung Kyoon URN etd-10072005-000051 Title Analytical Framework for the Performance Analysis of Multiple Antenna Systems Degree PhD Department Electrical and Computer Engineering Advisory Committee
Advisor Name Title Annamalai, Annamalai Jr. Committee Co-Chair Tranter, William H. Committee Co-Chair Gray, Festus Gail Committee Member Kohler, Werner E. Committee Member Reed, Jeffrey Hugh Committee Member Keywords
- Adaptive Array Processing
- Null Steering
Date of Defense 2005-09-09 Availability unrestricted AbstractThere has been great interest in antenna array processing (diversity, beamforming, null steering, and spatial multiplexing) to enhance the received signal quality and the capacity of
wireless communications systems. However, in order to properly exploit the characteristics of different array processing techniques, understanding trade-offs among different techniques and parametric investigation, which offers an insight as to what parameters determine system performance under different situations
is necessary. In this study, we present analytical framework which can facilitate the performance analysis of systems with antenna
Five original contributions to the performance analysis of antenna array processing are presented in this study. First, we present theoretical outage probability of a system equipped with an array which suppresses a few dominant interering signals in TDMA cellular networks when the fading statistics of interfering
signals are independent but non-identically distributed. Most of the related previous works assumed either independent and identically distributed fading statistics among cochannel
interferences (CCI) or Rayleigh fading when CCI signals are subject to i.n.d. fading statistics. Secondly, the performance of multi-branch predetection equal gain combiner for different
modulation techniques in equally correlated Nakagami-$m$ fading is presented through analytical analysis. Specifically, the
characteristic function (CHF) and the moment generating function (MGF) of EGC output with correlated inputs are derived and used to evaluate the average symbol error probability (ASEP) and the outage probability performance, respectively. Thirdly, we derived analytical expression which can be used to analyze the
performance of different types of diversity techniques in equally correlated Nakagami-m or Rice fading channels. Fourthly, asymptotic analysis on different types of diversity combiners in generalized fading channels is presented in a unifying way. Finally, we investigate and present the impact of transmit
diversity at handsets on the reverse link DS/CDMA systems in terms of capacity and coverage over generalized fading channels through analytical approaches. Then, we validate the analytical results with simulation results and investigate practical issues which are hard to capture through analytical analysis using system level
simulator we developed.
Although we have mainly focused on applying the analytical framework we have derived in this work to the performance analysis of physical layer algorithms such as spatial diversity and
adaptive null steering, the framework can be extended to assist the analysis and design of wireless communication systems such as,
to name a few, distributed multiple input multiple output (MIMO) system in cooperative wireless networks, multipath routing protocol analysis in wireless fading channels, and antenna
selection problems in MIMO system.
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