Title page for ETD etd-10072005-000051


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
  • DS/CDMA
  • Adaptive Array Processing
  • Diversity
  • Null Steering
  • Capacity
Date of Defense 2005-09-09
Availability unrestricted
Abstract
There 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

array.

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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