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Channel Variations in MIMO Wireless Communication Systems: Eigen-Structure Perspectives

Ping-Heng Kuo
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TLDR
This thesis provides some analytical methodologies to investigate the variation of MIMO eigenmodes and derives accurate analytical approximations for the level crossing rate (LCR) and average fade duration (AFD) of the MIMModes in an independent, identically distributed flat-fading channel.
Abstract
Many recent research results have concluded that the multiple-input multipleoutput (MIMO) wireless communication architecture is a promising approach to achieve high bandwidth efficiencies. MIMO wireless channels can be simply defined as a link for which both the transmitting and receiving ends are equipped with multiple antenna elements. This advanced communication technology has the potential to resolve the bottleneck in traffic capacity for future wireless networks. Applying MIMO techniques to mobile communication systems, the problem of channel fading between the transmitters and receivers, which results in received signal strength fluctuations, is inevitable. The time-varying nature of the mobile channel affects various aspects of receiver design. This thesis provides some analytical methodologies to investigate the variation of MIMO eigenmodes. Although the scope is largely focussed on the temporal variation in this thesis, our results are also extended to frequency variation. Accurate analytical approximations for the level crossing rate (LCR) and average fade duration (AFD) of the MIMO eigenmodes in an independent, identically distributed (i.i.d.) flat-fading channel are derived. Furthermore, since several channel metrics (such as the total power gain, eigenvalue spread, capacity and Demmel condition number) are all related to the eigenmodes, we also derive their LCRs and AFDs using a similar approach. The effectiveness of our method lies in the fact that the eigenvalues and corresponding channel

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Citations
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Journal ArticleDOI

On the condition number distribution of complex wishart matrices

TL;DR: This paper presents a novel generic framework for the standard condition number (SCN) distribution which accounts for both central and non-central Wishart matrices of arbitrary dimension, and derives new exact polynomial expressions for both the SCN and DCN distributions.
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Distribution of the Demmel Condition Number of Wishart Matrices

TL;DR: The Demmel condition number of Wishart matrices is studied, a quantity which has numerous applications to wireless communications, such as adaptive switching between beamforming and diversity coding, link adaptation, and spectrum sensing, to give an exact analytical expression for the probability density function (p.d.f.) of the DemMel condition number, and also derive simplified expressions for the high tail regime.
Journal ArticleDOI

Block-Based Performance Measures for MIMO OFDM Beamforming Systems

TL;DR: An adaptive modulation system with multiple-input-multiple-output (MIMO) antennas in conjunction with orthogonal frequency-division multiplexing (OFDM) operating over frequency-selective Rayleigh fading environments is considered and a central limit theorem is derived for various block-based performance metrics.
Proceedings ArticleDOI

Performance Analysis of Adaptive MIMO OFDM Beamforming Systems

TL;DR: An adaptive modulation system with multiple-input multiple-output (MIMO) antennas in conjunction with orthogonal frequency division multiplexing (OFDM) operating over frequency selective Rayleigh fading environments is considered, and a central limit theorem is derived for various block-based performance metrics.
Proceedings ArticleDOI

Distribution of the Demmel Condition Number of Complex Wishart Matrices

TL;DR: The results indicate that the condition of complex Wishart matrices is dominantly decided by the difference between the matrix dimension and degree of freedom (DoF).
References
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Wireless Communications: Principles and Practice

TL;DR: WireWireless Communications: Principles and Practice, Second Edition is the definitive modern text for wireless communications technology and system design as discussed by the authors, which covers the fundamental issues impacting all wireless networks and reviews virtually every important new wireless standard and technological development, offering especially comprehensive coverage of the 3G systems and wireless local area networks (WLANs).
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A simple transmit diversity technique for wireless communications

TL;DR: This paper presents a simple two-branch transmit diversity scheme that provides the same diversity order as maximal-ratio receiver combining (MRRC) with one transmit antenna, and two receive antennas.
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Capacity of Multi‐antenna Gaussian Channels

TL;DR: In this paper, the authors investigate the use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading, and derive formulas for the capacities and error exponents of such channels, and describe computational procedures to evaluate such formulas.
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Microwave Mobile Communications

TL;DR: An in-depth and practical guide, Microwave Mobile Communications will provide you with a solid understanding of the microwave propagation techniques essential to the design of effective cellular systems.
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Fundamentals of Wireless Communication

TL;DR: In this paper, the authors propose a multiuser communication architecture for point-to-point wireless networks with additive Gaussian noise detection and estimation in the context of MIMO networks.