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eBook On the Achievable Rate of Stationary Fading Channels (Foundations in Signal Processing, Communications and Networking) ePub

eBook On the Achievable Rate of Stationary Fading Channels (Foundations in Signal Processing, Communications and Networking) ePub

by Meik Dörpinghaus

  • ISBN: 3642197795
  • Category: Engineering
  • Subcategory: Engineering
  • Author: Meik Dörpinghaus
  • Language: English
  • Publisher: Springer; 2011 edition (August 19, 2011)
  • Pages: 310
  • ePub book: 1543 kb
  • Fb2 book: 1363 kb
  • Other: lrf lrf azw mbr
  • Rating: 4.7
  • Votes: 113

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3 Meik Dörpinghaus On the Achievable Rate of Stationary Fading Channels. In addition, the achievable data rate with an optimal joint processing of pilot and data symbols is studied and a lower bound on the achievable rate for this case is derived.

3 Meik Dörpinghaus On the Achievable Rate of Stationary Fading Channels. In this context, it is also shown which part of the mutual information of the transmitter and the receiver is discarded when using the conventional receiver with synchronized detection based on a solely pilot based channel estimation. Concerning the typically applied periodic pilot symbols the question arises if these periodic pilot symbols are optimal from an information theoretic perspective.

Foundations in Signal Processing, Communications and Networking. Thinking of this, in the present thesis various aspects regarding the data rate of stationary Rayleigh fading channels are treated. First, bounds on the achievable data rate with . For other titles published in this series, go to ww. pringer. On the Achievable Rate of Stationary Fading Channels. zero-mean proper Gaus-sian input symbols, which are capacity achieving in the coherent case, . in case of perfect channel knowledge at the receiver, are derived.

Cambridge Core - Communications and Signal Processing - Foundations of MIMO . On the gain of joint processing of pilot and data symbols in stationary Rayleigh fading channels.

Cambridge Core - Communications and Signal Processing - Foundations of MIMO Communication - by Robert W. Heath Jr. View. In this paper, we consider the problem of detecting a QPSK signal transmitted over a flat-fading channel without using pilot symbols. Instead, our aim is to approximate ML sequence detection, which is a nonconvex and discrete problem. To solve this problem, we use semidefinite relaxation and randomization to find a solution close to optimal.

Engineering Signals & Communication. Foundations in Signal Processing, Communications and Networking. In this context, the book covers: - A study of the achievable rate of stationary Rayleigh fading channels, mainly focusing on . Authors: Dörpinghaus, Meik. Helps readers to learn, understand, and apply some fundamental concepts of information and communication theory. Gaussian input symbols, including multiple-input multiple-output and frequency-selective channels.

Besides classical topics of signal processing, communications and networking the scope of this series . This book proposes representations of multicast rate regions in wireless networks based on the mathematical concept of submodular functions, .

Besides classical topics of signal processing, communications and networking the scope of this series includes many topics which are comparably related to information technology, network theory, and control.

In this work, we derive a new upper bound on the achievable rate of. .The channel is modeled as a time varying Rayleigh fading process whose dynamics are characterized by a Doppler spectrum with specified.

In this work, we derive a new upper bound on the achievable rate of stationary Rayleigh flat-fading channels with . Here we study the robustness of this communication scheme with respect to errors in the estimation of the fading process. We quantify the degradation in performance that results from such estimation errors, and demonstrate the lack of robustness of this scheme. The channel is modeled as a time varying Rayleigh fading process whose dynamics are characterized by a Doppler spectrum with specified normalized fading rate.

Start by marking Mathematical Foundations for Signal Processing, Communications .

Start by marking Mathematical Foundations for Signal Processing, Communications, and Networking as Want to Read: Want to Read savin. ant to Read. Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the design, analysis, and optimization of signal processing algorithms, modern communication systems, and networks.

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This volumes discusses various aspects regarding the capacity/achievable data rate of stationary Rayleigh fading channels. First, it analyses bounds on the achievable data rate with zero-mean proper Gaussian input symbols, which are capacity achieving in the coherent case, i.e., in case of perfect channel knowledge at the receiver. These bounds are tight in the sense that the difference between the upper and the lower bound is bounded for all SNRs. The lower bound converges to the coherent capacity for asymptotically small channel dynamics. Furthermore, these bounds are extended to the case of multiple-input multiple-output (MIMO) channels and to the case of frequency selective channels. In a further part, the present work studies the achievable rate with receivers based on synchronized detection and a code-aided channel estimation. For a specific type of such a receiver an approximate upper bound on the achievable rate is derived. The comparison of this approximate upper bound and the achievable data rate with receivers using synchronized detection based on a solely pilot based channel estimation gives an approximate upper bound on the possible gain by using this kind of code-aided channel estimation in comparison to the conventional receiver using a solely pilot based channel estimation. In addition, the achievable data rate with an optimal joint processing of pilot and data symbols is studied and a lower bound on the achievable rate for this case is derived. In this context, it is also shown which part of the mutual information of the transmitter and the receiver is discarded when using the conventional receiver with synchronized detection based on a solely pilot based channel estimation.