Performance Optimization of Digital Communications Systems: 1st Edition (Hardback) book cover

Performance Optimization of Digital Communications Systems

1st Edition

By Vladimir Mitlin

Auerbach Publications

224 pages | 115 B/W Illus.

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Hardback: 9780849368967
pub: 2006-03-21
eBook (VitalSource) : 9780429119927
pub: 2006-03-21
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Because fine-tuning the parameters of a system is critical to a developer's success, Performance Optimization of Digital Communications Systems examines particular optimization problems in digital communications, presenting analytical techniques in combination with SystemView and MATLAB® simulations. Consisting of ten chapters, this monograph presents a unique method for determining the quality of a communications channel - a great advantage to any company that uses this method. The book presents a method for the transmission of proprietary data. It also describes the means to reduce the peak-to-average power ratio and introduces optimal phase shifters for multicarrier communication systems.

This volume contains numerous illustrations and includes appendices that offer optimization puzzles, MATLAB scripts, and some newly discovered properties of flat-spectrum and spectrum-shaped waveforms.

Table of Contents


About This Book


Method for Determining the Quality of a

Communication Channel


Main Idea Illustrated and a Minimization Principle

Phase-Spanning Nyquist Set Test

Frequency-Spanning Nyquist Set Test

Determining the Noise Level in a Nonbaseband System

Measuring the Level of a Useful Signal


Digital Communications in Stealth Mode


Stealth Communications Transceiver

Test on Randomness

BER Performance

Using a Decoy Signal


Pulse Shape Optimization


Pulse Shape Optimization Criterion

SO-Pulse and L-Pulse


BER Test

Approximation of Pulses by SAS

Data Windows Corresponding to the Pulses Introduced

Raised Pulses


Optimal Phase Shifters for Peak-to-Average Power Ratio

Reduction in Multicarrier Communication Systems


Optimal Phase Shifters and the Constant Envelope Principle

Flat Spectrum Chirps

Simulations of Multicarrier Transmission

Possible Applications of FSC


Optimization of the Automatic Repeat Request Parameters

in Quadrature Amplitude Modulation Channels


Derivation of the BER of a QAM Channel with FEC and ARQ

ARQ Performance Gain

A Method of Estimating the ARQ Gain

A Procedure for Determining the Optimum ARQ Parameters

Extension of the Method for the Case of a Slowly Fading


Determining the Average Number of Transmissions and the

Uncoded SER, Given the SER Past FEC/ARQ

Determining an Average Fraction of Erroneous Bits in an

Erroneous QAM Symbol


Optimal Selection of Error Correction and Retransmission

Parameters in Multichannel Communications Systems


Performance Gain Due to FEC/ARQ in Discrete Multitone


Mean-Field Approximation for Multicarrier Channel

with ARQ

An Approximate Solution of Equation 7.2.2

Optimization of FEC and ARQ Parameters for Current ADSL



Bit Error Rate of Self-Similar Constellations

in ADSL Systems


Self-Similarity of ADSL QAM Constellations

Error Probability Function of an ADSL QAM Constellation Encoder

Nonsquare Constellations: An Asymptotic Analysis

Comparison with Numerical Simulations


Throughput Optimization in a General Duplex

Communications System with FEC and ARQ


A System Model with FEC and ARQ

Joint Optimization of FEC and ARQ Parameters in Both Directions


A Quantitative Procedure of Optimizing the MAC Packet

Size in TCP/IP-Compliant Networks


Statement of the Problem of Optimizing the MAC Packet Size

in TCP/IP-Compliant Networks

Derivation of Equation 10.2.6

Determining the Optimal MAC Packet Size in the Case of a

Variable MAC Frame Length

Solution to the Problem and Decision Diagrams

Extension of the Method in the Case of a Fixed MAC Frame


Extension of the Method to Account for Error Detection

and Retransmission in the TCP/IP Protocol

Application to 802.11-Compliant Networks




Optimization Puzzles


MATLAB Scripts for the Bandwidth Optimization Problem


More about Flat Spectrum Chirps

About the Author

Vlad Mitlin received an M.Sc. degree in applied mathematics from the Moscow Oil and Gas Institute, Moscow, Russia, in 1981 and a Ph.D. in fluid mechanics from the National Gas Research Institute, Moscow, Russia, in 1987., During 1987 to 1990, he was a research associate with the Earth Physics Institute of the Russian Academy of Sciences. During 1990 to 1994, he was a postdoctoral fellow at the Engineering College of the University of Texas at Austin conducting research in statistical thermodynamics and nonlinear dynamics. During 1994 to 1995, he was a software consultant at Nielsen North America, Schaumburg, Illinois. From 1995 to 1997, he was a manager of fluid mechanics research at TerraTek, Salt Lake City, Utah. From 1997 to 1999, he was a senior software engineer at the Advanced/Functional Test Department of 3Com Corporation, Salt Lake City, Utah. From 1999 to 2002, he was a senior staff member at the Technology Development Center of 3Com Corporation, San Diego, California. From 2002 to 2003 he was chief scientist at the Metric Systems Corporation, Vista, California. Currently, he is an independent consultant., He has published a book (Nonlinear Dynamics of Reservoir Mixtures, CRC Press, Boca Raton, 1993) and about 80 articles in professional publications. His research interests include digital communications, nonlinear dynamics, fluid mechanics of heterogeneous systems, and inverse problems.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Information Technology
TECHNOLOGY & ENGINEERING / Telecommunications
TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications