Download e-book for iPad: An introduction to communication network analysis by George Kesidis

By George Kesidis

ISBN-10: 0470168684

ISBN-13: 9780470168684

This booklet is a quantitative textual content, which specializes in the genuine concerns in the back of severe modeling and research of communications networks. the writer covers all of the worthy arithmetic and concept to ensure that scholars to appreciate the instruments that optimize desktop networks this present day.

  • Covers either classical (e.g. queueing concept) and sleek (e.g. pricing) elements of networking
  • Integrates fabric on verbal exchange networks with fabric on modeling/analyzing and designing such networks
  • Includes an answer Manual

Show description

Read or Download An introduction to communication network analysis PDF

Best certification books

Get CCNA ICND2 Official Exam Certification Guide (CCNA Exams PDF

CCNA ICND2 legit examination Certification consultant moment variation   grasp ICND2 640-816 and CCNA 640-802 examination issues with the reliable examine advisor investigate your wisdom with chapter-opening quizzes assessment key ideas with examination instruction initiatives perform with 1000s of examination questions about the CD-ROM   Wendell Odom, CCIE® No.

New PDF release: CCNP BSCI Quick Reference Sheets, Digital Shortcut

CCNP speedy Reference Sheets package deal (Digital brief reduce) Brent Stewart, Denise Donohue, Jay Swan ISBN: 1-58705-327-6   As a last examination practise device, the 4 CCNP quickly Reference Sheets incorporated during this value-priced package deal offer a concise evaluate of all goals on all 4 of the hot CCNP assessments (BSCI 642-901, BCMSN 642-812, ISCW 642-825, and ONT 642-845).

Clare Gough's CCNP BSCI exam certification guide : CCNP self-study PDF

Arrange for the CCNP 642-801 BSCI examination with the single Cisco structures approved self-study practise booklet. grasp complex routing innovations and practicesPrepare for the hot examination with the 200-plus query checking out engine on CD-ROM that incorporates simulation-based questionsLearn CCNP, CCDP, and CCIP routing themes with confirmed studying instruments from the examination Certification advisor seriesWith up-to-date know-how and checking out content material, CCNP BSCI examination Certification advisor (CCNP Self-Study) offers unprecedented instructional studying and examination practise on complicated routing concepts and practices.

Additional resources for An introduction to communication network analysis

Sample text

Also suppose that a batch of ir samples X,, 1 5 i 5 n , is taken while the network is in a single state but that state is not known. Finally, suppose it is known that the probability that the network is in state 1 is 111 and that ~ 1 , = ~ E(X, 1 network state j ) for krlown values p,, J E ( 1 . 2 ) . Without loss of generality, take p~ < 112. We wish to infer from the sample data X , the state of the network. More specifically, we wish to minimize the probability of error P, in our decision. To do this, note that by the REVIEW OF ELEMENTARY PROBABILITY THEORY central limit theorem, given that the network is in state j , the sample mean is approximately normally distributed with mean p, and variance u:,,.

20 REVIEW OF ELEMENTARY PROBABILITY THEORY This is the MGF of a gamma (Erlang) distributed random variable with parameters X and n E Z+and PDF for z > 0. 8 Suppose that, for i = 1 , 2 , the random variable X i is Gaussian distributed with mean p, and variance a:. Also suppose that X I and X 2 are independent. l6), the MGF of X1 + X2 is + which we recognize as a Gaussian MGF. 6. 10 CONDITIONAL INDEPENDENCE the events A and C are said to be independent given B. , events A and C are (unconditionally) independent if P(A ( C ) = P(A).

Rrr) L E Z+. n E 1: = Z', rrj E I,,}. 2 A sample path of a Markov chain. ,. ,. 9)), let n = X ( s ) and let i be the number of transitions of X prior to the present time s . Clearly, the random variables i, n, and Ti (the last transition time prior to s) can be discerned from {X,, 0 5 r s) and can therefore be considered "given" as well. 2. Note that exp(q,,,x) depends on { X , , 0 5 r through n = X ( s ) . So, Ti+1 - s is exponentially distributed with parameter -q,,, and conditionally independent of s - Ti given {X,, 0 r s).

Download PDF sample

An introduction to communication network analysis by George Kesidis


by Paul
4.3

Rated 4.63 of 5 – based on 7 votes