Sold out

ARQ Schemes in Wireless Multi-Channel Communication Systems - Modeling and Performance Evaluation

English · Paperback / Softback

Description

Read more

With rapid advances in wireless communication and networking, orthogonal frequency division multiplexing (OFDM) and multiple-input multiple-output antennas (MIMO) are often adopted in communication systems to create multiple parallel channels. To implement error control through retransmission of packets in a multichannel communication system, Automatic-Repeat-reQuest (ARQ) schemes have been generalized for parallel multichannel data communications. In this thesis, we develop two stochastic systems, denoted by MSW-ARQ and MSW-ARQ-inS, for modeling stop-and-wait ARQ over multiple channels with either time-invariant or time-varying error rates. We evaluate their performance analytically and through simulation. We expect that the modeling technique and analysis approach proposed in this thesis can be applied to the performance evaluation of other ARQ protocols (e.g., selective- repeat ARQ) over multiple channels.

About the author

Jun Li received the M.Sc. and Ph.D. degrees from the School of Mathematics and Statistics of Carleton University, Canada, in 2003 and 2008, respectively. He has been a research scientist in the Communications Research Centre Canada since 2009. His research interests include modeling and analysis and siumulation for wireless networks.

Product details

Authors Jun Li
Publisher VDM Verlag Dr. Müller
 
Languages English
Product format Paperback / Softback
Released 01.01.2010
 
EAN 9783639299281
ISBN 978-3-639-29928-1
No. of pages 112
Subject Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.