Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2018
ISBN 10: 6139842891 ISBN 13: 9786139842896
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139842891 ISBN 13: 9786139842896
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. V-SCME: A Developed Channel Model and Coding for V2V Communication | First Edition | Ahmad Al-Khalil | Taschenbuch | 112 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139842896 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139842891 ISBN 13: 9786139842896
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The development of a more realistic simulation environment for VANET is critical in ensuring high performance.This book describes two approaches to improve such Vehicle to Vehicle V2V communication. The first one is based on the development of an already existing approach, the Spatial Channel Model Extended SCME for cellular communication which is a verified, validated and well-established communication channel model. The new developed model, is called Vehicular - Spatial Channel Model Extended V-SCME and can be utilised for V2V communication. V-SCME is a statistical channel model which was specifically developed and configured to satisfy the requirements of the highly dynamic network topology such as V2V communication. V-SCME provides a precise channel coefficients library for vehicle to vehicle communication for use by the research community, so as to reduce the overall simulation time. The second approach is to apply V-BLAST (MIMO) coding which can be implemented with V2V communication and improve its performance over the V-SCME. The V-SCME channel model with V-BLAST coding system was used to improve V2V physical layer performance, which is a novel contribution. 112 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139842891 ISBN 13: 9786139842896
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Khalil AhmadDr.Ahmad Al-Khalil is a Lecturer of Computer Science at the University of Duhok - Iraq , his PhD in Wireless Communication, he is a professional member of BSC, IET, IEEE and ACM as well. His research interests: Mobile .
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2018
ISBN 10: 6139842891 ISBN 13: 9786139842896
Librería: Majestic Books, Hounslow, Reino Unido
EUR 85,93
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Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2018
ISBN 10: 6139842891 ISBN 13: 9786139842896
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 85,84
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139842891 ISBN 13: 9786139842896
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The development of a more realistic simulation environment for VANET is critical in ensuring high performance.This book describes two approaches to improve such Vehicle to Vehicle V2V communication. The first one is based on the development of an already existing approach, the Spatial Channel Model Extended SCME for cellular communication which is a verified, validated and well-established communication channel model. The new developed model, is called Vehicular - Spatial Channel Model Extended V-SCME and can be utilised for V2V communication. V-SCME is a statistical channel model which was specifically developed and configured to satisfy the requirements of the highly dynamic network topology such as V2V communication. V-SCME provides a precise channel coefficients library for vehicle to vehicle communication for use by the research community, so as to reduce the overall simulation time. The second approach is to apply V-BLAST (MIMO) coding which can be implemented with V2V communication and improve its performance over the V-SCME. The V-SCME channel model with V-BLAST coding system was used to improve V2V physical layer performance, which is a novel contribution.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139842891 ISBN 13: 9786139842896
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 50,50
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The development of a more realistic simulation environment for VANET is critical in ensuring high performance.This book describes two approaches to improve such Vehicle to Vehicle V2V communication. The first one is based on the development of an already existing approach, the Spatial Channel Model Extended SCME for cellular communication which is a verified, validated and well-established communication channel model. The new developed model, is called Vehicular - Spatial Channel Model Extended V-SCME and can be utilised for V2V communication. V-SCME is a statistical channel model which was specifically developed and configured to satisfy the requirements of the highly dynamic network topology such as V2V communication. V-SCME provides a precise channel coefficients library for vehicle to vehicle communication for use by the research community, so as to reduce the overall simulation time. The second approach is to apply V-BLAST (MIMO) coding which can be implemented with V2V communication and improve its performance over the V-SCME. The V-SCME channel model with V-BLAST coding system was used to improve V2V physical layer performance, which is a novel contribution.