Scalable Signal Processing in Cloud Radio Access Networks (SpringerBriefs in Electrical and Computer Engineering) - Tapa blanda

Libro 190 de 209: SpringerBriefs in Electrical and Computer Engineering

Zhang, Ying-Jun Angela; Fan, Congmin; Yuan, Xiaojun

 
9783030158835: Scalable Signal Processing in Cloud Radio Access Networks (SpringerBriefs in Electrical and Computer Engineering)
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ISBN 10: 3030158837 ISBN 13: 9783030158835
Editorial: Springer, 2019

Sinopsis

This Springerbreif  introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs.  The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity.

Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where ‘scalable’ means that the computational and implementation complexities do not grow rapidly with the network size.

This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.


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Reseña del editor

This Springerbreif  introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs.  The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity.

Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where ‘scalable’ means that the computational and implementation complexities do not grow rapidly with the network size.

This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.


"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3030158837
ISBN 13 
9783030158835
Encuadernación
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Número de edición
1
Número de páginas
112
Contacto del fabricante
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9783030158859: Scalable Signal Processing in Cloud Radio Access Networks

Edición Destacada

ISBN 10:  3030158853 ISBN 13:  9783030158859
Editorial: Springer, 2019
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