Articoli correlati a Scalable Signal Processing in Cloud Radio Access Networks
- EditoreSpringer
- Data di pubblicazione2019
- ISBN 10 3030158837
- ISBN 13 9783030158835
- RilegaturaCopertina flessibile
- Numero edizione1
- Numero di pagine112
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Scalable Signal Processing in Cloud Radio Access Networks (SpringerBriefs in Electrical and Computer Engineering) by Zhang, Ying-Jun Angela, Yuan, Xiaojun, Fan, Congmin [Paperback ]
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Descrizione libro Soft Cover. Condizione: new. Codice articolo 9783030158835
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Scalable Signal Processing in Cloud Radio Access Networks (SpringerBriefs in Electrical and Computer Engineering)
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Descrizione libro Condizione: New. Codice articolo ABLIING23Mar3113020008168
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Scalable Signal Processing in Cloud Radio Access Networks
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Descrizione libro Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Codice articolo ria9783030158835_lsuk
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Scalable Signal Processing in Cloud Radio Access Networks
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Descrizione libro PF. Condizione: New. Codice articolo 6666-IUK-9783030158835
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Scalable Signal Processing in Cloud Radio Access Networks (SpringerBriefs in Electrical and Computer Engineering)
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Descrizione libro Condizione: New. Book is in NEW condition. Codice articolo 3030158837-2-1
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Scalable Signal Processing in Cloud Radio Access Networks (SpringerBriefs in Electrical and Computer Engineering)
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Descrizione libro Condizione: New. New! This book is in the same immaculate condition as when it was published. Codice articolo 353-3030158837-new
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Scalable Signal Processing in Cloud Radio Access Networks (SpringerBriefs in Electrical and Computer Engineering)
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Scalable Signal Processing in Cloud Radio Access Networks
Editore:
Springer International Publishing Apr 2019
(2019)
ISBN 10: 3030158837
ISBN 13: 9783030158835
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Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 112 pp. Englisch. Codice articolo 9783030158835
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Scalable Signal Processing in Cloud Radio Access Networks
Editore:
Springer Verlag
(2019)
ISBN 10: 3030158837
ISBN 13: 9783030158835
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Paperback
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Descrizione libro Paperback. Condizione: Brand New. 100 pages. 9.00x6.00x0.50 inches. In Stock. Codice articolo x-3030158837
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Scalable Signal Processing in Cloud Radio Access Networks
Editore:
Springer International Publishing
(2019)
ISBN 10: 3030158837
ISBN 13: 9783030158835
Nuovo
Taschenbuch
Quantità: 1
Da:
Valutazione libreria
Descrizione libro Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783030158835
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