Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 17,51
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 336 pages. 9.00x6.00x0.91 inches. In Stock.
Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: University of Hawaii Press, 2023
ISBN 10: 0824892828 ISBN 13: 9780824892821
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New.
Anbieter: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, Vereinigtes Königreich
EUR 35,79
Anzahl: 1 verfügbar
In den WarenkorbZustand: Very Good. Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, book content is in like new condition.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 57,85
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 59,56
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030158837 ISBN 13: 9783030158835
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.