Scalable Signal Processing in Cloud Radio Access Networks
Series: SpringerBriefs in Electrical and Computer Engineering;
- Publisher's listprice EUR 58.84
-
24 403 Ft (23 241 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 4 881 Ft off)
- Discounted price 19 522 Ft (18 593 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
24 403 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2019
- Publisher Springer International Publishing
- Date of Publication 27 April 2019
- Number of Volumes 1 pieces, Book
- ISBN 9783030158835
- Binding Paperback
- No. of pages100 pages
- Size 235x155 mm
- Weight 454 g
- Language English
- Illustrations XI, 100 p. 30 illus. Illustrations, black & white 0
Categories
Long description:
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.
More
Fourier Transform and Its Applications Using Microsoft EXCEL®
24 885 HUF
22 894 HUF
