Scalable Signal Processing in Cloud Radio Access Networks [electronic resource] by Ying-Jun Angela Zhang, Congmin Fan, Xiaojun Yuan.

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 activiti...

Full description

Bibliographic Details
Uniform Title:SpringerBriefs in Electrical and Computer Engineering, 2191-8120
Main Authors: Zhang, Ying-Jun Angela (Author)
Fan, Congmin (Author)
Yuan, Xiaojun (Author)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:SpringerBriefs in Electrical and Computer Engineering,
Subjects:
Online Access:
Format: Electronic eBook

MARC

LEADER 00000nam a22000003i 4500
001 ebs20296826e
003 EBZ
006 m o d ||||||
007 cr|unu||||||||
008 190423s2019 sz | o |||| 0|eng d
020 |z 9783030158835 
020 |a 9783030158842 (online) 
035 |a (EBZ)ebs20296826e 
040 |d EBZ 
042 |a msc 
050 4 |a TK5103.2-.4885 
100 1 |a Zhang, Ying-Jun Angela.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Scalable Signal Processing in Cloud Radio Access Networks  |h [electronic resource]  |c by Ying-Jun Angela Zhang, Congmin Fan, Xiaojun Yuan. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
490 1 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8120 
520 |a 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. 
650 0 |a Wireless communication systems. 
650 0 |a Mobile communication systems. 
650 0 |a Signal processing. 
650 0 |a Telecommunication. 
700 1 |a Fan, Congmin.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Yuan, Xiaojun.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Engineering eBooks 2019 English/International   |d Springer Nature 
776 0 8 |i Printed edition:  |z 9783030158835 
776 0 8 |i Printed edition:  |z 9783030158859 
776 1 |t Scalable Signal Processing in Cloud Radio Access Networks 
830 0 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8120 
856 4 0 |y Access Content Online(from Springer Engineering eBooks 2019 English/International)  |u https://ezproxy.msu.edu/login?url=https://link.springer.com/10.1007/978-3-030-15884-2  |z Springer Engineering eBooks 2019 English/International: 2019