عنوان

Scalable signal processing in cloud radio access networks /

(Number (ISBN

3030158837

(Number (ISBN

3030158845

(Number (ISBN

3030158853

(Number (ISBN

9783030158835

(Number (ISBN

9783030158842

(Number (ISBN

9783030158859

Erroneous ISBN

9783030158835

Title Proper

Scalable signal processing in cloud radio access networks /

General Material Designation

[Book]

First Statement of Responsibility

Ying-Jun Angela Zhang, Congmin Fan and Xiaojun Yuan.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource

Series Title

Springer briefs in electrical and computer engineering,

ISSN of Series

2191-8120

Text of Note

Includes bibliographical references and index.

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030158842

International Standard Book Number

9783030158835

International Standard Book Number

9783030158859

Cloud computing.

Signal detection.

Signal processing.

Cloud computing.

Signal detection.

Signal processing.

TECHNOLOGY & ENGINEERING-- Mechanical.

TEC-- 009070

TJKW

TJKW

Number

Edition

Class number

Zhang, Ying Jun

Fan, Congmin

Yuan, Xiaojun

Date of Transaction

20200823084817.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y