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Scalable Signal Processing in Cloud Radio Access Networks

Af: Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang Engelsk Paperback

Scalable Signal Processing in Cloud Radio Access Networks

Af: Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang Engelsk Paperback
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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.


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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.


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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 100
ISBN-13: 9783030158835
Indbinding: Paperback
Udgave:
ISBN-10: 3030158837
Kategori: Trådløs teknologi (WAP)
Udg. Dato: 27 apr 2019
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 27 apr 2019
Forfatter(e): Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang
Forfatter(e) Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang

Kategori Trådløs teknologi (WAP)

ISBN-13 9783030158835

Sprog Engelsk

Indbinding Paperback

Sider 100

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 27 apr 2019

Oplagsdato 27 apr 2019

Forlag Springer Nature Switzerland AG

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