Scalable Signal Processing in Cloud Radio Access Networks
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…
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Produktdetails
Weitere Autoren: Fan, Congmin / Yuan, Xiaojun
- ISBN: 978-3-030-15883-5
- EAN: 9783030158835
- Produktnummer: 30101242
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 100 S.
- Masse: H23.5 cm x B15.5 cm x D0.6 cm 184 g
- Abbildungen: Book; 20 schwarz-weiße Abbildungen, Bibliographie
- Gewicht: 184
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