EAN: 9783030158835

SPRINGERBRIEFS IN ELECTRICAL AND COMPUTER ENGIN...

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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