Cognitive RAN: a self-learning wireless RAN

There is a need to rethink the architecture of RAN from a statically configured RAN to a dynamically self-configuring RAN based on the availability of spectrum (licensed/unlicensed), adjacent channel interference, co-channel interference etc. This will ensure that with configurable wide-band RF and...

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Bibliographic Details
Published inCSI TRANSACTIONS ON ICT Vol. 7; no. 1; pp. 61 - 66
Main Authors Naik, Parag, Saha, Anindya
Format Journal Article
LanguageEnglish
Published New Delhi Springer India 01.03.2019
Springer Nature B.V
Subjects
Cloud computing
Cochannel interference
Computer Communication Networks
Computer Science
Data management
Input/Output and Data Communications
S.I. : Wireless in the future
Software Engineering/Programming and Operating Systems
Systems and Data Security
Radio Access Network
Machine Learning
Big-Data
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Summary:There is a need to rethink the architecture of RAN from a statically configured RAN to a dynamically self-configuring RAN based on the availability of spectrum (licensed/unlicensed), adjacent channel interference, co-channel interference etc. This will ensure that with configurable wide-band RF and programmable SDR and a Big Data Cloud Compute Server we should be able to operate in any usage scenario like eMBB (enhanced Mobile Broad Band), urLLC (ultra-reliable low latency communication) or mMTC (massive machine type communication) specified in IMT 2020 Vision document.
ISSN:2277-9078
2277-9086
DOI:10.1007/s40012-019-00222-1