A survey on data-driven intelligence in next-generation mobile networks

PhD Qualifying Examination

Title: "A survey on data-driven intelligence in next-generation mobile 


Mr. Tong LI


The next-generation mobile networks are evolving into a very complex system 
because of the various service requirements and super-heterogeneous network 
architectures. Traditional networking approaches, i.e., reactive, 
centrally-managed approaches are of limited capability and cannot satisfy the 
future complex networks. On the other hand, data-driven intelligence techniques 
offer as an alternative option, which is possibly superior over traditional 
methods. In this survey, we make a review of the state-of-the-art research 
efforts on the data-driven intelligence in mobile networks. We first give an 
overview of the data-driven methodology, including design flows, advantages, 
drawbacks and general principles of using data-driven methods in mobile 
networks. Next, a detail introduction of mobile big data is presented. The 
sources, categories, and characteristics of mobile big data are discussed. We 
then summarize recent researches on data-driven intelligence from three groups,
  descriptive intelligence, predictive intelligence, and prescriptive 
intelligence, including pattern discovery, anomaly detection, traffic 
prediction and classification, content popularity prediction and network 
adaption. Finally, open research challenges and future directions are presented 
as well.

Date:			Friday, 21 December 2018

Time:                  	10:00am - 12:00noon

Venue:                  Room 3494
                         Lifts 25/26

Committee Members:	Dr. Pan Hui (Supervisor)
 			Prof. Gary Chan (Chairperson)
 			Prof. James Kwok
 			Dr. Brian Mak

**** ALL are Welcome ****