Big Data Analytics for 5G Networks: Utilities, Frameworks, Challenges, and Opportunities

[1]  Tim Furche,et al.  Data Wrangling for Big Data: Challenges and Opportunities , 2016, EDBT.

[2]  Tapani Ristaniemi,et al.  Detection of Sleeping Cells in LTE Networks Using Diffusion Maps , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[3]  Michael J. Franklin.  The Berkeley Data Analytics Stack: Present and future , 2013, Big Data 2013.

[4]  Muhammad Ali Imran,et al.  Challenges in 5G: how to empower SON with big data for enabling 5G , 2014, IEEE Network.

[5]  Slawomir Stanczak,et al.  Toward cell outage detection with composite hypothesis testing , 2012, 2012 IEEE International Conference on Communications (ICC).

[6]  Dong Liang,et al.  Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks , 2014 .

[7]  Mehdi Amirijoo,et al.  Cell Outage Compensation in LTE Networks: Algorithms and Performance Assessment , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[8]  Mugen Peng,et al.  Classification-based approach for cell outage detection in self-healing heterogeneous networks , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[9]  Michael J. Franklin.  Making sense of big data with the Berkeley data analytics stack , 2013, SSDBM.

[10]  Maryam Ghasemaghaei,et al.  Does big data enhance firm innovation competency? The mediating role of data-driven insights , 2019, Journal of Business Research.

[11]  Mehdi Amirijoo,et al.  Effectiveness of cell outage compensation in LTE networks , 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC).

[12]  Sudha Ram,et al.  Predicting Location-Based Sequential Purchasing Events by Using Spatial, Temporal, and Social Patterns , 2015, IEEE Intelligent Systems.

[13]  Hiroyuki Kitagawa,et al.  Extracting Mobility Statistics from Indexed Spatio-Temporal Datasets , 2004, STDBM.

[14]  Rahim Tafazolli,et al.  Cell Outage Detection in Heterogeneous Networks with Separated Control and Data Plane , 2014 .

[15]  Muhammad Ali Imran,et al.  A Survey of Self Organisation in Future Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[16]  Min Chen,et al.  Mobile cellular big data: linking cyberspace and the physical world with social ecology , 2016, IEEE Network.

[17]  Kai-An Tang,et al.  Design of handover self-optimization using big data analytics , 2014, The 16th Asia-Pacific Network Operations and Management Symposium.

[18]  Xiaodong Ji,et al.  A dynamic affinity propagation clustering algorithm for cell outage detection in self-healing networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[19]  Arsalan Darbandi,et al.  Enabling proactive self-healing by data mining network failure logs , 2017, 2017 International Conference on Computing, Networking and Communications (ICNC).

[20]  Chiara Renso,et al.  Analysis of GSM calls data for understanding user mobility behavior , 2013, 2013 IEEE International Conference on Big Data.

[21]  Qian Zhang,et al.  Cooperative cell outage detection in Self-Organizing femtocell networks , 2013, 2013 Proceedings IEEE INFOCOM.

[22]  Yu Hua,et al.  Mining and modelling the dynamic patterns of service providers in cellular data network based on big data analysis , 2013, China Communications.

[23]  J. Kurjenniemi,et al.  Suitability of RSRQ measurement for quality based inter-frequency handover in LTE , 2008, 2008 IEEE International Symposium on Wireless Communication Systems.

[24]  Ramón Cáceres,et al.  A Tale of One City: Using Cellular Network Data for Urban Planning , 2011, IEEE Pervasive Computing.

[25]  Yuanyuan Qiao,et al.  Mobile big-data-driven rating framework: measuring the relationship between human mobility and app usage behavior , 2016, IEEE Network.

[26]  Margaret Martonosi,et al.  ON CELLULAR , 2022 .

[27]  Haipeng Yao,et al.  Big Data Analytics in Mobile Cellular Networks , 2016, IEEE Access.

[28]  Sung-Ju Lee,et al.  Mobility prediction in wireless networks , 2000, MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority (Cat. No.00CH37155).

[29]  Hans-Peter Kriegel,et al.  LoOP: local outlier probabilities , 2009, CIKM.

[30]  Zhou Su,et al.  Big data in mobile social networks: a QoE-oriented framework , 2016, IEEE Network.

[31]  Muhammad Ali Imran,et al.  A Cell Outage Management Framework for Dense Heterogeneous Networks , 2016, IEEE Transactions on Vehicular Technology.

[32]  Xiaoyong Du,et al.  Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics , 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

[33]  Margaret Martonosi,et al.  Identifying Important Places in People's Lives from Cellular Network Data , 2011, Pervasive.

[34]  Tapani Ristaniemi,et al.  An Approach for Network Outage Detection from Drive-Testing Databases , 2012, J. Comput. Networks Commun..

[35]  Muhammad Ali Imran,et al.  Mobility prediction for handover management in cellular networks with control/data separation , 2015, 2015 IEEE International Conference on Communications (ICC).

[36]  Muhammad Ali Imran,et al.  Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook , 2016, IEEE Communications Surveys & Tutorials.

[37]  Sudarshan Rao.  Operational Fault Detection in cellular wireless base-stations , 2006, IEEE Transactions on Network and Service Management.

[38]  Daniel Westreich,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2014 .

[39]  Tapani Ristaniemi,et al.  Data Mining Approach to Detection of Random Access Sleeping Cell Failures in Cellular Mobile Networks , 2015, ArXiv.

[40]  Viju Raghupathi,et al.  Big data analytics in healthcare: promise and potential , 2014, Health Information Science and Systems.

[41]  Richard Demo Souza,et al.  A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks , 2017, IEEE Communications Surveys & Tutorials.

[42]  Kari Laasonen,et al.  Clustering and Prediction of Mobile User Routes from Cellular Data , 2005, PKDD.

[43]  Bin Wu,et al.  Characterization of 3G Data-Plane Traffic and Application towards Centralized Control and Management for Software Defined Networking , 2013, 2013 IEEE International Congress on Big Data.

[44]  Ramón Cáceres,et al.  Route classification using cellular handoff patterns , 2011, UbiComp '11.

[45]  Pratap S. Prasad,et al.  Movement Prediction in Wireless Networks Using Mobility Traces , 2010, 2010 7th IEEE Consumer Communications and Networking Conference.

[46]  Volker Wille,et al.  System for automated diagnosis in cellular networks based on performance indicators , 2005, Eur. Trans. Telecommun..

[47]  Vishal Deep,et al.  Big data analytics concepts and management techniques , 2016, 2016 International Conference on Inventive Computation Technologies (ICICT).

[48]  David Soldani,et al.  Self-optimizing Neighbor Cell List for UTRA FDD Networks Using Detected Set Reporting , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[49]  Berna Sayraç,et al.  How a layered rem architecture brings cognition to today's mobile networks , 2012, IEEE Wireless Communications.

[50]  Weisi Guo,et al.  A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning , 2020, IEEE Access.

[51]  Muhammad Ali Imran,et al.  Data-driven analytics for automated cell outage detection in Self-Organizing Networks , 2015, 2015 11th International Conference on the Design of Reliable Communication Networks (DRCN).

[52]  Engin Zeydan,et al.  Anomaly Detection In Cellular Network Data Using Big Data Analytics , 2014 .

[53]  Hans-Peter Kriegel,et al.  LOF: identifying density-based local outliers , 2000, SIGMOD 2000.

[54]  L. Bengtsson,et al.  Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti , 2011, PLoS medicine.

[55]  Jani Puttonen,et al.  Coverage optimization for Minimization of Drive Tests in LTE with extended RLF reporting , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[56]  Li Wenjing,et al.  Centralized Management Mechanism for Cell Outage Compensation in LTE Networks , 2012 .

[57]  Engin Zeydan,et al.  On use of big data for enhancing network coverage analysis , 2013, ICT 2013.

[58]  Marco Mellia,et al.  A Survey on Big Data for Network Traffic Monitoring and Analysis , 2019, IEEE Transactions on Network and Service Management.

[59]  Mikio Iwamura,et al.  LTE-ADVANCED AND 4 G WIRELESS COMMUNICATIONS : PART 2 , 2022 .

[60]  Yoshihide Sekimoto,et al.  Spatiotemporal route estimation consistent with human mobility using cellular network data , 2013, 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[61]  Kun Yang,et al.  A dynamic bandwidth allocation algorithm in mobile networks with big data of users and networks , 2016, IEEE Network.

[62]  Petri Mähönen,et al.  Improving coverage estimation for cellular networks with spatial bayesian prediction based on measurements , 2012, CellNet '12.

[63]  Xiang Cheng,et al.  Mobile Big Data: The Fuel for Data-Driven Wireless , 2017, IEEE Internet of Things Journal.

[64]  Ali Imran,et al.  Self-Healing in Emerging Cellular Networks: Review, Challenges, and Research Directions , 2018, IEEE Communications Surveys & Tutorials.