Complementary base station clustering for cost-effective and energy-efficient cloud-RAN
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Gang Pan | Cheng Wang | Jérémie Jakubowicz | Thi Mai Trang Nguyen | Longbiao Chen | Xiaoliang Fan | Linjin Liu | Johnathan Li | Gang Pan | Longbiao Chen | Cheng Wang | Xiaoliang Fan | T. Nguyen | J. Jakubowicz | L. Liu | Johnathan Li
[1] C-ran the Road towards Green Ran , 2022 .
[2] Michael S. Berger,et al. Cloud RAN for Mobile Networks—A Technology Overview , 2015, IEEE Communications Surveys & Tutorials.
[3] Jianhua Lin,et al. Divergence measures based on the Shannon entropy , 1991, IEEE Trans. Inf. Theory.
[4] Daqing Zhang,et al. The Emergence of Social and Community Intelligence , 2011, Computer.
[5] Robert W. Heath,et al. Base station cooperation with dynamic clustering in super-dense cloud-RAN , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).
[6] Zhaohui Wu,et al. Container Port Performance Measurement and Comparison Leveraging Ship GPS Traces and Maritime Open Data , 2016, IEEE Transactions on Intelligent Transportation Systems.
[7] Zhu Wang,et al. Mobile Crowd Sensing and Computing , 2015, ACM Comput. Surv..
[8] Razvan Stanica,et al. Mobile Demand Profiling for Cellular Cognitive Networking , 2017, IEEE Transactions on Mobile Computing.
[9] Daqing Zhang,et al. Sparse mobile crowdsensing: challenges and opportunities , 2016, IEEE Communications Magazine.
[10] Daqing Zhang,et al. Fine-Grained Urban Event Detection and Characterization Based on Tensor Cofactorization , 2017, IEEE Transactions on Human-Machine Systems.
[11] Cong Xiong,et al. Energy-efficient wireless communications: tutorial, survey, and open issues , 2011, IEEE Wireless Communications.
[12] Marco De Nadai,et al. A multi-source dataset of urban life in the city of Milan and the Province of Trentino , 2015, Scientific Data.
[13] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[14] Vikram Srinivasan,et al. CloudIQ: a framework for processing base stations in a data center , 2012, Mobicom '12.
[15] Daqing Zhang,et al. NationTelescope: Monitoring and visualizing large-scale collective behavior in LBSNs , 2015, J. Netw. Comput. Appl..
[16] Zhi-Hua Zhou,et al. B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces , 2014, IEEE Transactions on Intelligent Transportation Systems.
[17] David Tse,et al. Fundamentals of Wireless Communication , 2005 .
[18] Zhaohui Wu,et al. Dynamic cluster-based over-demand prediction in bike sharing systems , 2016, UbiComp.
[19] Jiangtao Wang,et al. Real-time and generic queue time estimation based on mobile crowdsensing , 2017, Frontiers of Computer Science.
[20] Zhengang Pan,et al. Toward green and soft: a 5G perspective , 2014, IEEE Communications Magazine.
[21] Minas Gjoka,et al. On the Decomposition of Cell Phone Activity Patterns and their Connection with Urban Ecology , 2015, MobiHoc.
[22] Yuh-Shyan Chen,et al. A Dynamic BBU–RRH Mapping Scheme Using Borrow-and-Lend Approach in Cloud Radio Access Networks , 2018, IEEE Systems Journal.
[23] Zhaohui Wu,et al. Weakly Supervised Metric Learning for Traffic Sign Recognition in a LIDAR-Equipped Vehicle , 2016, IEEE Transactions on Intelligent Transportation Systems.
[24] Réka Albert,et al. Near linear time algorithm to detect community structures in large-scale networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] Wei Xiang,et al. Big data-driven optimization for mobile networks toward 5G , 2016, IEEE Network.