Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks
暂无分享,去创建一个
Marco Fiore | Mahesh K. Marina | Cengis Hasan | Xenofon Foukas | Rajkarn Singh | Yue Wang | M. Fiore | M. Marina | Yue Wang | Cengis Hasan | Xenofon Foukas | Rajkarn Singh
[1] Navid Nikaein,et al. Processing Radio Access Network Functions in the Cloud: Critical Issues and Modeling , 2015, MCS '15.
[2] Moshe Zukerman,et al. Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.
[3] Francesco Musumeci,et al. Multiplexing Gain and Processing Savings of 5G Radio-Access-Network Functional Splits , 2018, IEEE Transactions on Green Communications and Networking.
[4] Branka Vucetic,et al. Baseband Processing Units Virtualization for Cloud Radio Access Networks , 2015, IEEE Wireless Communications Letters.
[5] Akshat Verma,et al. pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems , 2008, Middleware.
[6] George Iosifidis,et al. FluidRAN: Optimized vRAN/MEC Orchestration , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.
[7] Andres Garcia-Saavedra,et al. WizHaul: On the Centralization Degree of Cloud RAN Next Generation Fronthaul , 2018, IEEE Transactions on Mobile Computing.
[8] Jun Zhang,et al. Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches , 2015, ACM Comput. Surv..
[9] Chun Yeow Yeoh,et al. Performance study of LTE experimental testbed using OpenAirInterface , 2016, 2016 18th International Conference on Advanced Communication Technology (ICACT).
[10] Andy Hopper,et al. Predicting the Performance of Virtual Machine Migration , 2010, 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.
[11] Himank Gupta,et al. Apt-RAN: A Flexible Split-Based 5G RAN to Minimize Energy Consumption and Handovers , 2020, IEEE Transactions on Network and Service Management.
[12] Yonggang Wen,et al. Data Center Energy Consumption Modeling: A Survey , 2016, IEEE Communications Surveys & Tutorials.
[13] Suguru Okuyama,et al. Overview of O-RAN Fronthaul Specifications , 2019 .
[14] Creating an ecosystem for vRANs supporting non-ideal fronthaul , 2018 .
[15] Navrati Saxena,et al. Energy-Efficient BBU Allocation for Green C-RAN , 2017, IEEE Communications Letters.
[16] Minghua Chen,et al. Joint VM placement and routing for data center traffic engineering , 2012, 2012 Proceedings IEEE INFOCOM.
[17] Zhisheng Niu,et al. TANGO: traffic-aware network planning and green operation , 2011, IEEE Wireless Communications.
[18] Preben E. Mogensen,et al. A flexible 5G frame structure design for frequency-division duplex cases , 2016, IEEE Communications Magazine.
[19] Stephen P. Boyd,et al. Notes on Decomposition Methods , 2008 .
[20] Bhaskar Krishnamachari,et al. Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks , 2013, IEEE Transactions on Wireless Communications.
[21] Biswanath Mukherjee,et al. Centralize or distribute? A techno-economic study to design a low-cost cloud radio access network , 2017, 2017 IEEE International Conference on Communications (ICC).
[22] Nirwan Ansari,et al. Energy Driven Avatar Migration in Green Cloudlet Networks , 2017, IEEE Communications Letters.
[23] Lei Li,et al. Recent Progress on C-RAN Centralization and Cloudification , 2014, IEEE Access.
[24] Muhammad Ali Imran,et al. How much energy is needed to run a wireless network? , 2011, IEEE Wireless Communications.
[25] Biswanath Mukherjee,et al. Energy-Efficient Virtual Base Station Formation in Optical-Access-Enabled Cloud-RAN , 2016, IEEE Journal on Selected Areas in Communications.
[26] Hai Jin,et al. Performance and energy modeling for live migration of virtual machines , 2011, Cluster Computing.
[27] Li Li,et al. Joint power optimization of data center network and servers with correlation analysis , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.
[28] K. Jörnsten,et al. A new Lagrangian relaxation approach to the generalized assignment problem , 1986 .
[29] Cicek Cavdar,et al. Optimal Processing Allocation to Minimize Energy and Bandwidth Consumption in Hybrid CRAN , 2018, IEEE Transactions on Green Communications and Networking.
[30] Zhengang Pan,et al. Toward green and soft: a 5G perspective , 2014, IEEE Communications Magazine.
[31] Dario Pompili,et al. Understanding the Computational Requirements of Virtualized Baseband Units Using a Programmable Cloud Radio Access Network Testbed , 2017, 2017 IEEE International Conference on Autonomic Computing (ICAC).
[32] Aleksandra Checko,et al. A Survey of the Functional Splits Proposed for 5G Mobile Crosshaul Networks , 2019, IEEE Communications Surveys & Tutorials.
[33] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[34] Xin Chen,et al. An Energy-Aware Algorithm for Optimizing Resource Allocation in Software Defined Network , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[35] Christian Blum,et al. Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.
[36] Giada Landi,et al. An Optimization-Enhanced MANO for Energy-Efficient 5G Networks , 2019, IEEE/ACM Trans. Netw..
[37] Navrati Saxena,et al. Traffic-Aware Cloud RAN: A Key for Green 5G Networks , 2016, IEEE Journal on Selected Areas in Communications.
[38] Anders S. G. Andrae,et al. On Global Electricity Usage of Communication Technology: Trends to 2030 , 2015 .
[39] Shugong Xu,et al. On the statistical multiplexing gain of virtual base station pools , 2014, 2014 IEEE Global Communications Conference.