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    مؤتمر

    المساهمون: European Commission

    مصطلحات موضوعية: 5G, Media, Smart tourism, Test-beds, Trials, Demonstrations, Telecomunicaciones

    العلاقة: info:eu-repo/grantAgreement/EC/H2020/856950/5G-TOURS; 2020-12-07; IEEE Global Communications Conference. 2020 IEEE Globecom Workshops (GC Wkshps); 2020 IEEE Globecom Workshop, 7-11 December, Virtual Workshop. IEEE, 2021, 6 pp.; http://hdl.handle.net/10016/32521Test; https://doi.org/10.1109/GCWkshps50303.2020.9367418Test; 2020 IEEE Globecom Workshop, 7-11 December, Virtual Workshop; CC/0000031045

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    المؤلفون: Ariza Vesga, Luis Felilpe

    المساهمون: Eslava Garzon, Johan Sebastian, ¨Sistemas de telecomunicaciones de próxima generación¨ del centro de investigaciones ID: TOLU

    وصف الملف: application/pdf

    العلاقة: 3GPP: Study on new radio access technology: Radio access architecture and interfaces. 2017 ( TR 38.801). – Informe de Investigación; 3GPP: Evolved Universal Terrestrial Radio Access (E- UTRA): Physical layer procedures / 3rd Generation Partnership Project (3GPP). 2018 ( 36.213). – Technical Specifications (TS). Version 15.3.0.; 3GPP: Study on channel model for frequencies from 0.5 to 100 GHz / 3rd Generation Partnership Project (3GPP). 2018 ( 38.901). – Technical Report (TR). Version 14.0.0.; AKIYAMA, Yuko: New Potential of OpenAirInterface as the Private LTE. Mai 2018. – https://goo.gl/3LGVXuTest.; Alba, A. M.; Basta, A.; Velasquez, J. H. G.; Kellerer, W.: A Realistic Coordinated Scheduling Scheme for the Next-Generation RAN. En: 2018 IEEE Global Communications Conference (GLOBECOM), 2018. – ISSN 2576–6813, p. 1–7.; Aldaeabool, S. R.; Abbod, M. F.: Reducing power consumption by dynamic BBUsRRHs allocation in C-RAN. En: 2017 25th Telecommunication Forum (TELFOR), 2017, p. 1–4.; Software alliance, 5G O.: 5th OAI General Workshop: Status and Objectives for 2018-2019. Januar 2018. – https://goo.gl/wyauqATest.; Alliance, O. S.: OpenAirInterface5G master repository. 2020. https://gitlab.eurecom.fr/oai/openairinterface5gTest.; Alliance, O. S.: OpenAirInterface5G master large scale emulations repository. 2020. https://gitlab.eurecom.fr/oai/openairinterface5g/tree/master_large_scale_emulationsTest; Alliance, OpenAirInterface S.: OpenAirInterface. 2020. http://www.openairinterface.orgTest.; Alliance, OpenAirInterface S.: OpenAirInterface5G large scale simulations repository. 2020. https://gitlab.eurecom.fr/oai/openairinterface5g/tree/large_scale_simulationsTest.; Anand, A.; de Veciana, G.: Resource Allocation and HARQ Optimization for URLLC Traffic in 5G Wireless Networks. En: IEEE Journal on Selected Areas in Communications 36 (2018), Nov, Nr. 11, p. 2411–2421.; Anouar, Hicham; Bonnet, Christian; Camara ˆ , Daniel; Filali, Fethi; Knopp, Raymond: An Overview of OpenAirInterface Wireless Network Emulation Methodology. En: SIGMETRICS Perform. Eval. Rev. 36 (2008), August, Nr. 2, p. 90–94. – ISSN 0163–5999.; Ariza Vesga, L. F.: Box-Muller and Ziggurat optimized algorithms using SIMD instructions. 2020. https://github.com/lfarizav/pseudorandomnumbergeneratorsTest.; Ariza Vesga, L. F.: NSGA-III: A Fast Non-Dominated Sorting Genetic Algorithm Extension to Solve Many-Objective Problems. 2020. https://github.com/lfarizav/NSGA-IIITest.; Ariza Vesga, L. F.: NSGA-III: A Fast Non-Dominated Sorting Genetic Algorithm Extension to Solve Many-Objective Problems. 2020. https://ieee-dataport.org/documents/nsga-iiiTest.; Ariza Vesga, L. F.; Knopp, R.; Garzon, S. E.: Real-time Emulation Methodologies for Centralized Radio Access Networks. En: 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019, p. 1–5.; Ariza Vesga, Luis F.: A basic Genetic Algorithm. 2020. https://github.com/lfarizav/geneticalgorithmTest.; Ariza Vesga, Luis F.: Emulacion de redes 5G. 2020. https://escueladeverano.javerianaeducacioncontinua.com/redes-5gTest.; Bader, J.; Zitzler, E.: HypE: An Algorithm for Fast Hypervolume-Based ManyObjective Optimization. En: Evolutionary Computation 19 (2011), March, Nr. 1, p. 45–76. – ISSN 1063–6560.; Bai, Jiasong; Bi, Jun; Kuang, Peng; Fan, Chengze; Zhou, Yu; Zhang, Cheng: NS4: Enabling Programmable Data Plane Simulation. En: Proceedings of the Symposium on SDN Research. New York, NY, USA : ACM, 2018 (SOSR ’18). – ISBN 978–1–4503–5664–0, p. 12:1–12:7.; Bi, Xiaojun; Wang, Chao: An improved NSGA-III algorithm based on elimination operator for many-objective optimization. En: Memetic Computing 9 (2017), Dec, Nr. 4, p. 361–383. – ISSN 1865–9292.; Bilel, Ben R.; Navid, Nikaein; Raymond, Knopp; Christian, Bonnet: OpenAirInterface Large-scale Wireless Emulation Platform and Methodology. En: Proceedings of the 6th ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks. New York, NY, USA : ACM, 2011 (PM2HW2N’11). – ISBN 978–1–4503–0902–8, p. 109–112.; Blank, J.; Deb, K.: pymoo: Multi-objective Optimization in Python. En: IEEE Access (2020), p. 1–1.; Blank, Julian; Deb, Kalyanmoy; Roy, Proteek C.: Investigating the Normalization Procedure of NSGA-III. En: Deb, Kalyanmoy (Ed.); Goodman, Erik (Ed.); Coello Coello, Carlos A. (Ed.); Klamroth, Kathrin (Ed.); Miettinen, Kaisa (Ed.); Mostaghim, Sanaz (Ed.); Reed, Patrick (Ed.): Evolutionary Multi-Criterion Optimization. Cham : Springer International Publishing, 2019. – ISBN 978–3–030– 12598–1, p. 229–240.; Bloomerg: Keysight, Qualcomm Collaborate to Obtain Industry-First GCF Validation of 5G Radio Frequency (RF) Demodulation and Radio. 2020. – https://www.bloomberg.com/press-releases/2019-07-25/keysightqualcomm-collaborate-to-obtainTest industry-first-gcf-validation-of-5g-radio-frequency-rfdemodulation-and-radio.; Box, G. E. P.; Muller, Mervin E.: A Note on the Generation of Random Normal Deviates. En: Ann. Math. Statist. 29 (1958), 06, Nr. 2, p. 610–611. https://doi.org/10.1214/aoms/1177706645Test.; Buzzi, S.; I, C.; Klein, T. E.; Poor, H. V.; Yang, C.; Zappone, A.: A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead. En: IEEE Journal on Selected Areas in Communications 34 (2016), April, Nr. 4, p. 697–709.; Centre Tecnologic de Telecomunicacions de Catalunya: 5G-LENA Simulator. 2020. – https://5g-lena.cttc.esTest.; Chang, C.; Nikaein, N.; Arouk, O.; Katsalis, K.; Ksentini, A.; Turletti, T.; Samdanis, K.: Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs. En: IEEE Communications Magazine 56 (2018), August, Nr. 8, p. 70–77.; Chang, Chia-Yu; Nikaein, Navid; Knopp, Raymond; Spyropoulos, Thrasyvoulos; Kumar, Sandeep: FlexCRAN: A flexible functional split framework over ethernet fronthaul in Cloud-RAN. En: ICC 2017, IEEE International Conference on Communications, May 21-25, 2017, Paris, France. Paris, FRANCE, 05 2017. http://www.eurecom.fr/publication/5155Test.; Checko, A.; Christiansen, H. L.; Yan, Y.; Scolari, L.; Kardaras, G.; Berger, M. S.; Dittmann, L.: Cloud RAN for Mobile Networks ”A Technology Overview. En: IEEE Communications Surveys Tutorials 17 (2015), Firstquarter, Nr. 1, p. 405–426.; Chiang, Tsung-Che; Collaborators: nsga3cpp: A C++ implementation of NSGAIII. 2014. http://web.ntnu.edu.twTest/ tcchiang/publications/nsga3cpp/nsga3cpp.htm.; Cifuentes, Valerie: Implementación 5G no estará antes de 2024: Ignacio Román, presidente Avantel. 2020. – https://www.larepublica.co/empresas/implementacion5g-no-estara-antes-de-2024-ignacio-roman-presidente-avantel-2818352Test.; Cisco: open-nFAPI. Januar 2018. – https://github.com/cisco/open-nFAPITest.; de Colombia, Universidad-Catolica: Evento IEEE zona centro de la Universidad Catolica de Colombia. 2020. – https://www.ticketcode.co/eventos/zona-centro-univcatolica-de-colombiaTest.; Communications, Spirent: Solutions for 5G. Januar 2018. – https://www.spirent.com/Solutions/5G-Network-TestingTest.; Consorzio Nazionale Interuniversitario per le Telecomunicazioni: D3.1 Initial report on Data Plane Programmability and infrastructure components. 2018. – https://www.5g-picture-project.eu/download/5g-pictureTest d31.pdf.; COSMOS: Cloud Enhanced Open Software Defined Mobile Wireless Testbed for CityScale Deployment. 2020. – https://cosmos-lab.orgTest.; Costanzo, S.; Fajjari, I.; Aitsaadi, N.; Langar, R.: A network slicing prototype for a flexible cloud radio access network. En: 2018 15th IEEE Annual Consumer Communications Networking Conference (CCNC), 2018. – ISSN 2331–9860, p. 1–4.; CPRI. Specification Overview. Januar 2020.; Das, Indraneel; Dennis, J. E.: Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems. En: SIAM J. on Optimization 8 (1998), Marz, Nr. 3, p. 631–657. – http://dx.doi.org/10.1137/S1052623496307510Test. – ISSN 1052–6234.; Deb, K.; Jain, H.: An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. En: IEEE Transactions on Evolutionary Computation 18 (2014), Aug, Nr. 4, p. 577–601. – ISSN 1089–778X.; Pratap, A.; Agarwal, S.; Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. En: IEEE Transactions on Evolutionary Computation 6 (2002), April, Nr. 2, p. 182–197. – ISSN 1089–778X.; Deb, Kalyanmoy: An introduction to genetic algorithms. En: Sadhana 24 (1999), Aug, Nr. 4, p. 293–315. – ISSN 0973–7677.; In: Deb, Kalyanmoy; Thiele, Lothar; Laumanns, Marco; Zitzler, Eckart: Scalable Test Problems for Evolutionary Multiobjective Optimization. London : Springer London, 2005, p. 105–145. – ISBN 978–1–84628–137–2.; Dini, P.; Miozzo, M.; Bui, N.; Baldo, N.: A Model to Analyze the Energy Savings of Base Station Sleep Mode in LTE HetNets. En: 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013, p. 1375–1380.; Dugan, Jon; Elliott, Seth; Mah, Bruce A.; Poskanzer, Jeff; Prabhu, Kaustubh: iPerf - The ultimate speed test tool for TCP, UDP and SCTP. 2020. https://iperf.frTest.; ETSI: Joint ETSI - OSA Workshop: Open Implementations and Standardization. 2018. – https://www.etsi.org/news-events/events/1319-etsi-osa-workshopTest.; EURECOM: GRADUATE SCHOOL AND RESEARCH CENTER IN DIGITAL SCIENCES. 2020. – http://www.eurecom.fr/en/people/ariza-vesga-luis-felipeTest.; Feng, L.; Zhao, P.; Zhou, F.; Yin, M.; Yu, P.; Li, W.; Qiu, X.: Resource Allocation for 5G D2D Multicast Content Sharing in Social-Aware Cellular Networks. En: IEEE Communications Magazine 56 (2018), March, Nr. 3, p. 112–118.; Feng, M.; Mao, S.; Jiang, T.: Base Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges. En: IEEE Wireless Communications 24 (2017), Aug, Nr. 4, p. 46–54.; Fonseca, Carlos M.; Paquete, Luís; Lopez-Ibáñez , Manuel: An improved dimension-sweep algorithm for the hypervolume indicator. En: Proceedings of the 2006 Congress on Evolutionary Computation (CEC 2006). Piscataway, NJ : IEEE Press, Juli 2006, p. 1157–1163.; Fraser, A. S.: Simulation of Genetic Systems by Automatic Digital Computers II. Effects of Linkage on Rates of Advance Under Selection. En: Australian Journal of Biological Sciences 10 (1957), December, Nr. 4, p. 492 –500.; G, D. G.; Yanikomeroglu, H.; Garcia-Lozano, M.; Boqué , S. R.: A novel multiobjective framework for cell switch-off in dense cellular networks. En: 2014 IEEE International Conference on Communications (ICC), 2014, p. 2641–2647.; Giannone, F.; Gupta, H.; Kondepu, K.; Manicone, D.; Franklin, A.; Castoldi, P.; Valcarenghi, L.: Impact of RAN Virtualization on Fronthaul Latency Budget: An Experimental Evaluation. En: 2017 IEEE Globecom Workshops (GC Wkshps), 2017, p. 1–5.; GNU Radio: About GNU Radio. 2020. – https://www.gnuradio.org/aboutTest.; Goldsmith, Andrea: Wireless Communications. New York, NY, USA : Cambridge University Press, 2005. – ISBN 0521837162.; González , D. G.; Hamalainen , J.; García-Lozano , M.; Senarath, G.: A Novel Multiobjective Cell Switch-Off Framework for Cellular Networks. En: IEEE Access 4 (2016), p. 7883–7898.; ] Guo, H.; Wang, K.; Ji, H.; Leung, V. C. M.: Energy saving in C-RAN based on BBU switching scheme. En: 2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), 2016, p. 44–49.; Habibi, M. A.; Nasimi, M.; Han, B.; Schotten, H. D.: A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System. En: IEEE Access 7 (2019), p. 70371–70421.; Halabian, H.: Optimal Distributed Resource Allocation in 5G Virtualized Networks. En: 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2019, p. 28–35.; Han, F.; Zhao, S.; Zhang, L.; Wu, J.: Survey of Strategies for Switching Off Base Stations in Heterogeneous Networks for Greener 5G Systems. En: IEEE Access 4 (2016), p. 4959–4973.; Holland, John H.: Adaptation in Natural and Artificial Systems. Ann Arbor, MI : University of Michigan Press, 1975. – second edition, 1992.; Hossain, Md. F.; Mahin, Ayman U.; Debnath, Topojit; Mosharrof, Farjana B.; Islam, Khondoker Z.: Recent research in cloud radio access network (C-RAN) for 5G cellular systems - A survey. En: Journal of Network and Computer Applications 139 (2019), p. 31 – 48. – ISSN 1084–8045.; Rowell, C.; Han, S.; Xu, Z.; Li, G.; Pan, Z.: Toward green and soft: a 5G perspective. En: IEEE Communications Magazine 52 (2014), February, Nr. 2, p. 66–73. – ISSN 0163–6804.; In: I, Chih-Lin; Huang, Jinri; Yuan, Yannan; Ma, Shijia: 5G RAN Architecture: C-RAN with NGFI. Cham : Springer International Publishing, 2017, p. 431–455. – ISBN 978–3–319–34208–5.; Iardella, N.; Nardini, G.; Stea, G.; Virdis, A.; Frangioni, A.; Galli, L.; Sabella, D.; Mauro, F.; Dell’Aera, G.; Caretti, M.: Flexible dynamic coordinated scheduling in virtual-RAN deployments. En: 2017 IEEE International Conference on Communications Workshops (ICC Workshops), 2017. – ISSN 2474– 9133, p. 126–131.; Caretti, M.: Flexible dynamic coordinated scheduling in virtual-RAN deployments. En: 2017 IEEE International Conference on Communications Workshops (ICC Workshops), 2017, p. 126–131.; Caretti, M.: A testbed for flexible and energy-efficient resource management with virtualized LTE-A nodes. En: 2017 Fifth International Workshop on Cloud Technologies and Energy Efficiency in Mobile Communication Networks (CLEEN), 2017, p. 1–6.; ] Iardella, Niccolo; Nardini, Giovanni; Stea, Giovanni; Sabella, Dario: Coordinated scheduling in a Virtual-RAN prototype with OpenAirInterface, 2016.; Inzillo, V.; Quintana, A. A.; De Rango, F.; Zampogna, L.: Design and Implementation of New Planar Massive MIMO Systems for 5G Wireless Networks Extending Omnet++ Simulator. En: 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real-Time Applications (DS-RT), 2018, p. 1–8.; Ishibuchi, H.; Imada, R.; Setoguchi, Y.; Nojima, Y.: Performance comparison of NSGA-II and NSGA-III on various many-objective test problems. En: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016, p. 3045–3052.; ITU: Transport network support of IMT-2020/5G / TELECOMMUNICATION STANDARDIZATION SECTOR OF ITU. 2018. – Technical Report. https://www.itu.int/dms_pub/itu-t/opb/tut/T-TUT-HOME-2018-MSW-E.docxTest.; Jain, H.; Deb, K.: An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach. En: IEEE Transactions on Evolutionary Computation 18 (2014), Aug, Nr. 4, p. 602–622. – ISSN 1089–778X.; Jain, Himanshu; Deb, Kalyanmoy: An Improved Adaptive Approach for Elitist Nondominated Sorting Genetic Algorithm for Many-Objective Optimization. En: Purshouse, Robin C. (Ed.); Fleming, Peter J. (Ed.); Fonseca, Carlos M. (Ed.); Greco, Salvatore (Ed.); Shaw, Jane (Ed.): Evolutionary Multi-Criterion Optimization. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. – ISBN 978–3–642–37140–0, p. 307–321.; Jiang, S.; Yang, S.: A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization. En: IEEE Transactions on Evolutionary Computation 21 (2017), June, Nr. 3, p. 329–346. – ISSN 1089– 778X.; jMetal: Metaheuristic algorithms in Java. 2018. – http://jmetal.sourceforge.netTest/; Kaltenberger, F.; Latif, I.; Knopp, R.: On scalability, robustness and accuracy of physical layer abstraction for large-scale system-level evaluations of LTE networks. En: 2013 Asilomar Conference on Signals, Systems and Computers, 2013, p. 1644–1648.; Kaltenberger, Florian.: Low-Complexity Real-Time Signal Processing for Wireless Communications. Vienna, Austria, Vienna University of Technology, Tesis de Grado, May 2007.; Keysight: Keysight’s 5G Test Solutions and Qualcomm Snapdragon X55 5G Modem Establish Mobile Industry’s First Announced 5G NR Data Call in FDD Mode. 2020. https://about.keysight.com/en/newsroom/pr/2019/01apr-nr19054.shtmlTest.; Kiran, P.; Jibukumar, M. G.; Premkumar, C. V.: Resource allocation optimization in LTE-A/5G networks using big data analytics. En: 2016 International Conference on Information Networking (ICOIN), 2016, p. 254–259.; Knopp, Raymond: OpenAirInterface L1/L2 procedures. 2018. https://gitlab.eurecom.fr/oai/openairinterface5g/blob/master/targets/DOCS/oai_L1_L2_procedures.pdfTest.; Li, K.; Wang, R.; Zhang, T.; Ishibuchi, H.: Evolutionary Many-Objective Optimization: A Comparative Study of the State-of-the-Art. En: IEEE Access 6 (2018), p. 26194–26214. – ISSN 2169–3536.; Li, Miqing; Yao, Xin: What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation. En: CoRR abs/1709.02679 (2017).; Line, Larsen; Michael, Berger; Henrik, Christiansen: Fronthaul for Cloud-RAN Enabling Network Slicing in 5G Mobile Networks. En: Hindawi: Wireless Communications and Mobile Computing (2018), Nr. 4860212, p. 1–8.; Luis, Ariza:masterlargescaleemulations repository.January 2020. https://gitlab.eurecom.fr/oai/openairinterface5gTest /tree/master_large_scale_emulations.; Luna, F.; Luque-Baena, R. M.; Martínez, J.; Valenzuela-Valdés, J. F.; Padilla, P.: Addressing the 5G Cell Switch-off Problem with a Multi-objective Cellular Genetic Algorithm. En: 2018 IEEE 5G World Forum (5GWF), 2018, p. 422– 426.; Markets-Insider: Keysight Technologies, Qualcomm Extend 5G Collaboration to Accelerate Commercialization of Dynamic Spectrum Sharing Technology. 2020. – https://markets.businessinsider.com/news/stocks/keysight-technologiesqualcomm-extend-5g-collaboration-to-accelerate-commercialization-of-dynamicspectrum-sharing-technology-1028556781Test.; Marotta, Antonio; D'andreagiovanni, Fabio; Kassler, Andreas; Zola, Enrica: On the energy cost of robustness for green virtual network function placement in 5G virtualized infrastructures. En: Computer Networks 125 (2017), p. 64 – 75. – Softwarization and Caching in NGN. – ISSN 1389–1286.; Marsaglia, George; Tsang, Wai W.: The Ziggurat Method for Generating Random Variables. En: Journal of Statistical Software, Articles 5 (2000), Nr. 8, p. 1–7. https://www.jstatsoft.org/v005/i08Test. – ISSN 1548–7660.; Marti, Luis: An implementation of NSGA-III in Python. 2016. – https://github.com/lmarti/nsgaiiiTest.; Matlab: 5G toolbox. September 2020. – https://www.mathworks.com/products/5g.htmlTest.; Matlab: Matlab. 2020. – https://www.mathworks.comTest.; Mosaic5G. O-RAN Alliance Overview. Oktober 2020.; Mohamed Amine DRIDI, Ralf K.: Prototyping with OAI: C-RAN CoMP use-case. May 2018. – https://goo.gl/49xJ6GTest.; Mosaic5G. Leveraging an Ecosystem of 5G Services. 2018.; Galli, L.; Sabella, D.; Dell’Aera, G. M.: Scalability and energy efficiency of Coordinated Scheduling in cellular networks towards 5G. En: 2017 Fifth International Workshop on Cloud Technologies and Energy Efficiency in Mobile Communication Networks (CLEEN), 2017, p. 1–6.; Stea, G.: Minimizing Power Consumption in Virtualized Cellular Networks. En: 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 2018. – ISSN 2577–2465, p. 1–6.; Networks, Polaris: NetTest 5G Network Emulators. Januar 2018. – http://www.polarisnetworks.net/5g-network-emulators.htmlTest.; NGFI: White paper of next generation fronthaul interface / China Mobile Research Institute. 2015. – Technical Report. Version 1.0.; NGMN: Further Study on Critical C-RAN Technologies / Next Generation Mobile Network (NGMN). 2015. – Technical Report. Version 1.0.; Nokia. China Mobile and Nokia launch industry-first commercially ready 5G hybrid indoor radio solution. 2018.; Nokia: ANTEL and Nokia make the first 5G call on a commercial network in Latin America. 2020. – https://www.nokia.com/about-us/news/releases/2019/04/10/anteland-nokia-make-the-first-5g-call-on-a-commercial-network-in-latin-americaTest.; Nsnam: The Network Simulator - ns-2. 2020. – https://www.isi.edu/nsnam/nsTest.; Nsnam: NS3. 2020. – https://www.nsnam.orgTest.; O-RAN. Leading the industry towards open, interoperable interfaces and RAN virtualization. September 2020.; OMNeT++: OMNeT++: Discrete Event Simulator. Mai 2020. – https://omnetpp.orgTest/.; OpenAirInterface: Building OAI executables (Trunk and next release). 2020. – https://gitlab.eurecom.fr/oai/openairinterface5g/wikis/AutoBuildTest.; OpenAirInterface: GRADOS DE POST MASTER. 2020. https://www.masterstudies.co/universidades/Francia/EURECOMTest.; OpenAirInterface: Large Scale Network Emulations. 2020. – https://www.openairinterface.org/?page_id=791Test.; OpenAirInterface: OPENAIR-CN: An implementation of the Evolved Packet Core network. September 2020. – https://github.com/OPENAIRINTERFACE/openair-cnTest.; OpenAirInterface: Qualcomm Technologies Inc. joins the board of the OpenAirInterface Software Alliance. 2020. – https://www.openairinterface.org/?news=qualcomm-technologies-inc-joins-theboard-of-the-openairinterface-software-allianceTest.; OSA: Members. September 2020. – https://www.openairinterface.org/?page_id=83Test; OSA: OpenAirInterface: 5G software alliance for democratising wireless innovation. September 2020. – https://www.openairinterface.orgTest.; Pietila, Anna-Kaarina: China Mobile verifies Cloud RAN benefits to pave the way to 5G. Januar 2018. – https://goo.gl/nA8Wc3Test.; POWDER: The Platform for Open Wireless Data-driven Experimental Research (POWDER). 2020. – https://powderwireless.netTest.; ] Purshouse, R. C.; Fleming, P. J.: On the Evolutionary Optimization of Many Conflicting Objectives. En: IEEE Transactions on Evolutionary Computation 11 (2007), Dec, Nr. 6, p. 770–784. – ISSN 1089–778X.; Q.Zhang, S.Z. Zhao P.N. Suganthan W. L.; Tiwari, S.: Multiobjective optimization test instances for the CEC-2009 special session and competition. En: Nanyang Technol. Univ., Singapore, Tech (2008). – http://www.nyu.edu.sg/home/epnsuganTest.; R. Knopp, C. Bonnet F. Kaltenberger A. Ksentini R. G.: Prototyping of Next Generation Fronthaul Interfaces (NGFI) using OpenAirInterface / EURECOM. 2017. – Technical Report. White paper.; Redcedartech: HEEDS Smashes Barriers on Multi-Objective Design Studies. 2015. – https://redcedartech.com/newsletters/HEEDSTest News-Mar15.htm.; Riverbed: Riverbed modeler. Mai 2020. – https://www.riverbed.com/mx/products/steelcentral/steelcentral-riverbedmodeler.htmlTest.; Rohde-schwarz: MWC 2018: Rohde Schwarz to present cutting-edge TM equipment for 5G, LTE-A Pro, IoT and IP security. Mai 2017. – https://www.rohdeschwarz.com/es/acerca-de/noticias-y-prensa/details/rohdeschwarz-en-laprensa/comunicados-de-prensa-paginas-de-detalles/comunicados-de-prensa-pagina-dedetallesTest 229356-527191.html.; Romdhanne, Bilel B.: Large-scale network simulation over heterogeneous computing architecture. 46, Rue Barrault - 75634 Paris, France, Telecom ParisTech, Tesis de Grado, December 2013.; Scalable-Network-Technologies: QualNet Network Simulator Software. May 2020. – https://web.scalable-networks.com/qualnet-network-simulator-softwareTest.; SCF: Small cell virtualization functional splits and use cases / Small Cell Forum (SCF). 2016. – Technical Report. Relesase 7.0.; Shajaiah, Haya; Abdelhadi, Ahmed; Clancy, Charles: An Efficient Multi-carrier Resource Allocation with User Discrimination Framework for 5G Wireless Systems. En: International Journal of Wireless Information Networks 22 (2015), Dec, Nr. 4, p. 345–356. – ISSN 1572–8129.; Sigwele, Tshiamo; Alam, Atm S.; Pillai, Prashant; Hu, Yim F.: Energy-efficient cloud radio access networks by cloud based workload consolidation for 5G. En: Journal of Network and Computer Applications 78 (2017), p. 1 – 8. – ISSN 1084–8045.; Slim Bechikh, Lamjed Ben S.: Many-objective Optimization Using Evolutionary Algorithms:. Vol. 20: A Survey in Recent Advances in Evolutionary Multi-objective Optimization. New York, NY : Springer, 2017. – http://dx.doi.org/8843/10.1007/978-3-319-42978-6Test.; Speedtest: OOKLA 5G Map. 2020. – https://www.speedtest.net/ookla-5g-mapTest.; Su, R.; Zhang, D.; Venkatesan, R.; Gong, Z.; Li, C.; Ding, F.; Jiang, F.; Zhu, Z.: Resource Allocation for Network Slicing in 5G Telecommunication Networks: A Survey of Principles and Models. En: IEEE Network (2019), p. 1–8.; TCL, Syrtem: 5G New Radio in OpenAirInterface. Januar 2018. – https://goo.gl/VuK7P5Test.; Technologies, Keysight: Keysight 5G Network Emulation Solutions Portfolio. Januar 2018. – https://about.keysight.com/en/newsroom/images/5G-ProtocolTest.; Telecompaper: TIM Brasil launches 5G pilot in Florianopolis. 2020. – https://www.telecompaper.com/news/tim-brasil-launches-5g-pilot-in-florianopolisTest–1298578.; Tetcos: 5G NR mmWave. 2020. – https://www.tetcos.com/5g.htmlTest.; Tetcos: NetSim Academic. Mai 2020. – https://www.tetcos.com/netsim-acad.htmlTest.; Thomas, Laurent: 4G and 5G reference software. 2020. – https://open-cells.comTest.; Tian, Ye; Cheng, Ran; Zhang, Xingyi; Jin, Yaochu: PlatEMO: A MATLAB platform for evolutionary multi-objective optimization. En: IEEE Computational Intelligence Magazine 12 (2017), Nr. 4, p. 73–87.; Valid8: 5G Network Emulator. Januar 2018. – https://www.valid8.com/solutions/5gnetwork-emulator-copyTest.; Varga, András; Hornig, Rudolf: An Overview of the OMNeT++ Simulation Environment. En: Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops. ICST, Brussels, Belgium, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2008 (Simutools ’08). – ISBN 978–963–9799–20–2, p. 60:1–60:10.; VIAVI: VIAVI delivers industry-first 5G network test solution. Mai 2014. – https://cobhamwireless.com/validation/press-and-events/press-releases/cobhamdelivers-industry-first-5g-networkTest-test-solution.; Sabella, D.: Performance Analysis of OpenAirInterface System Emulation. En: 2015 3rd International Conference on Future Internet of Things and Cloud, 2015, p. 662–669.; Vora, A.; k. D. Kang: Effective 5G Wireless Downlink Scheduling and Resource Allocation in Cyber-Physical Systems. En: MDPI 6 (2018), p. 1–20.; Peng, Y.; Qu, H.; Zhao, H.; Wu, B.: OpenAirInterface-an effective emulation platform for LTE and LTE-Advanced. En: 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN), 2014. – ISSN 2165–8528, p. 127–132.; Wireless, NYU: MilliLabs: Enabling 5G millimeter Wave Technology. Mai 2017. – http://www.millilabs.comTest.; Wireless, NYU: NYU WIRELESS Unveils Emulator For 5G Millimeter Wave Systems. Mai 2017. – https://wireless.engineering.nyu.edu/nyu-wireless-unveils-emulatorfor-5g-millimeter-wave-systemsTest.; WorldTimeZone: 5G commercial network world coverage map: 5G field testing / 5G trials / 5G research / 5G development by country (June 15, 2019). 2020. – https://www.worldtimezone.com/5g.htmlTest.; Xu, F.; Li, Y.; Wang, H.; Zhang, P.; Jin, D.: Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment. En: IEEE/ACM Transactions on Networking 25 (2017), April, Nr. 2, p. 1147–1161.; Xue, T.; Qiu, L.; Li, X.: Resource Allocation for Massive M2M Communications in SCMA Network. En: 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), 2016, p. 1–5.; Yarpiz: NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version. 2018. – http://yarpiz.com/456/ypea126-nsga3Test.; Yip, Milo: Normally Distributed Random Number Generator Benchmark. 2015. – https://github.com/miloyip/normaldist-benchmarkTest.; Yuko, Akiyama. Activity of Fujitsu in OAI. Januar 2020.; Zhang, Q.; Li, H.: MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. En: IEEE Transactions on Evolutionary Computation 11 (2007), Dec, Nr. 6, p. 712–731. – ISSN 1089–778X.; Zhang, X.; Tian, Y.; Jin, Y.: A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization. En: IEEE Transactions on Evolutionary Computation 19 (2015), Dec, Nr. 6, p. 761–776. – ISSN 1089–778X.; https://repositorio.unal.edu.co/handle/unal/77582Test