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Wi-Fi offloading on mobile data communication in the office, the measurement study

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Warianty tytułu
PL
Odciążenie Wi-Fi na mobilną transmisję danych w biurze, badanie pomiarowe
Języki publikacji
EN
Abstrakty
EN
Based on gender grouping, internet use in the office is 3.82 hours per day for women and 2.53 hours per day for men. The amount of data accessed by female users is 255.61 MB, while for males, it is smaller at 221.35 MB. The research results show that the average user of offloading Wi-Fi is a Medium User. In the Male group, 2.53% of users are classified as Extreme users with an offloading capacity of more than 30 GB per month. The average amount of temporal coverage of Wi-Fi use in offices for the Female group is 14.97%, and for the male group is 14.88%.
PL
Biorąc pod uwagę podział na płeć, korzystanie z internetu w biurze wynosi 3,82 godziny dziennie dla kobiet i 2,53 godziny dziennie dla mężczyzn. Ilość danych dostępnych dla kobiet wynosi 255,61 MB, podczas gdy dla mężczyzn jest mniejsza i wynosi 221,35 MB. Wyniki badań pokazują, że przeciętny użytkownik odciążający Wi-Fi to użytkownik średni. W grupie mężczyzn 2,53% użytkowników jest sklasyfikowanych jako użytkownicy ekstremalni z możliwością odciążenia ponad 30 GB miesięcznie. Średni czasowy zasięg korzystania z Wi-Fi w biurach dla grupy kobiet wynosi 14,97%, a dla grupy mężczyzn 14,88%.
Rocznik
Strony
165--170
Opis fizyczny
Bibliogr. 37 poz., rys., tab.
Twórcy
autor
  • Universitas Nasional, Indonesia & Universiti Teknikal Malaysia Melaka (UTeM)
  • Universiti Teknikal Malaysia Melaka (UTeM)
  • Universiti Teknikal Malaysia Melaka (UTeM)
Bibliografia
  • [1] Cisco, “Cisco Visual Networking Index: Forecast and Trends, 2017–2022 White Paper,” Cisco Forecast Methodol., pp. 2017– 2022, 2019, [Online]. Available: http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/n s537/ns705/ns827/white_paper_c11- 481360_ns827_Networking_Solutions_White_Paper.html.
  • [2] APJJI, “Profil Internet Indonesia 2022,” Asos. Penyelenggara Jasa Internet Indones., no. June, 2022, [Online]. Available: http://apjii.or.id/v2/upload/Laporan/Profil Internet Indonesia 2012 %28INDONESIA%29.pdf.
  • [3] APJII, “Laporan survei internet APJII 2019 – 2020,” Asos. Penyelenggara Jasa Internet Indones., vol. 2020, pp. 1–146, 2020, [Online]. Available: https://apjii.or.id/survei.
  • [4] N. A. Wahab, A. A. M. Isa, M. R. Ahmad, and R. Ruliyanta, “Augmenting mobile data networks using WiFi offloading: A measurement study,” J. Telecommun. Electron. Comput. Eng., vol. 10, no. 2, pp. 119–123, 2018.
  • [5] D. Suh, H. Ko, and S. Pack, “Efficiency Analysis of WiFi Offloading Techniques,” IEEE Trans. Veh. Technol., vol. 65, no. 5, pp. 3813–3817, 2016, doi: 10.1109/TVT.2015.2437325.
  • [6] Y. He, M. Chen, B. Ge, and M. Guizani, On WiFi Offloading in Heterogeneous Networks: Various Incentives and Trade-Off Strategies, vol. 18, no. 4. 2016.
  • [7] Cisco Visual Networking Index, “Global Mobile Data Traffic Forecast Update, 2016-2021,” Cisco Vis. Netw. Cisco, pp. 2016–2021, 2017, [Online]. Available: https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11- 520862.pdf%0Ahttps://www.cisco.com/c/en/us/solutions/collate ral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-5208.
  • [8] O. Galinina, A. Pyattaev, S. Andreev, M. Dohler, and Y. Koucheryavy, “5G multi-RAT LTE-WiFi ultra-dense small cells: Performance dynamics, architecture, and trends,” IEEE J. Sel. Areas Commun., vol. 33, no. 6, pp. 1224–1240, 2015, doi: 10.1109/JSAC.2015.2417016.
  • [9] S. Deb, P. Monogioudis, J. Miernik, and J. P. Seymour, “Algorithms for enhanced inter-cell interference coordination (eICIC) in LTE HetNets,” IEEE/ACM Trans. Netw., vol. 22, no. 1, pp. 137–150, 2014, doi: 10.1109/TNET.2013.2246820.
  • [10] H. Elsawy and E. Hossain, “Two-tier hetnets with cognitive femtocells: Downlink performance modeling and analysis in a multichannel environment,” IEEE Trans. Mob. Comput., vol. 13, no. 3, pp. 649–663, 2014, doi: 10.1109/TMC.2013.36.
  • [11] N. A. Wahab, M. R. Ahmad, A. A. M. Isa, R. F. Malik, and M. R. M. Esa, “WiFi Temporal Coverage: Analysis of Socio-Economics Influences in Malaysia,” IOP Conf. Ser. Earth Environ. Sci., vol. 228, no. 1, 2019, doi: 10.1088/1755- 1315/228/1/012007.
  • [12] J. G. Andrews et al., “What will 5G be?,” IEEE J. Sel. Areas Commun., vol. 32, no. 6, pp. 1065–1082, 2014, doi: 10.1109/JSAC.2014.2328098.
  • [13] and A. A. Ekram Hossain, Mehdi Rasti, Hina Tabassum, “Evolution Toward 5G Multi -Tier Cellular W Ireless N Etworks : a N I Nterference M Anagement P Erspective,” IEEE Wirel. Commun., Vol. 21, no. 3, pp. 118-127, Jun. 2014.]., no. June, pp. 118–127, 2014.
  • [14] K. Lee, J. Lee, Y. Yi, I. Rhee, and S. Chong, “Mobile data offloading: How much can wifi deliver?,” IEEE/ACM Trans. Netw., vol. 21, no. 2, pp. 536–550, 2013, doi: 10.1109/TNET.2012.2218122.
  • [15] R. Ruliyanta, M. Riduan Ahmad, and A. A. Md Isa, “Adaptive Wi-Fi offloading schemes in heterogeneous networks, the survey,” Indones. J. Electr. Eng. Comput. Sci., vol. 28, no. 1, p. 254, 2022, doi: 10.11591/ijeecs.v28.i1.pp254-268.
  • [16] S. M. Kala, V. Sathya, K. Dahiya, T. Higashino, and H. Yamaguchi, “Identification and Analysis of Unique Cell Selection Phenomenon in Public Unlicensed Cellular Networks through Machine Learning,” IEEE Access, vol. 10, no. July, pp. 87282–87301, 2022, doi: 10.1109/ACCESS.2022.3199409.
  • [17] I. Fogg, “The independent global standard for measuring real-world mobile network experience The State of Wifi vs Mobile Network Experience as 5G Arrives Report Facts Report Location Sample Period Measurements Unique Devices,” vol. 150, no. November, p. 215, 2018, [Online]. Available: https://www.opensignal.com/sites/opensignal-com/files/data/reports/global/data-2018- 11/state_of_wifi_vs_mobile_opensignal_201811.pdf.
  • [18] R. Ruliyanta, M. R. Ahmad, A. A. Md Isa, V. V. Ronald Repi, L. O. Yasher, and H. Jusuf, “Wifi-6 Antenna Design to Increase Data Traffic Offloading with HFSS and PCAAD Software,” Int. Conf. Electr. Eng. Comput. Sci. Informatics, vol. 2022-Octob, no. October, pp. 441–445, 2022, doi: 10.23919/EECSI56542.2022.9946536.
  • [19] Z. Wang, M. Wang, and W. Nie, “A Monopole UWB Antenna for WIFI 7/Bluetooth and Satellite Communication,” Symmetry (Basel)., vol. 14, no. 9, pp. 1–12, 2022, doi: 10.3390/sym14091929.
  • [20] B. Yang, H. Huang, B. Feng, and L. Deng, “An Omni-directional Antenna with High Gain for WiFi-6 Applications,” ICEICT 2020 - IEEE 3rd Int. Conf. Electron. Inf. Commun. Technol., pp. 711– 713, 2020, doi: 10.1109/ICEICT51264.2020.9334337.
  • [21] R. Ruby, “A snapshot in time: The future in filters for cell phones,” IEEE Microw. Mag., vol. 16, no. 7, pp. 46–59, 2015, doi: 10.1109/MMM.2015.2429513.
  • [22] R. Corputy, M. Marsujitullah, Z. Zainuddin, and S. Rezkyca Maulani, “Web Planning Tower Base Transceiver Station Collective Mobile Telecommunications in Merauke City Based On Geographic Information Systems Using Mapinfo For The Next 10 Years,” E3S Web Conf., vol. 328, p. 02015, 2021, doi: 10.1051/e3sconf/202132802015.
  • [23] K. Lee, A. Member, J. Lee, S. Member, and Y. Yi, “Mobile Data Offloading : How Much Can WiFi Deliver ?,” ACM Conex., vol. 21, no. 2, pp. 536–550, 2010, doi: 10.1145/1921168.1921203.
  • [24] R. Ruliyanta and M. R. Ahmad, “Wifi-6 Antenna Design to Increase Data Traffic Offloading with HFSS and PCAAD Software,” no. October, pp. 441–445, 2022.
  • [25] B. Kharisma, S. Soemitro Remi, F. Hadiyanto, and G. Abdurrahimdzan, “Kebahagiaan Dan Jam Kerja Di Indonesia,” Sosiohumaniora, vol. 22, no. 1, 2020, doi: 10.24198/sosiohumaniora.v22i1.24248.
  • [26] M. B. Glasmacher, “Political Implications of Law in the Formation of Law No. 13 of 2003 concerning Workers Protection in Employment Agreement Specific Time (EAST/PWKT),” J. Law Leg. Reform, vol. 1, no. 3, pp. 517–530, 2020, doi: 10.15294/jllr.v1i3.36643.
  • [27] L. Li and T. T. C. Lin, “Smartphones at Work: A Qualitative Exploration of Psychological Antecedents and Impacts of Work-Related Smartphone Dependency,” Int. J. Qual. Methods, vol. 18, pp. 1–12, 2019, doi: 10.1177/1609406918822240.
  • [28] P. Raveneau et al., “Urban-scale cellular offloading through Wi-Fi access points: A measurement-based case study,” 2015 IEEE 1st Int. Forum Res. Technol. Soc. Ind. RTSI 2015 - Proc., pp. 132–137, 2015, doi: 10.1109/RTSI.2015.7325083.
  • [29] APJII, “Penetrasi & Perilaku Pengguna Internet Indonesia 2017,” Asos. Penyelenggara Jasa Internet Indones., pp. 1–39, 2017.
  • [30] J. Kou, Y. Xiao, and D. Wang, “An economic user-centric WiFi offloading algorithm for heterogeneous network,” Math. Probl. Eng., vol. 2015, 2015, doi: 10.1155/2015/341292.
  • [31] at all. Husnjak, “Data Traffic Offload from Mobile to Wi-Fi Networks: Behavioural Patterns of Smartphone Users,” Wirel. Commun. Mob. Comput., vol. 2018, 2018, doi: 10.1155/2018/2608419.
  • [32] M. Muttaqin, “Internet Usage Behavior of the ICT Young Workforce in the Border Region,” J. Pekommas, vol. 4, no. 1, p. 11, 2019, doi: 10.30818/jpkm.2019.2040102.
  • [33] V. Cisco, “Indonesia - 2021 Forecast Highlights,” pp. 1–5, 2020.
  • [34] A. G. Danastry, T. Kurniawan, U. Indonesia, and J. Barat, “Jurnal Ilmiah Administrasi Publik ( JIAP ) Tata Kelola Kolaboratif pada Penetrasi Jaringan Fixed Broadband di Indonesia,” vol. 7, no. 2, pp. 158–163, 2021.
  • [35] APJII, “Penetrasi & Profil Perilaku Pengguna Internet Indonesia Tahun 2018,” Apjii, p. 51, 2019, [Online]. Available: www.apjii.or.id.
  • [36] D. H. Jayani, “Survei APJII: Sumatra Utara Pengguna Internet Tebesar di Pulau Sumatra,” Https://Databoks.Katadata.Co.Id, p. 2019, 2019, [Online]. Available: https://databoks.katadata.co.id/datapublish/2019/05/16/survei-apjii-sumatra-utara-pengguna-internet-tebesar-di-pulau-sumatra.
  • [37] Presiden Republik Indonesia, “Peraturan Pemerintah Nomor 21 Tahun 2020 tentang Pembatasan Sosial Berskala Besar Dalam Rangka Percepatan Penanganan Coronavirus Disease 2019/COVID-19,” vol. 2019, no. 022868, p. 8, 2020.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5e03c17f-f275-4588-adb0-a79f746601b9
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