An improved path loss model for 5G wireless networks in an enclosed hallway (2024)

Skip Abstract Section

1. 1. Akyildiz IFHan CNie SCombating the distance problem in the millimeter wave and terahertz frequency bandsIEEE Communications Magazine201856610210810.1109/MCOM.2018.1700928Google ScholarCross Ref
2. 2. Oladimeji TKumar PElmezughi MKPath loss measurements and model analysis in an indoor corridor environment at 28 and 38 GHzSensors2022221913310.3390/s22197642Google ScholarCross Ref
3. 3. Gui JDai XDeng XStabilizing transmission capacity in millimeter wave links by Q-learning-based schemeHindawi Mobile Information Systems2020202011710.1155/2020/7607316Google ScholarCross Ref
4. 4. Ahmed BTMasa Campos JLLalueza Mayordomo JMPropagation path loss and materials insertion loss in indoor environment at WiMAX band of 3.3 to 3.6 GHzWireless Personal Communications20126625126010.1007/s11277-011-0335-2Google ScholarCross Ref
5. 5. Swain CMKDas Sproposed prediction framework for improving the accuracy of path loss models of WiMAX networkWireless Personal Communications20211171079110110.1007/s11277-020-07912-zGoogle ScholarDigital Library
6. 6. Gupta AJha RKA survey of 5G network: Architecture and emerging technologiesIEEE Access201531206123210.1109/ACCESS.2015.2461602Google ScholarCross Ref
7. 7. Oladimeji TTKumarOyie PNOpropagation path loss prediction modelling in enclosed environments for 5G networks: A reviewHeliyon2022811610.1016/j.heliyon.2022.e11581Google ScholarCross Ref
8. 8. Al-Samman AMAzmi MHAl-Gumaei YAAl-Hadhrami TRahman TAFazea YAl-Mqdashi AMillimetre wave propagation measurements and characteristics for 5G systemApplied Sciences20201033511710.3390/app10010335Google ScholarCross Ref
9. 9. Al-Gumaei YAAslam NAl-Samman AMAl-Hadhrami TNoordin KFazea YNon-cooperative power control game in D2D underlying networks with variant system conditionsElectronics201981011510.3390/electronics8101113Google ScholarCross Ref
10. 10. Pi ZKhan FAn introduction to millimeter wave mobile broadband systemsIEEE Communications Magizne20114910110710.1109/MCOM.2011.5783993Google ScholarCross Ref
11. 11. Rappaport TSMacCartney GRSamimiSun MKSWideband millimeter waves propagation measurements and channel models for future wireless communication system designIEEE Transactions Communications2015633029305610.1109/TCOMM.2015.2434384Google ScholarCross Ref
12. 12. Lin ZDu XChen HAi BChen ZWu DMillimeter wave propagation modelling and measurements for 5G mobile networkIEEE Wireless Communications2019261727710.1109/MWC.2019.1800035Google ScholarCross Ref
13. 13. Tataria HHaneda KMolisch AFShafiTufvesson MFStandardization of propagation models: 800 MHz to 100 GHz a historical perspectiveInternational Journal of Wireless Information Networks202128112510.1007/s10776-020-00500-9Google ScholarCross Ref
14. 14. 3GPP TR 36.104. (2019). Technical specification of radio access network: Base station radio transmission and receptionGoogle Scholar
15. 15. Molisch AFWireless Communications20112USAWileyGoogle ScholarDigital Library
16. 16. Steele R19921992Pentech PressGoogle Scholar
17. 17. Shafi, M., Tataria, H., Molisch, A.F., Tufvesson, F., & Tunnicliffe, G. (2020). Real-time deployment aspects of c-band and millimeter-wave 5G-NR systems. ICC 2020–2020 IEEE international conference on communications (ICC), 1–7. Doi: DOI: https://doi.org/10.1109/ICC40277.2020.9148902Google ScholarCross Ref
18. 18. ITU-R M.1225, (1997) Guidelines for evaluation of radio transmission, ITURGoogle Scholar
19. 19. Stefanovic MPanic SRSouza RAAReig JRecent advances in RF propagation modelling for 5G systemsHindawi International Journal of Antennas and Propagation201720171510.1155/2017/4701208Google ScholarCross Ref
20. 20. Oyie NOAfullo TJOMeasurements and analysis of large scale path loss model at 14 and 22 GHz in indoor corridorIEEE Access20186172051721410.1109/ACCESS.2018.2802038Google ScholarCross Ref
21. 21. Document RP 151306, 3GPP. (2015). Channel modelling for higher frequency bandsGoogle Scholar
22. 22. METIS Deliverables D1.2. (2017). Initial channel models based on measurements. Accessed November 5, 2017Google Scholar
23. 23. Moraitis NConstantinou Pindoor channel measurements and characterization at 60 GHz for wireless local area network applicationsIEEE Transactions on Antennas and Propagation201452123180318910.1109/TAP.2004.836422Google ScholarCross Ref
24. 24. Elmezughi MKSalih OAfullo TJDuffy KJComparative analysis of major machine-learning based path loss models for enclosed indoor channelsSensors2022221312510.3390/s22134967Google ScholarCross Ref
25. 25. Nguyen CCheema AAA deep neural network-based multi-frequency path loss prediction model from 0.8 GHz to 70 GHzSensors2021211512410.3390/s21155100Google ScholarCross Ref
26. 26. Faruk NPopoola SISurajudeen-Bakinde NTOloyede AAAbdulkarim AOlawoyin LAAli MCalafate CTAtayero AAPath loss predictions in the VHF and UHF bands within urban environments: Experimental investigation of empiricalHeuristics and Geospatial Models IEEE Access20197772937730710.1109/ACCESS.2019.2921411Google ScholarCross Ref
27. 27. Jo HSPark CLee EChoi HKPark JPath loss prediction based on machine learning techniques: Principal component analysis, artificial neural network and gaussian processSensors202020712310.3390/s20071927Google ScholarCross Ref
28. 28. Majed MBRahman TAAziz OAHindia MNHanafi EChannel characterization and path loss modeling in indoor environment at 4.5, 28, and 38 GHz for 5G cellular networksInternational Journal of Antennas and Propagation2018201811410.1155/2018/9142367Google ScholarCross Ref
29. 29. Al-Saman ACheffena MElijah OAl-Gumaei YAAbdul Rahim SKAl-Hadhrami TSurvey of millimeter-wave propagation measurements and models in indoor environmentsElectronics2021101412810.3390/electronics10141653Google ScholarCross Ref
30. 30. Khatun, M., Guo, C., Moro, L., Matolak, D., & Mehrpouyan, H. (2019). Millimeter-wave path loss at 73 GHz in indoor and outdoor airport environments. 2019 IEEE 90th vehicular technology conference (VTC2019-Fall), 1–5. Doi: DOI: https://doi.org/10.1109/VTCFall.2019.8891488Google ScholarCross Ref
31. 31. Cheng, C., Kim, S., & Zajić, A. (2017). Comparison of path loss models for indoor 30 GHz, 140 GHz, and 300 GHz channels. 2017 11th European conference on antennas and propagation (EUCAP), 716–720. Doi: DOI: https://doi.org/10.23919/EuCAP.2017.7928124Google ScholarCross Ref
32. 32. Beauvarlet DVirga KLMeasured characteristics of 30-GHz indoor propagation channels with low-profile directional antennasIEEE Antennas and Wireless Propagation Letters200211879010.1109/LAWP.2002.802553Google ScholarCross Ref
33. 33. Sulyman AINassar ATSamimi MKMacCartney GRRappaport TSAlsanie ARadio propagation path loss models for 5G cellular networks in the 28 GHz and 38 GHz millimeter-wave bandsCommunications Magazine IEEE2014529788610.1109/MCOM.2015.7010549Google ScholarDigital Library
34. 34. Oladimeji TTKumar PElmezughi MKPerformance analysis of improved path loss models for millimeter-wave wireless network channels at 28 GHz and 38 GHzPLoS ONE20231812710.1371/journal.pone.0283005Google ScholarCross Ref
35. 35. Rappaport TSXing YMaccartney GRMolisch AFOverview of millimeter wave communications for a focus on propagation modelsIEEE Transactions on antennas and propagation2017656213623010.1109/TAP.2017.2734243Google ScholarCross Ref
36. 36. Talib, M., Aripin, N. B. M., Othman, N. S. & Sallomi, A. H. (2022). Comprehensive overview on millimeter wave communications for 5G networks concentrating on propagation models for different urban environments. 3rd international conference on mathematics and applied science (ICMAS 2022). Doi: DOI: https://doi.org/10.1088/1742-6596/2322/1/012095Google ScholarCross Ref
37. 37. Maccartney, G. R., Samimi, M. K., & Rappaport, T. S. (2015). Exploiting directionality for millimeter-wave wireless system improvement. 2015 IEEE international conference on communications (ICC), London, pp 2416–2422. Doi: DOI: https://doi.org/10.1109/ICC.2015.7248687Google ScholarCross Ref
38. 38. HurChoLeeKangParkBenn SYJNJHSynchronous channel sounder using horn antenna and indoor measurements on 28 GHzIEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)20142014838710.1109/BlackSeaCom.2014.6849010Google ScholarCross Ref
39. 39. Rappaport TSMaccartney GRSunYanDeng SHSSmall-Scale, local area, and transitional millimeter wave propagation for 5G communicationsIEEE Transactions on Antennas and Propagation2017656474649010.1109/TAP.2017.2734159Google ScholarCross Ref
40. 40. DengMaccartneyRappaport SGRSTSIndoor and outdoor 5G diffraction measurements and models at 10, 20, and 26 GHzIEEE Global Communications Conference (GLOBECOM)201620161710.1109/GLOCOM.2016.7841898Google ScholarDigital Library
41. 41. Sun Set al.Investigation of prediction accuracy, sensitivity, and parameter stability of large scale propagation path loss models for 5G wireless communicationsIEEE Transactions Vehicular Technology2016652843286010.1109/TVT.2016.2543139Google ScholarCross Ref
42. 42. Samimi MKRappaport TSMaccartney GRProbabilistic omnidirectional path loss models for millimeter-wave outdoor communicationsIEEE Wireless Communications Letters2015435736010.1109/LWC.2015.2417559Google ScholarCross Ref
43. 43. Oladimeji, T., Kumar, P., & Elmezughi, M. (2023). Performance analysis of high order close-in path loss model at 28 and 38 GHz. 2023 conference on information communications technology and society (ICTAS 2023), 1–5. Doi: DOI: https://doi.org/10.1109/ICTAS56421.2023.10082746Google ScholarCross Ref
44. 44. Huang JIECao YRaimundo XCheema ARain statistics investigation and rain attenuation modeling for millimeter wave short-range fixed linksIEEE Access2019715611015612010.1109/ACCESS.2019.2949437Google ScholarCross Ref
45. 45. He, R., Gong, Y., Bai, W., Li, Y., & Wang, X. (2020). Random forests based path loss prediction in mobile communication systems. Proceedings of the 2020 IEEE 6th international conference on computer and communications (ICCC), 3029–3056. Doi: DOI: https://doi.org/10.1109/ICCC51575.2020.9344905Google ScholarCross Ref
46. 46. Faizan, Q. (2020). Enhancing QOS performance of the 5G network by characterizing mm-wave channel and optimizing interference cancellation scheme. A thesis submitted for doctor of philosophy, University of MalayaGoogle Scholar
47. 47. Thomas. T.A. et al., (2016). A prediction study of path loss models from 2–73.5 GHz in an urban-macro environment. Proccedings IEEE 83rd VTC Spring, 1–5. Doi: DOI: https://doi.org/10.1109/VTCSpring.2016.7504094Google ScholarCross Ref
48. 48. Schilcher UToumpis SHaenggi MCrismani ABrandner GBettstetter CInterference functionals in poisson networksIEEE Transactions On Information Theory2016621371384344798710.1109/TIT.2015.2501799Google ScholarDigital Library
49. 49. Sun, S. et al. (2016). Propagation path loss models for 5G urban micro- and macro-cellular scenarios. Proccedings IEEE 83rd VTC Spring, 1–6. Doi: DOI: https://doi.org/10.1109/VTCSpring.2016.7504435Google ScholarCross Ref
50. 50. Sun.S., MacCartney Jr. G. R., and Rappaport. T. S. (2016). Millimeter-wave distance-dependent large-scale propagation measurements and path loss models for outdoor and indoor 5G systems. Proccedings 10th EuCAP, 1–5. Doi: DOI: https://doi.org/10.1109/EuCAP.2016.7481506Google ScholarCross Ref
51. 51. Elmezughi M. K., Afullo. T. J., and Oyie N. O, (2020). Investigating the Impact of Antenna Heights on Path Loss Models in an Indoor Corridor Environment. icABCD 2020 Conference IEEE, pp 1–7. Doi: DOI: https://doi.org/10.1109/icABCD49160.2020.9183859Google ScholarCross Ref

• Miniaturized quad-channel microstrip diplexer with low insertion loss and wide stopband for multi-service wireless communication systems

  In this paper, a compact four-channel diplexer is designed using a microstrip structure to separate input signals at 2.07/3.94 GHz and 2.37/4.49 GHz and load them on two output ports. The presented diplexer is designed utilizing a novel structure, which ...

  Read More

• A design of printed dual band antennas for wireless communications systems

  CEA'07: Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications

  This paper presents a printed dual band antenna, which was designed and fabricated two patch lines with a coplanar waveguide-feed, for PCS(Personal Communication Systems) and the IMT2000 band. The proposed antenna has been a broad band and a small size. ...

  Read More

• A study of symmetrical sector cut monopole antenna with notched band for ultra wideband wireless applications

  ICWET '11: Proceedings of the International Conference & Workshop on Emerging Trends in Technology

  In this paper the compact ultra wideband (UWB) antenna with band notch function is proposed. The proposed antenna is a monopole antenna, it has symmetrical sector cut on both sides at the top of monopole structure. The band stop functionality is ...

  Read More

  See Also

  Cost-effectiveness analysis of tildrakizumab in patients with moderate to severe plaque psoriasis in the United States