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Ocena niezawodności propagacji fal radiowych pasm VHF i UHF w różnych warunkach terenowych z wykorzystaniem modelu utraty mocy sygnału
Języki publikacji
Abstrakty
The significant effect of path loss on the reliability of very high frequency (VHF) and ultrahigh frequency (UHF) bands propagation has drawn much attention. Previous works mainly focus on the reliability evaluation for infrastructures and basic equipment, however, its propagation reliability has not been taken into full consideration. This paper proposes a new method for evaluating the reliability of the wireless communication based on the analysis of the traditional outdoor wave propagation loss models. In the reliability evaluation of the radio communication, we firstly consider the transmission frequency, the antenna height, the cell type and the communication distance. Then, we use a lognormal distribution to fit the random distribution curve of the communication distance so that the relationship between the path loss value and the reliability can be analysed. We further derive the probability distribution function (PDF) and the cumulative distribution function (CDF) of the path loss value from different antenna correction factors, cell type correction factors and terrain correction factors. Finally, we calculate the radio communication reliability values at different frequencies based on the threshold of the propagation loss value. Compared with the reliability degree only considering the communication distance threshold, the influence of environmental factors on the reliability of the VHF and the UHF radio propagation has been analysed.
W literaturze przedmiotu, wiele uwagi poświęca się ostatnio znaczącemu wpływowi utraty mocy sygnału (ang. path loss) na niezawodność rozchodzenia się fal tworzących pasma o bardzo wysokiej częstotliwości (VHF) i ultra wysokiej częstotliwości (UHF). Wcześniejsze prace koncentrują się głównie na ocenie niezawodności infrastruktury i podstawowego wyposażenia, nie uwzględniając w pełni niezawodności propagacji fal. W niniejszym artykule zaproponowano nową metodę oceny niezawodności komunikacji bezprzewodowej opartą na analizie tradycyjnych modeli utraty mocy sygnału podczas propagacji fal radiowych w środowisku zewnętrznym. Oceniając niezawodność komunikacji radiowej, w pierwszej kolejności rozważano częstotliwość transmisji, wysokość anteny, typ komórki oraz odległość komunikacyjną. Następnie, za pomocą rozkładu lognormalnego, dopasowano krzywą rozkładu losowego odległości komunikacyjnej, co pozwoliło na analizę związku między wartością utraty mocy sygnału a niezawodnością. W dalszej kolejności, z wartości różnych współczynników korekcji anteny, typu komórki oraz terenu wyprowadzono funkcję rozkładu prawdopodobieństwa oraz dystrybuantę wartości utraty mocy sygnału. Na koniec obliczono wartości niezawodności komunikacji radiowej dla różnych zakresów częstotliwości w oparciu o próg wartości utraty mocy sygnału. Przedstawiona analiza wykracza poza elementarne obliczenia niezawodności na podstawie maksymalnej odległości komunikacyjnej biorąc także pod uwagę wpływ czynników środowiskowych na niezawodność propagacji fal radiowych VHF i UHF.
Czasopismo
Rocznik
Tom
Strony
375--383
Opis fizyczny
Bibliogr. 45 poz., rys., tab.
Twórcy
autor
- Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan, 611731, P. R. China
autor
- Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan, 611731, P. R. China
- hzhuang@uestc.edu.cn
autor
- Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan, 611731, P. R. China
autor
- Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan, 611731, P. R. China
Bibliografia
- 1. Abbas T, Sjöberg K, Karedal J, Tufvesson F. A measurement based shadow fading model for vehicle-to-vehicle network simulations. International Journal of Antennas and Propagation 2015; 2015: 1-12, http://dx.doi.org/10.1155/2015/190607.
- 2. Abhayawardhana V S, Wassell I J, Crosby D, Sellars M P, Brown M G. Comparison of empirical propagation path loss models for fixed wireless access systems. 2005 IEEE 61st Vehicular Technology Conference 2005; 1: 73-77, https://doi.org/10.1109/VETECS.2005.1543252.
- 3. Cerotti D, Gribaudo M, Bobbio A. Markovian agents models for wireless sensor networks deployed in environmental protection. Reliability Engineering & System Safety 2014; 130: 149-58, https://doi.org/10.1016/j.ress.2014.05.010.
- 4. Chen B, Phillips A, Matis T I. Two-terminal reliability of a mobile ad hoc network under the asymptotic spatial distribution of the random waypoint model. Reliability Engineering & System Safety 2012; 106: 72-9, https://doi.org/10.1016/j.ress.2012.05.005.
- 5. Chen X, Guo S, Wu Q. Link-Level Analysis of a Multiservice Indoor Distributed Antenna System [Wireless Corner]. IEEE Antennas and Propagation Magazine 2017; 59: 154-62, https://doi.org/10.1109/MAP.2017.2686089.
- 6. Dagefu F T, Choi J, Sheikhsofla M, Sadler B M, Sarabandi K. Performance assessment of lower VHF band for short-range communication and geolocation applications. Radio Science 2015; 50: 443-52, https://doi.org/10.1002/2014RS005601.
- 7. Duan R, Lin Y, Zeng Y. Fault diagnosis for complex systems based on reliability analysis and sensors data considering epistemic uncertainty. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20 (4): 558-566, http://dx.doi.org/10.17531/ein.2018.4.7.
- 8. Furht B, Ahson SA. Long Term Evolution: 3GPP LTE radio and cellular technology. CRC Press 2016.
- 9. Gamerman D, Lopes H F. Markov chain Monte Carlo: stochastic simulation for Bayesian inference. CRC Press 2006, https://doi.org/10.1201/9781482296426.
- 10. Hata M. Empirical formula for propagation loss in land mobile radio services. IEEE Transactions on Vehicular Technology 1980; 29: 317-25, https://doi.org/10.1109/T-VT.1980.23859.
- 11. Kabadurmus O, Smith A E. Evaluating Reliability/Survivability of Capacitated Wireless Networks. IEEE Transactions on Reliability 2018; 67: 26-40, https://doi.org/10.1109/TR.2017.2712667.
- 12. Kildal P, Orlenius C, Carlsson J. OTA Testing in Multipath of Antennas and Wireless Devices With MIMO and OFDM. Proceedings of the IEEE 2012; 100: 2145-57, https://doi.org/10.1109/JPROC.2012.2188129.
- 13. Knott A, Andersen T M, Kamby P, Pedersen J A, Madsen M P, Kovacevic M, and Andersen M A E. Evolution of Very High Frequency Power Supplies. IEEE Journal of Emerging and Selected Topics in Power Electronics 2014; 2: 386-94, https://doi.org/10.1109/JESTPE.2013.2294798.
- 14. Levitin G, Xing L, Dai Y. Optimal loading of series parallel systems with arbitrary element time-to-failure and time-to-repair distributions. Reliability Engineering & System Safety 2017; 164: 34-44, https://doi.org/10.1016/j.ress.2017.02.008.
- 15. Levitin G, Xing L, Dai Y. Optimal arrangement of connecting elements in linear consecutively connected systems with heterogeneous warm standby groups. Reliability Engineering & System Safety 2017; 165: 395-401, https://doi.org/10.1016/j.ress.2017.05.007.
- 16. Levitin G, Xing L, Dai Y. Connectivity evaluation and optimal service centers allocation in repairable linear consecutively connected systems. Reliability Engineering & System Safety 2018; 176: 187-93, https://doi.org/10.1016/j.ress.2018.04.012.
- 17. Li H, Huang H Z, Li Y F, Zhou J, Mi J. Physics of failure-based reliability prediction of turbine blades using multi-source information fusion. Applied Soft Computing, 2018; 72: 624-635, https://doi.org/10.1016/j.asoc.2018.05.015.
- 18. Li J, Duan R. Dynamic diagnostic strategy based on reliability analysis and distance-based VIKOR with heterogeneous information. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20 (4): 610-620, http://dx.doi.org/10.17531/ein.2018.4.12.
- 19. Li X Y, Huang H Z, Li Y F. Reliability analysis of phased mission system with non-exponential and partially repairable components. Reliability Engineering & System Safety 2018; 175:119-127, https://doi.org/10.1016/j.ress.2018.03.008.
- 20. Lu J M, Innal F, Wu X, Liu, Y, and Lundteigen, M A. Two-terminal reliability analysis for multi-phase communication networks. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2016; 18(3): 418-427, http://dx.doi.org/10.17531/ein.2016.3.14.
- 21. MacCartney G R, Rappaport T S. Rural macrocell path loss models for millimeter wave wireless communications. IEEE Journal on Selected Areas in Communications 2017; 35: 1663-77, https://doi.org/10.1109/JSAC.2017.2699359.
- 22. MacCartney G R, Yan H, Sun S, Rappaport T S. A flexible wideband millimeter-wave channel sounder with local area and NLOS to LOS transition measurements. 2017 IEEE International Conference on Communications (ICC) 2017; p. 1-7, https://doi.org/10.1109/ICC.2017.7996791.
- 23. Mi J, Li Y F, Yang Y J, Peng W, Huang H Z. Reliability assessment of complex electromechanical systems under epistemic uncertainty. Reliability Engineering & System Safety 2016; 152:1-15, https://doi.org/10.1016/j.ress.2016.02.003.
- 24. Mi J, Li Y F, Peng W, Huang H Z. Reliability analysis of complex multi-state system with common cause failure based on evidential networks. Reliability Engineering & System Safety 2018; 174: 71-81, https://doi.org/10.1016/j.ress.2018.02.021.
- 25. Nepa P, Rogier H. Wearable Antennas for Off-Body Radio Links at VHF and UHF Bands: Challenges, the state of the art, and future trends below 1 GHz. IEEE Antennas and Propagation Magazine 2015; 57: 30-52, https://doi.org/10.1109/MAP.2015.2472374.
- 26. Padmavathy N, Chaturvedi S K. Evaluation of mobile ad hoc network reliability using propagation-based link reliability model. Reliability Engineering & System Safety 2013; 115: 1-9, https://doi.org/10.1016/j.ress.2013.01.008.
- 27. Park J H. Time-dependent reliability of wireless networks with dependent failures. Reliability Engineering & System Safety 2017; 165: 47- 61, https://doi.org/10.1016/j.ress.2017.03.017.
- 28. Padmavathy N, Chaturvedi SK. Evaluation of mobile ad hoc network reliability using propagation-based link reliability model. Reliability Engineering & System Safety 2013; 115: 1-9, https://doi.org/10.1016/j.ress.2013.01.008.
- 29. Pedraza L F, Hernández C A, and López D. A. A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models. International Journal of Antennas and Propagation 2017; 2017: 1-8, https://doi.org/10.1155/2017/1034673.
- 30. Popoola S I, Misra S, Atayero A A. Outdoor Path Loss Predictions Based on Extreme Learning Machine. Wireless Personal Communications 2018; 99: 441-60, https://doi.org/10.1007/s11277-017-5119-x.
- 31. Popoola S I, Atayero A A, Popoola O A. Comparative assessment of data obtained using empirical models for path loss predictions in a university campus environment. Data in Brief 2018; 18: 380-93, https://doi.org/10.1016/j.dib.2018.03.040.
- 32. Poushter J. Smartphone ownership and internet usage continues to climb in emerging economies. Pew Research Center 2016; 22: 1-44.
- 33. Qu S. An Analysis of Probability Distribution of Doppler Shift in Three-Dimensional Mobile Radio Environments. IEEE Transactions on Vehicular Technology 2009; 58: 1634-9, https://doi.org/10.1109/TVT.2008.2004494.
- 34. Rappaport T S, MacCartney G R, Samimi M K, Sun S. Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design. IEEE Transactions on Communications 2015; 63: 3029-56, https://doi.org/10.1109/TCOMM.2015.2434384.
- 35. Series M. Guidelines for evaluation of radio interface technologies for IMT-Advanced. Geneva Switzerland, Rec. 2009; ITU-R M.2135-1.
- 36. Sulyman A I, Alwarafy A, MacCartney G R, Rappaport T S, Alsanie A. Directional radio propagation path loss models for millimeter-wave wireless networks in the 28-, 60-, and 73-GHz bands. IEEE Transactions on Wireless Communications 2016; 15: 6939-47, https://doi.org/10.1109/TWC.2016.2594067.
- 37. Sun S, Rappaport T S, Thomas T A, Ghosh A, Nguyen H C, Kovács I Z, Rodriguez I, Koymen O, and Partyka A. Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications. IEEE Transactions on Vehicular Technology 2016; 65: 2843-60, https://doi.org/10.1109/TVT.2016.2543139.
- 38. Sun S, Rappaport T S, Rangan S, Thomas T A, Ghosh A, Kovacs I Z, Rodriguez I, Koymen O, Partyka A, and Jarvelainen J. Propagation path loss models for 5G urban micro-and macro-cellular scenarios. 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring) 2016; p. 1-6, https://doi.org/10.1109/VTCSpring.2016.7504435.
- 39. TAhA R. On System Reliability of Increasing Multi-state Linear K-within-(m,s)-of-(m,n):F Lattice System. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018, 20(1): 73, http://dx.doi.org/10.17531/ein.2018.1.10.
- 40. Wang C, Chen L, Liu L. A New Analytical Model to Study the Ionospheric Effects on VHF/UHF Wideband SAR Imaging. IEEE Transactions on Geoscience and Remote Sensing 2017; 55: 4545-57, https://doi.org/10.1109/TGRS.2017.2693396.
- 41. Xiang S, Yang J. Performance reliability evaluation for mobile ad hoc networks. Reliability Engineering & System Safety 2018; 169: 32-9, https://doi.org/10.1016/j.ress.2017.08.001.
- 42. Xing L, Levitin G. Connectivity modeling and optimization of linear consecutively connected systems with repairable connecting elements. European Journal of Operational Research. 2018; 264: 732-41, https://doi.org/10.1016/j.ejor.2017.06.047.
- 43. Yoo S K, Cotton S L, Chun Y J, Scanlon W G, Conway G A. Channel Characteristics of Dynamic Off-Body Communications at 60 GHz Under Line-of-Sight (LOS) and Non-LOS Conditions. IEEE Antennas and Wireless Propagation Letters 2017; 16: 1553-6, https://doi.org/10.1109/LAWP.2017.2650863.
- 44. Yu H, Yang J, Peng R, Zhao Y. Reliability evaluation of linear multi-state consecutively-connected systems constrained by m consecutive and n total gaps. Reliability Engineering & System Safety 2016; 150: 35-43, https://doi.org/10.1016/j.ress.2016.01.010.
- 45. Zadehparizi F, Jam S. Increasing Reliability of Frequency-Reconfigurable Antennas. IEEE Antennas and Wireless Propagation Letters 2018;17: 920-3, https://doi.org/10.1109/LAWP.2018.2823688.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6a3134cd-4c55-401e-b66d-cafa80adc8b5