Log in

Relevant bibliographies by topics / PATH-LOSS MODEL / Journal articles

To see the other types of publications on this topic, follow the link: PATH-LOSS MODEL.

Journal articles on the topic 'PATH-LOSS MODEL'

Author: Grafiati

Published: 11 September 2023

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'PATH-LOSS MODEL.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Rayar, Vijay. "A Novel Indoor Path Loss Model based on Path Loss Exponent (PLE) Computational Approach." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 1170–78. http://dx.doi.org/10.5373/jardcs/v12sp7/20202217.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Elechi, Promise, and Paul Osaretin Otasowie. "Comparison of Empirical Path Loss Propagation Models with Building Penetration Path Loss Model." International Journal on Communications Antenna and Propagation (IRECAP) 6, no. 2 (2016): 116. http://dx.doi.org/10.15866/irecap.v6i2.8013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Bilgehan, Bülent, and Stephen Ojo. "Multiplicative based path loss model." International Journal of Communication Systems 31, no. 17 (2018): e3794. http://dx.doi.org/10.1002/dac.3794.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Iwuji, P. C. "PERFORMANCE ANALYSIS AND DEVELOPMENT OF PATH LOSS MODEL FOR TELEVISION SIGNALS IN IMO STATE, NIGERIA." Eurasian Physical Technical Journal 20, no. 2 (44) (2023): 87–98. http://dx.doi.org/10.31489/2023no2/87-98.

Full text

Abstract:

It is impossible to overstate the importance of propagation models in wireless network planning, frequency assignment, and television parameter evaluation. The fact that no two locations are identical in terms of climatic conditions, building patterns, terrain, etc. makes using path loss predicting models for any area extremely challenging. Therefore, it is impossible to develop a single path loss model that applies to all environmental settings. The main aim of this study is to develop a path loss model for NTA channel 12 Owerri and evaluate its performance based on received signal strength v

APA, Harvard, Vancouver, ISO, and other styles

5

Lee, Jun-Hyun, Dong-Hyung Lee, Hong-Sik Keum, and Heung-Gyoon Ryu. "Path Loss Model with Multiple-Antenna." Journal of Korean Institute of Electromagnetic Engineering and Science 25, no. 7 (2014): 747–56. http://dx.doi.org/10.5515/kjkiees.2014.25.7.747.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Har, D., H. H. Xia, and H. L. Bertoni. "Path-loss prediction model for microcells." IEEE Transactions on Vehicular Technology 48, no. 5 (1999): 1453–62. http://dx.doi.org/10.1109/25.790520.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Hieder, Inaam Abbas. "Compared to wireless deployment in areas with different environmentse." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 2 (2019): 934–40. https://doi.org/10.11591/ijece.v9i2.pp934-940.

Full text

Abstract:

In the mobile phone system, it is highly desirable to estimate the loss of the track not only to improve performance but also to achieve an accurate estimate of financial feasibility; the inaccurate estimate of track loss either leads to performance degradation or increased cost. Various models have been introduced to accurately estimate the path loss. One of these models is the Okomura / Hata model, which is recommended for estimating path loss in cellular systems that use micro cells. This system is suitable for use in a variety of environments. This study examines the comparison of path los

APA, Harvard, Vancouver, ISO, and other styles

8

Suman, Suraj, Sidharth Kumar, and Swades De. "Path Loss Model for UAV-Assisted RFET." IEEE Communications Letters 22, no. 10 (2018): 2048–51. http://dx.doi.org/10.1109/lcomm.2018.2863389.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Karttunen, Aki, Mikko Valkama, and Jukka Talvitie. "Influence of Noise-Limited Censored Path Loss on Model Fitting and Path Loss-Based Positioning." Sensors 21, no. 3 (2021): 987. http://dx.doi.org/10.3390/s21030987.

Full text

Abstract:

Positioning is considered one of the key features in various novel industry verticals in future radio systems. Since path loss (PL) or received signal strength-based measurements are widely available in the majority of wireless standards, PL-based positioning has an important role among positioning technologies. Conventionally, PL-based positioning has two phases—fitting a PL model to training data and positioning based on the link distance estimates. However, in both phases, the maximum measurable PL is limited by measurement noise. Such immeasurable samples are called censored PL data and su

APA, Harvard, Vancouver, ISO, and other styles

10

Golnazar, Gregor Alexander Aramice, Abbas H. Miry, and Jaafar Q. Kadhim. "Path Loss Modelling based on Optimal Path Profile in V2I Environment." Academic Journal of Electrical and Computer Engineering 1, no. 2 (2025): 26–32. https://doi.org/10.31272/ajece.20.

Full text

Abstract:

This paper presents a predicted path loss model based on path profile in suburban Vehicle-to-Infrastructure propagation environments for 433MHz Sub-GHz band. Effecting of path profile parameters (Received Signal Strength, Tx-Rx antenna heights, Tx-Rx separating distance, Spreading Factor, Bandwidth, and coding rate) on link quality is considered as a crucial matter to maintain link availability at maximum path loss. The proposed model is based on the log-distance path loss model for line-of-sight propagation scenario. The path loss model is constructed based on the polynomial regression approa

APA, Harvard, Vancouver, ISO, and other styles

11

Madankar, Abhishek, Atish Khobragade, Minal Patil, and Shital Telrande. "Estimation of Loss Probability and Path Loss for 5G Millimeter-Wave Communication using 5G NR Path Loss Model." International Journal of Electronics and Communication Engineering 11, no. 10 (2024): 35–42. http://dx.doi.org/10.14445/23488549/ijece-v11i10p103.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Marco, G. Domingo, Kendrick E. Estebal Prince, A. Tongco Geraldine, and P. Mappatao Gerino. "Development of a reliable path-loss model for FM broadcast reception in office locations." Bulletin of Electrical Engineering and Informatics 9, no. 4 (2020): 1654–61. https://doi.org/10.11591/eei.v9i4.2020.

Full text

Abstract:

This paper proposes for the development of a path-loss model to improve the accuracy in predicting the signal level in office locations for the reception of FM broadcast. Identifying the factors that affect the signal level and eventually developing a model to predict the signal inside buildings will guide engineers in designing a broadcast system. A properly designed broadcast system will ensure optimum signal penetration in these listening areas. Further, the developed model can find applications in policy-making on the regulation of FM broadcast stations, both for analog and digital radio s

APA, Harvard, Vancouver, ISO, and other styles

13

Chen, Jie, Dong Ya Shen, Na Yao, and Ren Zhang. "3-D Research about Walfisch-Bertoni Model." Applied Mechanics and Materials 385-386 (August 2013): 1527–30. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1527.

Full text

Abstract:

Walfisch - Bertoni model is used to predict the average signal field intensity of the main street. The model considers the path loss of the free space, diffraction loss along the path, and the influence of the height of the building. There are six City parameters in Walfisch - Bertoni model influence communication quality. In this paper, the researches about path loss and its characteristics is under the case of considering two city parameters at the same time. Facts have proved that this case is more close to the actual that the wireless signal propagation environment. This paper mainly resea

APA, Harvard, Vancouver, ISO, and other styles

14

Messaoud, Garah, Oudira Houcine, Djouane Lotfi, and Hamdiken Nazih. "Particle Swarm Optimization for the Path Loss Reduction in Suburban and Rural Area." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 4 (2017): 2125–31. https://doi.org/10.11591/ijece.v7i4.pp2125-2131.

Full text

Abstract:

In the present work, a precise optimization method is proposed for tuning the parameters of the COST231 model to improve its accuracy in the path loss propagation prediction. The Particle Swarm Optimization is used to tune the model parameters. The predictions of the tuned model are compared with the most popular models. The performance criteria selected for the comparison of various empirical path loss models is the Root Mean Square Error (RMSE). The RMSE between the actual and predicted data are calculated for various path loss models. It turned out that the tuned COST 231 model outperforms

APA, Harvard, Vancouver, ISO, and other styles

15

Pandey, Suryashree, and Abhinandan Sarkar. "To Develop a Model for 4g LTE and Predictable 5G at 3500 Mhz that Would Predict the Path Loss for the Environment in Semi-Urban or Mixture of Urban and Rural Surroundings at Specific Geographical Locations." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 485–89. http://dx.doi.org/10.22214/ijraset.2022.42001.

Full text

Abstract:

Abstract: In wireless communication, a planned network is given by the path loss model. Link budgeting, coverage prediction, and system performance optimization are indispensable in developing an accurate, simple, and general path loss model. To predict path loss in a particular environment each type of path loss propagation model is designed, it may be inaccurate in another different environment. In this paper, we are trying to predict a path loss model of Durgapur considering a particular place with a mixture of high-rise buildings, sub-urban, open, and foliage environments. For this proposa

APA, Harvard, Vancouver, ISO, and other styles

16

Yang, Yi Huai. "Visual Simulation of Mobile Channel Model." Applied Mechanics and Materials 246-247 (December 2012): 1209–13. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.1209.

Full text

Abstract:

Simulink is the integrated environment of system modelling and simulation, which is being widespread used. This paper describes the MATLAB visual simulation of the propagation path loss model for telecommunication systems. We simulated the whole process of COST231-Walfisch-Ikegami model with high accuracy, built a visual simulation frame and the path loss curves are given. This method can be used in studying other propagation path loss models in propagation environments.

APA, Harvard, Vancouver, ISO, and other styles

17

Nebuloni, Roberto, and Elizabeth Verdugo. "FSO Path Loss Model Based on the Visibility." IEEE Photonics Journal 14, no. 2 (2022): 1–9. http://dx.doi.org/10.1109/jphot.2022.3152728.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Seong, Ju-Hyeon, Teak-Gu Gwun, Seung-Hee Lee, Jeong-Woo Kim, and Dong-hoan Seo. "Radio map fingerprint algorithm based on a log-distance path loss model using WiFi and BLE." Journal of the Korean Society of Marine Engineering 40, no. 1 (2016): 62–68. http://dx.doi.org/10.5916/jkosme.2016.40.1.62.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Li, Qiang, Hongxin Zhang, Yang Lu, Tianyi Zheng, and Yinghua Lv. "A new method for path-loss modeling." International Journal of Microwave and Wireless Technologies 11, no. 08 (2019): 739–46. http://dx.doi.org/10.1017/s1759078719000084.

Full text

Abstract:

AbstractIn this paper, a new path-loss model for electromagnetic wave in an indoor multipath environment is proposed based on matching coefficient, polarization matching factor, and normalized field intensity direction function. This model is called the Friis-extension (Friis-EXT) model, because it operates as the Friis model under certain conditions. In addition, in the modeling process of the path-loss in an indoor environment, the reflective surfaces in the environment and form of the antenna are considered. Afterwards, the path-loss data in an indoor corridor environment are measured, and

APA, Harvard, Vancouver, ISO, and other styles

20

Wang, Tai Rong, Lu Bai, and Zhen Sen Wu. "Path Loss of Non-Line-of-Sight Single-Scatter Model." Advanced Materials Research 571 (September 2012): 416–20. http://dx.doi.org/10.4028/www.scientific.net/amr.571.416.

Full text

Abstract:

Based on the single-scatter model of the Non-Line-of-Sight(NLOS), we analyze the effect of the geometric parameter of the transceiver on path loss, such as the receiver field of view(FOV), the transmitter apex angle and so on. And path loss in different visibility and weather conditions are simulated. The simulation results show that increasing the receiver FOV, or reducing the transmitter apex angle or the receiver apex angle can reduce path loss. And visibility and weather have an important effect on path loss.

APA, Harvard, Vancouver, ISO, and other styles

21

Anyanwu, Chinedu* Chukwuchekwa Nkwachukwu* Agubor Cosmas*. "DEVELOPMENT OF A PATHLOSS MODEL FOR 3G NETWORKS AT 1.857 GHz IN PORT HARCOURT NIGERIA." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 5 (2017): 423–33. https://doi.org/10.5281/zenodo.573555.

Full text

Abstract:

This paper reports the development of a Path loss Model For 3G Networks using Port Harcourt City in Nigeria as a case study. Signal loss experienced by network users in and around the city has been an issue that needed to be addressed. WCDMA network operating at a frequency of 1.857GHz was monitored in some selected areas within the city namely: Rivers State University of Science and Technology (RSUST), Ikwerre road and D-line.. Drive test was used as the method for data collection. Based on the data collected and analysis done a path loss model that best describes the signal loss was develope

APA, Harvard, Vancouver, ISO, and other styles

22

Juang, Rong-Terng. "Explainable Deep-Learning-Based Path Loss Prediction from Path Profiles in Urban Environments." Applied Sciences 11, no. 15 (2021): 6690. http://dx.doi.org/10.3390/app11156690.

Full text

Abstract:

This paper applies a deep learning approach to model the mechanism of path loss based on the path profile in urban propagation environments for 5G cellular communication systems. The proposed method combines the log-distance path loss model for line-of-sight propagation scenarios and a deep-learning-based model for non-line-of-sight cases. Simulation results show that the proposed path loss model outperforms the conventional models when operating in the 3.5 GHz frequency band. The standard deviation of prediction error was reduced by 34% when compared to the conventional models. To explain the

APA, Harvard, Vancouver, ISO, and other styles

23

الروياتي, علي عبدالحفيظ, محمد محمود الشوماني та عبد القادر محمد الروياتي. "بناء نموذج فقد المسار للاتصالات اللاسلكية في المناطق القروية بمدينة مصراتة في ليبيا باستخدام تقنيات تعلم الآلة". International Science and Technology Journal 34, № 1 (2024): 1–24. http://dx.doi.org/10.62341/ammr2324.

Full text

Abstract:

Path loss prediction is of great importance in studies of designing, developing, and improving the performance of wireless networks and mobile communication systems of the 5G which requires of accuracy in performance and reduction in losses. Therefore, new models should be proposed to predict path loss propagation with high accuracy and less complexity. In this paper, a path loss model was designed and implemented using artificial intelligence and machine learning techniques, which training and testing on a real database created based on maximum measured distance and received power from the ba

APA, Harvard, Vancouver, ISO, and other styles

24

Jo, Han-Shin, Chanshin Park, Eunhyoung Lee, Haing Kun Choi, and Jaedon Park. "Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network, and Gaussian Process." Sensors 20, no. 7 (2020): 1927. http://dx.doi.org/10.3390/s20071927.

Full text

Abstract:

Although various linear log-distance path loss models have been developed for wireless sensor networks, advanced models are required to more accurately and flexibly represent the path loss for complex environments. This paper proposes a machine learning framework for modeling path loss using a combination of three key techniques: artificial neural network (ANN)-based multi-dimensional regression, Gaussian process-based variance analysis, and principle component analysis (PCA)-aided feature selection. In general, the measured path loss dataset comprises multiple features such as distance, anten

APA, Harvard, Vancouver, ISO, and other styles

25

Kaya , Abdil, Brecht De Beelde, Wout Joseph, Maarten Weyn, and Rafael Berkvens. "Geodesic Path Model for Indoor Propagation Loss Prediction of Narrowband Channels." Sensors 22, no. 13 (2022): 4903. http://dx.doi.org/10.3390/s22134903.

Full text

Abstract:

Indoor path loss models characterize the attenuation of signals between a transmitting and receiving antenna for a certain frequency and type of environment. Their use ranges from network coverage planning to joint communication and sensing applications such as localization and crowd counting. The need for this proposed geodesic path model comes forth from attempts at path loss-based localization on ships, for which the traditional models do not yield satisfactory path loss predictions. In this work, we present a novel pathfinding-based path loss model, requiring only a simple binary floor map

APA, Harvard, Vancouver, ISO, and other styles

26

Elechi, Promise. "Path Loss Prediction Model for GSM Fixed Wireless Access." European Journal of Engineering and Technology Research 1, no. 1 (2018): 1–4. http://dx.doi.org/10.24018/ejeng.2016.1.1.68.

Full text

Abstract:

This research investigated the effect of building materials on GSM signals quality. Measurements were conducted on MTN, Glo, Airtel and Etisalat networks using Radio Frequency Signal Tracker on six different building patterns. The results showed that building with alucoboard wall cladding had the highest signal loss while the sandcrete building/unrusted corrugated iron sheet roof had the least signal loss. Also, a model to predict signal penetration through building walls was developed. It was developed using the principles of Fresnel Refraction Coefficient and the knife-edge diffraction. The

APA, Harvard, Vancouver, ISO, and other styles

27

M Mohamed, Ibrahim M. "Accurate Path-Loss Estimation for Wireless Cellular Networks." Jurnal Kejuruteraan 33, no. 2 (2021): 317–28. http://dx.doi.org/10.17576/jkukm-2021-33(2)-16.

Full text

Abstract:

In addition to its rule in achieving acceptable system performance, accurate path-loss estimation leads to realize a simple and precise estimation of cellular networks financial feasibility. In other words, in cellular networks, while accurate path-loss estimation helps to achieve a reasonable cost, inaccurate path-loss estimation could either lead to reduce the cost but degrade the performance, or improve the performance but increase the cost. Thus accurate path loss estimation becomes a very crucial and desirable goal. To this end, different models were introduced in the literature for achie

APA, Harvard, Vancouver, ISO, and other styles

28

Reddy, Maddikera Krishna, Banreddy Likhitha, Pinjari Shakila, Shaik Sana Sultana, Challa Vanitha, and Dadi Sravani. "ITU-R Path Loss Model of Semi-Arid Region." International Journal of Microsystems and IoT 2, no. 11 (2024): 1356–61. https://doi.org/10.5281/zenodo.15063182.

Full text

Abstract:

Rainfall fade slope is an important factor that system engineers consider when developing fading mitigation procedures (FMT) for microwave systems in space-earth situations measures the rate at which rain attenuates radio signals. The accuracy with which the ITU-R's suggested fade slope prediction model approximates the distribution of fade slopes within tropical regions has been confirmed by a recent analysis conducted in Kurnool, India. The entire year-long measurement effort yielded results that are in good agreement with empirical data. Furthermore, the findings were validated by a meticul

APA, Harvard, Vancouver, ISO, and other styles

29

A.Mawjoud, Sami. "Path Loss Propagation Model Prediction for GSM Network Planning." International Journal of Computer Applications 84, no. 7 (2013): 30–33. http://dx.doi.org/10.5120/14592-2830.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Lee, Byeong-ho, YoungJoon Kim, Hyoungmin So, and Seong-Cheol Kim. "Efficient Indoor Localization Algorithm Using Multi Path Loss Model." Journal of Korean Institute of Communications and Information Sciences 42, no. 10 (2017): 1982–90. http://dx.doi.org/10.7840/kics.2017.42.10.1982.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Sari, Rouhollah, and Hadi Zayyani. "RSS Localization Using Unknown Statistical Path Loss Exponent Model." IEEE Communications Letters 22, no. 9 (2018): 1830–33. http://dx.doi.org/10.1109/lcomm.2018.2849963.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Oda, Y., K. Tsunekawa, and M. Hata. "Advanced LOS path-loss model in microcellular mobile communications." IEEE Transactions on Vehicular Technology 49, no. 6 (2000): 2121–25. http://dx.doi.org/10.1109/25.901884.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Tonguz, O. K., A. E. Xhafa, D. D. Stancil, A. G. Cepni, P. V. Nikitin, and D. Brodtkorb. "A Simple Path-Loss Prediction Model for HVAC Systems." IEEE Transactions on Vehicular Technology 53, no. 4 (2004): 1203–14. http://dx.doi.org/10.1109/tvt.2004.830143.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Bhuvaneshwari, A., R. Hemalatha, and T. Satyasavithri. "Semi Deterministic Hybrid Model for Path Loss Prediction Improvement." Procedia Computer Science 92 (2016): 336–44. http://dx.doi.org/10.1016/j.procs.2016.07.388.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Kurup, Divya, Wout Joseph, Gnter Vermeeren, and Luc Martens. "In-body Path Loss Model for Homogeneous Human Tissues." IEEE Transactions on Electromagnetic Compatibility 54, no. 3 (2012): 556–64. http://dx.doi.org/10.1109/temc.2011.2164803.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Progri, Ilir F. "A Unified Geolocation Channel Model--Part I (Path Loss)." Journal of Geolocation, Geo-information and Geo-intelligence 2017, no. 1 (2017): 31. http://dx.doi.org/10.18610/jg3.2017.071604.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Rahim, Mohammad Abdel, Mohamed Hadi Habaebi, Jalel Chebil, et al. "An indoor path loss model for wireless sensor networks." International Journal of Ultra Wideband Communications and Systems 3, no. 4 (2018): 192. http://dx.doi.org/10.1504/ijuwbcs.2018.092427.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Zyoud, Alhareth, Md Rafiqul Islam, Musse Mohamud Ahmed, et al. "An indoor path loss model for wireless sensor networks." International Journal of Ultra Wideband Communications and Systems 3, no. 4 (2018): 192. http://dx.doi.org/10.1504/ijuwbcs.2018.10013837.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Bhuvaneshwari, A., R. Hemalatha, and T. SatyaSavithri. "Path Loss Model Optimization Using Stochastic Hybrid Genetic Algorithm." International Journal of Engineering & Technology 7, no. 4.10 (2018): 464. http://dx.doi.org/10.14419/ijet.v7i4.10.21041.

Full text

Abstract:

In the context of modeling the propagation of mobile radio signals, optimizing the existing path loss model is largely required to precisely represent the actual propagation medium. In this paper, a hybrid tuning approach is proposed by merging the stochastic Weighted Least Square method and Genetic algorithm. The proposed hybrid optimization is employed to optimize the parameters of Cost 231 Hata propagation model and is validated by cellular field strength measurements at 900 MHz in the sub urban region. The hybrid optimization is compared with optimized results of Weighted Least Square meth

APA, Harvard, Vancouver, ISO, and other styles

40

Kosz, Paweł. "An Empirical Propagation Model for Corridors in Office Buildings." International Journal of Electronics and Telecommunications 63, no. 1 (2017): 5–10. http://dx.doi.org/10.1515/eletel-2017-0001.

Full text

Abstract:

Abstract This paper presents an empirical propagation path loss model for corridors in office buildings. The proposed model estimates changeable character of radio signal attenuation, based on a special approach as a combination of the simple free-space model with the author’s model. The measurement stand and measurement scenario are described. The propagation path loss research have been made in corridor for different frequencies in range 30 MHz to 290 MHz. A significant number of measurement results were allowed an analysis of the radio wave propagation conditions in the environment. In gene

APA, Harvard, Vancouver, ISO, and other styles

41

Jimoh, AKAANNI, ISA Abdurrhaman Ademola, OGUNBIYI Olalekan, OLUFEAGBA Benjamin. Jimmy, and SANNI Tunde Abdulrahman. "AJ-Olu-1: An Innovative Path Loss Model for Typical Nigerian Urban Environments." KIU Journal of Science, Engineering and Technology 2, no. 1 (2023): 17–23. http://dx.doi.org/10.59568/kjset-2023-2-1-03.

Full text

Abstract:

The modeling of outdoor path loss propagation is critical in the planning and construction of the Global System for Mobile Communication (GSM) coverage area. For GSM signal prediction at any location inside its service region, a precise forecast based on critical characteristics and a mathematical model is required. Numerous research findings on path loss propagation model forecast for GSM mobile networks conducted in various cities in Nigeria revealed that the COST231-Hata model gives closer prediction to most of the practical measure path loss values. Based on the existing COST-23-Hata path

APA, Harvard, Vancouver, ISO, and other styles

42

Samad, Md Abdus, Dong-You Choi, and Kwonhue Choi. "Path loss measurement and modeling of 5G network in emergency indoor stairwell at 3.7 and 28 GHz." PLOS ONE 18, no. 3 (2023): e0282781. http://dx.doi.org/10.1371/journal.pone.0282781.

Full text

Abstract:

Research on path loss in indoor stairwells for 5G networks is currently insufficient. However, the study of path loss in indoor staircases is essential for managing network traffic quality under typical and emergency conditions and for localization purpose. This study investigated radio propagation on a staircase where a wall separated the stairs from free space. A horn and an omnidirectional antenna were used to determine path loss. The measured path loss evaluated the close-in-free-space reference distance, alpha-beta model, close-in-free-space reference distance with frequency weighting, an

APA, Harvard, Vancouver, ISO, and other styles

43

Gareh, Messaoud, Lotfi Djouane, Houcine Oudira, and Nazih Hamdiken. "Path Loss Models Optimization for Mobile Communication in Different Areas." Indonesian Journal of Electrical Engineering and Computer Science 3, no. 1 (2016): 126. http://dx.doi.org/10.11591/ijeecs.v3.i1.pp126-135.

Full text

Abstract:

<p class="NormalItalique">In mobile radio systems, path loss models are necessary for proper planning, interference estimations, frequencies assignments and cell parameters which are basic for network planning process. Empirical models are the most adjustable models that can be suited to different types of environments. In this paper, data collected in Batna, Algeria is used to calculate the path loss for GSM (908-957 MHz). The measured path loss is compared with theoretical path loss estimated by the most widely empirical models «Cost123», «Hata», «SUI» and «Egli». The best model to est

APA, Harvard, Vancouver, ISO, and other styles

44

Nguyen, Chi, and Adnan Ahmad Cheema. "A Deep Neural Network-Based Multi-Frequency Path Loss Prediction Model from 0.8 GHz to 70 GHz." Sensors 21, no. 15 (2021): 5100. http://dx.doi.org/10.3390/s21155100.

Full text

Abstract:

Large-scale fading models play an important role in estimating radio coverage, optimizing base station deployments and characterizing the radio environment to quantify the performance of wireless networks. In recent times, multi-frequency path loss models are attracting much interest due to their expected support for both sub-6 GHz and higher frequency bands in future wireless networks. Traditionally, linear multi-frequency path loss models like the ABG model have been considered, however such models lack accuracy. The path loss model based on a deep learning approach is an alternative method

APA, Harvard, Vancouver, ISO, and other styles

45

Sudhamani, Chilakala, Mardeni Roslee, Lee Loo Chuan, Athar Waseem, Anwar Faizd Osman, and Mohamad Huzaimy Jusoh. "Performance Analysis of a Millimeter Wave Communication System in Urban Micro, Urban Macro, and Rural Macro Environments." Energies 16, no. 14 (2023): 5358. http://dx.doi.org/10.3390/en16145358.

Full text

Abstract:

The signal power in wireless communication systems is influenced by various factors, including the environment. These factors include path differences, operational frequency, and environmental conditions. Consequently, designing a communication system that generates a stronger signal is highly challenging. To address this, large-scale path-loss models are employed to estimate the path loss and signal power across different frequencies, distances, and environments. In this paper, we focused on the urban micro, urban macro, and rural macro environments to estimate path loss and signal power at m

APA, Harvard, Vancouver, ISO, and other styles

46

Zhou, Ruize. "A Study on Neural Network-Based Millimeter-Wave Path Loss Modeling for Indoor Application Scenarios." Applied and Computational Engineering 100, no. 1 (2025): 170–76. https://doi.org/10.54254/2755-2721/2025.20927.

Full text

Abstract:

Millimeter-wave (mmWave), with its abundant spectral resources, has become a key technology for achieving the high-speed and low-latency goals of 5G and post-5G communications. As the carrier frequency increases, wireless channels exhibit strong frequency dependence in terms of delay, spatial angle, and loss characteristics. Given the decisive impact of channel characteristics on the performance limits of wireless systems, an in-depth exploration of wireless channel characteristics is a necessary prerequisite for the design and deployment of millimeter-wave wireless communication systems [1].

APA, Harvard, Vancouver, ISO, and other styles

47

Akinbolati, Akinsanmi, Isah Shaibu, and Chidozie Okpala. "Investigation of Error Margin of Some Path Loss Models Over Digital Terrestrial Television Channel in Katsina Metropolis." Nigerian Journal of Theoretical and Environmental Physics 1, no. 1 (2024): 1–8. http://dx.doi.org/10.62292/njtep.v1i1.2023.11.

Full text

Abstract:

Due to rapid development in mobile communication technology in recent times, strong signal coverage has become a major necessity. However, path loss is one of the major challenges against strong signal coverage. Several path loss models have been developed for predicting wireless signal coverage for urban, sub-urban and rural areas. However, the need to investigate which model can best predict losses in an environment becomes necessary. This work is aimed at comparing the Error Margin of some Path loss Models over Digital Terrestrial Television (DTTV) channel using the Star Times DTTV Channel

APA, Harvard, Vancouver, ISO, and other styles

48

Sirdeshpande, Nandakishor, and Vishwanath Udupi. "Characterization of path loss model for wireless communication channel modelling." Data Technologies and Applications 54, no. 3 (2020): 343–64. http://dx.doi.org/10.1108/dta-03-2019-0052.

Full text

Abstract:

PurposeWireless communication channel provides a wide area of applications in the field of communication, distributed sensor network and so on. The prominence of the wireless communication channel is because of its robust nature and the sustainability for the precise ranging and the localization. The precision and accuracy of the wireless communication channel largely depend on the localization. The development of the wireless communication channel with improved benefits needs the accurate channel model.Design/methodology/approachThis paper characterizes the tangential path loss model in the W

APA, Harvard, Vancouver, ISO, and other styles

49

Mohd Nordin, Muhammad Akramuddin, and Huda Adibah Mohd Ramli. "PERFORMANCE ANALYSIS OF 5G PATH LOSS MODELS FOR RURAL MACROCELL ENVIRONMENT." IIUM Engineering Journal 21, no. 1 (2020): 85–99. http://dx.doi.org/10.31436/iiumej.v21i1.1247.

Full text

Abstract:

5G networks are expected to use the Millimeter Wave (mmWave) frequency band and this frequency provides wider bandwidth allowing a better quality of service to be offered to the users. However, the mmWave frequencies may lead to a higher path loss due to several factors including blockages,rain and atmosphere. Therefore, to allow optimal positioning of the 5G base stations, the study of path loss model in this 5G mmWave frequencies is crucial. This paper investigates the 5G path loss models as well as their parameters that are most suitable for cross-polarized antennas under rural macrocell en

APA, Harvard, Vancouver, ISO, and other styles

50

Z. Iskandarani, Mahmoud. "Energy and path loss analysis of wireless sensor networks on a robotic body (WSRobotic)." Bulletin of Electrical Engineering and Informatics 14, no. 3 (2025): 1794–807. https://doi.org/10.11591/eei.v14i3.9354.

Full text

Abstract:

The objective of this work is to simulate and mathematically model both path loss and transmitted energy in a robotic wireless sensor network (WSN). The simulation and analysis showed an increase in both path loss and transmitted energy as a function of distance. The correlation between transmitted energy and path loss proved to be exponential relationship with both logarithmic and power relationships between path loss and distance. Both expressions describing path loss, using close-in (CI) dual model and transmitted energy, using wireless body area network (WBAN) model, are modified and combi

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!