Estimation of Path Loss in Urban Areas Based on 1-Ray Model Using Building Coverage and Floor Area Ratios

2013 ◽  
Author(s):  
Keisuke Shigetomi ◽  
Masafumi Takematsu ◽  
Kazunori Uchida ◽  
Junichi Honda
Keyword(s):  
Urban Areas ◽  
Path Loss ◽  
Floor Area

scholarly journals Deep learning for radio propagation: Using image-driven regression to estimate path loss in urban areas

ICT Express ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 160-165 ◽  
Author(s):  
Sotirios P. Sotiroudis ◽  
Sotirios K. Goudos ◽  
Katherine Siakavara
Keyword(s):  
Deep Learning ◽  
Urban Areas ◽  
Path Loss ◽  
Radio Propagation

Estimating Size Distributions of Building Areas for Natural Hazards Assessments

1990 ◽  
Vol 6 (3) ◽  
pp. 497-505 ◽  
Author(s):  
Barclay G. Jones ◽  
Blane D. Lewis
Keyword(s):  
Urban Areas ◽  
Building Stock ◽  
Data Set ◽  
Floor Area ◽  
Response Recovery ◽  
Error Distributions ◽  
Regression Techniques ◽  
Negative Exponential ◽  
Different Characteristics ◽  
Best Fit

It is very helpful to be able to estimate the number of buildings in floor area size categories for various purposes in risk assessment, vulnerability reduction, emergency response, recovery and reconstruction planning. We compile a frequency distribution by floor area from a data set for 900,000 buildings using complete enumerations of buildings from several urban areas. Three models are fit to the data: the lognormal distribution and two regression models based on the negative exponential. A regression model estimating the percentage of buildings larger than a given size provides the best fit and is a useful technique for making predictions. Since estimates produced by regression techniques have known error distributions, the results will only be approximate. For places for which the building stock has considerably different characteristics from the data set, the parameters of the model will have to be recalculated. An actual example of an application of the model is presented.

scholarly journals Location-dependent User Selection Based on Sum Rate Approximation in Large System Regime for Massive MIMO

2018 ◽  
Vol 218 ◽  
pp. 03010 ◽  
Author(s):  
Vera Noviana Sulistyawan ◽  
Rina Pudji Astuti ◽  
Arfianto Fahmi
Keyword(s):  
Urban Areas ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Path Loss ◽  
Large System ◽  
User Selection ◽  
Rate Performance ◽  
Selection Scheme ◽  
Multiple User ◽  
Sum Rate

Massive MIMO with multiple BS antennas can give simultaneous service for multiple user equipments (UEs) that are widely considered in massive connectivity to meet high data rate requirements. User selection is critical to optimize the overall performance of MIMO systems in various scenarios and has been extensively studied in cellular networks to guarantee service for users. In the previous study, location-dependent user selection (LUS) had extremely low computational complexity which is capable to enhance sum rate performance, but there are many environmental condition assumptions that make this algorithm does not reflect real conditions. In this research, we proposed modified LUS with approximations of sum rate in large system regimes by adding the sum ergodic of the distance from one user to another which enhance sum rate performance. In addition, we vary the user environment that was ignored in previous research by varying the path loss exponent values. In this research, we focus modify on sub-urban areas with each UEs having different environmental conditions. The selection scheme is equipped with spatial correlation fading on the transmitter side MIMO antenna. The simulation shows an increase in sum rate between 0.0012 to 0.3935 in perfect CSI. For the imperfect CSI with antenna correlation coefficient for power at 30 dBm is 0.5 when 32x64 antennas is 14 optimal active UEs with sum rate is 23.4207 bps/Hz. For cases where the user is located in different positions with different environmental circumstances, with 32x64 antennas showing the highest sum rate is 24.8436 bps/Hz with 17 optimal UEs.

scholarly journals Compared to wireless deployment in areas with different environmentse

2019 ◽  
Vol 9 (2) ◽  
pp. 934
Author(s):  
Inaam Abbas Hieder
Keyword(s):  
Urban Areas ◽  
Path Loss ◽  
Accurate Estimate ◽  
Cellular Systems ◽  
Improve Performance ◽  
Suburban Areas ◽  
Financial Feasibility ◽  
Loss Models ◽  
Mobile Phone System ◽  
Inaccurate Estimate

<p>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 loss models for statistical analysis derived from experimental data collected in urban and suburban areas at frequencies of 150-1500 MHz’s The results of the measurements were used to develop path loss models in urban and suburban areas. The results showed that Pathloss increases in urban areas respectively.</p>

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