Path loss models comparation in radio mobile communications
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The document compares different path loss models used in radio mobile communications. It discusses statistical models like the Okumura-Hata model which is based on empirical data from Tokyo and considers factors like frequency, base station height, mobile height, and distance. It also examines physical models like Walfish-Ikegami/COST-231 which take into account free space loss, diffraction loss, and loss from rooftops. While physical models can achieve more accuracy by applying electromagnetic laws, statistical models are easier to use without needing geographic data but have limited validity ranges.
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This document compares several propagation path loss models - Okumura, Hata, ECC 33, Cost-231, and SUI - by estimating path losses and signal strengths at 950 MHz in urban, suburban, and rural areas. Path losses are estimated using each model and compared to measured practical data from those environments. The results show that the Hata model most closely matches the practical data across all three environments. Therefore, the Hata model is concluded to be the most suitable for predicting signal strength in urban, suburban, and rural areas.
Volume 2-issue-6-2098-2101
This document compares several propagation path loss models - Okumura, Hata, ECC 33, Cost-231, and SUI - by estimating path losses and signal strengths at 950 MHz in urban, suburban, and rural areas. Path losses are estimated using each model and compared to measured practical data from those environments. The results show that the Hata model most closely matches the practical data across all three environments. Therefore, the Hata model is concluded to be the most suitable for predicting signal strength in urban, suburban, and rural areas.
18 15993 31427-1-sm(edit)nn
This document summarizes a research paper that proposes and analyzes a beam selection algorithm called Interference Aware - Maximization of SINR (IA-MSS) selection for 5G millimeter-wave MIMO systems. The algorithm aims to maximize signal-to-interference ratio (SINR) by first classifying users into interference users and non-interference users based on their strongest beams, and then selecting beams to minimize multi-user interference while achieving high SINR. Analysis shows the IA-MSS algorithm achieves higher power efficiency than alternatives by exploiting sparse properties of beamspace channels in mmWave massive MIMO.
Path loss models for air to-ground radio
This document proposes new statistical path loss models for air-to-ground radio channels in urban environments. It derives models based on ray-tracing simulations of radio propagation between airborne platforms and ground terminals in a 3D model of Bristol, UK. The models represent path loss and shadowing as a function of elevation angle rather than distance. Results show air-to-ground channels have advantages over peer-to-peer channels in urban areas, with line-of-sight probability decreasing less sharply with distance. Path loss is modeled separately for line-of-sight, obstructed line-of-sight, and non-line-of-sight conditions using equations involving elevation angle and frequency. Shadowing is found to follow a zero
COMPARISON OF RADIO PROPAGATION MODELS FOR LONG TERM EVOLUTION (LTE) NETWORK
This paper concerns about the radio propagation models used for the upcoming 4th Generation (4G) of cellular networks known as Long Term Evolution (LTE). The radio wave propagation model or path loss model plays a very significant role in planning of any wireless communication systems. In this paper, a comparison is made between different proposed radio propagation models that would be used for LTE, like Stanford University Interim (SUI) model, Okumura model, Hata COST 231 model, COST Walfisch-Ikegami & Ericsson 9999 model. The comparison is made using different terrains e.g. urban, suburban and rural area.SUI model shows the lowest path lost in all the terrains while COST 231 Hata model illustrates highest path loss in urban area and COST Walfisch-Ikegami model has highest path loss for suburban and rural environments.
Presentation
please if any problem in this slide than give me feedback i will remove those problem .
Two people can damage a society one who knows and does not talk, another one who does not know and talk.
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This document discusses radio frequency propagation mechanisms and empirical models for path loss prediction in hilly areas. It presents three empirical propagation models - COST231-Hata, Okumura-Hata, and Egli - that are suitable for path loss prediction in such environments. Signal strength measurements were taken in UHF band in Idanre, Nigeria and compared to predictions from the three models. The COST231-Hata model showed the closest agreement with a mean path loss error of 2.39dB, making it the most suitable model. A modified COST231-Hata model was also developed and implemented in Matlab, achieving 93.8% accuracy.
Csnt 2013 nit rkl
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A systematic evaluation of link budget for
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This summary provides an overview of the key points from the document:
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Path loss models comparation in radio mobile communications
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- 1. Path loss models comparation in radio mobile communications Abstract: consider a lot of parameters: how the transmitted signal is affected and plan the communication network. Various propagation models: Statistical models (empirical models): based on a statistical analysis of a great number of experimental measures that takes in account many parameters such as buildings, Base Stations (BS) and mobile station heights. An example is the Okumura-Hata model. It was suggested based on statistical analysis of a great number of experimental measures accomplished in and around the Tokyo town.The attenuation’s retained expression depends on: - f: Frequency (MHz) between 150 and 1500 MHz. - hb: Height (m) of the base station, between 30 and 300 m - hm: Height (m) of the mobile station, between 1 and 20 m - d: BS- Mobile distance (km), between 1 and 20 km and corrective term which depends on the area’s considered town and the frequency used band. Okumura-Hata models give field values illustrated by number of curves depending on a set of frequencies, transmitter-receiver distances and BS’s antenna heights. Physical models: Walfish-Ikegami/COST-231 Model European research group named COST231 has defined a model combining 2 approaches named empirical and deterministic one in order to evaluate propagation loss value for urban morphology and when frequency leave from 900-1800 MHz. These model take in account mainly: free space loss, loss added by diffracton and loss introduced by rooftops near the studied area. Mixed models References models Conclusions: Physical models (WI) can attaint a more greater degree of accuracy than a statistical model (Okumura-Hat), because researcher can retain his his electromagnetism’s laws knowledge that he has. Statistical models are more easy to be used than the physical ones. They don’t need e.g. geographic databases. However, validity domain is often limited: Okumura-Hata model can’t, e.g., be used for distances less than 1 km.