Comparison of Radio Propagation Models for Long Term Evolution (LTE) Network

Shabbir, Noman; Sadiq, Muhammad T.; Kashif, Hasnain

doi:10.48550/arxiv.1110.1519

Cited by 4 publications

(6 citation statements)

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“…The coverage planning of radio networks is a key problem that all mobile operators have to deal with. Moreover, it has proven to be a fundamental issue, not only in LTE networks, but also in other standards for mobile communications [31], [33], [36], [41]. One of the primary objectives of mobilenetwork planning is to efficiently use the allocated frequency band to ensure that some geographical area of interest can be satisfactorily reached with the base stations of the network.…”

Section: A Backgroundmentioning

confidence: 99%

“…PRATO uses the COST-231 Walfisch-Ikegami radiopropagation model [33], which was introduced as an extension of the well-known COST Hata model [32]. The suitability of this model comes from the fact that it distinguishes between line-of-sight (LOS) and non-line-of-sight (NLOS) conditions.…”

Section: B Propagation Modelingmentioning

confidence: 99%

“…This technique is also adopted by other propagation models for radio networks, like the artificial neural networks macro-cell model developed in [24]. Consequently, we introduce an extra term for signal loss due to clutter (L CLUT ) to the Walfisch-Ikegami model [33], defining the path loss as…”

Section: B Propagation Modelingmentioning

confidence: 99%

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A GRASS GIS parallel module for radio-propagation predictions

Benedičič

Cruz

Hamada

et al. 2014

International Journal of Geographical Information Science

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Geographical information systems are ideal candidates for the application of parallel programming techniques, mainly because they usually handle large data sets. To help us deal with complex calculations over such data sets, we investigated the performance constraints of a classic master-worker parallel paradigm over a message-passing communication model. To this end, we present a new approach that employs an external database in order to improve the calculation/communication overlap, thus reducing the idle times for the worker processes. The presented approach is implemented as part of a parallel radio-coverage prediction tool for the GRASS environment. The prediction calculation employs digital elevation models and land-usage data in order to analyze the radio coverage of a geographical area. We provide an extended analysis of the experimental results, which are based on real data from an LTE network currently deployed in Slovenia. Based on the results of the experiments, which were performed on a computer cluster, the new approach exhibits better scalability than the traditional master-worker approach. We successfully tackled real-world data sets, while greatly reducing the processing time and saturating the hardware utilization.Comment: 13 pages, 12 figures and 2 tables. International Journal of Geographical Information Science, 201

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Section: A Backgroundmentioning

confidence: 99%

Section: B Propagation Modelingmentioning

confidence: 99%

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A GRASS GIS parallel module for radio-propagation predictions

Benedičič

Cruz

Hamada

et al. 2014

International Journal of Geographical Information Science

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“…Empirical models usually describe this general propagation law by fitting the mean value of multiple measurements for a fixed scene to generate a certain quantitative relationship 1 . The limitation of empirical models is that they cannot account for the specificity of physical observations and are therefore difficult to generalize.…”

Section: Introductionmentioning

confidence: 99%

Computational analysis of indoor propagation characteristics of 2.4GHz band in office environments

Xiao,

2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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In this paper, we predict the propagation characteristics of indoor radio waves at 2450 MHz frequency set up in an office building. Based on a time domain finite difference algorithm, a numerical model of a single floor of the simulated office building gives the relationship between the office environment and the propagation characteristics, and the calculated received signal strength indication (RSSI) distribution and path loss at 2450 MHz frequency are discussed. It is clarified that the path loss increases due to the presence of internal obstructions. In addition, the RSSI distribution in the observation plane indicates that the higher the complexity of the indoor spatial environment, the weaker the transmitted power of the signal.

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“…There are extensive number of studies in the analysis of LTE performance for urban landscape [1]- [3]. These models are generally based on Okumara-Hata Model, COST 231-Hata Model, Ikegami Model, or 2-Ray model [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of LTE radio resource block allocation for maritime channels

Kachroo¹,

Özdemir²,

Tekiner‐Moğulkoç³

2016

2016 IEEE 37th Sarnoff Symposium

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In this study, we describe the behavior of LTE over the sea and investigate the problem of radio resource block allocation in such SINR limited maritime channels. For simulations of such sea environment, we considered a network scenario of Bosphorus Strait in Istanbul, Turkey with different number of ships ferrying between two ports at a given time. After exploiting the network characteristics, we formulated and solved the radio resource allocation problem by max-min integer linear programming method. The radio resource allocation fairness in terms of Jain's fairness index was computed and it was compared with round robin and opportunistic methods. Results show that the max-min optimization method performs better than the opportunistic and round robin methods. This result in turn reflects that the max-min optimization method gives us the high minimum best throughput as compared to other two methods considering different ship density scenarios in the sea. Also, it was observed that as the number of ships begin to increase in the sea, the max-min method performs significantly better with good fairness as compared to the other two methods.

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Comparison of Radio Propagation Models for Long Term Evolution (LTE) Network

Cited by 4 publications

References 0 publications

A GRASS GIS parallel module for radio-propagation predictions

A GRASS GIS parallel module for radio-propagation predictions

Computational analysis of indoor propagation characteristics of 2.4GHz band in office environments

Optimization of LTE radio resource block allocation for maritime channels

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