Terrestrial and Millimeter-Wave Mobile Backhaul: A Last Mile Solution

Lambrechts, Wynand; Sinha, Saurabh

doi:10.1007/978-3-030-20957-5_5

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…Terdapat beberapa model propagasi yang dapat digunakan untuk memprediksi path loss. Diantaranya adalah model Okumura Hata [1], Stanford University Interim (SUI), ECC-33 [2], Ericsson [3] dan lain-lain. Model-model tersebut didapatkan berdasarkan serangkaian pengukuran path loss pada satu wilayah tertentu yang kemudian disesuaikan dengan karakteristik sistem pengukuran seperti karakteristik wilayah, tinggi antena, gain antena dan lain-lain [4].…”

Section: Pendahuluanunclassified

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Komparasi dan Optimasi Model Propagasi Pada Sistem Komunikasi Seluler Di Kota Palembang

Fadhli

Soim

2020

JNTE

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Terdapat berbagai macam model propagasi yang dapat digunakan untuk memprediksi path loss. Setiap model propagasi diklasifikasikan berdasarkan kategori lingkungannya. Pembagian kategori lingkungan ini bersifat subjektif, sehingga untuk mendapatkan prediksi yang akurat diperlukan pemilihan kategori lingkungan yang tepat. Penelitian ini membandingkan empat jenis model propagasi dengan hasil pengukuran RSL pada lima site di Kota Palembang. Model yang dibandingkan adalah Okumura Hata, ECC-33, Ericsson dan SUI. Berdasarkan komparasi menggunakan parameter RMSE, Kota Palembang menurut model Okumura Hata termasuk dalam kategori large urban. Sedangkan pada model ECC-33 termasuk kategori medium urban. Pada model Ericsson termasuk kategori suburban, dan pada model SUI termasuk dalam tipe terrain A. Dari perbandingan keempat model berdasarkan RMSE dan standar deviasi, diketahui bahwa pada hasil pengukuran lima site di Kota Palembang, model ECC-33 memiliki akurasi yang tinggi dengan RMSE 3,28 dB dan standar deviasi 2,74 dB. Setelah dioptimasi, model Okumura Hata juga memberikan akurasi prediksi yang tinggi, dengan RMSE 1,75 dB dan standar deviasi 0,76 dB. Sehingga disarankan untuk menggunakan model ECC-33 medium urban atau model Okumura Hata large urban yang telah dioptimasi untuk mempredikasi path loss di Kota Palembang.

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Section: Pendahuluanunclassified

“…Sebagai contoh, model Okumura Hata dibagi menjadi urban, suburban dan open area [1]. Sedangkan model ECC-33 dibedakan menjadi dua kategori, yaitu large urban dan small urban [2]. Pembagian kategori lingkungan ini bersifat subjektif, sebab standar besar dan kecilnya kota harus mengikuti standar dimana model ini dikembangkan [4].…”

Section: Pendahuluanunclassified

Komparasi dan Optimasi Model Propagasi Pada Sistem Komunikasi Seluler Di Kota Palembang

Fadhli

Soim

2020

JNTE

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“…The signal propagation mechanism in a terrestrial radio system undergoes scattering, reflection, and diffraction (Ali et al., 2018). In a clustered environment, the propagated signal suffers multipath propagation (Lambrechts & Sinha, 2019) through reflection/refraction (Salous, 2013), and the channel‐affecting factors remain elusive and complicated. As such, examining multiple aspects of the channel affecting factors is important for an accurate signal estimate, which is in particular required for the dense environment as opposed to open settings.…”

Section: Introductionmentioning

confidence: 99%

Loss Exponent Modeling for the Hilly Forested Region in the VHF Band III

Jawhly

Tiwari

2021

Radio Science

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Cellular Communications Coverage Prediction Techniques: A Survey and Comparison

et al. 2020

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A lot of effort and time is utilized in the planning and building of the cellular wireless networks to use minimum infrastructural components to provide the best network coverage as well as delivery of quality of service. Generally, path loss models are used for the prediction of wireless network coverage. Therefore, detailed knowledge of the appropriate path loss model suitable for the proposed geographical area is needed to determine the coverage quality of any wireless network design. However, to the best of our knowledge, despite the importance of path loss models, as used for the prediction of wireless network coverage, there doesn't exist any comprehensive survey in this field. Therefore, the purpose of this paper is to survey the existing techniques and mechanisms which can be addressed in this domain. Briefly, the contributions of this paper are: (1) providing a comprehensive and up to date survey of the various network coverage prediction techniques, indicating the different frequency ranges the models were developed, (2) the different suitable terrains for each of the model and the best suit mobile generation were presented, and lastly, (3) providing comparative analysis to aid the planning and implementation of the cellular networks. INDEX TERMS Path loss model, prediction, wireless, propagation scenarios, mobile generations, signal. I. INTRODUCTION The remarkable changes experienced by the development of mobile communication system over the last few years has led to severe challenges to the planning of mobile wireless networks. This fruition journey of the first-Generation (1G) network started back in the year 1979 and has progressed to the presently explored Fifth Generation (5G) network. Each new generation is usually built upon the present generation's needs, which led to research and development for a better technology that will accommodate the needs, capacities, proper availability to the end-user. With this exponential increase in the use of mobile-connected devices as well as the constant expansion of mobile communication networks, the effective provision of the coverage of the mobile networks is imperative for the delivery of quality of service (QoS) [1]. Radio propagation can be defined as the behaviour of radio waves experienced while signals are transmitted from one point to another [2]. Such phenomena like absorptions, reflections, scattering, refractions, among others, affect the radio wave [3]. Therefore, mobile network coverage prediction is a vital and essential task in the planning and deployment of cellular technology.

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Terrestrial and Millimeter-Wave Mobile Backhaul: A Last Mile Solution

Cited by 3 publications

References 17 publications

Komparasi dan Optimasi Model Propagasi Pada Sistem Komunikasi Seluler Di Kota Palembang

Komparasi dan Optimasi Model Propagasi Pada Sistem Komunikasi Seluler Di Kota Palembang

Loss Exponent Modeling for the Hilly Forested Region in the VHF Band III

Cellular Communications Coverage Prediction Techniques: A Survey and Comparison

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