Calculation Algorithm for Diffraction Losses of Multiple Obstacles Based on Epstein–Peterson Approach

Abdulrasool, Ahmad S.; Aziz, Jabir S.; Abou-Loukh, Sadiq J.

doi:10.1155/2017/3932487

Cited by 11 publications

(9 citation statements)

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“…Diffraction occurs in a scenario where the transmitted signal encounters an obstructing structure whose size is larger than the wavelength of the transmitted signal [29]. It allows signals to be transmitted around the surface of the earth's curve.…”

Section: Propagation Phenomenamentioning

confidence: 99%

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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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Section: Propagation Phenomenamentioning

confidence: 99%

“…A new procedure for calculating the reference distance 5 was introduced by this modification, thereby, having a new distance OE 5 as seen in (30b). Therefore, the model median PL is given by (29):…”

Section: Extended Sui Modelmentioning

confidence: 99%

Cellular Communications Coverage Prediction Techniques: A Survey and Comparison

et al. 2020

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“…K hill = 0 and K clutter = 0). Diffraction loss is calculated using Epstein-Peterson model with 3 obstacles [38]. The simulation parameters are selected to be similar to parameters used in experimental results' conditions.…”

Section: B Simulation Analysismentioning

confidence: 99%

On Performance Analysis of Single Frequency Network With C-RAN

2019

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Centralized-RAN (C-RAN) is an architectural trend that uses resource sharing and a set of interference mitigation techniques to reduce capital and operational expenditures for mobile network operators (MNOs). One of the technical enablers of a C-RAN solution is single frequency network (SFN) that curbs the interference and allows MNOs to transmit over single frequency across coordinated cells. One of the main advantages of SFN is that it reduces the number of handovers between neighboring cells while improving the overall system performance. In contrast to previous approaches that demonstrate some of the most prominent C-RAN features, in this paper, we first investigate two different SFN deployment scenarios' characteristics, benefits, and limitations. Second, we perform a simulation analysis of non-SFN and SFN without joint scheduling to observe signal to interference ratio heatmap distribution of the experimental test-site using similar system configurations. Finally, we perform an experimental analysis of joint scheduling in SFN based on coordinated inter baseband units scenario using C-RAN in a realistic environment. The experimental results are tested on a real operating site of a major MNO's infrastructure in Turkey. Through experimental results, we show overall performance gains of SFN feature in terms of different key performance indicators that are obtained from coordinating remote radio units in an SFN cell. Finally, we discuss about the main takeaways, lessons learned, and challenges of the considered SFN implementation.

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“…However, in reality, there are obstructions along the signal path. These obstructions cause diffraction loss depending on the extent to which the obstructions block the line of sight between the transmitter and the receiver (Abdulrasool et al, 2017;Loo, 2017;Wang et al, 2017;Raghavan et al, 2018).…”

Section: Introductionmentioning

confidence: 99%