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Showing papers on "Telecom infrastructure sharing published in 2018"


Proceedings ArticleDOI
11 Mar 2018
TL;DR: The validity of the Gaussian-noise model as the basis for an open-source optical network planning tool and GN-model based predictions suggest the GN model a feasible choice for penalty estimation are explored.
Abstract: We explore the validity of the Gaussian-noise (GN) model as the basis for an open-source optical network planning tool. Experimental results and GN-model based predictions suggest the GN model a feasible choice for penalty estimation.

20 citations


Journal ArticleDOI
TL;DR: A method is proposed to modify the currently used power plants in telecom exchanges such that they easily adapt to variable input phase conditions, which will lead to the utmost utilization of grid power and save valuable diesel fuel used in back-up diesel generators.
Abstract: India has seen a huge surge in the telecom sector with total rural telecom subscribers doubling from 200.81 million to 404.16 million between 2010 and 2015. Therefore, telecom exchanges are built throughout the country to support this development. With severe electric power shortages in rural India, it poses a challenge to power these exchanges. It is observed that power supply in rural areas is not always available in three phase and can sometimes be available in two or single phase depending on fault in the three-phase system. Currently, used power plants in telecom exchanges are not designed to adapt to these variable input phase conditions. In this paper, a method is proposed to modify the currently used power plants such that they easily adapt to variable input phase conditions. This will lead to the utmost utilization of grid power and save valuable diesel fuel used in back-up diesel generators. The proposed method is designed and verified to have reasonable input power quality as per international standards. A quantitative estimation of diesel savings is also presented to estimate the percentage of diesel savings as a function of power outage.

10 citations


Book ChapterDOI
09 Feb 2018
TL;DR: Some robust functionality of self-optimizing network such as automatic neighbor list optimization, mobility load balancing optimization and handover optimization approach used to improve voice call quality and make a self-automated mobile network that would be fruitful to reduce call drop rate are proposed.
Abstract: Unwanted terminations of an on-going wireless conversation become the biggest issue of the whole world. Call drop degrades the voice call quality and impacted the quality of service of the network. Researchers, industries, and telecom- vendors are bothered to improve the call quality in existing telecom infrastructure and already proposed many valuable solutions which have own pros and cons but still there is no optimized reliable solution to reduce call drop has been deployed till now. This research paper focuses on some background reasons for call drop in existing wireless infrastructure and proposed the self-optimization concept to handle the overall network issue automatically in perspective of call drops minimization in mobile networks. This Research paper proposed some robust functionality of self-optimizing network such as automatic neighbor list optimization, mobility load balancing optimization and handover optimization approach used to improve voice call quality and make a self-automated mobile network that would be fruitful to reduce call drop rate.

6 citations


Journal ArticleDOI
TL;DR: This paper focuses on the investigation of the key factors that influence e-learning acceptance in Omani Universities and applied structural equation modelling approach, and revealed that the students are intending to use e- learning services and the main variable that influence their behavior are perceived usefulness and perceived ease of use.
Abstract: Similar to many developing countries, Oman recognizes the importance of e-learning and Information Communication Technology (ICT) to enhance the higher education standards and compete in the global education markets. Many higher education organizations today expect elearning to add value to their organization and hence improve the economy by extending their educational services to students and other students who are not able to access them due to geographical distance limitation. His Majesty the Sultan Qaboos speech in 2008 adds further motivation for the development of the Information systems and technology in Oman by saying "Information technology and communications have now become the main elements that move forward the development process in this third millennium; therefore, we have afforded our attention to finding a national strategy to develop the skills and abilities of citizens in this domain with the aim of further developing e-government services". The Omani government has supported this process substantially through the development of telecom infrastructure and establishment of Information Technology Authority (ITA) to implement national IT infrastructure and supervise the implementation of digital Oman strategy. Although, there is high consensus in the higher educational literature that e-learning acceptance is vital for the competitive advantage of our organizations. Yet, there are still considerable gaps in our e-learning acceptance and understanding of a range of issues concerning both the conceptual and practical as the higher education in Oman is far behind in the development of e-learning acceptance. The lack of e-learning acceptance in the higher education has created problems for most organizations. Hence, this paper focuses on the investigation of the key factors that influence e-learning acceptance in Omani Universities. The study covered a sample of 800 respondents and applied structural equation modelling approach in the analysis. The findings indicated that the students are intending to use e-learning services. On the other hand, the findings revealed that the main variable that influence their behavior are perceived usefulness and perceived ease of use. © 2018 Salim Amor Al-Hajri, Syed Ghayas and Abdelghani Echchabi.

5 citations


Proceedings ArticleDOI
01 Jul 2018
TL;DR: A novel, secure, highly distributed and ultra-dense fog computing infrastructure, which can be allocated at the extreme edge of a wired/wireless network for a Telecom Operator to provide multiple unified, cost-effective and new 5G services, such as Network Function Virtualization (NFV), Mobile Edge Computing (MEC), and services for third parties.
Abstract: We review a novel, secure, highly distributed and ultra-dense fog computing infrastructure, which can be allocated at the extreme edge of a wired/wireless network for a Telecom Operator to provide multiple unified, cost-effective and new 5G services, such as Network Function Virtualization (NFV), Mobile Edge Computing (MEC), and services for third parties (e.g., smart cities, vertical industries or Internet of Things (IoT)). The distributed and programmable fog technologies are expected to strengthen the position of the Mobile Network and cloud markets; key benefits are the dynamic deployment of new distributed low-latency services. The architecture consists of three main building blocks: a) a scalable node, that is seamlessly integrated in the Telecom infrastructure; b) a controller, focused on service assurance, that is integrated in the management and orchestration architecture of the Telecom operator; and c) services running on top of the Telecom infrastructure.

3 citations


Journal ArticleDOI
TL;DR: While the larger amounts of data heralded by 5G will zip through edge infrastructure without delay, once that same data reaches the less-advanced core infrastructure it could very well be throttled.
Abstract: 5G technology, with its promises of self-driving vehicles and immersive virtual reality, will be a data-hungry generation of wireless communications. But engineers have been so preoccupied with designing and building the low-latency networks for these emerging applications that they've neglected the rest of our vast, tangled telecom networks. The result is that there's now a growing gap between the capabilities of the fixed and mobile sides of these networks. • Think of the mobile side as the antennas and radio waves that deliver data to our devices. This is the side that has gotten a lot of attention in recent years with the advent of beamforming and millimeter waves. The fixed side is everything else—the cables, fibers, and switches that handle our long-distance communications. The United Nations' International Telecommunication Union (ITU), an agency that coordinates telecom infrastructure between countries, launched a focus group in August to address this emerging imbalance in wireless communications. • "Right now, when people start deploying [5G], it's the mobile side," says Richard Li, the chief scientist of future networks at Huawei and the chairman of the ITU Network 2030 focus group. "But the fixed network side is still 4G. They do not match." The upshot is that while the larger amounts of data heralded by 5G will zip through edge infrastructure without delay, once that same data reaches the less-advanced core infrastructure it could very well be throttled. • A big part of the problem is that the way data moves through our networks has been designed for efficiency on the mobile side. In the process, according to Li, our networks have become redundant and prone to clogging on the fixed side.

1 citations