Current Issue : October - December Volume : 2019 Issue Number : 4 Articles : 5 Articles
Railway communications are closely impacted by the evolution and availability of new\nwireless communication technologies. Traditionally, the critical nature of railway services, the long\nlifecycle of rolling stock, and their certification processes challenge the adoption of the latest\ncommunication technologies. A current railway telecom trend to solve this problem is to design\na flexible and adaptable communication architecture that enables the detachment of the railway\nservices-at the application layer-and the access technologies underneath, such as 5G and beyond.\nOne of the enablers of this detachment approach is software-defined networking (SDN)-included in\n5G architecture-due to its ability to programmatically and dynamically control the network behavior\nvia open interfaces and abstract lower-level functionalities. In this paper, we design a novel railway\ntrain-to-ground (T2G) communication architecture based on the 5G technological enabler SDN and\non the transport-level redundancy technique multipath TCP (MPTCP). The goal is to provide an\nadaptable and multitechnology communication service while enhancing the network performance of\ncurrent systems. MPTCP offers end-to-end (E2E) redundancy by the aggregation of multiple access\ntechnologies, and SDN introduces path diversity to offer a resilient and reliable communication.\nWe carry out simulation studies to compare the performance of the legacy communication architecture\nwith our novel approach. The results demonstrate a clear improvement in the failover response time\nwhile maintaining and even improving the uplink and downlink overall data rates....
The information contained within Call Details records (CDRs) of mobile networks can\nbe used to study the operational efficacy of cellular networks and behavioural pattern of mobile\nsubscribers. In this study, we extract actionable insights from the CDR data and show that there\nexists a strong spatiotemporal predictability in real network traffic patterns. This knowledge can\nbe leveraged by the mobile operators for effective network planning such as resource management\nand optimization. Motivated by this, we perform the spatiotemporal analysis of CDR data publicly\navailable from Telecom Italia. Thus, on the basis of spatiotemporal insights, we propose a framework\nfor mobile traffic classification. Experimental results show that the proposed model based on machine\nlearning technique is able to accurately model and classify the network traffic patterns. Furthermore,\nwe demonstrate the application of such insights for resource optimisation....
Free space optical communication systems are the future of the communication systems which can meet the needs of the end users\nwho are demanding high bandwidths to support high-speed communication. These merits are due to its numerous advantages\nas well as their better performance. This paper studies the effect of environmental parameters like rain, fog, haze, snow, and dust\non the performance of optical wireless communications using Opti-system program. This work considers the effect of visibility as\nwell as operating wavelengths on atmospheric attenuation in different weather conditions for free space optical link. For different\nweather conditions the max distance between transmitter and receiver can also be estimated.The system analysis depicted the better\nperformance of the Multi-Input/Multi-Output (MIMO) configurations compared to Single Input/Single Output (SISO) at different\nweather conditions....
The simultaneous processing of orbital angular momentum (OAM) and polarization\nhas recently acquired particular importance and interest in a wide range of fields ranging\nfrom telecommunications to high-dimensional quantum cryptography. Due to their inherently\npolarization-sensitive optical behavior, Pancharatnam-Berry optical elements (PBOEs), acting on\nthe geometric phase, have proven to be useful for the manipulation of complex light beams with\northogonal polarization states using a single optical element. In this work, different PBOEs have\nbeen computed, realized, and optically analyzed for the sorting of beams with orthogonal OAM\nand polarization states at the telecom wavelength of 1310 nm. The geometric-phase control is\nobtained by inducing a spatially-dependent form birefringence on a silicon substrate, patterned\nwith properly-oriented subwavelength gratings. The digital grating structure is generated with\nhigh-resolution electron beam lithography on a resist mask and transferred to the silicon substrate\nusing inductively coupled plasma-reactive ion etching. The optical characterization of the fabricated\nsamples confirms the expected capability to detect circularly-polarized optical vortices with different\nhandedness and orbital angular momentum....
The technologies cloud computing (CC) and artificial intelligence (AI) are\nvery much on business horizon as smart transformation technologies for\ncompanies to be smarter once, so as to render their services in a smart way to\ntheir customer, meaning promptly, efficiently and economically that best satisfy\nthe customers. This study is a study of the application of CC, and AI in\nthe leading telecom MGA-MENA Company in the middle-east. The result of\nthe application of the twin-technologies of cloud computing and artificial intelligence\nis the increase in operational services, product efficiencies and better\nproducts and more customer satisfying services of a Smart MGA-MENA\nCompany. The conclusion that follows is that the big telecom enterprises like\nMGA-MENA with a large customer base and every minute umpteen transactions,\ncloud computing and artificial intelligence is a new and advanced\nbusiness opportunity. So, it is suggested that telecoms need to be technologically\ndynamic and updated....
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