Conference Paper

5G Network Architecture, Functional Model and Business Role for 5G Smart City Use Case: Mobile Operator Perspective

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... They claimed that based on the simulation results, their method can improve the coverage probability and energy saving at base stations as well as mobile devices, which can fulfill the requirements of coverage and data rate in smart cities. In [89], the authors mentioned that based on their design for the 5G lighting management scenario in smart cities, it addresses three major functions that the existing lighting system is not able (or difficult) to fulfill: real-time and remote control with high security of light poles, efficient energy management, and proactively malfunction identification. ...
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5G is the fifth generation wireless network, with a set of characteristics, e.g., high bandwidth and data rates. The scenarios of using 5G include enhanced Mobile Broadband (eMBB), massive Machine Type Communications (mMTC), and ultra-Reliable and Low-Latency Communications (uRLLC). 5G is expected to support a wide variety of applications. We conducted a systematic mapping study that covers the literature published between Jan 2012 and Dec 2019 regarding using 5G in smart cities. The scenarios, architecture, technologies, challenges, and lessons learned of using 5G in smart cities are summarized and further analyzed based on 32 selected studies, and the results are that: (1) The studies are distributed over 27 publication venues. 17 studies report results based on academic studies and 13 studies use demonstration or toy examples. Only 2 studies report using 5G in smart cities based on industrial studies. 16 studies include assumptions of 5G network design or smart city scenarios. (2) The most discussed smart city scenario is transportation, followed by public safety, healthcare, city tourism, entertainment, and education. (3) 28 studies propose and/or discuss the architecture of 5G-enabled smart cities, containing smart city architecture (treating 5G as a component), 5G network architecture in smart cities, and business architecture of using 5G in smart cities. (4) The most mentioned 5G-related technologies are radio access technologies, network slicing, and edge computing. (5) Challenges are mainly about complex context, challenging requirements, and network development of using 5G in smart cities. (6) Most of the lessons learned identified are benefits regarding 5G itself or the proposed 5G-related methods in smart cities. This work provides a reflection of the past eight years of the state of the art on using 5G in smart cities, which can benefit both researchers and practitioners.
... They claimed that based on the simulation results, their method can improve the coverage probability and energy saving at base stations as well as mobile devices, which can fulfill the requirements of coverage and data rate in smart cities. In [89], the authors mentioned that based on their design for the 5G lighting management scenario in smart cities, it addresses three major functions that the existing lighting system is not able (or difficult) to fulfill: real-time and remote control with high security of light poles, efficient energy management, and proactively malfunction identification. ...
Article
Full-text available
5G is the fifth generation wireless network, with a set of characteristics, such as high bandwidth and data rates, massive connectivity, broad coverage, and low latency. The scenarios of using 5G include enhanced Mobile Broadband (eMBB), massive Machine Type Communications (mMTC), and ultra-Reliable and Low-Latency Communications (uRLLC). 5G is expected to support a wide variety of applications, such as city management, healthcare, transportation, agriculture, and energy management. In this paper, we conducted a systematic mapping study that covers the literature published between January 2012 and December 2019 regarding using 5G in smart cities. The scenarios, architecture, technologies, challenges, and lessons learned of using 5G in smart cities are summarized and further analyzed based on 32 selected studies, and the results are that: (1) The studies are distributed over 27 publication venues. 17 studies report results based on academic studies and 13 studies use demonstration or toy examples. Only 2 studies report using 5G in smart cities based on industrial studies. 16 studies include assumptions of 5G network design or smart city scenarios. (2) The most discussed smart city scenario is transportation, followed by public safety, healthcare, city tourism, entertainment, and education. (3) 28 studies propose and/or discuss the architecture of 5G-enabled smart cities, containing smart city architecture (treating 5G as a component), 5G network architecture in smart cities, and business architecture of using 5G in smart cities. (4) The most mentioned 5G-related technologies are radio access technologies, network slicing, and edge computing. (5) Challenges are mainly about complex context, challenging requirements, and network development of using 5G in smart cities. (6) Most of the lessons learned identified are benefits regarding 5G itself or the proposed 5G-related methods in smart cities. This work provides a reflection of the past eight years of the state of the art on using 5G in smart cities, which can benefit both researchers and practitioners in this field.
... It is necessary when deploying infrastructure to take into account, in addition to the regulatory framework, the so-called provisioning cycle of operators. The cycle explains, in broad terms, the internal procedures applied by operators and consists of the following phases: network deployment planning and operating license applications, civil works and infrastructure deployment, equipment operation and maintenance, and decommissioning strategies [38]. ...
Article
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5G has become a reality in Latin America and it is expected to boost the digital revolution with key capabilities, including higher speeds and ultra-low latency, thus enabling innovative solutions and socioeconomic development. But its deployment faces many challenges related to, among other factors, spectrum allocation and infrastructure deployment. In this work we assess the current public policy and regulatory environment in Latin America regarding the adoption and deployment of 5G technology, considering mainly the above-mentioned challenges. From the analysis, it is possible to note that Latin American countries exhibit different levels of commitment and progress in 5G deployment since, for example, the spectrum allocation and assignment for 5G is still underway, and many regulations hamper instead to facilitate the implementation of 5G networks. On the other hand, the analysis confirms the necessity of having public policies and regulations which define flexible, efficient and transparent processes for all aspects related to 5G deployment.
... Третий кластер совсем небольшой (3 термина) и стоит несколько особняком. Он включает в себя технические термины, которые непосредственно относятся к сетевой инфраструктуре умного города [20,21,22]. Собственно, он состоит из: 1) Программно-определяемая сеть (SDN), представляющая собой набор методов, которые позволяют пользователям напрямую программировать, контролировать и управлять сетевыми ресурсами, что облегчает динамическое и масштабируемое проектирование, доставку и эксплуатацию сетевых служб [23]. ...
Conference Paper
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Термин «умный город» в последнее время получил широкое распространение в академическом и политическом дискурсе. Тем не менее, по нашему мнению, это скорее маркетинговый термин, объединяющий ряд технологических (и не только) областей: Интернет вещей (IoT), дополненная и виртуальная реальность (AR / VR), сети связи. Сети последнего поколения необходимы для развития цифровых экосистем умных городов. Мы предположили, что умный город и сети 5G формируют развивающуюся технологическую область. Целью нашей работы является изучение структуры разработки и внедрения новых технологий для городской среды на примере технологий 5G. Для анализа новых технологий в выбранной предметной области нами было проведено исследование патентных ландшафтов и наукометрический анализ тематической области. Объектом наукометрического анализа является изучение закономерностей цитирования. Использование патентного ландшафта основано на информационных системах и базах данных патентной информации, разработанных патентными ведомствами и коммерческими компаниями, и состоит в визуализации логических связей между различными показателями патентной активности, с одной стороны, и технологическими и рыночными тенденциями, с другой. В совокупности наукометрический и патентный ландшафт показывают наиболее перспективные направления технологических исследований. Результаты исследования могут быть использованы в дальнейших теоретических и прикладных исследованиях, при формировании государственной политики в области исследований и разработок, а также при принятии решений в области управления городским хозяйством.
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As a key enabling technology in the emerging network, network slicing can dynamically provide on-demand service with distinct logical slice instance. While most related studies have mainly focused on resource management, this study targets solving business competition between two operator slices using artificial intelligence. In this competition, each operator slice tries to maximize its own payoff, meanwhile its opponent strives to minimize it. Moreover, two operators update their marketing strategies over time. Therefore, predicting its result is a challenge. After the zero-sum Markov game is modeled for the research problem, we present the min-max Q learning algorithm. In each market state, each slice attains its temporary optimal strategy using the min-max algorithm. In the Markov decision process, Q value is dynamically modified under different market states, and the final Q value presents predictive result for this competition. Finally, a mass of numerical results prove that the min-max Q learning algorithm outperforms the repeated game, in which market state is invariable over time.
Development and Implementation of a Smart City Use Case in a 5G Mobile Network's Operator
  • Elena-Madalina Oproiu