Cellular-Broadcast Service Convergence through Caching for CoMP Cloud RANs

Cellular and Broadcast services have been traditionally treated independently due to the different market requirements, thus resulting in different business models and orthogonal frequency allocations. However, with the advent of cheap memory and smart caching, this traditional paradigm can converge into a single system which can provide both services in an efficient manner. This paper focuses on multimedia delivery through an integrated network, including both a cellular (also known as unicast or broadband) and a broadcast last mile operating over shared spectrum. The subscribers of the network are equipped with a cache which can effectively create zero perceived latency for multimedia delivery, assuming that the content has been proactively and intelligently cached. The main objective of this work is to establish analytically the optimal content popularity threshold, based on a intuitive cost function. In other words, the aim is to derive which content should be broadcasted and which content should be unicasted. To facilitate this, Cooperative Multi- Point (CoMP) joint processing algorithms are employed for the uni and broad-cast PHY transmissions. To practically implement this, the integrated network controller is assumed to have access to traffic statistics in terms of content popularity. Simulation results are provided to assess the gain in terms of total spectral efficiency. A conventional system, where the two networks operate independently, is used as benchmark.Comment: Submitted to IEEE PIMRC 201

Survey: Benefits of integrating both wireless sensors networks and cloud computing infrastructure

Cloud computing has the capabilities of powerful processing and scalable storage with the ability of offline and online data analysis and mining of the collected sensed data from body areas networks. Cloud computing can be considered as the main enabler for modern manufacturing industries. Cloud computing can efficiently serve key areas of manufacturing by aspects of the pay-as-you-go business model, scaling up and down production according to certain demands, more customized solutions, and flexible deployments. In cloud manufacturing, the distributed sensors and resources can be managed in centralized architecture that allows cloud users to request more specific product design, testing at all the stages of the product. This study covers the main points of Integrating Both Wireless Sensors Networks and Cloud Computing Infrastructure and gives a view of the various advantage and disadvantages of methods in integration

Machine learning and blockchain technologies for cybersecurity in connected vehicles

Future connected and autonomous vehicles (CAVs) must be secured againstcyberattacks for their everyday functions on the road so that safety of passengersand vehicles can be ensured. This article presents a holistic review of cybersecurityattacks on sensors and threats regardingmulti-modal sensor fusion. A compre-hensive review of cyberattacks on intra-vehicle and inter-vehicle communicationsis presented afterward. Besides the analysis of conventional cybersecurity threatsand countermeasures for CAV systems,a detailed review of modern machinelearning, federated learning, and blockchain approach is also conducted to safe-guard CAVs. Machine learning and data mining-aided intrusion detection systemsand other countermeasures dealing with these challenges are elaborated at theend of the related section. In the last section, research challenges and future direc-tions are identified

The Song Remains the Same: What Cyberlaw Might Teach the Next Internet Economy

The next stage of the digital economy will involve trillions of networked devices across every industry and sphere of human activity: The Internet of the World. Early manifestations of this evolution through on-demand services such as Uber and Airbnb raise a host of serious legal questions. The stage seems set for a decisive battle between regulation and innovation. Yet this perception is mistaken. In the end, the emerging businesses will welcome government engagement, and regulatory actors will accept creative solutions to achieve their goals. Why expect such a resolution? Because the same story played out twenty years ago, in the early days of the commercial internet. Contemporary debates recapitulate a familiar error: the artificial division of virtual and real-space activity. Now, as in the past, this “digital dichotomy” feeds both excessive skepticism about legal protections and excessive concern about the threats from technology-based innovations. The history of cyberlaw shows the importance of overcoming such perceptions and recognizing the potential of government as an enabler of innovation

Perspective Chapter: 5G Enabling Technologies – Revolutionizing Transport, Environment, and Health

The latest cellular technology, known as 5G, is anticipated to significantly improve the way systems in the physical and social environment (PSE) interact with technology. 5G technologies allow for the creation of a wide range of novel automation and applications. Recently, the Internet of Things (IoT), virtual and augmented reality (VAR), telemedicine, and autonomous vehicles have increased the growth of applications in the PSEs and can further benefit from 5G’s fast data transfer speeds (ranging from 1 to 10 Gbps) and low latency. The introduction of 5G may cause a paradigm shift in the operations of some industries, offer new economic opportunities, and impact our daily lives and relationships with the PSE. In this chapter, we examine how 5G revolutionize transport, the environment, and health. The chapter focuses on recent technologies related to virtual and augmented reality, autonomous vehicles, telemedicine, and edge computing among others

Computational Transformation of the Public Sphere : Theories and Case Studies

This book is an edited collection of MA research paper on the digital revolution of the public and governance. It covers cyber governance in Finland, and the securitization of cyber security in Finland. It investigates the cases of Brexit, the 2016 US presidental election of Donald Trump, the 2017 presidential election of Volodymyr Zelensky, and Brexit. It examines the environmental concerns of climate change and greenwashing, and the impact of digital communication giving rise to the #MeToo and Incel movements. It considers how digitilization can serve to emancipate women through ride-sharing, and how it leads to the question of robot rights. It considers fake news and algorithmic governance with respect to case studies of the Chinese social credit system, the US FICO credit score, along with Facebook, Twitter, Cambridge Analytica and the European effort to regulate and protect data usage.Non peer reviewe

Computational Transformation of the Public Sphere: Theories and Cases

This book is an edited collection of original research papers on the digital revolution of the public and governance. It covers cyber governance in Finland, and the securitization of cyber security in Finland. It investigates the cases of Brexit, the 2016 US presidential election of Donald Trump, the 2017 presidential election of Volodymyr Zelensky, and Brexit. It examines the environmental concerns of climate change and greenwashing, and the impact of digital communication giving rise to the #MeToo and Incel movements. It considers how digitilization can serve to emancipate women through ride-sharing, and how it leads to the question of robot rights. It considers fake news and algorithmic governance with respect to case studies of the Chinese social credit system, the US FICO credit score, along with Facebook, Twitter, Cambridge Analytica and the European effort to regulate and protect data usage

Computational transformation of the public sphere : theories and case studies

Computational Transformation of the Public Sphere is the organic product of what turned out to be an effective collaboration between MA students and their professor in the Global Politics and Communication program in the Faculty of Social Sciences at the University of Helsinki, in the Fall of 2019. The course, Philosophy of Politics and Communication, is a gateway course into this MA program. As I had been eager to conduct research on the impact of new digital technologies and artificial intelligence (AI) on democratic governance, I saw this course as an opportunity to not only share, but also further develop my knowledge of this topic