5G: Future Mobile Technology-Vision 2020

Patel, Saurabh M.; Chauhan, Malhar; Kapadiya, Kinjal

doi:10.5120/8656-2264

Cited by 31 publications

(26 citation statements)

References 3 publications

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“…We notice that a Nash equilibrium solution will be obtained when we solve (8) for each cloudlet. Therefore, we first simplify the optimal function (8). Then, we calculate the local optimal solution of each cloudlet independently.…”

Section: A Matrix Gamementioning

confidence: 99%

“…According to (16), we can further remove some points out of the feasible zone of the solution. Then, we go back to (8) and find the final solution at the point with the maximum value of F (x i , x i ). The Kuhn-Tucker conditions are able to find the final solution of more than two cooperated cloudlets.…”

Section: Concave Optimization In Each Cloudletmentioning

confidence: 99%

“…The study in [7] discussed the technique of D2D frequency reuse to reduce communications latency. Users can simultaneously have multiple wireless signal sources and switch between them for smooth data transmission [8].…”

mentioning

confidence: 99%

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Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach

Ding

Huang

et al. 2016

IEEE Trans. Veh. Technol.

114

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Abstract-Vehicular networks are expected to accommodate a large number of data-heavy mobile devices and multiapplication services, whereas it faces a significant challenge when we need to deal with the ever-increasing demand of mobile traffic. In this paper, we present a new paradigm of fifth-generation (5G)-enabled vehicular networks to improve network capacity and system computing capability. We extend the original cloud radio access network (C-RAN) to integrate local cloud services to provide a low-cost, scalable, self-organizing, and effective solution. The new C-RAN is named enhanced C-RAN (EC-RAN). Cloudlets in EC-RAN are geographically distributed for local services. Furthermore, device-to-device (D2D) and heterogeneous networks are essential technologies in 5G systems. They can greatly improve spectrum efficiency and support large-scale live video streaming in short-distance communications. We exploit matrix game theoretical approach to operate the cloudlet resource management and allocation. A Nash equilibrium solution can be obtained by a Karush-Kuhn-Tucker (KKT) nonlinear complementarity approach. Illustrative results indicate that the proposed resource-sharing scheme with the geodistributed cloudlets can improve resource utilization and reduce system power consumption. Moreover, with the integration of a software-defined network architecture, a vehicular network can easily reach a globally optimal solution.Index Terms-Cloud radio access network (C-RAN), fifth generation (5G), matrix game, resource management, software-defined network (SDN), vehicular network.

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Section: A Matrix Gamementioning

confidence: 99%

Section: Concave Optimization In Each Cloudletmentioning

confidence: 99%

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Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach

Ding

Huang

et al. 2016

IEEE Trans. Veh. Technol.

114

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“…1 Introduction networks aiming to o er high-speed and personalized services to both humans and machines, when and where needed [4].…”

mentioning

confidence: 99%

Security Challenges of Small Cell as a Service in Virtualized Mobile Edge Computing Environments

Panaousis

Mouratidis

2016

Information Security Theory and Practice

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Abstract. Research on next-generation 5G wireless networks is currently attracting a lot of attention in both academia and industry. While 5G development and standardization activities are still at their early stage, it is widely acknowledged that 5G systems are going to extensively rely on dense small cell deployments, which would exploit infrastructure and network functions virtualization (NFV), and push the network intelligence towards network edges by embracing the concept of mobile edge computing (MEC). As security will be a fundamental enabling factor of small cell as a service (SCaaS) in 5G networks, we present the most prominent threats and vulnerabilities against a broad range of targets. As far as the related work is concerned, to the best of our knowledge, this paper is the rst to investigate security challenges at the intersection of SCaaS, NFV, and MEC. It is also the rst paper that proposes a set of criteria to facilitate a clear and e ective taxonomy of security challenges of main elements of 5G networks. Our analysis can serve as a staring point towards the development of appropriate 5G security solutions. These will have crucial e ect on legal and regulatory frameworks as well as on decisions of businesses, governments, and end-users.

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“…The 5G is going on and expected to be initiated by 2020 [1] to provide extremely high data rate for multimedia applications and internet of things (IoT).…”

Section: Introductionmentioning

confidence: 99%

Multi-Band Omnidirectional Antenna With Hexagonal Prism Shape for Mimo Applications

Wang¹,

Tang²,

Zhang³

2017

PIER C

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Abstract-A multi-band antenna with omnidirectional radiation performance is proposed, which consists of 9 elements to form the structure of hexagonal prism. According to the placement rule, the antenna elements can be divided into two groups, one of which is placed in parallel on spaced three surfaces of the prism and the other placed vertically on the remaining spaced three faces of the prism. Each parallel element consists of two coplanar microstrip radiating patches which are nested within each other for miniaturization. Two parallel microstrips connected by a grounded disc with shorting pin are placed between the two patches to optimize the isolations. Each vertical element consists of two improved dipoles with four arms and a BALUN located at the back of the substrate plate which constitutes the quasi-Yagi structure. The resonant frequencies of the proposed prismatic antenna are 3.45 GHz, 4.9 GHz, 5.8 GHz and 15.2 GHz which can be used for low frequency bands of the fifth generation (5G) wireless communications and wireless local area networks (WLAN) as well as satellite communication applications.

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5G: Future Mobile Technology-Vision 2020

Cited by 31 publications

References 3 publications

Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach

Optimal Resource Sharing in 5G-Enabled Vehicular Networks: A Matrix Game Approach

Security Challenges of Small Cell as a Service in Virtualized Mobile Edge Computing Environments

Multi-Band Omnidirectional Antenna With Hexagonal Prism Shape for Mimo Applications

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