5G mobile technology: A survey

Mitra, Rupendra Nath; Agrawal, Dharma P.

doi:10.1016/j.icte.2016.01.003

Cited by 228 publications

(118 citation statements)

References 21 publications

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“…This ranking is fully consistent with the 5G Vision [1] according to which 5G will be driven by software and network functions that will run especially at the edge of the network for meeting performance targets. In addition, D2D and AdHoc networking are expected to be adopted as a means to accommodate the increased traffic (increase the cell capacity) and offer various proximity services [45]. Finally, the integration of networking, computing and storage resources into one programmable and unified infrastructure will allow fixed-mobile and/or access-core convergence [1] providing the same services in any environment.…”

Section: Figure 13: Fuzzy Evaluation Of Flexibility Sub-criteriamentioning

confidence: 99%

Assessment of socio-techno-economic factors affecting the market adoption and evolution of 5G networks: Evidence from the 5G-PPP CHARISMA project

Neokosmidis

Rokkas

Parker

et al. 2017

Telematics and Informatics

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Please cite this article as: Neokosmidis, I., Rokkas, T., Parker, M.C., Koczian, G., Walker, S.D., Shuaib Siddiqui, M., Escalona, E., Assessment of socio-techno-economic factors affecting the market adoption and evolution of 5G networks: evidence from the 5G-PPP Charisma project, Telematics and Informatics (2016), doi: http://dx.doi.org/ 10.1016/j.tele. 2016.11.007 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. and social aspects that will affect the deployment and the rate of adoption of 5G networks by the general public. In this paper, a roadmapping activity identifying the key technological and socio-economic issues is performed, so as to help ensure a smooth transition from the legacy to future 5G networks. Based on the fuzzy Analytical Hierarchy Process (AHP) method, a survey of pairwise comparisons has been conducted within the CHARISMA project by 5G technology and deployment experts, with several critical aspects identified and prioritized. The conclusions drawn are expected to be a valuable tool for decision and policy makers as well as for stakeholders. Assessment

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Section: Figure 13: Fuzzy Evaluation Of Flexibility Sub-criteriamentioning

confidence: 99%

Assessment of socio-techno-economic factors affecting the market adoption and evolution of 5G networks: Evidence from the 5G-PPP CHARISMA project

Neokosmidis

Rokkas

Parker

et al. 2017

Telematics and Informatics

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show abstract

“…on the other hand, every time the MH hears an announcement from an agent that's not within the checklist, the MH reflects that it's moved; consequently it introduces the address new agent in its list and associates with it. Additionally, when the present care-of-address ends, the MH affiliates using the FA that promoted lately [4], [24]. This formula works nicely in simulations utilizing instant stereo versions where all packets are effectively sent inside the perfect group addressing the fixed conversation selection of a BS (i.e., the free-space model and also the two-ray ground representation design).…”

Section: The Drawback Of the Present Ns2 Component For Cellular Ipmentioning

confidence: 94%

Fast Handoff in Wireless Communication Technology

Tyagi¹

2017

IJWMCIS

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“…Mobile networks worldwide consume 0.5 % of the world's total energy, so one of the main issues should be taken into consideration in the coming 5G mobile network is reducing the consumption of energy [77]. In [78] a project called 5GrEEn introduces energy-efficient and low latency heterogeneous network (HetNet) architecture.…”

Section: Energy Efficiencymentioning

confidence: 99%