A Context-aware Radio Access Technology selection mechanism in 5G mobile network for smart city applications

Habbal, Adib; Goudar, Swetha Indudhar; Hassan, Suhaidi

doi:10.1016/j.jnca.2019.02.019

Cited by 52 publications

(32 citation statements)

References 16 publications

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“…However, the complexity reduces to cubic in the absence of multihoming and reduces to linear when only two access devices are considered. Regarding convergence, the algorithm converges to Nash Equilibrium with the average Paretoefficiency gap bound defined by (24) and (25).…”

Section: Discussionmentioning

confidence: 99%

“…Cooperation between user equipment and network devices is proposed, along with the use of machine-learning for network optimization. An approach using context-aware RAT selection is proposed in [24]. The presented experimental results indicate that context-aware RAT selection outperforms conventionally used RAT selection techniques, including signal strength, link throughput, and network delay.…”

Section: B Related Workmentioning

confidence: 97%

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Client-Centric Access Device Selection for Heterogeneous QoS Requirements in Beyond 5G IoT Networks

2020

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Section: Discussionmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 97%

Client-Centric Access Device Selection for Heterogeneous QoS Requirements in Beyond 5G IoT Networks

2020

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“…The paper presents a proof-of-concept for 6G networks, arguing that better data rates could be achieved by cooperatively involving UEs and network devices to make machine learning-based network optimization decisions compared to network-centric approaches. In a contextaware radio access technology selection technique, client and network contexts are considered for choosing a RAT [18]. Results show such a context-aware approach outperforms conventional RAT selection approaches like received signal strength, number of handovers, delay, and throughput, etc.…”

Section: Controller and Clientmentioning

confidence: 99%

Beyond 5G: Hybrid End-to-End Quality of Service Provisioning in Heterogeneous IoT Networks

et al. 2020

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A significant increase is expected in video and multimedia traffic in Beyond 5G networks. The inclusion of a huge number of IoT nodes in Beyond 5G networks further complicates the design of such networks. These futuristic networks are expected to deal with this increased traffic and number of nodes while ensuring that network delays do not exceed a certain threshold. In such networks, Quality of Service (QoS) provisioning has become vital, not only to guarantee certain key performance indicators but also to improve user experience. This paper proposes a hybrid approach for end-to-end QoS provisioning, involving both clients and controllers to address these challenges. Each client tries to satisfy its own access QoS requirements by choosing optimal access device(s) and makes decisions based on locally available view. Controllers are then responsible for finding optimal paths in the core network to satisfy client core QoS requirements. Experimental results show that the proposed approach provides better QoS guarantees than several other access device selection and routing schemes.

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“…Таble 4. TOPSIS Method in Technology Selection Authors (year) Type of Technology [Habbal et al, 2019] radio access technologies [Gladysz et al, 2017;Wan et al, 2016] radio frequency identification (RFID) [Zhang et al, 2019] energy storage technology [Restrepo-Garcés et al, 2017;Hirushie et al, 2017] renewable energy sources [Karatas et al, 2018] energy technology [Streimikiene, 2013a,b;Streimikiene et al, 2013;Streimikiene, Balezentiene, 2012] electric vehicles [Zheng et al, 2012] green buildings [Peng et al, 2019] restoration technology in engine remanufacturing practice [Aloini et al, 2018] advanced underwater system [Büyüközkan, Güler, 2017] smart glass (SG) [Ansari et al, 2016;Puthanpura et al, 2015] automotive technology [Elahi et al, 2011] ABS sensor technology [Govind et al, 2018] treatment and disposal technology [Ren, 2018] ballast water treatment [Vivekh et al, 2017] desalination technology [Kalbar et al, 2012;Fu et al, 2012] wastewater treatment technology [Jiří, 2018;Mobinizadeh et al, 2016;Gajdoš et al, 2015;Lu et al, 2016] health technology [Lee, James Chou, 2016] emerging three-dimensional integrated circuit (3DIC) [Tavana et al, 2013] advanced-technology projects at NASA [Oztaysi, 2014] information technology [Towhidi et al, 2009] iron-making technology [Parkan, Wu, 1999] robots to perform repetitious, difficult, and hazardous tasks with precision…”

Section: Literature Reviewmentioning

confidence: 99%

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2020

Foresight and STI Governance

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is an international interdisciplinary peer-reviewed openaccess journal. It publishes original research articles, offering new theoretical insights and practice-oriented knowledge in important areas of strategic planning and the creation of science, technology, and innovation (STI) policy, and it examines possible and alternative futures in all human endeavors in order to make such insights available to the right person at the right time to ensure the right decision. The journal acts as a scientific forum, contributing to the interaction between researchers, policy makers, and other actors involved in innovation processes. It encompasses all facets of STI policy and the creation of technological, managerial, product, and social innovations. Foresight and STI Governance welcomes works from scholars based in all parts of the world. Topics covered include: • Foresight methodologies and best practices; • Long-term socioeconomic priorities for strategic planning and policy making; • Innovative strategies at the national, regional, sectoral, and corporate levels; • The development of National Innovation Systems; • The exploration of the innovation lifecycle from idea to market; • Technological trends, breakthroughs, and grand challenges; • Technological change and its implications for economy, policy-making, and society; • Corporate innovation management; • Human capital in STI; and many others. The target audience of the journal comprises research scholars, university professors, postgraduates, policy-makers, business people, the expert community, undergraduates, and others who are interested in S&T and innovation analyses, foresight studies, and policy issues.

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A Context-aware Radio Access Technology selection mechanism in 5G mobile network for smart city applications

Cited by 52 publications

References 16 publications

Client-Centric Access Device Selection for Heterogeneous QoS Requirements in Beyond 5G IoT Networks

Client-Centric Access Device Selection for Heterogeneous QoS Requirements in Beyond 5G IoT Networks

Beyond 5G: Hybrid End-to-End Quality of Service Provisioning in Heterogeneous IoT Networks

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