Network Slicing in 5G: Survey and Challenges
By Xenofon Foukas, G. Patounas, A. Elmokashfi, Mahesh K. Marina. IEEE Communications Magazine, 2017
1,071 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/effe4bf37b40247a30a82d9ecb5e6cf8e07bb13f
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In Computer Networks and Communications
- Dinh Thai Hoang
- Dinh C. Nguyen
- Pubudu N. Pathirana
- Ming Ding
- Aruna Prasad Seneviratne
- Shalitha Wijethilaka
- Madhusanka Liyanage
- Ying-Chang Liang
In Electrical and Electronic Engineering
- Dinh Thai Hoang
- Dusist Niyato
- Dong In Kim
- Andreas F. Molisch
- Dinh C. Nguyen
- Pubudu N. Pathirana
- Ying-Chang Liang
- Ping Wang
Citations in the corpus
- Blockchain for 5G and Beyond Networks: A State of the Art Survey (2019, background): “network slicing also brings many unprecedented security challenges which consist of inter-slice security threats and the issues of resource harmonization between inter-domain slice segments [123], [124].”
- A Survey on Security and Privacy of 5G Technologies: Potential Solutions, Recent Advancements, and Future Directions (2020, background): “In addition, when UEs are capable of accessing all network slices separately then either they should authenticate themselves before accessing each slice or they need to first access the low security slice by authentication then access high security slice [206], [208].”
- Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “This allows creating multiple logical networks (called slices) on top of a physical infrastructure of different service providers [214], [235]–[237].”
- Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, background): “It is essential for coordinating and governing the allocation of virtualized resources and for creating slices of functionalities aiming at fully satisfying the needs of specific applications [104].”
- Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (2018, background): “Network slicing [157] and NFV [97] are two emerging concepts for resource allocation in the 5G ecosystem to provide cost-effective services with better performance.”
- 5G Key Technologies for Smart Railways (2020, background): “25 ms-50 ms, and the packet error rate is lower than 10−9 [17].”
- Survey on Network Slicing for Internet of Things Realization in 5G Networks (2021, background): “Future research areas of network slicing with open research problems are highlighted in [19], [21], [22], [25], [26], [28], [29].”
- An Overview of Network Slicing for 5G (2019, background): “1 presents a solution architecture of network slice MANO based on the enhancement of the NFV MANO framework.”
- Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, background): “Foukas et al. [62] reviewed existing works on 5G network slicing and proposed several challenges that network slicing faces.”
- Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “[44] A survey and insights on network slicing in 5G.”
- 5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges (2019, background): “Foukas et al. [19] presented a survey of network slicing in the 5G context and identify some challenges regarding service-oriented 5G. Yousaf et al. [10] presented the design of a flexible 5G architecture for network slicing with an emphasis on techniques that ultimately provide flexi-ble…”