NVS: A Substrate for Virtualizing Wireless Resources in Cellular Networks
By Ravi Kokku, R. Mahindra, Honghai Zhang, Sampath Rangarajan. IEEE/ACM Transactions on Networking, 2012
343 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/a1d6a88bdceb70107c0be1a9599aa8190530af53
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In Computer Networks and Communications
- Tarik Taleb
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Citations in the corpus
- 5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges (2019, background): “ng the spectrum among opera- tors as standardized by 3GPP [300] . These solutions can utilize the available radio resources efficiently and are widely surveyed as network virtualization substrate (NVS) [301,302] . Radio resources for different resource provisioning approaches can be virtualized in ord”
- Wireless Network Virtualization: A Survey, Some Research Issues and Challenges (2015, methodology): “Some works have been done towards this architecture, such as [12], [49], [74].”
- Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions (2015, background): “It is possible that the physical resources that belong to one or more wireless systems are virtualized and split into virtual resource slices [25], which can be either bandwidth-based or resource-based [26].”
- Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning (2018, background): “Consequently, the same physical network infrastructure is able to host multiple wireless service providers (WSPs) [11], [12].”
- Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions (2018, methodology): “In advancing the basic eNB virtualization, the work in [122] introduces the notion of Network Virtualization Substrate (NVS), which operates on top of the MAC scheduler.”
- Resource Slicing in Virtual Wireless Networks: A Survey (2016, methodology): “For points 3 and 4, current works propose different models of the allocation problem, from low-level and highly technology-dependent models (resource-based models) to more general high-level models (throughput-based models) [39].”