2018 · 127 citations · 23 references
ComputingComputer EngineeringComputer ScienceComputer NetworksDigital CommunicationInternet Of ThingsCommunication NetworksCommunication SystemsIot NetworkingNetwork ArchitectureNetwork ProtocolsWireless NetworksLow-latency NetworkingNetwork Latency MitigationNetwork Performance OptimizationRobustnessTelecommunication InfrastructureTelepresence
Future technologies such as holographic telepresence, instant data transmission, remote surgery, minimal IoT terminals, and autonomous transport will generate massive traffic and require robust network support. The study aims to estimate the architecture of next‑generation networks to meet these emerging demands. The proposed architecture addresses existing network gaps to deliver maximum robustness, ultra‑low latency, and ubiquitous coverage for new applications.
New technologies are approaching with big footsteps. In the decades ahead it is expected significant changes in technologies regarding to new types of devices, system and functions that they perform. We are expecting new services with various requirements, and new applications such as holographic telepresence, instant data transmission, remote surgery, minimized IoT terminals, autonomous transportation system, etc. Wide adaptation of new applications depends on how good they are supported by the network infrastructure. That is why the estimation of next generation network architecture is required. By the year 2030 the applications of new technologies are expected to generate an enormous amount of traffic. The architecture of the future networks must consider all the gaps of already existing networks in order to ensure the highest robustness, extremely low latency, Ubiquitous coverage as new applications and services require.
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Cloud assisted HetNets toward 5G wireless networks
Ning Zhang, Nan Cheng, Amila Tharaperiya Gamage et al. · IEEE Communications Magazine · 2015 · 322 citations