Publication | Closed Access
Dynamic Network Slicing for Multitenant Heterogeneous Cloud Radio Access Networks
149
Citations
44
References
2018
Year
5G Network SlicingDynamic Network SlicingAdmission ControlRadio Resource AllocationEngineeringCross-layer OptimizationQos PerformanceNetwork SlicingEdge ComputingRadio Access ProtocolCloud ComputingQuality-of-serviceComputer EngineeringMobile ComputingHeterogeneous NetworkAdvanced NetworkingHeterogeneous NetworksMultitenant H-crans
Multitenant cellular network slicing has gained significant interest, yet its application in heterogeneous cloud radio access network (H‑CRAN) architecture remains underexplored. This paper proposes a dynamic network slicing scheme for multitenant H‑CRANs that accounts for tenant priority, baseband resources, fronthaul/backhaul capacities, QoS, and interference. The scheme comprises an upper‑level module for admission control, user association, and baseband resource allocation, and a lower‑level module for radio resource allocation among users. Simulations demonstrate that the scheme achieves higher network throughput, fairness, and QoS performance than several baseline methods.
Multitenant cellular network slicing has been gaining huge interest recently. However, it is not well-explored under the heterogeneous cloud radio access network (H-CRAN) architecture. This paper proposes a dynamic network slicing scheme for multitenant H-CRANs, which takes into account tenants' priority, baseband resources, fronthaul and backhaul capacities, quality of service (QoS), and interference. The framework of the network slicing scheme consists of an upper-level, which manages admission control, user association, and baseband resource allocation; and a lower-level, which performs radio resource allocation among users. Simulation results show that the proposed scheme can achieve a higher network throughput, fairness, and QoS performance compared with several baseline schemes.
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