Abstract-Research on network slicing for multi-tenant heterogeneous cloud radio access networks (H-CRANs) is still in its infancy. In this paper, we redefine network slicing and propose a new network slicing framework for multi-tenant HCRANs. In particular, the network slicing process is formulated as a weighted throughput maximization problem that involves sharing of computational resources, fronthaul capacity, physical remote radio heads and radio resources. The problem is then jointly solved using a sub-optimal greedy approach and a dual decomposition method. Simulation results demonstrate that the framework can flexibly scale the throughput performance of multiple tenants according to the user priority weights associated with the tenants.
In REF , a network slicing scheme for multitenant H-CRANs was proposed as a process of assigning BBU capacity, RRHs and radio resources to the users.
A new network slicing framework for multi-tenant heterogeneous cloud radio access networks
2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES)
2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES)
Computer Science