of network slicing enables the operation
of multiple logical networks over a single physical infrastruc-
ture in order to reduce total cost, decrease energy consump- tion, and simplify network functions
in comparison to one network for different
use-cases/business scenarios. In a slice- based network, each slice should be provided with its own specific characteristics and will be considered as a single logical network. In this way, the infrastructure utilization and resource allocation will be much more energy and cost efficient in comparison to traditional network.
Implementation of network slicing over 5G communi-
cation system arises many technical challenges, which are expected to be solved. There are also some business and economic issues (e.g. total cost, revenue, etc.) that need for significant optimization and re-designing in order to cope with new network architecture. On the other hand, the demand for broadband multimedia services has been increasing explosively, with this ongoing trend, the revenue of mobile network operators will soon be exceeded
Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) required to operate the infrastructure. Therefore, total cost, expected revenue, and resource
allocation in the context of network
slicing are seemed to be very interesting
research topics, which need for further discovery.
In this paper, we provide a comprehensive discussion on concept
and system architecture of network slicing with
particular focus on its business aspect and profit modeling. We throughly discuss two different
dimensions of profit modeling i.e. own-slice
implementation and resource leasing
for outsourced slices. We
challenges and open research directions in order to add new contributions
and provide realistic solutions to existing problems in the field of network slicing implementation of 5G system. The
reminder of this paper is structured as of following: Sec. II
reviews state-of-the art in the field of network slicing.
and system architecture of network slicing
for 5G mobile communication system. Sec. IV presents business aspect and two
dimensions of profit modeling. Following that, we provide future research directions in Sec. V. Finally, a summary of this
work is given in Sec. VI.