Abstract
Network slicing is a promising technology that can tailor the network to support diverse types of services over a common physical network infrastructure, and tenants can lease the customized slices from network providers to provide customized services for their users. This paper focuses on tenant profit optimization in 5G Radio Access Network (RAN) slicing and analyzes slice resource reservation and reconfiguration operation. A slice cost model is proposed, in which a base cost is included to compensate reconfiguration management overhead for the network providers. Increasing the accuracy of tenant resource requirement prediction can decrease tenant cost while guaranteeing QoS of its users. Further, we analyze the price strategy based on user traffic, and propose several alternative price scheme. In slicing across multiple Base Stations (BSs) scenario, we study two slice management operations, called slice mergence/split, similar but not identical to the breathing behavior of conventional cellular BS management. The tenant profit optimization problem across adjacent BSs is formulated, which can be used in slice mergence/splilt decision making. Taking VR (Virtual Reality) application as an example, simulation in allusion to the typical user arrival process is performed. The simulation indicates how these two operations can increase tenant profits.
Highlights
Traditional ‘‘one size fits all’’ network architecture is no more efficient meeting variety of services and applications requirement
In this paper, we focused on the problem of slice management for maximizing profits of slice tenants
Compared with the traditional slice scheme, in which slices were deployed consistently with the Base Stations (BSs) physical topology, we considered that a slice can overlap several cells according to the actual traffic load of the total network
Summary
Traditional ‘‘one size fits all’’ network architecture is no more efficient meeting variety of services and applications requirement. Frequent slice reconfiguration incurred certain cost and might cause service interruption and the cost model of network slice reconfiguration in CN was proposed in [4] These papers mainly focused on the maximization of network utilization from the perspective of the network providers with enough tenant requirements, and less attention was paid to the single-tenant profit aspect. Once the user data traffic decreases greatly, maintaining of redundant resources in slice cause unnecessary costs and tenant can request to reconfigure slice to release redundant resources or reselect BSs. the reconfiguration of the slice results in some QoS losses of connected users, and signaling overheads (e.g. new configuration information (MIB/SIB) need to broadcast). In the perspective of the network providers, slice reconfiguration will cause extra overhead and it can increase the base cost or RB per price, which can drive a tenant to tend to request fewer reconfiguration
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