EURO 2024 Copenhagen
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119. Dynamic Capacity Management in 5G Networks

Invited abstract in session WD-39: Analysis of Stochastic Models II, stream Stochastic Modelling.

Wednesday, 14:30-16:00
Room: 35 (building: 306)

Authors (first author is the speaker)

1. Demet Batur
Supply Chain Management and Analytics, University of Nebraska-Lincoln
2. Jennifer Ryan
College of Business Administration, University of Nebraska–Lincoln
3. Mehmet C Vuran
School of Computing, University of Nebraska-Lincoln

Abstract

We study the decision problem faced by the operator of a private 5G network, known as a private cell, who must allocate available capacity to meet the resource needs of the primary user of the network. The operator may lease excess capacity to external secondary users to generate additional revenue. Private cells are privately owned wireless networks. Industries such as manufacturing and transportation utilize private cells to prevent downtime for their automated operations. Private cells use network slicing, a technological advancement made available by 5G, to meet differentiated application needs. Under slicing, the network's resources can be dynamically segmented to support specific applications. Network slicing also allows the resource capacity currently not used by the primary user to be leased to a secondary user, such as a broker. Given this setting, we study the problem faced by an operator whose main responsibility is to serve the slice instances of the private cell's primary user but who can also lease excess resources to a secondary user to generate revenue. Primary user slice instances require a specific combination of network resources, such as spectrum, computation, or storage. The operator determines which instances will be admitted to the network for service and which resources can be leased to the secondary user. We use an MDP model to formulate this problem and characterize the optimal admission and leasing decisions.

Keywords

Status: accepted


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