4.6 Article

Potential-Game-Based 5G RAN Slice Planning for GBR Services

期刊

IEEE ACCESS
卷 11, 期 -, 页码 4763-4780

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3236103

关键词

Radio access networks; Resource management; Game theory; Network slicing; Admission control; 3GPP; Blocking probability; game theory; GBR services; radio resource allocation; RAN slicing planning

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The planning of Radio Access Network (RAN) slices is crucial for the management and orchestration of RAN slices. It involves determining the feasibility of deploying new slices, re-configuring existing ones, and renegotiating agreements if necessary. We propose a framework for planning RAN slices that require Guaranteed Bit Rate (GBR) for their data sessions with a low blocking probability. Through simulations, we demonstrate the effectiveness of our solution in terms of performance and renegotiation capability.
The Radio Access Network (RAN) slice planning is a key phase within the RAN slice management and orchestration process. Based on the performance requirements of requested RAN slices and key performance indicators of the RAN and existing RAN slices, the RAN slice planning mainly consists of deciding (a) the feasibility of deploying new RAN slices; (b) re-configuring the existing RAN accordingly; and (c) the need to renegotiate the Service Level Agreements (SLAs) and/or expand the RAN (i.e., radio resources, carriers, cells etc) if one or more RAN slices cannot be accommodated in a first attempt. Under this context, we propose a framework for planning RAN slices which require their data sessions get a Guaranteed Bit Rate (GBR) and the probability of blocking such sessions is below a threshold. To meet such requirements, our framework plans the amount of prioritized radio resources for new and already deployed RAN slices. We formulate the RAN slice planning as multiple ordinal potential games and demonstrate the existence of a Nash Equilibrium solution which minimizes the average probability of blocking data sessions for all the RAN slices. We perform detailed simulations to demonstrate the effectiveness of the proposed solution in terms of performance, and renegotiation capability.

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