Resource allocation in an open RAN system using network slicing
Motalleb, Mojdeh Karbalaee; Shah-Mansouri, Vahid; Parsaeefard, Saeedeh; Alcaraz López, Onel Luis (2022-09-13)
M. Karbalaee Motalleb, V. Shah-Mansouri, S. Parsaeefard and O. L. Alcaraz López, "Resource Allocation in an Open RAN System Using Network Slicing," in IEEE Transactions on Network and Service Management, vol. 20, no. 1, pp. 471-485, March 2023, doi: 10.1109/TNSM.2022.3205415
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https://urn.fi/URN:NBN:fi-fe2023040434986
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Abstract
The next radio access network (RAN) generation, open RAN (O-RAN), aims to enable more flexibility and openness, including efficient service slicing, and to lower the operational costs in 5G and beyond wireless networks. Nevertheless, strictly satisfying quality-of-service requirements while establishing priorities and promoting balance between the significantly heterogeneous services remains a key research problem. In this paper, we use network slicing to study the service-aware baseband resource allocation and virtual network function (VNF) activation in O-RAN systems. The limited fronthaul capacity and end-to-end delay constraints are simultaneously considered. Optimizing baseband resources includes O-RAN radio unit (O-RU), physical resource block (PRB) assignment, and power allocation. The main problem is a mixed-integer non-linear programming problem that is non-trivial to solve. Consequently, we break it down into two different steps and propose an iterative algorithm that finds a near-optimal solution. In the first step, we reformulate and simplify the problem to find the power allocation, PRB assignment, and the number of VNFs. In the second step, the O-RU association is resolved. The proposed method is validated via simulations, which achieve a higher data rate and lower end-to-end delay than existing methods.
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