QoS-driven resource allocation in fog radio access network: A VR service perspective

Wenjing Lv; Jue Chen; Songlin Cheng; Xihe Qiu; Dongmei Li; Wenjing Lv; Jue Chen; Songlin Cheng; Xihe Qiu; Dongmei Li

doi:10.3934/mbe.2024068

Mathematical Biosciences and Engineering

2024, Volume 21, Issue 1: 1573-1589. doi: 10.3934/mbe.2024068

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QoS-driven resource allocation in fog radio access network: A VR service perspective

1.
College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2.
School of Electronic and Information Engineering, Shanghai Dianji University, Shanghai 201306, China

Academic Editor: José M Jimenez

Received: 31 October 2023 Revised: 11 December 2023 Accepted: 12 December 2023 Published: 02 January 2024

While immersive media services represented by virtual reality (VR) are booming, They are facing fundamental challenges, i.e., soaring multimedia applications, large operation costs and scarce spectrum resources. It is difficult to simultaneously address these service challenges in a conventional radio access network (RAN) system. These problems motivated us to explore a quality-of-service (QoS)-driven resource allocation framework from VR service perspective based on the fog radio access network (F-RAN) architecture. We elaborated details of deployment on the caching allocation, dynamic base station (BS) clustering, statistical beamforming and cost strategy under the QoS constraints in the F-RAN architecture. The key solutions aimed to break through the bottleneck of the network design and to deep integrate the network-computing resources from different perspectives of cloud, network, edge, terminal and use of collaboration and integration. Accordingly, we provided a tailored algorithm to solve the corresponding formulation problem. This is the first design of VR services based on caching and statistical beamforming under the F-RAN. A case study provided to demonstrate the advantage of our proposed framework compared with existing schemes. Finally, we concluded the article and discussed possible open research problems.
- virtual reality (VR),
- fog radio access network architecture (F-RAN),
- edge caching,
- fog computing,
- statistical beamforming
Citation: Wenjing Lv, Jue Chen, Songlin Cheng, Xihe Qiu, Dongmei Li. QoS-driven resource allocation in fog radio access network: A VR service perspective[J]. Mathematical Biosciences and Engineering, 2024, 21(1): 1573-1589. doi: 10.3934/mbe.2024068

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Abstract

While immersive media services represented by virtual reality (VR) are booming, They are facing fundamental challenges, i.e., soaring multimedia applications, large operation costs and scarce spectrum resources. It is difficult to simultaneously address these service challenges in a conventional radio access network (RAN) system. These problems motivated us to explore a quality-of-service (QoS)-driven resource allocation framework from VR service perspective based on the fog radio access network (F-RAN) architecture. We elaborated details of deployment on the caching allocation, dynamic base station (BS) clustering, statistical beamforming and cost strategy under the QoS constraints in the F-RAN architecture. The key solutions aimed to break through the bottleneck of the network design and to deep integrate the network-computing resources from different perspectives of cloud, network, edge, terminal and use of collaboration and integration. Accordingly, we provided a tailored algorithm to solve the corresponding formulation problem. This is the first design of VR services based on caching and statistical beamforming under the F-RAN. A case study provided to demonstrate the advantage of our proposed framework compared with existing schemes. Finally, we concluded the article and discussed possible open research problems.

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