Abstract
Network slicing- (NS-) based cloud radio access networks (C-RANs) have emerged as a key paradigm to support various novel applications in 5G and beyond networks. However, it is still a challenge to allocate resources efficiently due to heterogeneous quality of service (QoS) requirements of diverse services as well as competition among different network slices. In this paper, we consider a service provisioning allocation framework to guarantee resource utilization while ensuring the QoS of users. Specifically, an inter/intraslice bandwidth optimization strategy is developed to maximize the revenue of the system with multiple network slices. The proposed strategy is hierarchically structured, which decomposes into network-level slicing and packet scheduling level slicing. At the network level, resources are allocated to each slice. At the packet scheduling level, each slice allocates physical resource blocks (PRBs) among users associated with the slice. Numerical results show that the proposed strategy can effectively improve the revenue of the system while guaranteeing heterogeneous QoS requirements. For example, the revenue of the proposed strategy is 21% higher than that of the average allocation strategy.
Highlights
Many new applications have emerged due to the evolution of the Internet of ings (IoT) [1], such as Augmented Reality, Internet of Vehicles, and IoT devices
In order to meet the diverse quality of service (QoS) requirements in different scenarios, that is, enhanced Mobile Broadband, massive Machine Type Communication, and Ultrareliable Low Latency Communication (URLLC), the cloud radio access networks (C-RANs) should be sliced for provisioning tailored services [6, 7]
Baseline I and baseline II are similar to our proposed scheme, baseline I addresses the issue of channel state information (CSI) uncertainty, and baseline II addresses the issue of user traffic variation
Summary
Many new applications have emerged due to the evolution of the Internet of ings (IoT) [1], such as Augmented Reality, Internet of Vehicles, and IoT devices. In order to serve the massively growing wireless data traffic, cloud radio access networks (C-RANs) have emerged as a key enabling technology for the generation wireless communications [2, 3]. NS is the operators’ technique that separates multiple virtual end-to-end networks on a unified infrastructure and can provide different service segregation. In order to meet the diverse quality of service (QoS) requirements in different scenarios, that is, enhanced Mobile Broadband (eMBB), massive Machine Type Communication (mMTC), and Ultrareliable Low Latency Communication (URLLC), the C-RAN should be sliced for provisioning tailored services [6, 7]. Us, from both user QoS and network resource utilization perspectives, an Wireless Communications and Mobile Computing appropriate service provisioning scheme is needed to improve both network and user performance by inter/intraslice resources allocation C-RAN slicing is more complex than core NS because of the uncertainty of the wireless channel. us, from both user QoS and network resource utilization perspectives, an Wireless Communications and Mobile Computing appropriate service provisioning scheme is needed to improve both network and user performance by inter/intraslice resources allocation
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