Enabling RAN Slicing Through Carrier Aggregation in mmWave Cellular Networks

The ever increasing number of connected devices and of new and heterogeneous mobile use cases implies that 5G cellular systems will face demanding technical challenges. For example, Ultra-Reliable Low-Latency Communication (URLLC) and enhanced Mobile Broadband (eMBB) scenarios present orthogonal Quality of Service (QoS) requirements that 5G aims to satisfy with a unified Radio Access Network (RAN) design. Network slicing and mmWave communications have been identified as possible enablers for 5G. They provide, respectively, the necessary scalability and flexibility to adapt the network to each specific use case environment, and low latency and multi-gigabit-per-second wireless links, which tap into a vast, currently unused portion of the spectrum. The optimization and integration of these technologies is still an open research challenge, which requires innovations at different layers of the protocol stack. This paper proposes to combine them in a RAN slicing framework for mmWaves, based on carrier aggregation. Notably, we introduce MilliSlice, a cross-carrier scheduling policy that exploits the diversity of the carriers and maximizes their utilization, thus simultaneously guaranteeing high throughput for the eMBB slices and low latency and high reliability for the URLLC flows.Comment: 8 pages, 8 figures. Proc. of the 18th Mediterranean Communication and Computer Networking Conference (MedComNet 2020), Arona, Italy, 202

Efficient Resource Allocation of Latency Aware Slices for 5G Networks

It’s noticed that 5G mobile networks are considered to be an emerging technology that serve multiple users with varying types of applications having different quality of service (QoS) needs. Network slicing enables us to accommodate diverse services on the same infrastructure by using multiple virtual networks on the same physical infrastructure of the network. In this paper, a resource allocation framework to fairly share the network resources among different slices subject to delay sensitive requirements based on the priority factor of each slice to use the available radio resources efficiently is proposed. This priority factor depends on the weight of each slice and considering the quality of service of each one. The proposed framework ensures that each slice can share the high limits of allowable resources to achieve the least allowable latency as it is the most significant feature in 5G cellular networks. Packet loss and packet scheduling delay are used as performance metrics when comparing with other existing resource allocation algorithms. The simulation validated that our framework could serve the delay sensitive slices with the least allowable delay and a guaranteed throughput