5G; CF-RAN over WDM; eMBB; mMTC; Network Slicing; URLLC; 5g; CF-radio access network over wavelength division multiplexing; Enhanced mobile broadband; Low-latency communication; Machinetype communication (MTC); Massive machine type communication; Mobile broadband; Network slicing; Radio access networks; Ultra-reliable low-latency communication; Artificial Intelligence; Computer Networks and Communications; Signal Processing
Abstract :
[en] Fifth generation (5G) mobile networks will utilize network slicing to support a diverse range of services, each with distinct specifications for data rate, latency, and reliability. These services are broadly classified into 3 main categories: ultra-reliable low-latency communication (URLLC), enhanced mobile broadband (eMBB), and massive machine type communication (mMTC). Network slicing efficiently provisions these services by creating multiple virtual networks over the same physical infrastructure using network function virtualization (NFV). In this paper, we propose a traffic-aware network slicing scheme by levaraging a 3-layer cloud fog radio access network (RAN) (CF-RAN) over wavelength division multiplexing (WDM) architecture. This network architecture consists of remote radio heads (RRHs) at the first layer, fog nodes at the second layer, and baseband unit (BBU) hotels at the third layer. The fronthaul for incoming URLLC requests are served at the fog nodes because of their stringent latency requirements, while the fronthaul for eMBB and mMTC requests is handled at BBU hotels. The proposed architecture dynamically adapts to the random traffic generated by each RRH. Furthermore, we propose a heuristic algorithm to investigate how changes in the service request ratio effects the overall performance of the proposed architecture. The algorithm minimizes resource utilization while maintaining maximum network connectivity. The results demonstrate the impact of incoming slice request variation on the number of active nodes, number of served requests, and aggregated fronthaul delay.
Disciplines :
Electrical & electronics engineering
Author, co-author :
MUHAMMAD, Ahsan ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ahmed, Ashfaq; Khalifa University, Comp. & Commun. Eng. Dept., Abu Dhabi, United Arab Emirates
Ekin, Sabit; Texas A&m University, Eng. Tech. & Ind. Dist. Dept., United States
O'Hara, John; Oklahoma State University, Elect. & Comp. Eng. Dept., Stillwater, United States
Ahmad, Arsalan; Nust, Pakistan ; Elect. & Comp. Eng. Dept., Iowa State University, United States
✱ These authors have contributed equally to this work.
External co-authors :
yes
Language :
English
Title :
Traffic-Aware Network Slicing for 5G Networks in Cloud Fog-RAN over WDM Architecture
Publication date :
28 May 2024
Event name :
2024 International Conference on Smart Applications, Communications and Networking (SmartNets)
Event place :
Hybrid, Harrisonburg, Usa
Event date :
28-05-2024 => 30-05-2024
Main work title :
2024 International Conference on Smart Applications, Communications and Networking, SmartNets 2024
Publisher :
Institute of Electrical and Electronics Engineers Inc.
This material is based upon work supported in part by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Early Career Research Program under Award Number DESC- 0023957, and in part by the National Science Foundation under Grant No. 2323300.
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