Abstract—Network slicing (NwS) is one of the main technologies

in the €…h-generation of mobile communication and

beyond (5G+). One of the important challenges in the NwS

is information uncertainty which mainly involves demand

and channel state information (CSI). Demand uncertainty is

divided into three types: number of users requests, amount

of bandwidth, and requested virtual network functions workloads.

Moreover, the CSI uncertainty is modeled by three

methods: worst-case, probabilistic, and hybrid. In this paper,

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[1] Amir Gharehgoli, Ali Nouruzi, Nader Mokari, Paeiz Azmi, Mohamad Reza Javan, Eduard Jorswieck, "Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/4jps-kt78. Accessed: Jun. 21, 2024.
@data{4jps-kt78-22,
doi = {10.21227/4jps-kt78},
url = {http://dx.doi.org/10.21227/4jps-kt78},
author = {Amir Gharehgoli; Ali Nouruzi; Nader Mokari; Paeiz Azmi; Mohamad Reza Javan; Eduard Jorswieck },
publisher = {IEEE Dataport},
title = {Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties},
year = {2022} }
TY - DATA
T1 - Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties
AU - Amir Gharehgoli; Ali Nouruzi; Nader Mokari; Paeiz Azmi; Mohamad Reza Javan; Eduard Jorswieck
PY - 2022
PB - IEEE Dataport
UR - 10.21227/4jps-kt78
ER -
Amir Gharehgoli, Ali Nouruzi, Nader Mokari, Paeiz Azmi, Mohamad Reza Javan, Eduard Jorswieck. (2022). Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties. IEEE Dataport. http://dx.doi.org/10.21227/4jps-kt78
Amir Gharehgoli, Ali Nouruzi, Nader Mokari, Paeiz Azmi, Mohamad Reza Javan, Eduard Jorswieck, 2022. Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties. Available at: http://dx.doi.org/10.21227/4jps-kt78.
Amir Gharehgoli, Ali Nouruzi, Nader Mokari, Paeiz Azmi, Mohamad Reza Javan, Eduard Jorswieck. (2022). "Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties." Web.
1. Amir Gharehgoli, Ali Nouruzi, Nader Mokari, Paeiz Azmi, Mohamad Reza Javan, Eduard Jorswieck. Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/4jps-kt78
Amir Gharehgoli, Ali Nouruzi, Nader Mokari, Paeiz Azmi, Mohamad Reza Javan, Eduard Jorswieck. "Codes of paper: AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties." doi: 10.21227/4jps-kt78