@inproceedings{be8544b974084da0a55e1d051564cf52,
title = "Genetic Algorithm for Inter-Slice Resource Management in 5G Network with Isolation",
abstract = "Network Slicing is one of the key technologies in 5G networks; this can establish an end-to-end logical network comprising dedicated and shared resources to satisfy diverse QoS requirements for heterogeneous services. In this work, using Real-Encoded Genetic Algorithms (GA), we have developed a novel approach to achieve the optimal inter-slice resource management, the objective being to minimize the number of unqualified users who have not obtained the required bitrate to meet their desired QoS, while minimizing the inter-slice radio resource isolation as estimated by a factor we term 'Isolation Factor' (IF). IF is a novel concept proposed in this work to estimate the degree of inter-slice radio resource isolation caused by intercell interference between slices in different cells. The proposed real number encoding scheme for this method requires no prior knowledge about network traffic models and provides high scalability and flexibility.",
keywords = "Genetic Algorithm, QoS, isolation, multiple objective optimization, network slicing",
author = "Xu Yang and Yue Liu and Wong, {Ieok Cheng} and Yapeng Wang and Laurie Cuthbert",
note = "Publisher Copyright: {\textcopyright} 2020 University of Split, FESB.; 28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020 ; Conference date: 17-09-2020 Through 19-09-2020",
year = "2020",
month = sep,
day = "17",
doi = "10.23919/SoftCOM50211.2020.9238298",
language = "English",
series = "2020 28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Dinko Begusic and Nikola Rozic and Josko Radic and Matko Saric",
booktitle = "2020 28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020",
address = "United States",
}