TY - GEN
T1 - A Lightweight Network Slicing Scheme for 5G Coexistence Network in Multitenant and Services
AU - Fang, Tianshun
AU - Xue, Hao
AU - Pan, Zhenni
AU - Shimamoto, Shigeru
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Resource allocation of 5G cellular network slicing has been gaining huge interest recently. However, it is not well-explored under the Multi-tenant and Multi-service Coexistence Network scenario. This paper proposes a dynamic network slicing scheme for the 5G Coexistence Network, which considers tenants, priority, baseband resources, slice granularity, service characteristics, quality of service (QoS), and fairness index. The framework of the network slicing scheme consists of a group-level, which performs clustering preprocessing, setting the priority of service, and filtering the desired characteristic service groups; and a slice-level, which performs radio resource allocation among services and follows the changes in the network environment closely. The simulation results show that the proposed scheme can achieve higher goal service group QoS, fairness, and overall QoS compared with three kinds of baseline schemes.
AB - Resource allocation of 5G cellular network slicing has been gaining huge interest recently. However, it is not well-explored under the Multi-tenant and Multi-service Coexistence Network scenario. This paper proposes a dynamic network slicing scheme for the 5G Coexistence Network, which considers tenants, priority, baseband resources, slice granularity, service characteristics, quality of service (QoS), and fairness index. The framework of the network slicing scheme consists of a group-level, which performs clustering preprocessing, setting the priority of service, and filtering the desired characteristic service groups; and a slice-level, which performs radio resource allocation among services and follows the changes in the network environment closely. The simulation results show that the proposed scheme can achieve higher goal service group QoS, fairness, and overall QoS compared with three kinds of baseline schemes.
KW - Clustering algorithm
KW - Fairness index
KW - Network slicing
KW - Resource allocation
KW - Slice granularity
UR - http://www.scopus.com/inward/record.url?scp=85137150184&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85137150184&partnerID=8YFLogxK
U2 - 10.1109/ISNCC55209.2022.9851815
DO - 10.1109/ISNCC55209.2022.9851815
M3 - Conference contribution
AN - SCOPUS:85137150184
T3 - 2022 International Symposium on Networks, Computers and Communications, ISNCC 2022
BT - 2022 International Symposium on Networks, Computers and Communications, ISNCC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Symposium on Networks, Computers and Communications, ISNCC 2022
Y2 - 19 July 2022 through 21 July 2022
ER -