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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Resource Virtualization for Customized Delay-Bounded QoS Provisioning in Uplink VMIMO-SC-FDMA Systems
AU - Lu, X.
AU - Ni, Q.
AU - Zhao, D.
AU - Cheng, W.
AU - Zhang, H.
N1 - ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Wireless Network Virtualization (WNV), which decouples the physical supply process and the service provisioning process, can abstract, isolate and share the physical infrastructure network equipment. This paper studies the resource virtualization in virtual multiple-input multiple-output singlecarrier frequency-division-multiple-access (VMIMO-SC-FDMA) uplink systems, where resources are abstracted to hide the complex details of the fading channel and the link rates are virtualized using the statistical method. Furthermore, the virtual link rates are scheduled and instantiated to different slices with customized delay-bounded quality of service (QoS) provisioning. In this scheme, physical mobile network operator (PMNO) is in charge of the network resource at the physical layer while virtual mobile network operators (VMNOs) are responsible for the traffic admission and the slice management at the MAC layer. Furthermore, we build up the resource virtualization problem as a cross-layer Stackelberg game, which has the interactive dual processes based on the QoS exponent: top-to-down sub-game of leaders at the MAC layer and down-to-top sub-game of follower at the physical layer. Using the newly designed functions for PMNO and VMNOs, we develop an effective dynamic algorithm with iterative dual update to meet the optimization targets of PMNO and VMNOs. Simulation results verify the superiority and stability of delay-bounded QoS guaranteed wireless resource virtualization algorithm developed in this paper in terms of convergence, access rate, and delay-outage probability.
AB - Wireless Network Virtualization (WNV), which decouples the physical supply process and the service provisioning process, can abstract, isolate and share the physical infrastructure network equipment. This paper studies the resource virtualization in virtual multiple-input multiple-output singlecarrier frequency-division-multiple-access (VMIMO-SC-FDMA) uplink systems, where resources are abstracted to hide the complex details of the fading channel and the link rates are virtualized using the statistical method. Furthermore, the virtual link rates are scheduled and instantiated to different slices with customized delay-bounded quality of service (QoS) provisioning. In this scheme, physical mobile network operator (PMNO) is in charge of the network resource at the physical layer while virtual mobile network operators (VMNOs) are responsible for the traffic admission and the slice management at the MAC layer. Furthermore, we build up the resource virtualization problem as a cross-layer Stackelberg game, which has the interactive dual processes based on the QoS exponent: top-to-down sub-game of leaders at the MAC layer and down-to-top sub-game of follower at the physical layer. Using the newly designed functions for PMNO and VMNOs, we develop an effective dynamic algorithm with iterative dual update to meet the optimization targets of PMNO and VMNOs. Simulation results verify the superiority and stability of delay-bounded QoS guaranteed wireless resource virtualization algorithm developed in this paper in terms of convergence, access rate, and delay-outage probability.
KW - Quality of service
KW - Virtualization
KW - Wireless communication
KW - Resource virtualization
KW - Games
KW - Uplink
KW - Wireless resource virtualization
KW - Stackelberg game
KW - effective bandwidth
KW - effective capacity
KW - resource allocation
KW - admission control
U2 - 10.1109/TCOMM.2018.2886337
DO - 10.1109/TCOMM.2018.2886337
M3 - Journal article
VL - 67
SP - 2951
EP - 2967
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 0090-6778
IS - 4
ER -