Resource Virtualization for Customized Delay-Bounded QoS Provisioning in Uplink VMIMO-SC-FDMA Systems
Resource Virtualization for Customized Delay-Bounded QoS Provisioning in Uplink VMIMO-SC-FDMA Systems
复制标题
上行链路 VMIMO-SC-FDMA 系统中定制的延迟限制 QoS 供应的资源虚拟化
DOI：
10.1109/tcomm.2018.2886337
复制
发表时间：
2019-04-01
影响因子：
8.3
通讯作者：
Zhang, Hailin
中科院分区：
文献类型：
--
作者：
Lu, Xiaofeng;Ni, Qiang;Zhang, Hailin
无线网络虚拟化将物理供应流程和服务供应流程分离，可以抽象、隔离和共享物理基础设施网络设备。研究了虚拟多输入多输出单载波频分多址上行链路系统中的资源虚拟化问题，利用统计方法对资源进行抽象以隐藏衰落信道的复杂细节，并对链路速率进行虚拟化。此外，虚拟链路速率被调度并实例化到具有定制的延迟受限的服务质量(QoS)供应的不同切片。在该方案中，物理移动网络运营商(PMNO)负责物理层的网络资源，虚拟移动网络运营商(VMNO)负责MAC层的业务接纳和分片管理。此外，我们将资源虚拟化问题建立为跨层Stackelberg博弈，该博弈具有基于服务质量指数的交互双重过程：MAC层领导者自上而下的子博弈和物理层追随者的自下而上的子博弈。利用新设计的PMNO和VMNOS函数，我们提出了一种迭代对偶更新的有效动态算法，以满足PMNO和VMNOS的优化目标。仿真结果验证了本文提出的时延受限服务质量保证无线资源虚拟化算法在收敛、接入速率、时延中断概率等方面的优越性和稳定性。
Wireless network virtualization, 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 single-carrier frequency-division-multiple-access 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, a 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 an 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.