Abstract
Wireless resource virtualization scheme has been proposed to satisfy the quality of service (QoS) requirement of multi-service traffic flows on multi-dimensional resources. However, it is a challenge to design an appropriate virtual resource allocation strategy for multi-dimensional resource to meet the delay demand of multi-service. In this paper, we study the virtual resource allocation method in TDD-F-OFDM system with MU-MIMO and formulate the multi-service virtual resource optimization problem as a cross-layer problem. Then, we develop an effective dynamic algorithm with an iterative dual update to meet the optimization targets of the Media Access Control (MAC) layer and physical layer. Finally, the simulation results show that our proposed virtual resource allocation algorithm not only achieves better spectral efficiency and flow access ratio, but also guarantees the delay requirements of multi-service flows.
Highlights
The rapid growth of traffic demand and application proliferation from multi-service creates irresistible challenges for wireless networks to ensure the quality of service (QoS) and quality of experience of subscribers [1]
In this paper, we study the TDD-filtered-orthogonal frequency division multiplexing (F-OFDM) systems with MU-MIMO and present a resource abstraction scheme for hiding the complex details of fading channels
We propose a framework for multi-dimensional resource virtualization and allocation, taking into account the QoS requirements of virtual slices, which can be extended to other possible resource forms
Summary
The rapid growth of traffic demand and application proliferation from multi-service creates irresistible challenges for wireless networks to ensure the quality of service (QoS) and quality of experience of subscribers [1]. Due to the inherent broadcast nature of wireless communications and stochastic fluctuation of wireless channel quality, radio resource abstraction and isolation is not straightforward Another significant challenge of wireless network virtualization is resource allocation, which decides how to embed a virtual wireless network on physical networks. Effective ways to solve the above problems are network slicing and wireless resource virtualization, whereby each service is mapped to a virtual sub-network providing dedicated on-demand support to network users. Many technologies based on multi-dimensional resources are designed to support the diverse service requirements in the wireless communication network, such as filtered-orthogonal frequency division multiplexing (F-OFDM) in frequency domain [2] and multi-user multiple input multiple output(MUMIMO) in spatial domain [3,4]. To propose a mechanism of multi-dimensional resources virtualization and allocation for required delay bounded QoS provisioning. Throughout this paper, all matrices and sets are denoted by capital letters in boldface, and vectors are denoted by lowercase letters in boldface
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