A virtualized resource management scheme for heterogeneous cellular networks. Issue 17 (26th October 2016)

• Record Type: Journal Article
• Authors: Zhang, Yaoyuan; Zhao, Liqiang; Li, Nan; Zhang, Guopeng; Chen, Hsiao Hwa
• Is Part Of: Wireless communications and mobile computing. Volume 16:Issue 17(2016)
• Page Start: 3163
• Page End: 3174
• Publication Date: 2016-10-26
• Subjects: heterogeneous cellular network -- resource virtualization -- virtual resource management; Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1002/wcm.2748
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract: Because of random deployment patterns of femtocells, interference scenarios in a heterogeneous cellular network can be very complicated because of its changing network topology. Especially when each eNodeB occupies a fixed bandwidth, interference management becomes much more difficult. The benefit of dynamic management for local resource optimation is limited. Recently, resource virtualization has been proposed as a dynamic resource management scheme to optimize network performance. In fact, resource virtualization is viewed as a more flexible model, in which mobile network service providers can control physical resources in a global scope. This paper presents a joint resource virtualization and allocation scheme for its applications in heterogeneous macro‐femto‐cellular networks. The proposed scheme involves two major processes. First, it virtualizes physical resources as logical resources. Second, it carries out logical resource allocation optimization globally and aggregates logical and physical resources for resource allocation. The proposed scheme takes into account spectrum reuse and frequency domain interference jointly in order to achieve a high spectral efficiency and provide rate‐on‐demand services to all users. Simulation results demonstrate the effectiveness of the proposed scheme. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : A resource mapping method based on the principle of "pay as a user requires" is presented. In the proposed method, radio resources can be mapped into a visual resource matrix. A dynamic virtualized resource management algorithm is proposed to achieve a global optimization.