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QoS-aware Joint Power and Subchannel Allocation Algorithms for Wireless Network Virtualization

Wei, Junyi (2017) QoS-aware Joint Power and Subchannel Allocation Algorithms for Wireless Network Virtualization. PhD thesis, University of Essex.

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Abstract

Wireless network virtualization (WNV) is a promising technology which aims to overcome the network redundancy problems of the current Internet. WNV involves abstraction and sharing of resources among different parties. It has been considered as a long term solution for the future Internet due to its flexibility and feasibility. WNV separates the traditional Internet service provider’s role into the infrastructure provider (InP) and service provider (SP). The InP owns all physical resources while SPs borrow such resources to create their own virtual networks in order to provide services to end users. Because the radio resources is finite, it is sensible to introduce WNV to improve resources efficiency. This thesis proposes three resource allocation algorithms on an orthogonal frequency division multiple access (OFDMA)-based WNV transmission system aiming to improve resources utility. The subject of the first algorithm is to maximize the InP and virtual network operators’ (VNOs’) total throughput by means of subchannel allocation. The second one is a power allocation algorithm which aims to improve VNO’s energy efficiency. In addition, this algorithm also balances the competition across VNOs. Finally, a joint power and subchannel allocation algorithm is proposed. This algorithm tries to find out the overall transmission rate. Moreover, all the above alogorithms consider the InP’s quality of service (QoS) requirement in terms of data rate. The evaluation results indicates that the joint resource allocation algorithm has a better performance than others. Furthermore, the results also can be a guideline for WNV performance guarantees.

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Junyi Wei
Date Deposited: 02 Aug 2017 08:36
Last Modified: 02 Aug 2017 08:36
URI: http://repository.essex.ac.uk/id/eprint/20142

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