e-journal

An Efficient Multi-carrier Resource Allocation with User Discrimination Framework for 5G Wireless Systems

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In this paper, we present an efficient resource allocation with user discrimination framework for 5G Wireless Systems to allocate multiple carriers resources among users with elastic and inelastic traffic. Each application running on the user equipment (UE) is assigned an application utility function. In the proposed model, different classes of user groups are considered and users are partitioned into different groups based on the carriers coverage area. Each user has a minimum required application rate based on its class and the type of its application. Our objective is to allocate multiple carriers resources optimally among users, that belong to different classes, located within the carriers’ coverage area. We use a utility
proportional fairness approach in the utility percentage of the application running on the UE. Each user is guaranteed a minimum quality of service with a priority criterion that is based on user’s class and the type of application running on the UE. In addition, we prove the existence of optimal solutions for the proposed resource allocation optimization problem and present a multi-carrier resource allocation with user discrimination algorithm. Finally, we present
simulation results for the performance of the proposed algorithm.

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Informasi Detail

Judul Seri

Wireless Inf Networks

No. Panggil

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Penerbit

New York : Springer Science., 2015

Deskripsi Fisik

Int J Wireless Inf Networks (2015) 22:345–356

Bahasa

English

ISBN/ISSN

DOI 10.1007/s10776-0

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

-

Edisi

(2015) 22

Subjek

JARINGAN INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

deliza

Versi lain/terkait

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