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129440

QOS - BASED RESOURCE ALLOCATION ALGORITHM FOR LONG TERM EVOLUTION (LTE) SYSTEM

Article

Last updated: 26 Dec 2024

Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

Long Term Evolution (LTE) has emerged as a comprehensive evolution of
the Universal Mobile Telecommunications System (UMTS). In this paper, a
Quality of Service (QoS)-guaranteed cross-layer resource allocation
algorithm for multiclass services in LTE system is proposed. Numerical
results demonstrate that the proposed algorithm can provide better
behavior for QoS-based services than other previous resource allocation
algorithms.

DOI

10.21608/jesaun.2011.129440

Keywords

LTE, QOS, OFDM, Cross-Layer scheduling algorithms, GBR, Non-GBR

Authors

First Name

Mohsen M.

Last Name

Tantawy

MiddleName

-

Affiliation

Network planning Dept., National Telecommunication Institute, Cairo, Egypt

Email

mohsen@nti.sci.eg

City

-

Orcid

-

First Name

Adly S.

Last Name

Tag ELdien

MiddleName

-

Affiliation

Elec. Eng. Dept. faculty of engineering, Benha university, Shoubra, Cairo, Egypt

Email

adlymerg@yahoo.com

City

-

Orcid

-

First Name

Rokaia

Last Name

Zaki

MiddleName

Mounir

Affiliation

Elec. Eng. Dept. faculty of engineering, Benha university, Shoubra, Cairo, Egypt

Email

rukaia.emam@feng.bu.edu.eg

City

-

Orcid

-

Volume

39

Article Issue

No 6

Related Issue

16875

Issue Date

2011-11-01

Receive Date

2011-08-03

Publish Date

2011-11-01

Page Start

1,449

Page End

1,461

Print ISSN

1687-0530

Online ISSN

2356-8550

Link

https://jesaun.journals.ekb.eg/article_129440.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=129440

Order

14

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

QOS - BASED RESOURCE ALLOCATION ALGORITHM FOR LONG TERM EVOLUTION (LTE) SYSTEM

Details

Type

Article

Created At

23 Jan 2023