NDLI: Genetic algorithm based self-organized resource allocation in LTE-Advanced network

Content Provider	IEEE Xplore Digital Library
Author	Shahid, A. Aslam, S. Hyung Seok Kim Kyung-Geun Lee
Copyright Year	2014
Description	Author affiliation: Dept. of Inf. & Commun. Eng., Sejong Univ., Seoul, South Korea (Shahid, A.; Aslam, S.; Hyung Seok Kim; Kyung-Geun Lee)
Abstract	In order to have escalation in the throughput of LTE-Advanced network, carrier aggregation (CA) is employed for meeting the requirement set by International Telecommunication Union (ITU). Within the context of CA, component carrier (CC) selection and scheduling is the most critical task and has significant impact on the network performance. In this study, we propose a self-organized downlink resource allocation by exploiting a genetic algorithm, where the resource allocation task is considered as joint CC selection and scheduling. Primarily, each base station executes the proposed algorithm for carrying out the scheduling task. In addition, the proposed algorithm relies on the information acquired via users with the concern of minimizing the inter-cell interference. The simulation results are computed in terms of average user throughput and fairness. Furthermore, the proposed algorithm is compared with the random allocation. The results illustrates that significant performance is achieved by incorporating the proposed algorithm in terms of average throughput and fairness.
Starting Page	133
Ending Page	137
File Size	470554
Page Count	5
File Format	PDF
ISBN	9781479934942
DOI	10.1109/ICUFN.2014.6876766
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	genetic algorithm Interference Carrier aggregation Throughput Scheduling inter-cell interference Component Carrier selection and scheduling self-organize Resource management Joints Biological cells Genetic algorithms
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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