NDLI: An intelligent method for resource management in wireless networks

Content Provider	IEEE Xplore Digital Library
Author	Hosseini, S.M. Mozayeni, N.
Copyright Year	2013
Description	Author affiliation: Dept. of Artifitial Intell., Islamic Azad Univ., Tehran, Iran (Hosseini, S.M.) \|\| Dept. of Artifitial Intell., Iran Univ. of Sci. & Technol., Tehran, Iran (Mozayeni, N.)
Abstract	In wireless cellular network, resource constraint has become a critical and important issue. Users always and everywhere expect telecommunication systems with the best quality. They also need visual and multimedia communication. So, an intelligent wireless network that has the ability to adapt to environment in different network traffics is needed. The intelligent network has the capability to decide and modify itself. One of these intelligent methods is the use of multi-agent system. The main criteria considered in resource management of cellular networks are rate of dropped calls and blocked calls. Blocked calls include new calls and dropped calls include calls which are made by transition a mobile from a cell to another cell. In this project, we take a look at former techniques and then we will propose solutions to reduce the two mentioned criteria based on intelligent agents. The main purposes of this article are: reducing dropped calls, reducing blocked calls and decreasing traffic load variance between several cells and balancing among them. The results show that implementing multi-agnet system concerning intelligence and using agnets in proposed method has noticeable improvement than other methods in decreasing blocked calls and dropped calls.
Starting Page	371
Ending Page	376
File Size	359608
Page Count	6
File Format	PDF
e-ISBN	9781467364904
DOI	10.1109/IKT.2013.6620095
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-28
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobility Management Cellular Wireless Network Multi-Agent System Computer architecture Bandwidth Telecommunication traffic Handover Call Allocation Resource management Load modeling
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
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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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