OPTIMUM CELL PLANNING FOR CDMA SYSTEM BY USING GENETIC ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HASHEMI MAHDI; MOHAMMADI ELNAZ; AHADI AKHLAGHI IMAN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) Year:2017 | Volume:5 | Issue:4 Page(s): 44-53

Download Full-Text

Persian Verion

View:

1,514

Download:

Cites:

Information Journal Paper

Title

OPTIMUM CELL PLANNING FOR CDMA SYSTEM BY USING GENETIC ALGORITHM

Author(s)

HASHEMI MAHDI | MOHAMMADI ELNAZ | AHADI AKHLAGHI IMAN | Issue Writer Certificate

Keywords

WIRELESS COMMUNICATIONQ2

CELL PLANNINGQ2

BS.POSITIONINGQ2

GENETIC ALGORITHMQ2

MULTI-OBJECT OPTIMIZATIONQ2

USPSQ2

Abstract

Cell planning is a complex problem. In this project we take advantage of GENETIC ALGORITHMs to find the optimum location of a cellular network base station, and to optimally determine other parameters such as power, height and tilt of each base station antenna, as well.The main goal is to maximize the network coverage and simultaneously to minimize the downlink interference in the Azadshahr region of Mashhad. In order to study the performance of the proposed method in a realistic way, the Urban Signal Propagation Simulator computer software (USPS) is used. The results indicate that our method has a very good performance in real situations.

Cites

No record.

References

No record.

Cite

APA: Copy

HASHEMI, MAHDI, MOHAMMADI, ELNAZ, & AHADI AKHLAGHI, IMAN. (2017). OPTIMUM CELL PLANNING FOR CDMA SYSTEM BY USING GENETIC ALGORITHM. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 5(4 ), 44-53. SID. https://sid.ir/paper/245882/en

Vancouver: Copy

HASHEMI MAHDI, MOHAMMADI ELNAZ, AHADI AKHLAGHI IMAN. OPTIMUM CELL PLANNING FOR CDMA SYSTEM BY USING GENETIC ALGORITHM. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2017;5(4 ):44-53. Available from: https://sid.ir/paper/245882/en

IEEE: Copy

MAHDI HASHEMI, ELNAZ MOHAMMADI, and IMAN AHADI AKHLAGHI, “OPTIMUM CELL PLANNING FOR CDMA SYSTEM BY USING GENETIC ALGORITHM,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 5, no. 4 , pp. 44–53, 2017, [Online]. Available: https://sid.ir/paper/245882/en

Related Journal Papers