NDLI: Automated W-CDMA microcellular deployment and coverage reconfiguration based on situation awareness

Content Provider	IEEE Xplore Digital Library
Author	Sharma, S. Tameh, E. Molina, A. Nix, A.R.
Copyright Year	2002
Description	Author affiliation: Centre for Commun. Res., Bristol Univ., UK (Sharma, S.; Tameh, E.; Molina, A.; Nix, A.R.)
Abstract	This paper examines the implementation of an automated W-CDMA microcellular deployment and coverage reconfiguration algorithm based on the concepts of situation awareness (SA). A deterministic microcellular propagation model (Citrus) is used to provide the detailed site-specific propagation data. An initial network deployment is performed over one square kilometre of central Bristol using the combination algorithm for total optimisation (CAT). Buildings are then added or removed from the microcell to represent realistic time variations in the geographic environment. A new situation awareness (SA) algorithm is developed and applied to the modified W-CDMA microcell to automatically reconfigure the network's coverage and capacity based on the new propagation environment. Optimisation of coverage and capacity is achieved through the use of a genetic algorithm (GA). This paper presents the details of the underlying SA algorithm and the results obtained for the above scenario. These new algorithms are shown to automatically sustain a high grade of service as the microcellular environment evolves over time. Gains of up 203% in spectral efficiency were observed for the 144 kbps service.
Starting Page	1170
Ending Page	1174
File Size	466833
Page Count	5
File Format	PDF
ISBN	0780374843
DOI	10.1109/VTC.2002.1002798
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiaccess communication Quality of service Microcell networks Cellular networks Telecommunication traffic Buildings Costs Adaptive algorithm Macrocell networks 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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