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Báo cáo hóa học: " Research Article The Displacement of Base Station in Mobile Communication with Genetic Approach"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article The Displacement of Base Station in Mobile Communication with Genetic Approach | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2008 Article ID 580761 10 pages doi 10.1155 2008 580761 Research Article The Displacement of Base Station in Mobile Communication with Genetic Approach Yong SeoukChoi 1 Kyung Soo Kim 1 and Nam Kim2 1 Wireless system research group Electronics and Telecommunications Research Institute ETRI 161 Gajeong-Dong Yuseong-Gu Daejeon 305-700 South Korea 2 The school of Electrical and Computer Engineering Chungbuk National University 12 Gaeshin-Dong Heungduk-Gu ChungJu 361-763 South Korea Correspondence should be addressed to Nam Kim cys@empal.com Received 5 July 2007 Revised 18 January 2008 Accepted 2 March 2008 Recommended by Vincent Lau This paper addresses the displacement of a base station with optimization approach. A genetic algorithm is used as optimization approach. A new representation that describes base station placement transmitted power with real numbers and new genetic operators is proposed and introduced. In addition this new representation can describe the number of base stations. For the positioning of the base station both coverage and economy efficiency factors were considered. Using the weighted objective function it is possible to specify the location of the base station the cell coverage and its economy efficiency. The economy efficiency indicates a reduction in the number of base stations for cost effectiveness. To test the proposed algorithm the proposed algorithm was applied to homogeneous traffic environment. Following this the proposed algorithm was applied to an inhomogeneous traffic density environment in order to test it in actual conditions. The simulation results show that the algorithm enables the finding of a near optimal solution of base station placement and it determines the efficient number of base stations. Moreover it can offer a proper solution by adjusting the weighted objective function. Copyright 2008 Yong Seouk Choi et al. This is an .