Using Modified Partitioning Around Medoids Clustering Technique in Mobile Network Planning
Optimization mobile radio network planning is a very complex task, as many aspects must be taken into account. Deciding upon the optimum placement for the base stations (BSs) to achieve best services while reducing the cost is a complex task requiring vast computational resource. This paper introduces the spatial clustering to solve the Mobile Networking Planning problem. It addresses antenna placement problem or the cell planning problem, involves locating and configuring infrastructure for mobile networks by modified the original Partitioning Around Medoids PAM algorithm. M-PAM (Modified Partitioning Around Medoids) has been proposed to satisfy the requirements and constraints. Implementation of this algorithm to a real case study is presented. Experimental results and analysis indicate that the M-PAM algorithm is effective in case of heavy load distribution, and leads to minimum number of base stations, which directly affected onto the cost of planning the network.
Keywords: clustering techniques, network planning, cell planning, mobile network
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ABOUT THE AUTHORS
Lamiaa Fattouh Ibrahim
is a Faculty Member in College of Computing and Information Technology-King AbdulAziz University in Jeddah, Faculty Member in Institute of Statistical Studies and Research - Cairo University. She holds a Doctor of Philosophy P.h.D. from Cairo University, Faculty of Engineering, 1999, Master from Ain Shams University, Faculty of Engineering, Computer & Systems Engineering Department 1993, Master from Ecole National Superieur de Telecommunication, ENST Paris 1987 and B.S.c from Ain Shams University, Faculty of Engineering, Computer & Automatic control Department 1984. Over 26 years of experience in the fields of network engineering and artificial Intelligent, with focus on applying knowledge base and data mining techniques in wire and wireless network planning. She has published many papers in many journals and international conferences on areas network, data mining, wire and Mobile network planning. She is a member of the editorial board of the International Journal on Advances in Telecommunications, IARIA, and Journal of Computer Science, Science Publications. She is reviewer in Journal of Network and Computer Applications, Elsevier.
Manal Hamed Al Harbi
Lecture College of Education, UMM AL-QURA University, Macca, Saudi Arabia.
Lamiaa Fattouh Ibrahim
is a Faculty Member in College of Computing and Information Technology-King AbdulAziz University in Jeddah, Faculty Member in Institute of Statistical Studies and Research - Cairo University. She holds a Doctor of Philosophy P.h.D. from Cairo University, Faculty of Engineering, 1999, Master from Ain Shams University, Faculty of Engineering, Computer & Systems Engineering Department 1993, Master from Ecole National Superieur de Telecommunication, ENST Paris 1987 and B.S.c from Ain Shams University, Faculty of Engineering, Computer & Automatic control Department 1984. Over 26 years of experience in the fields of network engineering and artificial Intelligent, with focus on applying knowledge base and data mining techniques in wire and wireless network planning. She has published many papers in many journals and international conferences on areas network, data mining, wire and Mobile network planning. She is a member of the editorial board of the International Journal on Advances in Telecommunications, IARIA, and Journal of Computer Science, Science Publications. She is reviewer in Journal of Network and Computer Applications, Elsevier.
Manal Hamed Al Harbi
Lecture College of Education, UMM AL-QURA University, Macca, Saudi Arabia.
