The Application Of A Self Organizing Network ( Son )

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Abstract A Self-Organizing Network (SON) is a compilation of functions (or actions) for the automatic design of communication nodes for optimized performance. Moreover, Self-Organizing Networks are computerized and optimized versions of cellular networks. Capital expenditure, also called CAPEX, is the cost of doing business to create a future advantage. Operational expenditure (OPEX) is the money that a business spends to transform stock into throughput. The self - organization is considered to be a chief necessity in mobile operations and networks essentially due to potential savings made in CAPEX and OPEX. Game Theory (GT) is a technique of studying tactical decision-making. Technically, it is the study of arithmetical models of conflicts and collaboration between intelligent rational decision makers. (Thomas & Maurice, 2011). Therefore, the application of GT to wireless systems, the self-organizing problems of networks can be solved efficiently. Specifically, those problems that are more complicated and for which one cannot establish a systematic boundary by logic can be solved using SON. Most applications of Game Theory have been engaged in the fields of business, microeconomics management, decision-making and economics and finance in its early days (Aumann & Hart, 1992). Consequently, the concept of applying GT to WSN has grown in popularity among members of the academic world. Since the initial applications of Game Theory to Wireless Networks, it has become a critical
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