Theory of Algorithm Suitability
A Contribution to Radio Resources Management in Next Generation Mobile Networks
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Beyond 2020, wireless networking model will be radically changed and oriented to business-driven concept as foreseen by the next generation mobile network (NGMN) alliance. As the available spectrum granted to a given operator is physically limited, new radio resource management techniques are required to ensure massive connectivity for wireless devices. Given this situation, in this book we investigate how the key network functionalities as SON and RRM must be thought to meet NGMN requirements. We propose therefore, algorithm suitability theory (AST) combined with the notion of network operato...
Beyond 2020, wireless networking model will be radically changed and oriented to business-driven concept as foreseen by the next generation mobile network (NGMN) alliance. As the available spectrum granted to a given operator is physically limited, new radio resource management techniques are required to ensure massive connectivity for wireless devices. Given this situation, in this book we investigate how the key network functionalities as SON and RRM must be thought to meet NGMN requirements. We propose therefore, algorithm suitability theory (AST) combined with the notion of network operator infrastructure convergence. The approach is based on software-defined networking (SDN) principle that allows an adaptability of the RRM and the load balance algorithms to the dynamic network status. Besides, we use the concept of network function virtualization (NFV) that alleviates the constraint of confining the wireless devices to their home network operator only. Relying on these two technologies, we build AST through a lexicographic optimality criterion based on SPC (Status, Performance, and Complexity) order.
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