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In current LTE deployments, the unsupervised and unilateral installation of home or localized base stations, so called eNodeBs, may easily lead to excessive energy consumption and over-provisioning of network infrastructure. In this paper, we propose an energy efficient framework, which dynamically adjusts the power requirements of the system and performs Resource Block (RBs) allocation based on needs...
In this study, we aim to design a controller (XCon) which optimizes energy-efficiency in the over-provisioned indoor 4G cellular networks for under-utilized eNodeBs. In this manner, we propose a novel energy efficiency coefficient (EEC) which covers conventional bits=joule energy efficiency metric and additionally contains parameters such as channel utilization and SINR. Moreover, we define an optimization...
In today’s wireless Heterogeneous Networks (HetNets) deployments, the physical resources which are supposed to handle the huge mobile data requests, are clustered statically by the operators, leading an ineffective resource management. In this paper, we solve this ineffective static resource assignment, by proposing a novel queueing-theoretic Software Defined HetNet (SDHetN) model which orchestrates...
In Cognitive Radio (CR) networks, one of the well-known challenges is the opportunistic utilization of the available spectrum, which should be performed by avoiding the interference with the Primary Users (PUs). There exists several works to deal with this PU interference avoidance problem for single PU type. However, with the increased traffic heterogeneity of the wireless PU profiles, this challenge...
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