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As a profound and evident future trend in the field of mobile communication technologies development, heterogeneous networks became one of the crucial points of interests in wireless networks industry and academic research societies. Considering heterogeneous networks as an inseparable concept from LTE networks nowadays, which remain at position of advanced cellular system, the researchers aim to...
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...
Next generation wireless networks face the challenge of increasing energy consumption while satisfying the unprecedented increase in the data rate demand. To address this problem, we propose a utility-based energy-efficient resource allocation algorithm for the downlink transmissions in heterogeneous networks (HetNets). We consider the fractional frequency reuse (FFR) method in order to mitigate the...
Energy consumption in wireless communication systems is increasing tremendously, wherein most of the energy consumedis by the evolved NodeBs in LTE network. Nowadays the research trend is majorly focused on Green communication which aims at reducing the Energy consumed in a network. In this paper, a radio resource allocation algorithm that is meant to balance energy efficiency and throughput maximization...
Device-to-device (D2D) communications as an underlay of a LTE-A (4G) network can reduce the traffic load as well as power consumption in cellular networks by way of utilizing peer-to-peer links for users in proximity of each other. This would enable other cellular users to increment their traffic, and the aggregate traffic for all users can be significantly increased without requiring additional spectrum...
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