Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/34059
Title: Power consumption model using green policies in Heterogeneous Networks
Authors: Araniti, G
Cosmas, J
Iera, A
Loiacono, A
Molinaro, A
Orsino, A
Keywords: HetNet;4G mobile communication;green networks;scheduling algorithm;power control;networking and QoS;performance evaluation
Issue Date: 25-Jun-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Araniti, G. et al. (2014) 'Power consumption model using green policies in Heterogeneous Networks', 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Beijing, China, 25–27 June. pp. 1–5. doi: 10.1109/bmsb.2014.6873557.
Abstract: Although the LTE systems provides high data-rate, low latency and spectrum flexibility, the coverage holes due to the cell edge and high interference areas are still an open issue. The Heterogeneous Networks (HetNets) can be a possible solution to this problems. The HetNet paradigms overlaps low power base stations (BSs) with different transmitted powers within a macro cellular coverage. However, the dense deployment of BSs increases the power consumption of the network and, as a consequence, decreases the system performance due to the high inter-cell interference. In this paper, we propose a power control scheme based on green policies in order to enhance the power saving over Heterogeneous Networks (HetNets) in Long Term Evolution (LTE) systems. In particular, the aim of the proposed framework is to increase the energy efficiency of the system, without decreasing the network throughput. An extensive simulation campaign has been conducted through the usage of the Network Simulator 3 (NS-3). The obtained results show that the proposed green power control reduces the power consumption and enhances the energy efficiency of the system without decreases the throughput of both the BSs and users (UEs). © 2014 IEEE.
URI: https://bura.brunel.ac.uk/handle/2438/34059
DOI: https://doi.org/10.1109/bmsb.2014.6873557
ISBN: 9781479916542
ISSN: 2155-5044
Appears in Collections:Department of Electronic and Electrical Engineering Research Papers

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