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Using Massive MIMO and Small Cells to Deliver a Better Energy-Efficient Cognitive Radio Network

Efe Francis Orumwense(1*), Thomas J. Afullo(2), Viranjay M. Srivastava(3)

(1) Centre for Radio Access & Rural Technologies (CRART), School of Electrical, Electronic & Computer Engineering, University of KwaZulu-Natal, South Africa
(2) University of KwaZulu-Natal (UKZN), South Africa
(3) Department of Electronics Engineering, School of Engineering, Howard College, University of KwaZulu-Natal, South Africa
(*) Corresponding author


DOI: https://doi.org/10.15866/irecap.v6i5.9781

Abstract


Energy efficiency in cognitive radio networks is gradually receiving a lot of significant attention lately due to the gradual increase in the energy consumption of the network. In order to enable a more efficient energy network and to facilitate higher spectral utilization, adequate measures need to be employed to foster and improve energy efficiency. In this work, a massive multi-input and multi-output (MIMO) antenna base station co-existing with small cells base stations are introduced to efficiently optimize the energy in cognitive radio networks. An energy efficiency optimization problem was formulated and Dinkelbach method is used to solve the problem iteratively. Our simulation results show that the inclusion of more antennas in the macro base station can significantly reduce the total power consumed in the network and also that the energy efficiency of the network can be greatly improved when an optimal base station is selected for transmission.
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Keywords


Cognitive Radio Networks; Energy Efficiency; MIMO; Small Cells

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References


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