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A TLBO-Based Energy Efficient Base Station Switch off and User Subcarrier Allocation Algorithm for OFDMA Cellular Networks


Affiliations
1 Department of Electrical and Electronics Engineering, Shiraz University of Technology, Iran, Islamic Republic of
     

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Downlink of a cellular network with orthogonal frequency-division multiple access (OFDMA) is considered. Joint base station switch OFF and user subcarrier-allocation with guaranteed user quality of service, is shown to be a promising approach for reducing network’s total power consumption. However, solving the aforementioned mix-integer and nonlinear optimization problem requires robust and powerful optimization techniques. In this paper, teaching-learning based optimization algorithm has been adopted to lower cellular network’s total power consumption. The results show that the proposed technique is able to reduce network’s total power consumption by determining a near optimum set of base stations to be switched OFF and near optimum subcarrier-user assignments. It is shown that the proposed scheme is superior to existing base station switch OFF schemes. Robustness of the proposed TLBO-based technique is verified.

Keywords

Energy Efficiency, Green Cellular Network, Base Station Switching, Optimization, TLBO Algorithm.
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  • A TLBO-Based Energy Efficient Base Station Switch off and User Subcarrier Allocation Algorithm for OFDMA Cellular Networks

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Authors

Danial Davarpanah
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Iran, Islamic Republic of
Mohammad Reza Zamani
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Iran, Islamic Republic of
Mohsen Eslami
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Iran, Islamic Republic of
Taher Niknam
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Iran, Islamic Republic of

Abstract


Downlink of a cellular network with orthogonal frequency-division multiple access (OFDMA) is considered. Joint base station switch OFF and user subcarrier-allocation with guaranteed user quality of service, is shown to be a promising approach for reducing network’s total power consumption. However, solving the aforementioned mix-integer and nonlinear optimization problem requires robust and powerful optimization techniques. In this paper, teaching-learning based optimization algorithm has been adopted to lower cellular network’s total power consumption. The results show that the proposed technique is able to reduce network’s total power consumption by determining a near optimum set of base stations to be switched OFF and near optimum subcarrier-user assignments. It is shown that the proposed scheme is superior to existing base station switch OFF schemes. Robustness of the proposed TLBO-based technique is verified.

Keywords


Energy Efficiency, Green Cellular Network, Base Station Switching, Optimization, TLBO Algorithm.

References