Implementation of Cell Zooming Technique to Optimize the Base Station Power

This paper investigate the problem regarding the minimization of the power of the base station by using the cell zooming technique. In this paper, we mainly focused on reducing the power consumed at the base station end, whereas most of the power minimization related work in the literature today is focused on the mobile end only. Cell zooming is a technology that promises to minimize the resource utilization. This technique is designed to save the energy consumed by the base station by maintaining the quality of services. To understand the working of the cell zooming techniques centralized algorithm is a very basic way. Our simulations shows that the proposed technique can achieve upto 25% reduction in the power consumption over the base station.

[1]  Christopher Paolini,et al.  Cell Zooming for Power Efficient Base Station Operation , 2013, 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC).

[2]  S. Poornima,et al.  Base Station Switching Based on Traffic Load Analysis , 2014 .

[3]  Fadel F. Digham,et al.  Optimizing power efficiency of OFDM using quantized channel state information , 2006, IEEE Journal on Selected Areas in Communications.

[4]  Dov Wulich,et al.  Minimum BER power loading for OFDM in fading channel , 2002, IEEE Trans. Commun..

[5]  Santosh Nagaraj.  Adaptive Modulation for Limited Diversity Fading Channels , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[6]  Zhisheng Niu,et al.  Cell zooming for cost-efficient green cellular networks , 2010, IEEE Communications Magazine.

[7]  Giuseppe Caire,et al.  Bit-Interleaved Coded Modulation , 2008, Found. Trends Commun. Inf. Theory.

[8]  Santosh Nagaraj,et al.  A novel power allocation technique for 4G cellular networks , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).

[9]  S. S. Dorle,et al.  Improvement of QoS in VANET with different mobility patterns , 2012, 2012 International Conference on Radar, Communication and Computing (ICRCC).

[10]  John M. Cioffi,et al.  Adaptive modulation and coding (AMC) for bit-interleaved coded OFDM (BIC-OFDM) , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).