Green deployment strategy of different generation mobile networks based on spectrum analysis

Mobile devices have become an essential part of our daily life. Different types of cellular networks exist for providing service to the mobile users. GSM is the first mobile communication system which raises the popularity of mobile services. After GSM, other kinds of wireless communication systems come into the scenario such as WCDMA, LTE etc. Each of these systems has their own pros and cons. In this paper we have performed a comparative signal analysis between these popular networks considering noise effect, bandwidth, and power using vector signal generator to draw a conclusion on their effective deployment in different scenarios. The power transmission by the base stations in an area covered by GSM, WCDMA and LTE network based on user density is determined and compared with the same using only GSM network. Simulation results present that using proposed deployment scenario 10.22-17.5% reduction in power transmission is achieved and hence it is referred as a green network.

[1]  Debashis De,et al.  A novel cost-effective and high-speed location tracking scheme for overlay macrocell-femtocell network , 2014, 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS).

[2]  Debashis De,et al.  Femtocell based green power consumption methods for mobile network , 2013, Comput. Networks.

[3]  Debashis De,et al.  Femto-cloud based secure and economic distributed diagnosis and home health care system , 2015 .

[4]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[5]  Erik Dahlman,et al.  WCDMA-the radio interface for future mobile multimedia communications , 1998 .

[6]  Debashis De,et al.  Mobile cloud computing based energy efficient offloading strategies for femtocell network , 2014, 2014 Applications and Innovations in Mobile Computing (AIMoC).

[7]  Rahim Tafazolli,et al.  On the relaying capability of next-generation GSM cellular networks , 2001, IEEE Wirel. Commun..

[8]  Debashis De,et al.  Femtocell based economic health monitoring scheme using mobile cloud computing , 2014, 2014 IEEE International Advance Computing Conference (IACC).

[9]  Lan truyền,et al.  Wireless Communications Principles and Practice , 2015 .

[10]  Debashis De,et al.  DAS: An Intelligent Three Dimensional Cost Effective Movement Prediction of Active Users in Heterogeneous Mobile Network , 2012 .

[11]  Debashis De,et al.  Congestion Detection, Prevention and Avoidance Strategies for an Intelligent, Energy and Spectrum Efficient Green Mobile Network , 2013 .

[12]  Debashis De,et al.  Methods to sustain cellular channel availability in high traffic location , 2011, 2011 XXXth URSI General Assembly and Scientific Symposium.