Mobile terminals clustering for green radio applications

Improving the energy efficiency is a major challenge of the next-generation wireless networks. In this regard, several network level green applications have been proposed during the last few years. In this paper, we review some of these applications, and describe how the awareness about the presence of clusters of nearby communicating nodes can enhance them. The considered applications fall into the categories of cell shaping, heterogeneous networks, beamforming and relaying. We exploit the received signal strength (RSS) measurements for finding the clusters of nodes, and study the clustering performance via simulations for local indoor and cellular network scenarios.

[1]  Andreas F. Molisch,et al.  Energy-Efficient Cooperative Relaying over Fading Channels with Simple Relay Selection , 2008, IEEE Transactions on Wireless Communications.

[2]  A. Cuevas,et al.  Estimating the number of clusters , 2000 .

[3]  Leandros Tassiulas,et al.  Energy-efficient planning and management of cellular networks , 2012, 2012 9th Annual Conference on Wireless On-Demand Network Systems and Services (WONS).

[4]  Bhaskar Krishnamachari,et al.  Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[5]  H. Vincent Poor,et al.  Base Station Location Optimization for Minimal Energy Consumption in Wireless Networks , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[6]  Luís M. Correia,et al.  Energy efficiency using beamforming at the base station in UMTS and LTE , 2012, SoftCOM 2012, 20th International Conference on Software, Telecommunications and Computer Networks.

[7]  Albrecht J. Fehske,et al.  Energy Efficiency Improvements through Micro Sites in Cellular Mobile Radio Networks , 2009, 2009 IEEE Globecom Workshops.

[8]  Miguel Á. Carreira-Perpiñán,et al.  Mode-Finding for Mixtures of Gaussian Distributions , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Ainslie,et al.  CORRELATION MODEL FOR SHADOW FADING IN MOBILE RADIO SYSTEMS , 2004 .

[10]  Zhifeng Zhao,et al.  Energy savings scheme in radio access networks via compressive sensing‐based traffic load prediction , 2014, Trans. Emerg. Telecommun. Technol..

[11]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

[12]  Geoffrey Ye Li,et al.  A survey of energy-efficient wireless communications , 2013, IEEE Communications Surveys & Tutorials.

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

[14]  Leonard J. Cimini,et al.  Energy-efficient cooperative beamforming in clustered wireless networks , 2013, IEEE Transactions on Wireless Communications.

[15]  Gang Shen,et al.  Energy Efficiency of Heterogeneous Cellular Network , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[16]  Loutfi Nuaymi,et al.  An overview and classification of research approaches in green wireless networks , 2012, EURASIP J. Wirel. Commun. Netw..

[17]  Hadi Noureddine,et al.  RSS-based clustering of mobile terminals for localization in wireless networks , 2014, 2014 11th International Symposium on Wireless Communications Systems (ISWCS).