A Cost- and Energy-Efficient Way of Meeting the Future Traffic Demands

[1]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[2]  J. Najim,et al.  Outage performance of cooperative small-cell systems under Rician fading channels , 2011, 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications.

[3]  Wieslawa Wajda,et al.  Energy savings in mobile networks based on adaptation to traffic statistics , 2010 .

[4]  Anant Sahai,et al.  What is a Spectrum Hole and What Does it Take to Recognize One? , 2009, Proceedings of the IEEE.

[5]  Mérouane Debbah,et al.  Optimal Channel Training in Uplink Network MIMO Systems , 2011, IEEE Transactions on Signal Processing.

[6]  Wei Yu,et al.  Multi-Cell MIMO Cooperative Networks: A New Look at Interference , 2010, IEEE Journal on Selected Areas in Communications.

[7]  William Webb.  Wireless Communications: The Future , 2007 .

[8]  R. Couillet,et al.  Fluctuations of the mutual information in large distributed antenna systems with colored noise , 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[9]  Patrick Charriere,et al.  Optimum channel selection strategies for mobility management in high traffic TDMA-based networks with distributed coverage , 1997, 1997 IEEE International Conference on Personal Wireless Communications (Cat. No.97TH8338).

[10]  J. G. Andrews,et al.  Interference cancellation for cellular systems: a contemporary overview , 2005, IEEE Wireless Communications.