Cognitive UWB spectrum sharing and power allocation in a multipath fading channel
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[1] A. Molisch,et al. IEEE 802.15.4a channel model-final report , 2004 .
[2] Zoran Gajic,et al. A nash game algorithm for SIR-based power control in 3G wireless CDMA networks , 2005, IEEE/ACM Transactions on Networking.
[3] Zhu Han,et al. Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions , 2005, IEEE Transactions on Communications.
[4] Steve Kapp. 802.11a: More Bandwidth without the Wires , 2002, IEEE Internet Comput..
[5] Wei Yu,et al. Distributed multiuser power control for digital subscriber lines , 2002, IEEE J. Sel. Areas Commun..
[6] Jeffrey G. Andrews,et al. Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints , 2005, IEEE Transactions on Wireless Communications.
[7] Patrick Mitran,et al. Achievable rates in cognitive radio channels , 2006, IEEE Transactions on Information Theory.
[8] David Grace,et al. Cognitive Radio for UWB spectrum sharing and power allocation , 2010, 2010 7th International Symposium on Wireless Communication Systems.
[9] B. Sklar,et al. Rayleigh fading channels in mobile digital communication systems Part I: Characterization , 1997, IEEE Commun. Mag..
[10] Alister G. Burr,et al. Multi-beam assisted MIMO — A novel approach to fixed beamforming , 2011, 2011 Future Network & Mobile Summit.
[11] Allen B. MacKenzie,et al. Game Theory for Wireless Engineers , 2006, Game Theory for Wireless Engineers.
[12] H. Vincent Poor,et al. A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems , 2006, IEEE Journal on Selected Areas in Communications.
[13] Vivien Chu,et al. Ultra Wideband Signals and Systems in Communication Engineering , 2007 .
[14] Joel Watson,et al. Strategy : An Introduction to Game Theory , 2001 .