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Crystallized Rate Regions in MIMO Communications with the Presence of Femtocell Interferers

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Języki publikacji
EN
Abstrakty
EN
In this paper the application of the concept of crystallized rate regions to MIMO transmission with femtocell interference is investigated. Based on the referenced work a new game definition specifying the new cost function derived for MIMO transmission with femtocell interference is proposed. Furthermore, the idea of channel approximation for complexity reduction is described. Finally, the simulation results for different MIMO realizations are presented, which prove the correctness of application of the proposed regret-matching algorithm in the MIMO channel scenario with femtocell.
Rocznik
Strony
54--62
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
  • Chair of Wireless Communications, Poznan University of Technology, Poznan, Poland
autor
  • Chair of Wireless Communications, Poznan University of Technology, Poznan, Poland
autor
  • Alcatel-Lucent Chair on Flexible Radio, SUPELEC, France
Bibliografia
  • [1] I. E. Telatar, “Capacity of multi-antenna Gaussian channels”, European Transactions on Telecommunications, vol. 10, no. 6, pp. 585-595, November-December 1999
  • [2] R. S. Blum, “MIMO capacity with interference”, IEEE Journal on Selected Areas in Communications, vol. 25, issue 5, pp. 793- 801, June 2003
  • [3] A. Sezgin, S. A. Jafar, H. Jafarkhani, “Optimal Use of Antennas in Interference Networks: A Tradeoff between Rate, Diversity and Interference Alignment ”, accepted to IEEE GLOBECOM 2009
  • [4] S. Annapureddy, V. V. Veeravalli, “Sum capacity of the Gaussian interference channel in the low interference regime”, in Proc. ITA Workshop, San Diego, January-February 2008
  • [5] X. Shang, G. Kramer, B. Chen, “A new outer bound and noisyinterference sum-rate capacity for the symmetric Gaussian interference channels”, in Proc. 42nd Annual Conference on Information Sciences and Systems, CISS 2008, pp. 385-389, Princeton, 19-21 March 2008
  • [6] A. S. Motahari, A. K. Khandani “Capacity bounds for the Gaussian interference channel”, IEEE Transactions on Information Theory, vol. 55, issue 2, pp. 620-643, February 2009
  • [7] M. Charafeddine, A. Sezgin, and A. Paulraj, “Rates region frontiers for n-user interference channel with interference as noise ”, in Proc. Annual Allertone Conference on Communications, Control and Computing, Allerton, Il, September 2007
  • [8] M. Charafeddine, Z. Han, A. Paulraj, and J. Cioffi, “Crystallized Rate Regions of he Interference Channel via Correlated Equilibrium with Interference aas Noise ”in Proc. IEEE ICC 2009, Dresden, Germany, June 14-18, 2009
  • [9] R. Ahlswede, “The capacity region of a channel with two senders and two receivers” in Annals of Probability, vol. 2, pp. 805-814, October 1974
  • [10] T. Han, K. Kobayashi “A new achievable rates region for the interference channel” in IEEE Transactions on Information Theory, vol. 27, issue 1, pp. 49-60, January 1981
  • [11] G. Owen, Game Theory, 3rd ed., New York: Academic, 2001
  • [12] R. J. Aumann, “Subjectivity and correlation in randomized strategy”, Journal of Mathematical Economics, vol. 1, no. 1, pp. 67-96, 1974
  • [13] D. P. Bertsekas, A. Nedi´c, A. E. Ozdaglar “Convex Analysis and Optimization”, Belmont, MA: Athena Scientific, 2003
  • [14] S. Hart, A. Mas-Collel, “A simple adaptive procedure leading to correlated equilibrium”, Econometrica, vol. 68, no. 5, pp. 1127-1150, September 2000
  • [15] A. Kliks, P. Sroka, M. Debbah, “Crystallized Rate Regions for MIMO transmission ”,Eurasip Journal on Wireless Communications and Networking, vol. 2010, 2010
  • [16] A. Paulraj, R. Nabar, D. Gore, “Introduction to Space-Time Wireless Communications ”, Cambridge University Press, 2003
  • [17] G. Lebrun, J. Gao, M. Faulkner, “MIMO Transmission Over a Time-Varying Channel Using SVD ”, IEEE Transactions on Wireless Communications, vol. 4, no. 2, pp. 757-764, March 2005
  • [18] A. Goldsmith, S. A. Jafar, N. Jindal, S. Vishwanath, “Fundamental Capacity of MIMO Channels”, IEEE Journal on Selected Areas in Communications, Special Issue on MIMO systems, vol. 21, 2002
  • [19] H. Dai, A. Molisch, H.V.Poor, “Downlink Capacity of Interference-Limited MIMO Systems With Joint Detection ”, IEEE Transactions on Wireless Communications, vol. 3, no. 2, pp. 442-453, March 2004 ”, v. 8.4.0, September 2008
  • [20] E. G. Larsson, E. A. Jorswieck, J. Lindblom, R. Mochaourab, “Game theory and the flat-fading Gaussian interference channel”, IEEE Signal Processing Magazine, vol. 26, no. 5, pp. 18-27, September 2009
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b059c011-d1ec-4558-a6a8-fb95f3948473
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