Full Publication List →

Nash equilibria

Refereed Book Chapters

  • G. Scutari, D. P. Palomar, F. Facchinei, and J.-S. Pang, “Monotone Games for Cognitive Radio Systems,” in Distributed Decision-Making and Control, Eds. Anders Rantzer and Rolf Johansson, Lecture Notes in Control and Information Sciences Series, Springer Verlag, 2011.
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “Competitive Optimization of Cognitive Radio MIMO Systems via Game Theory,” in Convex Optimization in Signal Processing and Communications, Eds. D. P. Palomar and Yonina C. Eldar, Cambridge University Press, 2009.

Magazine Papers

  • G. Scutari, F. Facchinei, D. P. Palomar, and J.-S. Pang, “Convex Optimization, Game Theory, and Variational Inequality Theory in Multiuser Communication Systems,” IEEE Signal Processing Magazine, vol. 27, no. 3, pp. 35–49, May 2010 [DOI].
    Top 100 downloaded articles in IEEE among 1.25 million articles available (April-July 2010).
    Top 10 downloaded articles in IEEE SP Magazine (April–August 2010).
  • G. Scutari, D. P. Palomar, J.-S. Pang, and F. Facchinei, “Flexible Design for Cognitive Wireless Systems: From Game Theory to Variational Inequality Theory,” IEEE Signal Processing Magazine, vol. 26, no. 5, pp. 107–123, Sept. 2009 [DOI].
    Top 100 downloaded articles in IEEE among 1.25 million articles available (Sept. 2009)
    Top 10 downloaded articles in IEEE SP Magazine (Oct. 2009).

Journal Papers

  • F. Facchinei, J.-S. Pang, and G. Scutari, “Non-Cooperative Games with Minmax Objectives,” Computational Optimization and Applications, vol. 59, no. 1, pp. 85–112, Oct. 2014 [DOI].
  • G. Scutari, F. Facchinei, J.-S. Pang, and D. P. Palomar, “Real and Complex Monotone Communication Games,” IEEE Trans. on Information Theory, vol. 60, no. 7, pp. 4197–4231, July 2014 [DOI].
  • I. Atzeni, L. G. Ordonez, G. Scutari, D. P. Palomar, and J. R. Fonollosa, “Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization with Real-Time Adjustments: A GNEP Approach,” IEEE Trans. on Signal Processing, vol. 62, no. 9, pp. 2397–2412, May 2014 [DOI].
  • Y. Yang, F. Rubio, G. Scutari, and D. P. Palomar, “Multi-Portfolio Optimization: A Potential Game Approach,” IEEE Trans. on Signal Processing, vol. 61, no. 22, pp. 5590–5602, Nov. 2013 [DOI].
    Top 10 downloaded articles in IEEE TSP (Oct. 2013).
  • G. Scutari and J.-S. Pang, “Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms,” IEEE Trans. on Information Theory, vol. 59, no. 7, pp. 4626–4661, July 2013 [DOI].
  • J.-S. Pang and G. Scutari, “Nonconvex Games with Side Constraints,” SIAM J. on Optimization, vol. 21, no. 4, pp. 1491–1522, Dec. 2011 [DOI].
  • J. Wang, G. Scutari, and D. P. Palomar, “Robust MIMO Cognitive Radio via Game Theory,” IEEE Transactions on Signal Processing, vol. 59, no. 3, pp. 1182–1201, March 2011 [DOI].
    Top 10 downloaded articles in IEEE TSP (March 2011).
  • J.-S. Pang, G. Scutari, D. P. Palomar, and F. Facchinei, “Design of Cognitive Radio Systems Under Temperature-Interference Constraints: A Variational Inequality Approach,” IEEE Trans. on Signal Processing, vol. 58, no. 6, pp. 3251–3271, June 2010 [DOI].
  • G. Scutari and D. P. Palomar, “MIMO Cognitive Radio: A Game-Theoretical Approach,” IEEE Trans. on Signal Processing, vol. 58, no. 2, pp. 761–780, Feb. 2010 [DOI].
    Top 10 downloaded articles in IEEE TSP (Jan.-March 2010).
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “The MIMO Iterative Waterfilling Algorithm,” IEEE Trans. on Signal Processing, vol. 57, no. 5, pp. 1917–1935, May 2009 [DOI].
    Top 10 downloaded articles in IEEE TSP (May – July 2009).
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View,” IEEE J. on Selected Areas in Communications: Special Issue on Game Theory, vol. 26, no. 7, pp. 1089–1103, Sept. 2008 [DOI].
  • J.-S. Pang, G. Scutari, F. Facchinei, and C. Wang, “Distributed Power Allocation with Rate Constraints in Gaussian Parallel Interference Channels,” IEEE Trans. on Information Theory, vol. 54, no. 8, pp. 3471–3489, Aug. 2008 [DOI].
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels,” IEEE Trans. on Information Theory, vol. 54, no. 7, pp. 2868–2878, July 2008 [DOI].

Refereed Conference Papers

  • J.-S. Pang and G. Scutari, “Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi Nash Equilibria,” IEEE Trans. on Signal Processing, vol. 61, no. 9, pp. 2366–2382, May 2013 [DOI].
  • G. Scutari, F. Facchinei, and J.-S. Pang, “Equilibrium Selection in MIMO Communication Games,” Proc. of the 13th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC12), pp. 80–84, June 17–20, 2012, Cesme, Turkey.
  • G. Scutari, F. Facchinei, J.-S. Pang, and L. Lampariello, “Equilibrium Selection in Power Control Games on the Interference Channel,” Proc. of the 2012 IEEE International Conference on Computer Communications, pp. 675–683, March 25–30, 2012, Orlando, Florida.
  • Y. Yang, F. Rubio, G. Scutari, and D. Palomar, “Multi-Portfolio Optimization: A Potential Game Approach,” Proc. of the 2nd International ICST Conference on Game Theory for Networks, pp. 1–5, April 16–18, 2011, Shanghai, China.
  • J. Wang, G. Scutari, and D. P. Palomar, “Robust MIMO Cognitive Radio via Game Theory,” Proc. of the 2010 IEEE International Symposium on Information Theory (ISIT10), pp. 2073–2077, June 13–18, 2010, Austin, Texas, USA.
  • J.-S. Pang, G. Scutari, D. P. Palomar, and F. Facchinei, “Design of Cognitive Radio Systems Under Temperature-Interference Constraints: A Variational Inequality Approach,” Proc. of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP10), pp. 2997–2998, March 14–19, 2010, Sheraton Dallas Hotel, Dallas, Texas, USA.
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “Competitive Optimization of Cognitive Radio MIMO Systems via Game Theory,” Proc. of the 1st International Conference on Game Theory for Networks (GameNets 2009), pp. 452–461, May 13–15, 2009, Boğaziçi University, Istanbul, Turkey.
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “MIMO Cognitive Radio: A Game-Theoretical Approach,” Proc. of the 9th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC08), pp. 426–430, July 7–9, 2008, Recife, Brazil.
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “Competitive Design of Multiuser MIMO Interference Systems Based on Game Theory: A Unified Framework,” Proc. of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP08), pp. 5376–5379, March 30–April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA.
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “Optimal Decentralized Linear Precoding for Wideband Non-Cooperative Interference Systems Based on Game Theory,” Proc. of the 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP07), pp. 85–88, Dec. 12–14, 2007, St. Thomas, Virgin Islands, USA.
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels: A Unified Framework,” Proc. of the 2007 Information Theory and Applications Workshop (ITA07), pp. 349–358, Jan. 29–Feb. 2, 2007, La Jolla, CA, USA.
  • G. Scutari, D. P. Palomar, and S. Barbarossa, “Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels,” Proc. of the 2006 IEEE International Symposium on Information Theory (ISIT06), pp. 600–604, July 9–14, 2006, Seattle, WA, USA.
  • G. Scutari, S. Barbarossa, and D. P. Palomar, “Potential Games: A Framework for Vector Power Control Problems with Coupled Constraints,” Proc. of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP06), vol. 4, pp. 241–244, May 14–19, 2006, Toulouse, France.
    Best Student Paper Award.
  • G. Scutari, S. Barbarossa, and D. Ludovici, “On the Maximum Achievable Rates in Wireless Meshed Networks: Centralized versus Decentralized Solutions,” Proc. of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP04), vol. 4, pp. 573–576, May 17–21, 2004, Montreal, Quebec, Canada.