Publications of Daniel P. Palomar

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Book Chapters

  1. •Gesualdo Scutari, Daniel P. Palomar, Francisco Facchinei, and Jong-Shi 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.

  2. •Jiaheng Wang and Daniel P. Palomar, “Majorization Theory with Applications in Signal Processing and Communication Systems,” in Mathematical Foundations for Signal Processing, Communications and Networking, Eds. Thomas Chen, Dinesh Rajan, and Erchin Serpedin, Cambridge University Press, 2011.

  3. •Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Competitive Optimization of Cognitive Radio MIMO Systems via Game Theory,” in Convex Optimization in Signal Processing and Communications, Cambridge Univ. Press, 2009. [draft]

  4. •Mung Chiang, Chee Wei Tan, Daniel P. Palomar, Daniel O’Neill, and David Julian, “Power Control by Geometric Programming,” in Resource Allocation in Next Generation Wireless Networks, vol. 5, Chapter 13, pp. 289-313, W. Li, Y. Pan, Editors, Nova Sciences Publishers, ISBN 1-59554-583-9, 2005. [draft]

  5. •Daniel P. Palomar, A. Pascual-Iserte, John M. Cioffi, and Miguel A. Lagunas, “Convex Optimization Theory Applied to Joint Transmitter-Receiver Design in MIMO Channels,” in Space-Time Processing for MIMO Communications, Chapter 8, pp. 269-318, A. B. Gershman and N. Sidiropoulos, Editors, John Wiley & Sons, ISBN 0-470-01002-9, April 2005. [draft]

  6. •Daniel P. Palomar, “Unified Design of Linear Transceivers for MIMO Channels,” in Smart Antennas – State-of-the-Art, vol. 3, Chapter 18, EURASIP Hindawi Book Series on SP&C, T. Kaiser, A. Bourdoux, H. Boche, J. R. Fonollosa, J. B. Andersen, and W. Utschick, Editors, ISBN 977-5945-09-7, 2005. [draft]

PhD Dissertation

  1. •Daniel P. Palomar, “A Unified Framework for Communications through MIMO Channels,” Ph.D. dissertation, Technical University of Catalonia (UPC), Barcelona, Spain, May 2003.

Journal Papers

  1. •Javier Vía, Daniel P. Palomar, Luis Vielva, and Ignacio Santamaría, “Quaternion ICA from Second-Order Statistics,” IEEE Trans. on Signal Processing, vol. 59, no. 4, pp. 1586-1600, April 2011.

  2. •Javier Vía, Daniel P. Palomar, and Luis Vielva, “Generalized Likelihood Ratios for Testing the Properness of Quaternion Gaussian Vectors,” IEEE Trans. on Signal Processing, vol. 59, no. 4, pp. 1356-1370, April 2011.

  3. •Jiaheng Wang, Gesualdo Scutari, and Daniel P. Palomar, “Robust MIMO Cognitive Radio via Game Theory,” IEEE Trans. on Signal Processing, vol. 59, no. 3, pp. 1183-1201, March 2011.

  4. •Antonio De Maio, Yongwei Huang, Daniel P. Palomar, Shuzhong Zhang, and Alfonso Farina, “Fractional QCQP with Applications in ML Steering Direction Estimation for Radar Detection,” IEEE Trans. on Signal Processing, vol. 59, no. 1, pp. 172-185, Jan. 2011.

  5. •Eduard Calvo, Daniel P. Palomar, Javier R. Fonollosa, and Josep Vidal, “On the Computation of the Capacity Region of the Discrete MAC,” IEEE Trans. on Communications, vol. 58, no. 12, pp. 3512-3525, Dec. 2010.

  6. •Jiaheng Wang and Daniel P. Palomar, “Robust MMSE Precoding in MIMO Channels with Pre-Fixed Receivers,” IEEE Trans. on Signal Processing, vol. 58, no. 11, pp. 5802-5818, Nov. 2010.

  7. •Yongwei Huang and Daniel P. Palomar, “A Dual Perspective on Separable Semidefinite Programming with Applications to Optimal Downlink Beamforming,” IEEE Trans. on Signal Processing, vol. 58, no. 8, pp. 4254-4271, Aug. 2010.

  8. •Jong-Shi Pang, Gesualdo Scutari, Daniel P. Palomar, and Francisco 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.

  9. •Gesualdo Scutari, Daniel P. Palomar, Francisco Facchinei, and Jong-Shi Pang, “Convex Optimization, Game Theory, and Variational Inequality Theory,” IEEE Signal Processing Magazine, vol. 27, no. 3, pp. 35-49, May 2010.

  10. •Gesualdo Scutari and Daniel P. Palomar, “MIMO Cognitive Radio: A Game Theoretical Approach,” IEEE Trans. on Signal Processing, vol. 58, no. 2, pp. 761-780, Feb. 2010.

  11. •Antonio De Maio, Silvio De Nicola, Yongwei Huang, Daniel P. Palomar, Shuzhong Zhang, and Alfonso Farina, “Code Design for Radar STAP via Optimization Theory,” IEEE Trans. on Signal Processing, vol. 58, no. 2, pp. 679-694, Feb. 2010.

  12. •Yongwei Huang and Daniel P. Palomar, “Rank-Constrained Separable Semidefinite Programming With Applications to Optimal Beamforming,” IEEE Trans. on Signal Processing, vol. 58, no. 2, pp. 664-678, Feb. 2010.

  13. •Svante Bergman, Daniel P. Palomar, and Björn Ottersten, “Joint Bit Allocation and Precoding for MIMO Systems with Decision Feedback Detection,” IEEE Trans. on Signal Processing, vol. 57, no. 11, pp. 4509-4521, Nov. 2009.

  14. •Gesualdo Scutari, Daniel P. Palomar, Jong-Shi Pang, and Francisco 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.

  15. •Jiaheng Wang and Daniel P. Palomar, “Worst-Case Robust MIMO Transmission with Imperfect Channel Knowledge,” IEEE Trans. on Signal Processing, vol. 57, no. 8, pp. 3086-3100, Aug. 2009.

  16. •Miquel Payaró and Daniel P. Palomar, “Hessian and Concavity of Mutual Information, Differential Entropy, and Entropy Power in Linear Vector Gaussian Channels,” IEEE Trans. on Information Theory, vol. 55, no. 8, pp. 3613-3628, Aug. 2009.

  17. •Chee Wei Tan, Daniel P. Palomar, and Mung Chiang, “Energy-Robustness Tradeoff in Cellular Network Power Control,” IEEE/ACM Trans. on Networking, vol. 17, no. 3, pp. 912-925, June 2009.

  18. •Luis G. Ordóñez, Daniel P. Palomar, Alba Pagès-Zamora, and Javier R. Fonollosa, “Minimum BER Linear MIMO Transceivers With Adaptive Number of Substreams,” IEEE Trans. on Signal Processing, vol. 57, no. 6, pp. 2336-2353, June 2009.

  19. •Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “The MIMO Iterative Waterfilling Algorithm,” IEEE Trans. on Signal Processing, vol. 57, no. 5, pp. 1917-1935, May 2009.

  20. •Luis G. Ordóñez, Daniel P. Palomar, and Javier R. Fonollosa, “Ordered Eigenvalues of a General Class of Hermitian Random Matrices With Application to the Performance Analysis of MIMO Systems,” IEEE Trans. on Signal Processing, vol. 57, no. 2, pp. 672-689, Feb. 2009.

  21. •Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Cognitive MIMO Radio: Competitive Optimality Design Based on Subspace Projections,” IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 46-59, Nov. 2008.

  22. •Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View,” IEEE Journal on Selected Areas in Communications: Special Issue on Game Theory, vol. 25, no. 7, pp. 1089-1103, Sept. 2008.

  23. •Xi Zhang, Daniel P. Palomar, and Björn Ottersten, “Statistically Robust Design of Linear MIMO Transceivers,” IEEE Trans. on Signal Processing, vol. 56, no. 8, pp. 3678-3689, Aug. 2008.

  24. •Gesualdo Scutari, Daniel P. Palomar, and Sergio 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.

  25. •Daniel P. Palomar and Sergio Verdú, “Lautum Information,” IEEE Trans. on Information Theory, vol. 54, no. 3, pp. 964-975, March 2008.

  26. •Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory – Part I: Nash Equilibria,” IEEE Trans. on Signal Processing, vol. 56, no. 3, pp. 1230-1249, March 2008.

  27. •Gesualdo Scutari, Daniel P. Palomar, and Sergio Barbarossa, “Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory – Part II: Algorithms,” IEEE Trans. on Signal Processing, vol. 56, no. 3, pp. 1250-1267, March 2008.

  28. •Daniel P. Palomar and Mung Chiang, “Alternative Distributed Algorithms for Network Utility Maximization: Framework and Applications,” IEEE Trans. on Automatic Control, vol. 52, no. 12, pp. 2254-2269, Dec. 2007.

  29. •Luis García-Ordoñez, Daniel P. Palomar, Alba Pagès-Zamora, and Javier R. Fonollosa, “High-SNR Analytical Performance of Spatial Multiplexing MIMO Systems with CSI,” IEEE Trans. on Signal Processing, vol. 55, no. 11, pp. 5447-5463, Nov. 2007.

  30. •Mung Chiang, Chee Wei Tan, Daniel P. Palomar, Daniel O’Neill, and David Julian, “Power Control by Geometric Programming,” IEEE Trans. on Wireless Communications, vol. 6, no. 7, pp. 2640-2651, July 2007.

  31. •Daniel P. Palomar and Sergio Verdú, “Representation of Mutual Information via Input Estimates,” IEEE Trans. on Information Theory, vol. 53, no. 2, pp. 453-470, Feb. 2007.

  32. •Daniel P. Palomar and Mung Chiang, “A Tutorial on Decomposition Methods for Network Utility Maximization,” IEEE Journal on Selected Areas in Communications: Special Issue on Nonlinear Optimization of Communication Systems, vol. 24, no. 8, pp. 1439-1451, Aug. 2006.

  33. •Daniel P. Palomar and Sergio Verdú, “Gradient of Mutual Information in Linear Vector Gaussian Channels,” IEEE Trans. on Information Theory, vol. 52, no. 1, pp. 141-154, Jan. 2006.

  34. •A. Pascual-Iserte, Daniel P. Palomar, Ana I. Pérez-Neira, and Miguel A. Lagunas, “A Robust Maximin Approach for MIMO Communications with Partial Channel State Information Based on Convex Optimization,” IEEE Trans. on Signal Processing, vol. 54, no. 1, pp. 346-360, Jan. 2006.

  35. •Daniel P. Palomar, “Convex Primal Decomposition for Multicarrier Linear MIMO Transceivers,” IEEE Trans. on Signal Processing, vol. 53, no. 12, pp. 4661-4674, Dec. 2005.

  36. •Daniel P. Palomar and Sergio Barbarossa, “Designing MIMO Communication Systems: Constellation Choice and Linear Transceiver Design,” IEEE Trans. on Signal Processing, vol. 53, no. 10, pp. 3804-3818, Oct. 2005.

  37. •Daniel P. Palomar, Mats Bengtsson, and Björn Ottersten, “Minimum BER Linear Transceivers for MIMO Channels via Primal Decomposition,” IEEE Trans. on Signal Processing, vol. 53, no. 8, pp. 2866-2882, Aug. 2005.

  38. •Daniel P. Palomar and Javier Rodriguez Fonollosa, “Practical Algorithms for a Family of Waterfilling Solutions,” IEEE Trans. on Signal Processing, vol. 53, no. 2, pp. 686-695, Feb. 2005.

  39. •Daniel P. Palomar, “Unified Framework for Linear MIMO Transceivers with Shaping Constraints,” IEEE Communications Letters, vol. 8, no. 12, pp. 697-699, Dec. 2004.

  40. •Daniel P. Palomar, Miguel Angel Lagunas, and John M. Cioffi, “Optimum Linear Joint Transmit-Receive Processing for MIMO Channels with QoS Constraints,” IEEE Trans. on Signal Processing, vol. 52, no. 5, pp. 1179-1197, May 2004.

  41. •Daniel P. Palomar, John M. Cioffi, and Miguel Angel Lagunas, “Joint Tx-Rx Beamforming Design for Multicarrier MIMO Channels: A Unified Framework for Convex Optimization,” IEEE Trans. on Signal Processing, vol. 51, no. 9, pp. 2381-2401, Sept. 2003.

  42. Made on a Mac
    2004 Young Author Best Paper Award by the IEEE Signal Processing Society

  43.      and

  44. Highly cited paper (ISI Web of Knowledge)

  45. •Daniel P. Palomar, John M. Cioffi, and Miguel Angel Lagunas, “Uniform Power Allocation in MIMO Channels: A Game-Theoretic Approach,” IEEE Trans. on Information Theory, vol. 49, no. 7, pp. 1707-1727, July 2003.

  46. •Daniel P. Palomar and Miguel Angel Lagunas, “Joint Transmit-Receive Space-Time Equalization in Spatially Correlated MIMO channels: A Beamforming Approach,” IEEE Journal on Selected Areas in Communications: Special Issue on MIMO Systems and Applications, vol. 21, no. 5, pp. 730-743, June 2003.

  47. •Daniel P. Palomar and Miguel Angel Lagunas, “Temporal diversity on DS-CDMA communication systems for blind array signal processing,” EURASIP Signal Processing, vol. 81, no. 8, pp. 1625-1640, Aug. 2001.

  48. •Daniel P. Palomar, Montse Nájar, and Miguel Angel Lagunas, “Self-reference Spatial Diversity Processing for Spread Spectrum Communications,” AEÜ International Journal of Electronics and Communications, vol. 54, no. 5, pp. 267-276, Nov. 2000.

  49. •Daniel P. Palomar, Marc Price, and Mark Sandler, “Re-optimization of LPC filters for multi-pulse coded excitation,” IEE Electronics Letters, vol. 35, N. 13, pp. 1058-1059, ISSN 0013-5194, June 1999.

 

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Books and Monographs


  2. •Daniel P. Palomar and Yonina C. Eldar, Eds., Convex Optimization in Signal Processing and Communications, Cambridge University Press, 2009.

 

  2. •Daniel P. Palomar and Yi Jiang, “MIMO Transceiver Design via Majorization Theory,” Foundations and Trends in Communications and Information Theory, Now Publishers, vol. 3, no. 4-5, pp. 331-551, 2006.  [book version] [journal version] [typos]