Very Large MIMO Systems

Multiple-antenna (MIMO) technology for wireless communications is becoming mature, and incorporated into emerging wireless broadband standards like LTE. Basically, the more antennas the transmitter/receiver is equipped with, the more the possible signal paths, the better the performance in terms of data rate and link reliability. The price to pay is increased complexity of the hardware (number of RF amplifier frontends) and the complexity and energy consumption of the signal processing at both ends.

Very large MIMO systems, also known as massive MIMO, or large-scale antennas systems is a new research field both in antenna systems, electronics, communication theory and embedded software. The ultimate vision is that the array would consist of small active antennas, plugged into an (optical) fieldbus. Each antenna uses extremely low power (in the order of mW). This facilitates inexpensive fabrication of the antennas. More importantly, the design is extremely robust in that the failure of one or a few of the antennas would not appreciably affect the system. Malfunctioning individual antennas may be hotswapped. Careful array design will further ensure that the array is well matched to the physical propagation channel. The gain over classical array designs, which use few antennas fed via coaxial cables from a high-power amplifier, is thus significant. Large arrays may also be used for improved positioning and location-based services both indoors and outdoors.

On this page we list provide a list of papers in the emerging area of very large MIMO systems. The intention is to list some key papers in the area and serve as an accessible entry-point for those who want to study this field.

This page is maintained by Hien Ngo and Erik G. Larsson from the Communication Systems Division of the EE department at Linkoping University, Sweden. If you want your paper to be listed here, please write to Hien Ngo.

Overview papers and tutorials

  1. E. G. Larsson, F. Tufvesson, O. Edfors, and T. L. Marzetta, Massive MIMO for Next Generation Wireless Systems.
  2. F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson, Scaling up MIMO: Opportunities and Challenges with Very Large Arrays, IEEE Signal Proces. Mag., vol. 30, no. 1, pp. 40-46, Jan. 2013.
  3. ICASSP 2012 tutorial on very large MIMO by Erik G. Larsson and Fredrik Tufvesson, part I and part II.

Capacity and fundamental aspects of large-scale MIMO systems

  1. T. L. Marzetta, Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas, IEEE Trans. Wireless Communications, vol. 9, no. 11, pp. 3590-3600, Nov. 2010.
  2. H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems, IEEE Trans. Commun., 2012, accepted.
  3. H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, The multicell multiuser MIMO uplink with very large antenna arrays and a finite-dimensional channel, IEEE Trans. Commun., 2013, accepted.
  4. A. Pitarokoilis, S. K. Mohammed, and E. G. Larsson, On the Optimality of Single-Carrier Transmission in Large-Scale Antenna Systems, IEEE Wireless Commun. Lett., vol. 1, no. 4, pp. 276-279, Aug. 2012.
  5. A. Pitarokoilis, S. K. Mohammed, and E. G. Larsson, Effect of Oscillator Phase Noise on Uplink Performance of Large MU-MIMO Systems, in Proc. of the 50th Annual Allerton Conference on Communication, Control, and Computing, 2012.
  6. J. Hoydis, S. ten Brink, and M. Debbah, Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 160-171, Feb. 2013.
  7. H. Huh, G. Caire, H. C. Papadopoulos, and S. A. Ramprashad, Achieving "Massive MIMO" Spectral Efficiency with a Not-so-Large Number of Antennas. IEEE Trans. Wireless Communications, vol. 11, no. 9, pp. 3226-3239, Sept. 2012.
  8. B. Gopalakrishnan and N. Jindal, An Analysis of Pilot Contamination on Multi-User MIMO Cellular Systems with Many Antennas. in Proc. Signal Processing Advances in Wireless Communications (SPAWC), San Francisco, CA, June 2011.
  9. H. Q. Ngo, M. Matthaiou, T. Q. Duong, and E. G. Larsson, Uplink Performance Analysis of Multiuser MU-MIMO Systems with ZF receivers, IEEE Trans. Veh. Technol., submitted.
  10. P. S. Taluja and B. L. Hughes, Diversity Limits of Compact Broadband Multi-Antenna Systems, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 326-337, Feb. 2013.
  11. H. Yang and T. L. Marzetta, Performance of Conjugate and Zero-Forcing Beamforming in Large-Scale Antenna Systems, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 172-179, Feb. 2013.
  12. F. Fernandes, A. Ashikhmin, and T. L. Marzetta, Inter-Cell Interference in Noncooperative TDD Large Scale Antenna Systems, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 192-201, Feb. 2013.
  13. A. Ozgur, O. Leveque, and D. Tse, Spatial Degrees of Freedom of Large Distributed MIMO Systems and Wireless Ad Hoc Networks, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 202-214, Feb. 2013.
  14. R. Aggarwal, C. E. Koksal, and P. Schniter, On the Design of Large Scale Wireless Systems, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 215-225, Feb. 2013.
  15. N. Krishnan, R. D. Yates, and N. B. Mandayam, Cellular Systems with Many Antennas: Large System Analysis under Pilot Contamination
  16. X. Artiga, B. Devillers, and J. Perruisseau-Carrier, Mutual coupling effects in multi-user massive MIMO base stations, in Proc. IEEE Antennas and Propagation Society International Symposium (APSURSI), July 2012
  17. H. A. Suraweera, H. Q. Ngo, T. Q. Duong, C. Yuen, and E. G. Larsson, Multi-Pair Amplify-and-Forward Relaying with Very Large Antenna Arrays, in Proc. IEEE International Conference on Communicatons (ICC), Budapest, Hungary, June 2013.
  18. H. Suzuki, I. B. Collings, D. Hayman, J. Pathikulangara, Z. Chen, and R. Kendall, Large-scale multiple antenna fixed wireless systems for rural areas, in Proc. IEEE PIMRC, September 2012.

Receiver signal processing and detection algorithms

  1. H. Q. Ngo and E. G. Larsson, EVD-Based Channel Estimations for Multicell Multiuser MIMO with Very Large Antenna Arrays, IEEE Int'l Conf. on Acoustics, Speed and Signal Processing (ICASSP), Kyoto, Japan, Mar. 2012.
  2. K. V. Vardhan, S. K. Mohammed, A. Chockalingam, and B. S. Rajan, A Low-Complexity Detector for Large MIMO Systems and Multicarrier CDMA Systems, IEEE J. Sel. Areas Commun., vol. 26, no. 3, pp. 473-485, Apr. 2008.
  3. J. Hoydis, R. Couillet, and M. Debbah, Iterative Deterministic Equivalents for the Capacity Analysis of Communication Systems, IEEE Trans. Inform. Theory, submitted, 2011.
  4. Tanumay Datta, N. Ashok Kumar, A. Chockalingam, and B. Sundar Rajan, A Novel MCMC Based Receiver for Large-Scale Uplink Multiuser MIMO Systems.
  5. P. Li and R. D. Murch, Multiple Output Selection-LAS Algorithm in Large MIMO Systems, IEEE Commun. Lett., vol. 14, no. 5, pp. 399-401, May 2010.
  6. N. Srinidhi, T. Datta, A. Chockalingam, and B. S. Rajan, Layered Tabu Search Algorithm for Large-MIMO Detection and a Lower Bound on ML Performance, IEEE Trans. Commun., vol. 59, no. 11, pp. 2955-2963, Nov. 2011.
  7. T. Datta, N. Srinidhi, A. Chockalingam, and B. S. Rajan, Random-Restart Reactive Tabu Search Algorithm for Detection in Large-MIMO Systems, IEEE Commun. Letters, vol. 14, no.12, pp. 1107-1109, Dec. 2010.
  8. C. Knievel, M. Noemm, and P. A. Hoeher, Low Complexity Receiver for Large-MIMO Space Time Coded Systems, in Proc. IEEE VTC-Fall'2011, Sept. 2011.
  9. A. Kumar, S. Chandrasekaran, A. Chockalingam, and B. S. Rajan, Near-Optimal Large-MIMO Detection Using Randomized MCMC and Randomized Search Algorithms, in Proc. IEEE International Conference on Communications (ICC), Kyoto, Japan, Jun. 2011.
  10. T. Datta, N. Srinidhi, A. Chockalingam, and B. Sundar Rajan, A Hybrid RTS-BP Algorithm for Improved Detection of Large-MIMO M-QAM Signals.
  11. A. Chockalingam, Low-Complexity Algorithms for Large-MIMO Detection, in Proc. Communications, Control and Signal Processing (ISCCSP), 2010.
  12. Y.-C. Liang, S. Sun and C. Ho, Block-iterative Generalized Decision Feedback Equalizers (BI-GDFE) for Large MIMO Systems: Algorithm Design and Asymptotic Performance Analysis, IEEE Trans. Signal Processing, vol.54, No.6, pp.2035-2048, June 2006.
  13. Y.-C. Liang, E.Y. Cheu, L. Bai and G. Pan, On the Relationship Between MMSE-SIC and BI-GDFE Receivers for Large Multiple-Input Multiple-Output Channels, IEEE Trans. Signal Processing, vol.56, No.8, pp.3627-3637, Aug. 2008.
  14. P. Suthisopapan, K. Kasai, A. Meesomboon, and V. Imtawil, Near Capacity Approaching for Large MIMO Systems by Non-Binary LDPC Codes with MMSE Detection.
  15. Ping-Heng Kuo, H. T. Kung, and Pang-An Ting, Compressive Sensing Based Channel Feedback Protocols for Spatially-Correlated Massive Antenna Arrays, in Proc. IEEE Wireless Communications and Networking Conference (WCNC 2012), Apr. 2012.
  16. M. Cirkic and E. G. Larsson, SUMIS: A Near-Optimal Soft-Ouput MIMO Detector at Low and Fixed Complexity, IEEE Trans. Signal Processing, submitted, 2012.
  17. C. Knievel and P. A. Hoeher, On Particle Swarm Optimization for MIMO Channel Estimation, Journal of Electrical and Computer Engineering, vol. 2012, Article ID 614384, 10 pages, 2012.
  18. H. Yin, D. Gesbert, M. Filippou, and Y. Liu, A Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems, IEEE J. Sel. Areas Commun. on "Large-Scale Multiple Antenna Wireless Systems", 2012, accepted.
  19. L. Dai, Z. Wang, and Z. Yang, Spectrally Efficient Time-Frequency Training OFDM for Mobile Large-Scale MIMO Systems, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 251-263, Feb. 2013.
  20. M. Matthaiou, C. Zhong, M. R. McKay, and T. Ratnarajah, Sum Rate Analysis of ZF Receivers in Distributed MIMO Systems, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 180-191, Feb. 2013.
  21. Q. Zhou and X. Ma, Element-Based Lattice Reduction Algorithms for Large MIMO Detection, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 274-286, Feb. 2013.
  22. Y. Huang, C. W. Tan and B. D. Rao, Efficient SINR Fairness Algorithm for Large Distributed Multiple-Antenna Networks, in Proc. IEEE Int'l Conf. on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May 2013.

Downlink precoding algorithms

  1. S. K. Mohammed and E. G. Larsson, Per-antenna Constant Envelope Precoding for Large Multi-User MIMO Systems, IEEE Trans. Commun., accepted.
  2. S. K. Mohammed and E. G. Larsson, Single-User Beamforming in Large-Scale MISO Systems with Per-Antenna Constant-Envelope Constraints: The Doughnut Channel, IEEE Trans. Wireless Commun., accepted.
  3. S. K. Mohammed and E. G. Larsson, Constant-Envelope Multi-User Precoding for Frequency-Selective Massive MIMO Systems.
  4. C. Studer and E. G. Larsson, PAR-Aware Large-Scale Multi-User MIMO-OFDM Downlink, IEEE J. Sel. Areas Commun. on "Large-Scale Multiple Antenna Wireless Systems", submitted.
  5. A. Ashikhmin and T. L. Marzetta, Pilot Contamination Precoding in Multi-Cell Large Scale Antenna Systems, in Proc. ISIT'12, July 2012.
  6. F. Fernandes, A. Ashikhmin, and T. L. Marzetta, Interference Reduction on Cellular Networks with Large Antenna Arrays, in Proc. IEEE International Conference on Communications (ICC), Ottawa, Canada, Jun. 2012.
  7. O. N. Alrabadi, E. Tsakalaki, H. Huang, and G. F. Pedersen, Beamforming via Large and Dense Antenna Arrays above a Clutter, IEEE J. Sel. Areas Commun. on "Large-Scale Multiple Antenna Wireless Systems", 2012, accepted.
  8. H. Huh, S.-H. Moon, Y.-T. Kim, I. Lee, and G. Caire, Multi-cell MIMO Downlink with Cell Cooperation and Fair Scheduling: A Large-System Limit Analysis, IEEE Trans. Inform. Theory, vol. 57, no. 12, pp. 7771-7786, Dec. 2011.
  9. H. C. Papadopoulos, G. Caire, and S. A. Ramprashad, Achieving Large Spectral Efficiencies from MU-MIMO with Tens of Antennas: Location-Adaptive TDD MU-MIMO Design and User Scheduling, in Proc. IEEE Asilomar Conf. on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, Nov. 2010.
  10. V. K. Nguyen and J. S. Evans, Multiuser Transmit Beamforming via Regularized Channel Inversion: A Large System Analysis, in Proc. IEEE Global Communications Conference, New Orleans, LO, US, Dec. 2008, pp. 1-4.
  11. S. Wagner, R. Couillet, M. Debbah, and D. T. M. Slock, Large System Analysis of Linear Precoding in MISO Broadcast Channels with Limited Feedback, IEEE Trans. Inform. Theory, vol. 58, no. 7, pp. 4509-4537, July 2012.
  12. R. Muharar and J. Evans, Downlink Beamforming with Transmit-Side Channel Correlation: A Large System Analysis, in Proc. IEEE International Conference on Communications (ICC), Kyoto, Japan, Jun. 2011.
  13. G. Guthy, W. Utschick, and M.L. Honig, Large System Analysis of the Successive Encoding Successive Allocation Method for the MIMO BC, in Proc. of the International ITG Workshop on Smart Antennas, Bremen, Germany, Feb. 2010.
  14. R. Zakhour and S. Hanly, Min-Max Fair Coordinated Beamforming via Large Systems Analysis, in Proc. of the IEEE International Symposium on Information Theory, St. Petersburg, July 2011.
  15. J. Dumont, W. Hachem, S. Lasaulce, P. Loubaton, J. Najim, On the Capacity Achieving Transmit Covariance Matrices for MIMO Rician Channels: An Asymptotic Approach, IEEE Trans. Inform. Theory, vol. 56, no. 3, pp. 1048-1069, Mar. 2010.
  16. C. Artigue, P. Loubaton, On the Precoder Design of Flat Fading MIMO Systems Equipped with MMSE Receivers: A Large System Approach, IEEE Trans. Inform. Theory, vol. 57, no. 7, pp. 4138-4155, July 2011.
  17. F. Dupuy, P. Loubaton, On the Capacity Achieving Covariance Matrix for Frequency Selective MIMO Channels Using the Asymptotic Approach, IEEE Trans. Inform. Theory, vol. 57, no. 9, pp. 5737-5753, Sept. 2011.
  18. J. Jose, A. Ashikhmin, T. L. Marzetta, and S. Vishwanath, Pilot Contamination and Precoding in Multi-cell TDD Systems, IEEE Trans. Wireless Commun., vol. 10, no.8, pp. 2640-2651, Aug. 2011.
  19. D. W. K. Ng, E. S. Lo, and R. Schober, Energy-Efficient Resource Allocation in OFDMA Systems with Large Numbers of Base Station Antennas, IEEE Trans. Wireless Commun., accepted.
  20. B. Zaidel, R. Muller, A. Moustakas, and R. de Miguel, Vector Precoding for Gaussian MIMO Broadcast Channels: Impact of Replica Symmetry Breaking, IEEE Trans. Inform. Theory, vol. 58, no. 3, pp. 1413-1440, Mar. 2012.
  21. R. Muller, D. Guo, and A. Moustakas, Vector Precoding for Wireless MIMO Systems and Its Replica Analysis, IEEE J. Sel. Areas Commun., vol. 26, no. 3, pp. 530-540, Apr. 2008.
  22. S. K. Mohammed, A. Chockalingam, and B. Sundar Rajan, A Low-Complexity Precoder for Large Multiuser MISO Systems, Proc. IEEE Vehicular Technology Conference (VTC' 2008), Singapore, May 2008.
  23. C. Lee, C-B. Chae, T. Kim, S. Choi, and J. Leez, Network Massive MIMO for Cell-Boundary Users: From a Precoding Normalization Perspective.
  24. A. Adhikary, J. Nam, J-Y. Ahn, G. Caire, Joint Spatial Division and Multiplexing.
  25. M. Hong, R-Y. Sun, H. Baligh, Z-Q. Luo, Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks, IEEE J. Sel. Areas Commun. on "Large-Scale Multiple Antenna Wireless Systems", 2012, accepted.
  26. J. Zhang, X. Yuan, and L. Ping, Hermitian Precoding for Distributed MIMO Systems with Individual Channel State Information, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 241-251, Feb. 2013.
  27. R. Zakhour and S. V. Hanly, Min-Max Power Allocation in Cellular Networks With Coordinated Beamforming, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 287-302, Feb. 2013.
    28. A. L. Anderson and M. A. Jensen, Beamforming in large-scale MIMO multiuser links under a per-node power constraint, in Proc. International Symposium on Wireless Communication Systems (ISWCS), Paris, France, Aug. 2012.
  28. E. P. Tsakalaki, O. N. Alrabadi, E. de Carvalho, and G. F. Pedersen, On the beamforming performance of large-scale antenna arrays, in Proc. Loughborough Antennas and Propagation Conference (LAPC), Nov. 2012
  29. Y. Huang, C. W. Tan, and B. D. Rao, Joint Beamforming and Power Control in Coordinated Multicell: Max-Min Duality, Effective Network and Large System Transition, IEEE Trans. Wireless Commun., 2013, accepted.
  30. Y. Huang, C. W. Tan and B. D. Rao, Large System Analysis of Power Minimization in Multiuser MISO Downlink with Transmit-side Channel Correlation, in Proc. International Symposium on Information Theory and its Applications (ISITA), Honolulu, HI, Oct. 2012.
  31. Y. Huang, C. W. Tan and B. D. Rao, Asymptotic Analysis of Max-Min Weighted SINR in Multiuser Downlink, in Proc. Conference on Information Sciences and Systems (CISS), Princeton, NJ, Mar. 2012.

Channel measurements and modeling

  1. X. Gao, O. Edfors, F. Rusek, and F. Tufvesson, Linear Pre-Coding Performance in Measured Very-Large MIMO Channels, in Proc. IEEE Vehicular Technology Conf. (VTC), San Francisco, CA, US, Sept. 2011, pp. 1-5.
  2. J. Hoydis, C. Hoek, T. Wild, and S. ten Brink, Channel Measurements for Large Antenna Arrays, in Proc. IEEE International Symposium on Wireless Communication Systems (ISWCS), Paris, France, Aug. 2012.
  3. S. Payami and F. Tufvesson, Channel Measurements and Analysis for Very Large Array Systems At 2.6 GHz, in Proc. 6th European Conference on Antennas and Propagation, EuCAP 2012, Prague, Czech Republic, 2012-03-26.

Implementation and demos

  1. C. Shepard, H. Yu, N. Anand, L. E. Li, T. L. Marzetta, R. Yang, and L. Zhong, Argos: Practical Many-Antenna Base Stations, in Proc. ACM Int. Conf. Mobile Computing and Networking (MobiCom), Aug. 2012
  2. B. Cerato and E. Viterbo, Hardware implementation of low-complexity detector for large MIMO, in Proc. IEEE ISCAS'2009, pp. 593-596, Taipei, May 2009.
  3. GreenTouch Shows Low Power Wireless.
  4. H. Suzuki, R. Kendall, K. Anderson, A. Grancea, D. Humphrey, J. Pathikulangara, K. Bengston, J. Matthews, and C. Russell, Highly Spectrally Efficient Ngara Rural Wireless Broadband Access Demonstrator, in Proc. IEEE International Symposium on Communications and Information Technologies (ISCIT), October 2012.

Applications of random matrix theory to MIMO

  1. C. Guthy, W. Utschick, and M. L. Honig, Large System Analysis of Sum Capacity in the Gaussian MIMO Broadcast Channel, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 149-159, Feb. 2013.
  2. H. Huh, A. M. Tulino, and G. Caire, Network MIMO with Linear Zero-Forcing Beamforming: Large System Analysis, Impact of Channel Estimation and Reduced-Complexity Scheduling, IEEE Trans. Inform. Theory, vol. 58, no. 5, pp. 2911-2934, May. 2012.
  3. K. R. Kumar, G. Caire, and A. Moustakas, Asymptotic performance of linear receivers in MIMO fading channels, IEEE Trans. Inform. Theory, vol. 55, no. 10, pp. 4398-4418, Oct. 2009.
  4. W. Yang, G. Durisi, and E. Riegler, On the Capacity of Large-MIMO Block-Fading Channel, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 117-132, Feb. 2013.
  5. R. Couillet, M. Debbah, and J. W. Silverstein, A Deterministic Equivalent for the Capacity Analysis of Correlated Multi-user MIMO Channels, IEEE Trans. Inform. Theory, submitted.
  6. C. Guthy, W. Utschick, and M.L. Honig, Large System Analysis of Projection Based Algorithms for the MIMO Broadcast Channel, in Proc. of the IEEE Int'l Symp. Inform. Theory, Austin, U.S.A., June 2010.
  7. R. Couillet, M. Debbah, and J. W. Silverstein, A Deterministic Equivalent for the Analysis of Correlated MIMO Multiple Access Channels, IEEE Trans. Inform. Theory, vol. 57, no. 6, pp. 3493-3514, June 2011.
  8. C.-N. Chuah, D. N. C. Tse, J. M. Kahn, and R. A. Valenzuela, Capacity Scaling in MIMO Wireless Systems under Correlated Fading, IEEE Trans. Inform. Theory, vol. 48, no. 2, pp. 637-650, Feb. 2002.
  9. A. Moustakas, S. Simon, and A. Sengupta, MIMO Capacity Through Correlated Channels in the Presence of Correlated Interferers and Noise: A (Not so) Large N Analysis, IEEE Trans. Inform. Theory, vol. 49, no. 10, pp. 2545-2561, Oct. 2003.
  10. D. Aktas, M. N. Bacha, J. S. Evans, and S. V. Hanly, Scaling Rresults on the Sum Capacity of Cellular Networks with MIMO Links, IEEE Trans. Inform. Theory, vol. 52, pp. 3264-3274, July 2006.
  11. B. Hochwald, T. Marzetta, and V. Tarokh, Multi-Antenna Channel Hardening and its Implications for Rate Feedback and Scheduling, IEEE Trans. Inform. Theory, vol. 50, no. 9, pp. 1893-1909, Sept. 2004.
  12. P. Rapajic and D. Popescu, Information Capacity of Random Signature Multiple-Input Multiple Output Channel, IEEE Trans. Commun., vol. 48, no. 8, pp. 1245-1248, Aug. 2000.
  13. W. Hachem, O. Khorunzhiy, P. Loubaton, J. Najim, L. Pastur, A New Approach for Mutual Information Analysis of Large Dimensional Multi-Antenna Channels, IEEE Trans. Inform. Theory, vol. 54, no. 9, pp. 3987-4004, Sept. 2008.
  14. Y.-C. Liang, G. M. Pan and Z. D. Bai, Asymptotic Performance of MMSE Receivers for Large Systems Using Random Matrix Theory, IEEE Trans. Inform. Theory, vol.53, No.11, pp.4173-4190, Nov. 2007.
  15. G. Taricco, Asymptotic Mutual Information Statistics of Separately-Correlated Rician Fading MIMO Channels, IEEE Trans. Inform. Theory, vol. 54, no. 8, pp. 3490-3504, Aug. 2008.
  16. E. Riegler and G. Taricco, Asymptotic Statistics of the Mutual Information for Spatially Correlated Rician Fading MIMO Channels with Interference, IEEE Trans. Inform. Theory, vol. 56, no. 4, pp. 1542-1559, Apr. 2010.
  17. C. K. Wen, K. K. Wong, and J. C. Chen, Asymptotic Mutual Information for Rician MIMO-MA Channels with Arbitrary Inputs: A Replica Analysis, IEEE Trans. Commun., Vol. 58, No. 10, pp. 2782-2788, Oct. 2010.
  18. C. K. Wen, S. Jin, and K. K. Wong, On the Sum-Rate of Multiuser MIMO Uplink Channels with Jointly-Correlated Rician fading, IEEE Trans. Commun., Vol. 59, No. 10, pp. 2883-2895, Oct. 2011.
  19. K. Takeuchi, R. Muller, M. Vehkapera, and T. Tanaka, On an Achievable Rate of Large Rayleigh Block-Fading MIMO Channels with No CSI, IEEE Trans. Inform. Theory, 2011, submitted.
  20. M. Debbah and R. Muller, MIMO Channel Modelling and the Principle of Maximum Entropy, IEEE Trans. Inform. Theory, vol. 51, no. 5, pp. 1667-1690, May 2005.
  21. J. Zhang, C-K. Wen, S. Jin, X. Gao, and K-K. Wong, On Capacity of Large-Scale MIMO Multiple Access Channels with Distributed Sets of Correlated Antennas, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 133-148, Feb. 2013.

Other applications of random matrix theory

  1. P. Vallet, P. Loubaton, X. Mestre, Improved Subspace Estimation for Multivariate Observations of High Dimension: The Deterministic Signals Case, IEEE Trans. Inform. Theory, vol. 58, no. 2, pp. 1043-1068, Feb. 2012.