Massive (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.

Massive MIMO (also known as Large-Scale Antenna Systems, Very Large MIMO, Hyper MIMO, Full-Dimension MIMO and ARGOS) makes a clean break with current practice through the use of a large excess of service-antennas over active terminals and time division duplex operation. Extra antennas help by focusing energy into ever-smaller regions of space to bring huge improvements in throughput and radiated energy efficiency. Other benefits of massive MIMO include the extensive use of inexpensive low-power components, reduced latency, simplification of the media access control (MAC) layer, and robustness to intentional jamming. The anticipated throughput depend on the propagation environment providing asymptotically orthogonal channels to the terminals, but so far experiments have not disclosed any limitations in this regard. While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly-joined terminals, the exploitation of extra degrees of freedom provided by the excess of service-antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.

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, IEEE Commun. Mag., vol. 52, no. 2, pp. 186-195, Feb. 2014.
  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. ICC 2013 tutorial on Massive MIMO by Erik G. Larsson and Fredrik Tufvesson, part I and part II.

Architecture aspects

  1. H. Q. Ngo, H. A. Suraweera, M. Matthaiou, and E. G. Larsson, Multipair full-duplex relaying with massive arrays and linear processing, IEEE Journal on Selected Areas in Communications, May 2014, to appear.
  2. J. Hoydis, K. Hosseini, S. ten Brink, and M. Debbah, Making Smart Use of Excess Antennas: Massive MIMO, Small Cells, and TDD, Bell Labs Technical Journal, vol. 18, no. 2, pp. 5-21, Sep. 2013.
  3. K. T. Truong and R. W. Heath, Jr., The Viability of Distributed Antennas for Massive MIMO Systems, Proc. of the Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, November 3-6, 2013.
  4. B. Li and P. Liang, Small Cell In-Band Wireless Backhaul in Massive MIMO Systems: A Cooperation of Next-Generation Techniques.
  5. E. Bjornson, M. Kountouris, M. Debbah, Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination, in Proc. ICT, May 2013
  6. B. Yin, M. Wu, C. Studer, J. R. Cavallaro, and Jorma Lilleberg, Full-Duplex in Large-Scale Wireless Systems, Proc. of the Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, November 3-6, 2013.

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., vol. 61, no. 4, pp. 1436-1449, April 2013.
  3. 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.
  4. 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.
  5. R. R. Muller, L. Cottatellucci, and M. Vehkapera, Blind Pilot Decontamination, IEEE Journal of Selected Topics in Signal Processing on Signal Processing for Large-Scale MIMO Communications, 2013, submitted.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. A. Farhang, N. Marchetti, L. E. Doyle, B. Farhang-Boroujeny, Filter Bank Multicarrier for Massive MIMO.

Aspects of CSI acquisition

  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. H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, Massive MU-MIMO Downlink TDD Systems with Linear Precoding and Downlink Pilots, in Proc. Allerton Conference on Communication, Control, and Computing, Urbana-Champaign, Illinois, Oct. 2013.
  3. J. Choi, Z. Chance, D. J. Love, U. Madhow, Noncoherent Trellis Coded Quantization: A Practical Limited Feedback Technique for Massive MIMO Systems.
  4. J. Choi, D. J. Love, and P. Bidigare, Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training with Memory, IEEE Journal of Selected Topics in Signal Processing on Signal Processing for Large-Scale MIMO Communications, 2013, submitted.
  5. 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.
  6. K. T. Truong and R. W. Heath, Jr., Effects of Channel Aging in Massive MIMO Systems, Journal of Communications and Networks, Special Issue on Massive MIMO, vol. 15, no. 4, pp. 338-351, Aug. 2013.
  7. 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.
  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. 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, vol. 31, no. 2, pp. 264-273, Feb. 2013.
  10. 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.
  11. 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.
  12. J. Nam, J-Y. Ahn, A. Adhikary, G. Caire, Joint Spatial Division and Multiplexing: Realizing Massive MIMO Gains with Limited Channel State Information, in Proc. Conference on Information Sciences and Systems, 2012.
  13. A. Schenk and R. F. H. Fischer, Noncoherent Detection in Massive MIMO Systems, in Proc. International ITG Workshop on Smart Antennas (WSA 2013), Stuttgart, Germany, March 2013.
  14. A. J. Duly, T. Kim, D. J. Love, J. V. Krogmeier,Closed-Loop Beam Alignment for Massive MIMO Channel Estimation, IEEE Commun. Lett., Aug. 2013, submitted.
  15. S. Nguyen and A. Ghrayeb, Precoding for multicell MIMO systems with compressive rank-q channel approximation, in Proc. IEEE PIMRC, London, UK, Sept. 2013.
  16. S. Nguyen and A. Ghrayeb,Compressive sensing-based channel estimation for massive multiuser MIMO systems, in Proc. IEEE WCNC, Shanghai, China, April 2013.
  17. S. Noh, M. D. Zoltowski, Y. Sung, and D. J. Love, Optimal Pilot Beam Pattern Design for Massive MIMO Systems, in Proc. IEEE Asilomar, Pacific Grove, CA, Nov. 2013.
  18. S. Noh, M. D. Zoltowski, Y. Sung, and D. J. Love, Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems, J. Sel. Topics Signal Process., 2013, submitted.
  19. N. Shariati, E. Bjornson, M. Bengtsson, and M. Debbah, Low Complexity Polynomial Channel Estimation in Large Scale MIMO with Arbitrary Statistics, J. Sel. Topics Signal Process., 2013, submitted.
  20. T. E. Bogale and L. B. Le, Pilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems, in Proc. CISS 2014.
  21. A. Hu, T. Lv, H. Gao, Z. Zhang, and S. Yang, An ESPRIT-based approach for 2-D localization of incoherently distributed sources in massive MIMO systems, IEEE Journal of Selected Topics in Signal Processing, to appear.
  22. K. T. Truong, A. Lozano, and R. W. Heath Jr., Optimal Training in Continuous Flat-Fading Massive MIMO Systems, in Proc. European Wireless Conference, pp. 1-6, May 2014, Barcelona.
  23. J. Ma and L. Ping, Data-Aided Channel Estimation in Large Antenna Systems, IEEE Trans. Signal Processing, 2014, to appear.

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., vol. 61, no. 3, pp. 1059-1071, Mar. 2013.
  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., vol. 11, no. 11, pp. 3992-4005, Nov. 2012.
  3. S. K. Mohammed and E. G. Larsson, Constant-Envelope Multi-User Precoding for Frequency-Selective Massive MIMO Systems, IEEE Wireless Commun. Lett., vol. 2, no. 5, pp. 547-550, Oct. 2013.
  4. C. Studer and E. G. Larsson, PAR-Aware Large-Scale Multi-User MIMO-OFDM Downlink, IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 303-313, Feb. 2013.
  5. 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.
  6. 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, vol. 31, no. 2, pp. 314-325, Feb. 2013.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. C. Lee, C-B. Chae, T. Kim, S. Choi, and J. Leez, Network Massive MIMO for Cell-Boundary Users: From a Precoding Normalization Perspective, IEEE Goblecom Workshops, 2012.
  15. 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, vol. 31, no. 2, pp. 226-240, Feb. 2013.
  16. 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.
  17. A. Liu and V. Lau, Hierarchical Interference Mitigation for Large MIMO Cellular Networks, IEEE Trans. Signal Processing, submitted, 2013.
  18. J. Park and B. Clerckx, Multi-user Linear Precoding for Multi-polarized Massive MIMO System under Imperfect CSI.
  19. Y. Xu, G. Yue, N. Prasad, S. Rangarajan, and S. Mao, User grouping and scheduling for large scale MIMO systems with two-stage precoding, in Proc. IEEE ICC 2014, Sydney, Australia, June 2014.
  20. A. Muller, A. Kammoun, E. Bjornson, and M. Debbah, Linear Precoding Based on Truncated Polynomial Expansion—Part I: Large-Scale Single-Cell Systems, IEEE Journal of Selected Topics in Signal Processing, submitted, 2014.
  21. A. Kammoun, A. Muller, E. Bjornson, and M. Debbah, Linear Precoding Based on Truncated Polynomial Expansion—Part II: Large-Scale Multi-Cell Systems, IEEE Journal of Selected Topics in Signal Processing, submitted, 2014.
  22. H. Prabhu, O. Edfors, J. Rodrigues, L. Liu, F. Rusek, Hardware Efficient Approximative Matrix Inversion for Linear Pre-Coding in Massive MIMO, IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, July 2014.
  23. H. Prabhu, O. Edfors, J. Rodrigues, L. Liu, F. Rusek, A low-complex peak-to-average power reduction scheme for OFDM based massive MIMO systems, IEEE International Symposium on communications, control and signal processing, Athens, Greece, May 2014.
  24. H. Prabhu, O. Edfors, J. Rodrigues, L. Liu, F. Rusek, Approximative Matrix Inverse Computations for Very-large MIMO and Applications to Linear Pre-coding Systems, in Proc. Wireless Communications and Networking Conference (WCNC), Shanghai, China, April 2013.
  25. S. Zarei, W. Gerstacker, R. R. Muller, and R. Schober, Low-Complexity Linear Precoding for Downlink Large-Scale MIMO Systems, in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sept. 2013.
  26. T. E. Bogale and L. B. Le, Beamforming for Multiuser Massive MIMO Systems: Digital versus Hybrid Analog-Digital, in Proc. IEEE Global Communications Conference (GLOBECOM), Dec. 2014.

Hardware impairment aspects

  1. A. Pitarokoilis, S. K. Mohammed, and E. G. Larsson, Uplink Performance of Time-Reversal MRC in Massive MIMO Systems Subject to Phase Noise, IEEE Trans. Wireless Commun., June 2013, submitted.
  2. 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.
  3. E. Björnson, J. Hoydis, M. Kountouris, and M. Debbah, Massive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits, IEEE Trans. Inform. Theory, July 2013, submitted.
  4. A. Hakkarainen, J. Werner, K. R. Dandekar, and M. Valkama, Widely-Linear Beamforming and RF Impairment Suppression in Massive Antenna Arrays, Journal of Communications and Networks, vol. 15, no. 4 (Special Issue on Massive MIMO), pp. 383-397, Aug. 2013.
  5. R. Rogalin, O. Y. Bursalioglu, H. Papadopoulos, G. Caire, A. Molisch, A. Michaloliakos, V. Balan, and K. Psounis, Scalable Synchronization and Reciprocity Calibration for Distributed Multiuser MIMO, IEEE Trans. Wireless Commun., to appear, Mar. 2014.

Antenna aspects

  1. M. A. Sedaghat, R. R. Muller, and G. Fischer, A Novel Single-RF Transmitter for Massive MIMO, ITG Workshop on Smart Antennas (WSA), Erlangen, Germany, Mar. 2014.
  2. Y.-H. Nam, B. L. Ng, K. Sayana, Y. Li, J. C. Zhang, Y. Kim, and J. Lee, Full-dimension MIMO (FD-MIMO) for next generation cellular technology, IEEE Commun. Mag., vol. 51, no. 6, pp. 172-178, June 2013.
  3. 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.
  4. 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
  5. Y. Zeng, R. Zhang, Z. N. Chen, Electromagnetic Lens-focusing Antenna Enabled Massive MIMO.
  6. C. Masouros, M. Sellathurai, and T. Ratnarajah, Large-Scale MIMO Transmitters in Fixed Physical Spaces: The Effect of Transmit Correlation and Mutual Coupling, IEEE Trans. Commun., vol. 61, no. 7, pp. 2794-2804, July 2013.

Channel measurements and modeling

  1. X. Gao, O. Edfors, F. Rusek, and F. Tufvesson, Massive MIMO in real propagation environments, IEEE Trans. Wireless Commun., submitted.
  2. 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.
  3. 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.
  4. 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. C. Shepard, H. Yu, and L. Zhong, ArgosV2: A Flexible Many-Antenna Research Platform,Extended Abstract for demonstration in Proc. ACM Int. Conf. Mobile Computing and Networking (MobiCom), October 2013
  3. 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.
  4. GreenTouch Shows Low Power Wireless.
  5. 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.
  6. 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.

Detection algorithms

  1. P. Svac, F. Meyer, E. Riegler, and F. Hlawatsch, Soft-Heuristic Detectors for Large MIMO SystemsSoft-Heuristic Detectors for Large MIMO Systems, IEEE Trans. Signal Processing, vol.61, No.18, pp.4573-4586, Sept. 2013.
  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. Tanumay Datta, N. Ashok Kumar, A. Chockalingam, and B. Sundar Rajan, A Novel Monte Carlo Sampling Based Receiver for Large-Scale Uplink Multiuser MIMO Systems, IEEE Trans. Veh. Technol., vol. 62, no. 7, pp. 3019-3038, Sept. 2013.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. T. Datta, N. Srinidhi, A. Chockalingam, and B. Sundar Rajan, A Hybrid RTS-BP Algorithm for Improved Detection of Large-MIMO M-QAM Signals, in Proc. IEEE National Conference on Communication, 2011.
  9. A. Chockalingam, Low-Complexity Algorithms for Large-MIMO Detection, in Proc. Communications, Control and Signal Processing (ISCCSP), 2010.
  10. 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.
  11. 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.
  12. P. Suthisopapan, K. Kasai, V. Imtawil, and A. Meesomboon, Approaching Capacity of Large MIMO Systems by Non-Binary LDPC Codes and MMSE Detection, in Proc. of the IEEE International Symposium on Information Theory, 2012.
  13. 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.
  14. 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.
  15. Q. Zhou and X. Ma, An Improved LR-aided K-Best Algorithm for MIMO Detection, in Proc. IEEE International Conference on Wireless Communications and Signal Processing (WCSP) 2012.
  16. T. L. Narasimhan and A. Chockalingam, M-ary Detection and q-ary Decoding in Large-Scale MIMO: A Non-Binary Belief Propagation Approach.
  17. K. A. Alnajjar, P. J. Smith, and G. K. Woodward, Low Complexity V-BLAST for Massive MIMO, in Proc. IEEE Conf. on Australian Communications Theory Workshop (AusCTW), Sydney, Australia, Feb. 2014.
  18. S. Wu, L. Kuang, Z. Ni, J. Lu, D. Huang, and Q. Guo, Low-Complexity Iterative Detection for Large-Scale Multiuser MIMO-OFDM Systems Using Approximate Message Passing, IEEE Journal of Selected Topics in Signal Processing, vol.PP, Mar. 2014.
  19. B. Yin, M. Wu, J. R. Cavallaro, C. Studer, Conjugate Gradient-based Soft-Output Detection and Precoding in Massive MIMO Systems.
  20. M. Wu, B. Yin, G. Wang, C. Dick, J. R. Cavallaro, and C. Studer, Large-Scale MIMO Detection for 3GPP LTE: Algorithm and FPGA Implementation, IEEE Journal of Selected Topics in Signal Processing, 2014.
  21. B. Yin, M. Wu, C. Studer, J. R. Cavallaro, and C. Dick, Implementation trade-offs for linear detection in large-scale MIMO systems, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013.
  22. M. Wu, B. Yin, A. Vosoughi, C. Studer, J. R. Cavallaro, and C. Dick, Approximate matrix inversion for high-throughput data detection in the large-scale MIMO uplink, Proc. IEEE International Symposium on Circuits and Systems (ISCAS), May 2013.
  23. B. Yin, M. Wu, G. Wang, C. Dick, J. R. Cavallaro, and C. Studer, A 3.8 Gb/s Large-scale MIMO Detector for 3GPP LTE-Advanced, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014.

Resource allocation

  1. E. Bjornson, E. Jorswieck, M. Debbah, B. Ottersten, Multi-Objective Signal Processing Optimization: The Way to Balance Conflicting Metrics in 5G Systems, Accepted for publication in IEEE Signal Processing Magazine (Special Issue on Signal Processing for the 5G Revolution), 2014.
  2. E. Bjornson, L. Sanguinetti, J. Hoydis, and M. Debbah, Designing Multi-User MIMO for Energy Efficiency: When is Massive MIMO the Answer?, IEEE Wireless Communications and Networking Conference (WCNC), Istanbul, Turkey, Apr. 2014, sumitted.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Le-Nam Tran, Muhammad-Fainan Hanif, and Markku Juntti, A Conic Quadratic Programming Approach to Physical Layer Multicasting for Large-Scale Antenna Arrays, IEEE Signal Process. Lett., vol. 21, no. 1, pp. 114-117, Jan. 2014. [Matlab Code]

Performance analysis

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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.