Massive MIMO Systems: Signal Processing Challenges and Research Trends

This article presents a tutorial on multiuser multiple-antenna wireless systems with a very large number of antennas, known as massive multi-input multi-output (MIMO) systems. Signal processing challenges and future trends in the area of massive MIMO systems are presented and key application scenarios are detailed. A linear algebra approach is considered for the description of the system and data models of massive MIMO architectures. The operational requirements of massive MIMO systems are discussed along with their operation in time-division duplexing mode, resource allocation and calibration requirements. In particular, transmit and receiver processing algorithms are examined in light of the specific needs of massive MIMO systems. Simulation results illustrate the performance of transmit and receive processing algorithms under scenarios of interest. Key problems are discussed and future trends in the area of massive MIMO systems are pointed out.

[1]  Veljko Stankovic,et al.  Generalized Design of Multi-User MIMO Precoding Matrices , 2008, IEEE Transactions on Wireless Communications.

[2]  Alain Glavieux,et al.  Reflections on the Prize Paper : "Near optimum error-correcting coding and decoding: turbo codes" , 1998 .

[3]  Martin J. Wainwright,et al.  A new class of upper bounds on the log partition function , 2002, IEEE Transactions on Information Theory.

[4]  R. D. Lamare.  Massive MIMO Systems : Signal Processing Challenges and Future Trends , 2013 .

[5]  Peng Li,et al.  Multiple output selection-LAS algorithm in large MIMO systems , 2010, IEEE Communications Letters.

[6]  Emanuele Viterbo,et al.  A universal lattice code decoder for fading channels , 1999, IEEE Trans. Inf. Theory.

[7]  N.D. Sidiropoulos,et al.  On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm , 2005, IEEE Transactions on Signal Processing.

[8]  Xiaojun Yuan,et al.  Evolution analysis of low-cost iterative equalization in coded linear systems with cyclic prefixes , 2008, IEEE Journal on Selected Areas in Communications.

[9]  Zhan Guo,et al.  Algorithm and implementation of the K-best sphere decoding for MIMO detection , 2006, IEEE Journal on Selected Areas in Communications.

[10]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[11]  Josef A. Nossek,et al.  Linear transmit processing in MIMO communications systems , 2005, IEEE Transactions on Signal Processing.

[12]  Tülay Adali,et al.  Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety , 2011, IEEE Transactions on Signal Processing.

[13]  Thomas L. Marzetta,et al.  Performance of Conjugate and Zero-Forcing Beamforming in Large-Scale Antenna Systems , 2013, IEEE Journal on Selected Areas in Communications.

[14]  Andrea J. Goldsmith,et al.  On the capacity of multiple input multiple output broadcast channels , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[15]  Rodrigo C. de Lamare,et al.  Low-Latency Reweighted Belief Propagation Decoding for LDPC Codes , 2012, IEEE Communications Letters.

[16]  Alex B. Gershman,et al.  Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals , 2006, IEEE Transactions on Signal Processing.

[17]  Christophe Andrieu,et al.  Probabilistic data association for symbol detection in MIMO systems , 2006 .

[18]  A. Lee Swindlehurst,et al.  A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization , 2005, IEEE Transactions on Communications.

[19]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[20]  Nam Ik Cho,et al.  Improved linear soft-input soft-output detection via soft feedback successive interference cancellation , 2010, IEEE Transactions on Communications.

[21]  Rodrigo C. de Lamare,et al.  Adaptive reduced-rank MMSE filtering with interpolated FIR filters and adaptive interpolators , 2005, IEEE Signal Process. Lett..

[22]  F. De Flaviis,et al.  Optimization of Linear Multielement Antennas for Selection Combining by Means of a Butler Matrix in Different MIMO Environments , 2006, IEEE Transactions on Antennas and Propagation.

[23]  Heung-No Lee,et al.  Performance Analysis for LDPC-Coded Modulation in MIMO Multiple-Access Systems , 2007, IEEE Trans. Commun..

[24]  Erik G. Larsson,et al.  Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems , 2011, IEEE Transactions on Communications.

[25]  Xiaoli Ma,et al.  Element-Based Lattice Reduction Algorithms for Large MIMO Detection , 2013, IEEE Journal on Selected Areas in Communications.

[26]  H. Vincent Poor,et al.  Iterative (turbo) soft interference cancellation and decoding for coded CDMA , 1999, IEEE Trans. Commun..

[27]  Wai Ho Mow,et al.  Complex Lattice Reduction Algorithm for Low-Complexity Full-Diversity MIMO Detection , 2009, IEEE Transactions on Signal Processing.

[28]  Michael L. Honig,et al.  Minimum mean-squared error multiuser decision-feedback detectors for DS-CDMA , 2002, IEEE Trans. Commun..

[29]  Yong Hoon Lee,et al.  Adaptive MIMO decision feedback equalization for receivers with time-varying channels , 2003, IEEE Transactions on Signal Processing.

[30]  Alain Glavieux,et al.  Iterative correction of intersymbol interference: Turbo-equalization , 1995, Eur. Trans. Telecommun..

[31]  Rodrigo C. de Lamare,et al.  Adaptive Decision-Feedback Detection With Constellation Constraints for MIMO Systems , 2012, IEEE Transactions on Vehicular Technology.

[32]  Rodrigo C. de Lamare,et al.  Multi-Branch Successive Interference Cancellation for MIMO Spatial Multiplexing Systems , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[33]  Krishna R. Pattipati,et al.  Optimal user ordering and time labeling for ideal decision feedback detection in asynchronous CDMA , 2003, IEEE Trans. Commun..

[34]  Rodrigo C. de Lamare,et al.  Reduced-Rank Space-Time Adaptive Interference Suppression With Joint Iterative Least Squares Algorithms for Spread-Spectrum Systems , 2010, IEEE Trans. Veh. Technol..

[35]  Mahesh K. Varanasi,et al.  Decision Feedback Multiuser Detection: A Systematic Approach , 1999, IEEE Trans. Inf. Theory.

[36]  Rodrigo C. de Lamare,et al.  Adaptive and Iterative Multi-Branch MMSE Decision Feedback Detection Algorithms for Multi-Antenna Systems , 2013, IEEE Trans. Wirel. Commun..

[37]  Henk Wymeersch,et al.  Uniformly Reweighted Belief Propagation for Estimation and Detection in Wireless Networks , 2012, IEEE Transactions on Wireless Communications.

[38]  C. Waldschmidt,et al.  Compact wide-band multimode antennas for MIMO and diversity , 2004, IEEE Transactions on Antennas and Propagation.

[39]  Reinaldo A. Valenzuela,et al.  Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture , 1999 .

[40]  Fredrik Tufvesson,et al.  Measured propagation characteristics for very-large MIMO at 2.6 GHz , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[41]  Xiaojun Yuan,et al.  Hermitian Precoding for Distributed MIMO Systems with Individual Channel State Information , 2013, IEEE Journal on Selected Areas in Communications.

[42]  R. D. Lamare,et al.  Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering , 2009, IEEE Transactions on Signal Processing.

[43]  Erik G. Larsson,et al.  Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..

[44]  Stephan ten Brink,et al.  Achieving near-capacity on a multiple-antenna channel , 2003, IEEE Trans. Commun..

[45]  B. Sundar Rajan,et al.  A Low-Complexity Detector for Large MIMO Systems and Multicarrier CDMA Systems , 2008, IEEE Journal on Selected Areas in Communications.

[46]  Thomas L. Marzetta,et al.  Pilot Contamination and Precoding in Multi-Cell TDD Systems , 2009, IEEE Transactions on Wireless Communications.

[47]  R. Sampaio-Neto,et al.  Reduced-Rank Adaptive Filtering Based on Joint Iterative Optimization of Adaptive Filters , 2007, IEEE Signal Processing Letters.

[48]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[49]  Inkyu Lee,et al.  Iterative detection and decoding with an improved V-BLAST for MIMO-OFDM systems , 2006, IEEE Journal on Selected Areas in Communications.

[50]  Eitan Altman,et al.  Interference coordination in wireless networks: A flow-level perspective , 2013, 2013 Proceedings IEEE INFOCOM.

[51]  Martin Haardt,et al.  Blind Adaptive Constrained Reduced-Rank Parameter Estimation Based on Constant Modulus Design for CDMA Interference Suppression , 2008, IEEE Transactions on Signal Processing.

[52]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[53]  Giuseppe Caire,et al.  Joint spatial division and multiplexing: Realizing massive MIMO gains with limited channel state information , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[54]  Rodrigo C. de Lamare,et al.  Low-Complexity Lattice Reduction-Aided Regularized Block Diagonalization for MU-MIMO Systems , 2012, IEEE Communications Letters.

[55]  Giuseppe Caire,et al.  On maximum-likelihood detection and the search for the closest lattice point , 2003, IEEE Trans. Inf. Theory.

[56]  Ngoc-Dung Dào,et al.  User-Selection Algorithms for Multiuser Precoding , 2010, IEEE Transactions on Vehicular Technology.

[57]  Rodrigo C. de Lamare,et al.  Multiple Feedback Successive Interference Cancellation Detection for Multiuser MIMO Systems , 2011, IEEE Transactions on Wireless Communications.

[58]  Rodrigo C. de Lamare,et al.  Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems , 2008, IEEE Trans. Commun..

[59]  LiPeng,et al.  Multiple output selection-LAS algorithm in large MIMO systems , 2010 .

[60]  Inkyu Lee,et al.  Iterative Detection and Decoding with an Improved V-BLAST for MIMO-OFDM systems , 2006, ICC.

[61]  Martin Haardt,et al.  Adaptive Widely Linear Reduced-Rank Interference Suppression Based on the Multistage Wiener Filter , 2012, IEEE Transactions on Signal Processing.

[62]  Martin Haardt,et al.  Generalized Design of Low-Complexity Block Diagonalization Type Precoding Algorithms for Multiuser MIMO Systems , 2013, IEEE Transactions on Communications.

[63]  Jeffrey G. Andrews,et al.  Low Complexity User Selection Algorithms for Multiuser MIMO Systems with Block Diagonalization , 2006, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

[64]  M.A. Jensen,et al.  Termination-dependent diversity performance of coupled antennas: network theory analysis , 2004, IEEE Transactions on Antennas and Propagation.

[65]  Jie-Bang Yan,et al.  24-Port and 36-Port Antenna Cubes Suitable for MIMO Wireless Communications , 2008, IEEE Transactions on Antennas and Propagation.

[66]  Alexandra Duel-Hallen,et al.  Equalizers for Multiple Input/Multiple Output Channels and PAM Systems with Cyclostationary Input Sequences , 1992, IEEE J. Sel. Areas Commun..

[67]  Thomas L. Marzetta,et al.  Argos: practical many-antenna base stations , 2012, Mobicom '12.

[68]  Robert F. H. Fischer,et al.  Precoding in multiantenna and multiuser communications , 2004, IEEE Transactions on Wireless Communications.

[69]  Stephan ten Brink,et al.  Channel measurements for large antenna arrays , 2012, 2012 International Symposium on Wireless Communication Systems (ISWCS).

[70]  Thomas L. Marzetta,et al.  Pilot contamination precoding in multi-cell large scale antenna systems , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

[71]  Jacob Benesty,et al.  A fast recursive algorithm for optimum sequential signal detection in a BLAST system , 2003, IEEE Trans. Signal Process..

[72]  Paul H. Siegel,et al.  Design of multi-input multi-output systems based on low-density Parity-check codes , 2005, IEEE Transactions on Communications.

[73]  Byonghyo Shim,et al.  On further reduction of complexity in tree pruning based sphere search , 2010, IEEE Transactions on Communications.

[74]  James R. Zeidler,et al.  Mitigating error propagation effects in a decision feedback equalizer , 2001, IEEE Trans. Commun..

[75]  J.B. Huber,et al.  Iterative soft decision interference cancellation receivers for DS-CDMA downlink employing 4QAM and 16QAM , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[76]  Jiawei Yang,et al.  On the Relation Between PDA and MMSE-ISDIC , 2007, IEEE Signal Processing Letters.

[77]  Mikko Valkama,et al.  Widely-linear beamforming and RF impairment suppression in massive antenna arrays , 2013, Journal of Communications and Networks.

[78]  Stella N. Batalama,et al.  Data-record-based criteria for the selection of an auxiliary-vector estimator of the MVDR filter , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[79]  Sergio Verdu,et al.  Multiuser Detection , 1998 .

[80]  Jiang Yue,et al.  A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems , 2005, IEEE Transactions on Wireless Communications.

[81]  Rodrigo C. de Lamare,et al.  Transmit Diversity and Relay Selection Algorithms for Multirelay Cooperative MIMO Systems , 2012, IEEE Transactions on Vehicular Technology.

[82]  Lutz H.-J. Lampe,et al.  A performance study of MIMO detectors , 2006, IEEE Transactions on Wireless Communications.

[83]  Carlos Mosquera,et al.  Performance study of multiuser interference mitigation schemes for hybrid broadband multibeam satellite architectures , 2012, EURASIP J. Wirel. Commun. Netw..

[84]  Helmut Bölcskei,et al.  Soft-output sphere decoding: algorithms and VLSI implementation , 2008, IEEE Journal on Selected Areas in Communications.

[85]  Kostas Berberidis,et al.  A square-root adaptive V-BLAST algorithm for fast time-varying MIMO channels , 2006, IEEE Signal Processing Letters.

[86]  R. Sampaio-Neto,et al.  Adaptive MBER decision feedback multiuser receivers in frequency selective fading channels , 2003, IEEE Communications Letters.

[87]  Rick S. Blum,et al.  Multiuser diversity for a dirty paper approach , 2003, IEEE Communications Letters.

[88]  Rodrigo C. de Lamare,et al.  Adaptive Reduced-Rank Equalization Algorithms Based on Alternating Optimization Design Techniques for MIMO Systems , 2011, IEEE Trans. Veh. Technol..

[89]  Andrew C. Singer,et al.  Minimum mean squared error equalization using a priori information , 2002, IEEE Trans. Signal Process..

[90]  Are Hjørungnes,et al.  Joint iterative interference cancellation and parameter estimation for cdma systems , 2007, IEEE Communications Letters.

[91]  Philip Schniter,et al.  On the Design of Large Scale Wireless Systems , 2013, IEEE Journal on Selected Areas in Communications.

[92]  Tim Schenk,et al.  RF Imperfections in High-rate Wireless Systems: Impact and Digital Compensation , 2008 .