Beyond Massive MIMO

The development of new technologies and applications such as virtual reality, ultra high-definition video conferencing, and internet of everything has caused a revolutionary change in the demand for data rate in cellular systems. While conventional cellular technologies are not able to effectively respond to this demand, Massive MIMO can provide significantly high data rates to meet this demand. In massive MIMO cellular systems, a large number of antennas are employed at each base station (BS) to serve multiple single-antenna users within each cell over the same time-frequency interval. In this research, we investigate several analytical and practical aspects of Massive MIMO systems operating based on time-division duplexing (TDD) or frequency-division duplex (FDD) operation.

Availability of channel state information is crucial to fully exploit spatial multiplexing gains in massive MIMO systems. It is known that using a TDD protocol with uplink channel training provides a scalable system where we can increase the number of antennas at the base station without increasing the channel estimation overhead. In this research, we investigate the impact of using sectorized antenna elements on the effects of ‘pilot contamination’ caused by reusing pilot sequences used for channel estimation in TDD Massive MIMO systems. Furthermore, we analyze the performance of ‘multi-point coordination’ in Massive MIMO systems for different precoding and decoding schemes. Power control is a crucial task in Massive MIMO systems to provide good quality of service for the users. We study various centralized and decentralized power control strategies with different fairness criteria.

Although TDD Massive MIMO systems provide significant multiplexing gains, more that 80% of the cellular market is based on FDD in the North America. Due to the lack of reciprocity in FDD, we need to estimate uplink and downlink channels separately. However, as opposed to the uplink, the time required to estimate the downlink channels is proportional to the number of antennas at the base station. This means that we cannot scale up the number of antennas at each base station arbitrarily in FDD Massive MIMO systems due to the channel estimation overhead. One of the goals in this project is to bring a flavor of Massive MIMO to FDD LTE systems with different hardware constraints. To this end, we collaborate with Blue Danube Systems, one of our 5G industrial collaborators. The key idea is to use RF coherent massive antenna arrays in which offline and online calibration techniques are used to compensate deterministic and random offsets enabling a precise control on the radiation pattern of the antenna arrays. In this research, we study various single-cell and multi-cell beamforming optimization schemes in FDD Massive MIMO systems with RF coherent antenna arrays. The designed algorithms are also implemented in commercial software called BeamPlanner used for beam pattern optimization in FDD Massive MIMO systems.

Featured Group Publications

S. Shahsavari, A. Ashikhmin, E. Erkip, and T. L. Marzetta, “Coordinated Multi-Point Massive MIMO Cellular Systems with Sectorized Antennas,” IEEE Asilomar Conference on Signals, Systems, and Computers, October 2018.
S. Shahsavari, A. Hosseini, C. Ng, and E. Erkip, “Adaptive hybrid beamforming with Massive phased arrays in macro-cellular networks,” IEEE 5G World Forum, June 2018.
S. Shahsavari, P. Hassanzadeh, A. Ashikhmin, and E. Erkip, “Sectoring in Multi-cell Massive MIMO Systems,” IEEE Asilomar Conference on Signals, Systems, and Computers, October 2017.

RESEARCH PAPERS

Citation	View Papers	Research Areas	Date
S. Heidarian et al., “Covid-fact: A fully-automated capsule network-based framework for identification of covid-19 cases from chest ct scans,” in Frontiers in Artificial Intelligence, vol. 4, pp. 65, May 2021, doi: 10.3389/frai.2021.598932	Affiliate Access Only	Applications, machine learning	May 25, 2021
L. Tøttrup, S. F. Atashzar, D. Farina, E. N. Kamavuako, W. Jensen, “Altered evoked low-frequency connectivity from SI to ACC following nerve injury in rats,” in Journal of Neural Engineering, vol. 18, no. 4, 2021, doi: 10.1088/1741-2552/abfeb9	Affiliate Access Only	Applications, machine learning	May 21, 2021
S. Shahtalebi, S. F. Atashzar, R. V. Patel, M. S. Jog, A. Mohammadi, “A deep explainable artificial intelligent framework for neurological disorders discrimination,” in Scientific Reports, vol. 11, no. 1, pp. 1-18, May 2021, doi: 10.1038/s41598-021-88919-9	Affiliate Access Only	Applications, machine learning	May 5, 2021
E. Rahimian, S. Zabihi, A. Asif, D. Farina, S. F. Atashzar, A. Mohammadi, “FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1004-1015, 2021, doi: 10.1109/TNSRE.2021.3077413	Affiliate Access Only	Applications, machine learning	May 4, 2021
D. Jiménez-Grande, S. F. Atashzar, E. Martinez-Valdes, A. Marco De Nunzio, D. Falla, “Kinematic biomarkers of chronic neck pain measured during gait: A data-driven classification approach,” in Journal of Biomechanics, vol. 118, 2021, 110190, doi: 10.1016/j.jbiomech.2020.110190	Affiliate Access Only	Applications, machine learning	March 30, 2021
P. Gulati, Q. Hu, S. F. Atashzar, “Toward Deep Generalization of Peripheral EMG-Based Human-Robot Interfacing: A Hybrid Explainable Solution for NeuroRobotic Systems,” in IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 2650-2657, April 2021, doi: 10.1109/LRA.2021.3062320	Affiliate Access Only	Applications, machine learning	February 25, 2021
A. K. Clarke et al., “Deep Learning for Robust Decomposition of High-Density Surface EMG Signals,” in IEEE Transactions on Biomedical Engineering, vol. 68, no. 2, pp. 526-534, Feb. 2021, doi: 10.1109/TBME.2020.3006508	Affiliate Access Only	Applications, machine learning	February 1, 2021
C. S. M. Castillo, S. Wilson, R. Vaidyanathan, S. F. Atashzar, “Wearable MMG-Plus-One Armband: Evaluation of Normal Force on Mechanomyography (MMG) to Enhance Human-Machine Interfacing,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 196-205, 2021, doi: 10.1109/TNSRE.2020.3043368	Affiliate Access Only	Applications, machine learning	December 8, 2020
W. Xia, S. Rangan, M. Mezzavilla, A. Lozano, G. Geraci, V. Semkin, and G. Loianno, “Millimeter wave channel modeling via generative neural networks,” IEEE Globecom 2020. Available as arXiv:2008.11006, Aug. 2020.	Affiliate Access Only	5g and 6g apps, machine learning	December 7, 2020
L. Tøttrup, S. F. Atashzar, D. Farina, E. N. Kamavuako, W. Jensen, “Nerve Injury Decreases Hyperacute Resting-State Connectivity Between the Anterior Cingulate and Primary Somatosensory Cortex in Anesthetized Rats,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 12, pp. 2691-2698, Dec. 2020, doi: 10.1109/TNSRE.2020.3039854	Affiliate Access Only	Applications, machine learning	November 25, 2020
O. Levchenko, B. Kolev, D. Yagoubi, R. Akbarinia, F. Masseglia, T. Palpanas, D. Shasha, P. Valduriez, “Best Neighbor: Efficient Evaluation of kNN Queries on Large Time Series Data,” Knowledge and Information Systems Journal, November, 2020, KAIS-D-20-00131R1, doi: 10.1007/s10115-020-01518-4	Affiliate Access Only	machine learning	November 16, 2020
P. G. Sagastegui Alva, S. Muceli, S. F. Atashzar, L. William, D. Farina, “Wearable multichannel haptic device for encoding proprioception in the upper limb,” in Journal of Neural Engineering, vol. 17, no. 5, Oct. 2020, doi: 10.1088/1741-2552/aba6da	Affiliate Access Only	Applications, machine learning	October 13, 2020
P. Skrimponis, N. Makris, S. B. Rajguru, K. Cheng, J. Ostrometzky, E. Ford, Z. Kostic, G. Zussman, T. Korakis. 2020. COSMOS educational toolkit: using experimental wireless networking to enhance middle/high school STEM education. SIGCOMM Comput. Commun. Rev. 50, 4 (October 2020), 58–65. DOI:https://doi.org/10.1145/3431832.3431839	Affiliate Access Only	5g and 6g apps, machine learning, testbeds	October 1, 2020
M. Stachaczyk, S. F. Atashzar, S. Dupan, I. Vujaklija, D. Farina, “Toward Universal Neural Interfaces for Daily Use: Decoding the Neural Drive to Muscles Generalises Highly Accurate Finger Task Identification Across Humans,” in IEEE Access, vol. 8, pp. 149025-149035, 2020, doi: 10.1109/ACCESS.2020.3015761	Affiliate Access Only	Applications, machine learning	August 11, 2020
M. Faieghi, S. F. Atashzar, M. Sharma, O. R. Tutunea-Fatan, R. Eagleson, L. M. Ferreira, “Vibration Analysis in Robot-Driven Glenoid Reaming Procedure,” in 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2020, pp. 741-746, doi: 10.1109/AIM43001.2020.9158836	Affiliate Access Only	Applications, machine learning	August 5, 2020
M. Faieghi, S. F. Atashzar, O. R. Tutunea-Fatan, R. Eagleson, “Parallel Haptic Rendering for Orthopedic Surgery Simulators,” in IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6388-6395, Oct. 2020, doi: 10.1109/LRA.2020.3013891	Affiliate Access Only	Applications, machine learning	August 4, 2020
J.F. Beltran, B.M. Wahba, N. Hose, D. Shasha, R. Kline, “Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer’s Disease Neuroimaging (ADNI) database,” for the Alzheimer’s Disease Neuroimaging Initiative, PLOS ONE, July 27, 2020	Affiliate Access Only	machine learning	July 27, 2020
Mohammad A. S., Kosta V., Bhargava M., “Enhancing Routing Protocol for Wireless Sensor Network to Advance Network Lifetime,” Space Flight Center, USA, June 2020	Affiliate Access Only	5g and 6g apps, machine learning	June 30, 2020
S. Dutta, A. Khalili, E. Erkip, and S. Rangan, “Capacity Bounds for Communication Systems with Quantization and Spectral Constraints,” IEEE International Symposium on Information Theory (ISIT), 21 Jun 2020.	Affiliate Access Only	machine learning	June 21, 2020
A. Khalili, S. Shahsavari, M. A. Khojastpour, and E. Erkip, “On Optimal Multi-user Beam Alignment in Millimeter Wave Wireless Systems,” IEEE International Symposium on Information Theory (ISIT), 21 Jun 2020.	Affiliate Access Only	machine learning	June 21, 2020
R. Lourenço, J. Freire, D. Shasha, “BugDoc: Algorithms to Debug Computational Processes” ACM SIGMOD, June 16, 2020	Affiliate Access Only	machine learning	June 16, 2020
S. Krishna, N. Patel, D. Shasha, T. Wies, “Verifying Concurrent Search Structure Templates” ACM SIGPLAN Conference on Programming Language Design and Implementation, June 15, 2020	Affiliate Access Only	machine learning	June 15, 2020
S. H. A. Shah, M. Sharma, S.Rangan, “LSTM-Based Multi-Link Prediction for mmWaveand Sub-THz Wireless Systems” accepted in 2020 IEEE International Conference on Communications (ICC), pp. 1–6, June 2020	Affiliate Access Only	machine learning, terahertz	June 11, 2020
M. Stachaczyk, S. F. Atashzar and D. Farina, “Adaptive Spatial Filtering of High-Density EMG for Reducing the Influence of Noise and Artefacts in Myoelectric Control,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, doi: 10.1109/TNSRE.2020.2986099.	Affiliate Access Only	machine learning	May 14, 2020
J. Cirrone, M. D. Brooks, R. Bonneau, G. M. Coruzzi, D. Shasha, “OutPredict: multiple datasets can improve prediction of expression and inference of causality” Nature Scientific Reports, 2020	Affiliate Access Only	machine learning	May 1, 2020
A. Khalili, S. Shahsavari, F. Shirani, E. Erkip, and Y. C. Eldar, “On throughput of millimeter-wave MIMO systems with low-resolution ADCs,” IEEE International Conference on Acoustics, Speech and signal Processing (ICASSP), 9 Apr 2020.	Affiliate Access Only	machine learning	April 9, 2020
E. Rahimian, S. Zabihi, S. F. Atashzar, A. Asif and A. Mohammadi, “XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification,” ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 1304-1308, doi: 10.1109/ICASSP40776.2020.9054586.	Affiliate Access Only	machine learning	April 5, 2020
S. Datta, E. Sharma and R. Budhiraja, “Power Scaling for Massive MIMO UAV Communication System,” 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2020, pp. 507-510, doi: 10.1109/COMSNETS48256.2020.9027384.	Affiliate Access Only	5g and 6g apps, machine learning	March 9, 2020
M. Khosravi, S. F. Atashzar, G. Gilmore, M. S. Jog and R. V. Patel, “Intraoperative Localization of STN During DBS Surgery Using a Data-Driven Model,” in IEEE Journal of Translational Engineering in Health and Medicine, vol. 8, pp. 1-9, 2020, Art no. 2500309, doi: 10.1109/JTEHM.2020.2969152.	Affiliate Access Only	5g and 6g apps, machine learning	January 30, 2020
T. Marzetta, “Super-Directive Antenna Arrays: Fundamentals and New Perspectives,” 2019 53rd Asilomar Conference on Signals, Systems, and Computers, Nov 3, 2019	Affiliate Access Only	machine learning	November 3, 2019
F. Carpi, C. Häger, M. Martalò, R. Raheli, H. Pfister, “Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding” 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, September 24-27, 2019	Affiliate Access Only	machine learning	September 27, 2019
Panagiotis Skrimponis, Emmanouil Pissadakis, Nikolaos Alachiotis, and Dionisios Pnevmatikatos, “Accelerating Binarized Convolutional Neural Networks with Dynamic Partial Reconfiguration on Disaggregated FPGAs,” In Proceedings of Parallel Computing (PARCO) (2019). DOI: 10.3233/APC200099	Affiliate Access Only	machine learning	September 10, 2019
S. Shahsavari, A. Hosseini, C. Ng, E. Erkip “On the Optimal Two-antenna Static Beamforming with Per-antenna Power Constraints,” IEEE Signal Processing Letters, July 2019	Affiliate Access Only	machine learning	July 1, 2019
R. Lourenço, J. Freire, D. Shasha, “Debugging Machine Learning Pipelines,” Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, June 2019	Affiliate Access Only	machine learning	June 30, 2019
Q. Yang, P. Hassanzadeh, D. Gündüz, E. Erkip, “Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels,” arXiv preprint arXiv:1906.09970, June 2019	Affiliate Access Only	machine learning	June 21, 2019
A. Balashankar, A. Lees, C. Welty, L. Subramanian, “Pareto-Efficient Fairness for Skewed Subgroup Data,” Thirty-sixth International Conference on Machine Learning, June 2019	Affiliate Access Only	machine learning	June 15, 2019
P. Hassanzadeh, A.M. Tulino, J. Llorca, E. Erkip, “Rate-Distortion-Memory Trade-offs in Heterogeneous Caching Networks,” arXiv preprint arXiv:1905.09446, May 2019	Affiliate Access Only	machine learning	May 23, 2019
F. Shirani, S. Shahsavari, E. Erkip, “On the Rates of Convergence in Learning of Optimal Temporally Fair Schedulers,” arXiv preprint arXiv:1905.09843, May 2019	Affiliate Access Only	machine learning	May 23, 2019
S. Shahsavari, F. Shirani, M.A. Khojastepour, E. Erkip, “Opportunistic Temporal Fair Mode Selection and User Scheduling for Full-duplex Systems,” arXiv preprint arXiv:1905.08992, May 2019	Affiliate Access Only	machine learning	May 22, 2019
RW Heath, N Gonzalez-Prelcic, S Rangan, W Roh, AM Sayeed, “An overview of signal processing techniques for millimeter wave MIMO systems,” IEEE journal of selected topics in signal processing 10 (3), 436-453, April 2016	Affiliate Access Only	machine learning, terahertz	April 15, 2019
S. Xu, P. Liu, R. Wang, and S. Panwar, “Realtime scheduling and power allocation using deep neural networks,” in 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019), Marrakech, Morocco, Apr. 2019.	Affiliate Access Only	machine learning, mobile edge	April 14, 2019
M. D. Brooks, J. Cirrone, A. V. Pasquino, J. M. Alvarez, J. Swift, S. Mittal, C.L. Juang, K. Varala, R.A. Gutiérrez, G. Krouk, D. Shasha, G.M. Coruzzi, “Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions,” Nature communications 10 (1), 1569, April 5, 2019	Affiliate Access Only	machine learning	April 5, 2019
S. Mu, S. Angel, D. Shasha, “Deferred Runtime Pipelining for contentious multicore software transactions,” Proceedings of the Fourteenth EuroSys Conference 2019, 40, March 2019	Affiliate Access Only	machine learning	March 25, 2019
G. Micale, A. Pulvirenti, A. Ferro, R. Giugno, D. Shasha, “Fast methods for finding significant motifs on labelled multi-relational networks,” Journal of Complex Networks, March 3, 2019	Affiliate Access Only	machine learning	March 13, 2019
S. Shahsavari, F. Shirani, E. Erkip, “A general framework for temporal fair user scheduling in NOMA systems,” IEEE Journal of Selected Topics in Signal Processing, May 2019	Affiliate Access Only	machine learning	March 7, 2019
A. Aparo, V. Bonnici, G. Micale, A. Ferro, D. Shasha, A. Pulvirenti, R. Giugno, “Fast Subgraph Matching Strategies Based on Pattern-Only Heuristics,” Interdisciplinary Sciences: Computational Life Sciences 11 (1), 21-32, March 2019	Affiliate Access Only	machine learning	March 1, 2019
J.S. Lu, E.M. Vitucci, V. Degli-Esposti, F. Fuschini, M. Barbiroli, J.A. Blaha and H.L. Bertoni, “A Discrete Environment-Driven GPU-Based Ray Launching Algorithm,” IEEE Transactions on Antennas and Propagation; Vol. 67, No. 2, pp. 1180-1192, February 2019.	Affiliate Access Only	machine learning, testbeds	February 1, 2019
S. Mu, S. Angel, D. Shasha, “Deferred runtime pipelining for contentious multicore software transactions (extended version),” Technical Report MS-CIS-19-02, University of Pennsylvania, Feb. 2019	Affiliate Access Only	machine learning	February 1, 2019
E Björnson, L Sanguinetti, H Wymeersch, J Hoydis, TL Marzetta, “Massive MIMO is a Reality-What is Next? Five Promising Research Directions for Antenna Arrays,” arXiv preprint arXiv:1902.07678, Feb. 2019.	Affiliate Access Only	machine learning	February 1, 2019
A. Khalili, F. Shirani, E. Erkip, and Y. C. Eldar, “On multiterminal communication over MIMO channels with one-bit ADCs at the receivers,” arXiv preprint arXiv:1901.10628, 2019.	Affiliate Access Only	machine learning, mobile edge	January 30, 2019
A. Khalili, F. Shirani, E. Erkip, and Y. C. Eldar, “Tradeoff between delay and high SNR capacity in quantized MIMO systems,” arXiv preprintarXiv:1901.09844, 2019.	Affiliate Access Only	machine learning, mobile edge	January 28, 2019
S. Shahsavari, F. Shirani, E. Erkip, “On the Fundamental Limits of Multi-user Scheduling under Short-term Fairness Constraints,” arXiv preprint arXiv:1901.07719, Jan 2019	Affiliate Access Only	machine learning	January 23, 2019
F. Shirani, S. Gar, E. Erkip, “A Concentration of Measure Approach to Database De-anonymization,” arXiv preprint arXiv:1901.07655, Jan 2019	Affiliate Access Only	machine learning	January 23, 2019
G. Micale, S. Alaimo, A. Laganà, S. Parekh, D. Shasha, A. Pulvirenti, A. Ferro, “Machine Learning and Pathway Analysis on RNA-Seq Enables Precise Cancer Diagnosis and Prognosis,” Available at SSRN 3327353, 2019	Affiliate Access Only	machine learning	January 1, 2019
D. Shasha, “Randomized anti-counterfeiting,” Communications of the ACM 62 (1), 120-ff, Dec. 2019	Affiliate Access Only	machine learning	December 19, 2018
D. Dessì, J. Cirrone, D.R. Recupero, D. Shasha, “SuperNoder: a tool to discover over-represented modular structures in networks,” BMC bioinformatics 19 (1), 318, Dec. 2019	Affiliate Access Only	machine learning	December 1, 2018
M Sadeghi, E Björnson, EG Larsson, C Yuen, T Marzetta, “Joint unicast and multi-group multicast transmission in massive MIMO systems,” IEEE Transactions on Wireless Communications 17 (10), 6375-6388, Oct. 2018.	Affiliate Access Only	machine learning	October 1, 2018
A Ashikhmin, L Li, TL Marzetta, “Interference reduction in multi-cell massive MIMO systems with large-scale fading precoding,” IEEE Transactions on Information Theory 64 (9), 6340-6361, Sept. 2018.	Affiliate Access Only	machine learning	September 1, 2018
EG Larsson, TL Marzetta, HQ Ngo, H Yang, “Antenna count for massive MIMO: 1.9 GHz vs. 60 GHz,” IEEE Communications Magazine 56 (9), 132-137, Sept. 2018.	Affiliate Access Only	machine learning	September 1, 2018
Yilin Song, Jonathan Viventi, and Yao Wang, “Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction,” Initial version: Nov. 2016, Last updated: July 2018.	Affiliate Access Only	5g and 6g apps, machine learning	July 1, 2018
Yilin Song, Yao Wang, and Jonathan Viventi, “Multi Resolution LSTM For Long Term Prediction In Neural Activity Video,” Initial version: May 2017, Last updated: July 2018.	Affiliate Access Only	5g and 6g apps, machine learning	July 1, 2018
A. Aparo, V. Bonnici, G. Micale, A. Ferro, D. Shasha, A. Pulvirenti, R. Giugno, S. Verlag, “Simple Pattern-only Heuristics Lead To Fast Subgraph Matching Strategies on Very Large Networks,” ISSN:2194-5357, Oral presentation at the 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB’18), Toledo (Spain) 20th-22nd June, 2018.	Affiliate Access Only	machine learning	June 20, 2018
TL Marzetta, “Spatially-stationary propagating random field model for massive MIMO small-scale fading,” 2018 IEEE International Symposium on Information Theory (ISIT), 391-395, June 2018.	Affiliate Access Only	machine learning	June 17, 2018
H Yang, TL Marzetta, “Energy Efficiency of Massive MIMO: Cell-Free vs. Cellular,” 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, June 2018.	Affiliate Access Only	machine learning	June 3, 2018
Shervin Minaee, Yao Wang, Alp Aygar, Sohae Chung, Xiuyuan Wang, Yvonne W. Lui, Els Fieremans, Steven Flanagan, Joseph Rath “MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features”, IEEE Transactions on Medical Imaging.	Affiliate Access Only	5g and 6g apps, machine learning	June 1, 2018
Guangyu Li, Yong Liu, and Bruno Ribeiro, “On Group Popularity Prediction in Event-Based Social Networks”, in the Proceedings of the International AAAI Conference on Web and Social Media (Poster), June 2018.	Affiliate Access Only	machine learning	June 1, 2018
F. Porto, J. Rittmeyer, E. Ogasawara, A. Krone-Martins, P. Valduriez, D. Shasha, “Point Pattern Search in Big Data,” Scientific and Statistic Database Management, June 2018, Bolzano-Bozen, Italy.	Affiliate Access Only	machine learning	June 1, 2018
K. Varala, A. Marshall-Colón, J. Cirrone, M. D. Brooks, A. V. Pasquino, S. Léran, S. Mittal, T. M. Rock, M. B. Edwards, G. J. Kim, S. Ruffel, W. R. McCombie, D. Shasha, G. M. Coruzzi, “Temporal transcriptional logic of dynamic regulatory networks underlying nitrogen signaling and use in plants,” PNAS May 16, 2018. 201721487; published ahead of print May 16, 2018.	Affiliate Access Only	machine learning	May 1, 2018
M Sadeghi, E Björnson, EG Larsson, C Yuen, TL Marzetta, “Mrt-Based Joint Unicast and Multigroup Multicast Transmission in Massive Mimo Systems,” 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, April 2018.	Affiliate Access Only	machine learning	April 15, 2018
E. Erkip, S. Panwar, S. Shahsavari, F. Fund, “Capturing Capacity and Profit Gains with Base Station Sharing in mmWave Cellular Networks” e-print in arXiv.org:1804.0985, Apr. 2018.	Affiliate Access Only	machine learning, terahertz	April 1, 2018
S. Shahsavari, A. Ashikhmin, E. Erkip, and T. L. Marzetta, “Coordinated multi-point massive MIMO cellular systems with sectorized antennas,” 52nd IEEE Asilomar Conference on Signals, Systems, and Computers, 2018.	Affiliate Access Only	machine learning, mobile edge	February 20, 2018
“Typicality Matching for Pairs of Correlated Graphs,” Information Theory (ISIT), 2018 IEEE International Symposium on. IEEE, Feb 3, 2018.	Affiliate Access Only	machine learning, Security	February 3, 2018
Y. Liu, Y. Liu, Y. Shen, K. Li, “Recommendation in a Changing World: Exploiting Temporal Dynamics in Ratings and Reviews”, in ACM Transactions on the Web, Volume 12 Issue 1, February 2018.	Affiliate Access Only	machine learning	February 1, 2018
M. Sadeghi, E. Björnson, E. G. Larsson, C. Yuen and T. L. Marzetta, “Max–Min Fair Transmit Precoding for Multi-Group Multicasting in Massive MIMO,” in IEEE Transactions on Wireless Communications, vol. 17, no. 2, pp. 1358-1373, Feb. 2018.	Affiliate Access Only	machine learning, MIMO	February 1, 2018
F. Shirani, G. Siddharth, E. Erkip, “Optimal Active Social Network De-anonymization Using Information Thresholds,” Information Theory (ISIT), 2018 IEEE International Symposium on. IEEE, Jan 19, 2018.	Affiliate Access Only	machine learning, Security	January 19, 2018
M. Heidari, F. Shirani, S. S. Pradhan, “Bounds on the Effective-length of Optimal Codes for Interference Channel with Feedback,” Information Theory (ISIT), 2018 IEEE International Symposium on. IEEE, Jan 16, 2018.	Affiliate Access Only	machine learning	January 16, 2018
Yuan Wang, Yao Wang, Yvonne W Lui, “Dynamic Causal Modelling with neuron firing model in generalized recurrent neural network framework,” ISMRM 2018.	Affiliate Access Only	5g and 6g apps, machine learning	January 1, 2018
Fanyi Duanmu, Xin Feng, Xiaoqing Zhu, Dan Tan, and Yao Wang, “A Multi-View Pedestrian Tracking Framework Based on Graph Matching,” IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, Florida, USA, 2018.	Affiliate Access Only	5g and 6g apps, machine learning	January 1, 2018
R. Wang, Y. Song, Y. Wang and J. Viventi, “Long-term prediction of μECOG signals with a spatio-temporal pyramid of adversarial convolutional networks,” 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 1313-1317. doi: 10.1109/ISBI.2018.8363813.	Affiliate Access Only	5g and 6g apps, machine learning	January 1, 2018
S. Krishna, D. Shasha, T. Wies, “Go with the flow: Compositional Abstractions for Concurrent Data Structures,” Principles of Programming Languages 2018. 37:1-37:31.	Affiliate Access Only	machine learning	January 1, 2018
O. Levchenko, D.E. Yagoubi, R. Akbarinia, F. Masseglia, D. Shasha, B. Kolev, “Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets,” CIKM 2018 demonstration.	Affiliate Access Only	machine learning	January 1, 2018
G. Michale, R. Giugno, A. Ferro, M. Mongiovi, D. Shasha, A. Pulvirenti, “Fast Analytical Methods for Finding Significant Labeled Graph Motifs,” Data Mining Knowledge Discovery 32(2): 504-531 (2018).	Affiliate Access Only	machine learning	January 1, 2018
D. Yagoubi, R. Akbarinia, B. Kolev, O. Levchenko, F. Masseglia, P. Valduriez, D. Shasha, “ParCorr: Efficient Parallel Methods to Identify Similar Time Series Pairs across Sliding Windows,” Data Mining and Knowledge Discovery, 2018.	Affiliate Access Only	machine learning	January 1, 2018
F. Shirani, S. S. Pradhan, “Lattices from Linear Codes and Fine Quantization: General Continuous Sources and Channels,” Information Theory (ISIT), 2018 IEEE International Symposium on. IEEE, 2018.	Affiliate Access Only	machine learning	January 1, 2018
Shervin Minaee, Yao Wang, Anna Choromanska, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W Lui, “A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI”, International Engineering in Medicine and Biology Conference (EMBC), IEEE, 2018.	Affiliate Access Only	5g and 6g apps, machine learning	January 1, 2018
Yilin Song, Yao Wang, and Johnathan Viventi, “Adversarial autoencoder analysis on human μECoG dataset“, Dec. 2017.	Affiliate Access Only	5g and 6g apps, machine learning	December 1, 2017
S. Wesemann and T. L. Marzetta, “Channel Training for Analog FDD Repeaters: Optimal Estimators and Cramér–Rao Bounds,” in IEEE Transactions on Signal Processing, vol. 65, no. 23, pp. 6158-6170, Dec.1, 1 2017.	Affiliate Access Only	machine learning	December 1, 2017
S Wesemann, TL Marzetta, “Channel Training for Analog FDD Repeaters: Optimal Estimators and Cramér–Rao Bounds,” IEEE Transactions on Signal Processing 65 (23), 6158-6170, Dec. 2017	Affiliate Access Only	machine learning	December 1, 2017
H Yang, TL Marzetta, “Max-Min SINR dependence on channel correlation in line-of-sight Massive MIMO,” GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, Dec. 2017	Affiliate Access Only	machine learning	December 1, 2017
F. Shirani, G. Siddharth, E. Erkip, “Seeded graph matching: Efficient algorithms and theoretical guarantees,” 2017 51st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov 28, 2017.	Affiliate Access Only	machine learning	November 28, 2017
TL Marzetta, EG Larsson, H Yang, HQ Ngo, “Fundamentals of massive MIMO,” Cambridge University Press, Nov. 2016	Affiliate Access Only	machine learning	November 17, 2017
Yilin Song, Chenge Li, Yao Wang “Pixel-wise object tracking“, Initial version: Nov. 2017, Last updated: July 2018.	Affiliate Access Only	5g and 6g apps, machine learning	November 1, 2017
H Yang, TL Marzetta, “Massive MIMO with max-min power control in line-of-sight propagation environment,” IEEE Transactions on Communications 65 (11), 4685-4693, Nov. 2017	Affiliate Access Only	machine learning	November 1, 2017
AAI Ibrahim, A Ashikhmin, TL Marzetta, DJ Love, “Cell-free massive MIMO systems utilizing multi-antenna access points,” 2017 51st Asilomar Conference on Signals, Systems, and Computers, 1517-1521, Oct. 2017	Affiliate Access Only	machine learning	October 29, 2017
F. Shirani, G. Siddharth, E. Erkip, “An information theoretic framework for active de-anonymization in social networks based on group memberships,” 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, Oct 11, 2017.	Affiliate Access Only	machine learning	October 11, 2017
Yuanyi Xue, Yao Wang, “A Novel Video Coding Framework using Self-adaptive Dictionary,” IEEE Transactions on Circuits and Systems for Video Technology, Oct. 2017.	Affiliate Access Only	5g and 6g apps, machine learning	October 1, 2017
S. Rangan, A. K. Fletcher, V. K. Goyal, E. Byrne and P. Schniter, “Hybrid Approximate Message Passing,” in IEEE Transactions on Signal Processing, vol. 65, no. 17, pp. 4577-4592, Sept. 1, 2017.	Affiliate Access Only	AMP, machine learning	September 1, 2017
M. A. Kocak, D. Ramirez, E. Erkip, D. Shasha, “SafePredict: A Meta-Algorithm for Machine Learning That Uses Refusals to Guarantee Correctness,” Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2017	Affiliate Access Only	machine learning	August 7, 2017
Rangan, Sundeep, Philip Schniter, and Alyson K. Fletcher, “Vector approximate message passing,” IEEE ISIT, July 2017.	Affiliate Access Only	machine learning, terahertz	July 1, 2017
E Nayebi, A Ashikhmin, TL Marzetta, H Yang, BD Rao, “Precoding and power optimization in cell-free massive MIMO systems,” IEEE Transactions on Wireless Communications 16 (7), 4445-4459, July 2017	Affiliate Access Only	machine learning	July 1, 2017
M. Zhang, M. Polese, M. Mezzavilla, S. Rangan, M. Zorzi “ns-3 Implementation of the 3GPP MIMO Channel Model for Frequency Spectrum above 6 GHz,” Workshop on ns-3, June 13 – 14, 2017, Porto, Portugal.	Affiliate Access Only	machine learning, terahertz, testbeds	June 7, 2017
M. Servajean, A. Joly, D. Shasha, J. Champ, E. Pacitti, “Crowdsourcing Thousands of Specialized Labels: a Bayesian active training approach,” in IEEE Transactions on Multimedia , Volume: 19, Issue: 6, June 2017, pp. 1376-1391.	Affiliate Access Only	machine learning	June 1, 2017
M. Borgerding; P. Schniter; S. Rangan, “AMP-Inspired Deep Networks for Sparse Linear Inverse Problems,” in IEEE Transactions on Signal Processing , vol. 65, no. 16, pp. 4293-4308.	Affiliate Access Only	machine learning, terahertz	May 25, 2017
S. Sun and T. S. Rappaport, “Millimeter Wave MIMO Channel Estimation Based on Adaptive Compressed Sensing,” 2017 IEEE International Conference on Communications Workshop (ICCW), May 2017.	Affiliate Access Only	machine learning, terahertz	May 23, 2017
A Adhikary, A Ashikhmin, TL Marzetta, “Uplink interference reduction in large-scale antenna systems,” IEEE Transactions on Communications 65 (5), 2194-2206, May 2017	Affiliate Access Only	machine learning	May 1, 2017
X. Yang, C. Liang, M. Zhao, H. Wang, H. Ding, Y. Liu, Y. Li, J. Zhang, “Collaborative Filtering Based Recommendation of Online Social Voting”, in IEEE Transactions On Computational Social Systems, Volume 4, Issue 1, Pages 1-13, March 2017.	Affiliate Access Only	machine learning	March 1, 2017
HQ Ngo, A Ashikhmin, H Yang, EG Larsson, TL Marzetta, “Cell-free massive MIMO versus small cells,” IEEE Transactions on Wireless Communications 16 (3), 1834-1850	Affiliate Access Only	machine learning	March 1, 2017
Fanyi Duanmu, Zhan Ma, Meng Xu, and Yao Wang, “An HEVC-Compliant Fast Screen Content Transcoding Framework Based on Mode Mapping”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.	Affiliate Access Only	5g and 6g apps, machine learning	January 1, 2017
Yuan Wang, Yao Wang, Yvonne W Lui, “Generalized Recurrent Neural Network accommodating Dynamic Causal Modelling for functional MRI analysis,” ISMRM, 2017.	Affiliate Access Only	5g and 6g apps, machine learning	January 1, 2017
Shervin Minaee, Yao Wang, “Palmprint Recognition Using Deep Scattering Convolutional Network,” IEEE International Symposium on Circuits and Systems, 2017.	Affiliate Access Only	5g and 6g apps, machine learning	January 1, 2017
Yilin Song, Yao Wang and Jonathan Viventi, “Unsupervised Learning of Spike Pattern for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic (μECoG) Data,” IEEE transactions on nanobioscience 16.6 (2017): 418-427.	Affiliate Access Only	machine learning	January 1, 2017
S Minaee, Wang Y, Chung S, Wang X, Fieremans E, Flanagan S, Rath J, Lui YW., “A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling”, ASFNR 12th Annual Meeting, 2017.	Affiliate Access Only	machine learning	January 1, 2017
S Minaee, Y Wang, “Text Extraction From Texture Images Using Masked Signal Decomposition”, Global Conference on Signal and Information Processing, IEEE, 2017.	Affiliate Access Only	machine learning	January 1, 2017
Fanyi Duanmu, Zhan Ma, Meng Xu and Yao Wang, HEVC-Compliant Screen Content Transcoding Based on Mode Mapping and Fast Termination, IEEE Visual Communications and Image Processing (VCIP), 2017.	Affiliate Access Only	5g and 6g apps, machine learning	January 1, 2017
S. Rangan, A. K. Fletcher, P. Schniter and U. S. Kamilov, “Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization,” in IEEE Transactions on Information Theory, vol. 63, no. 1, pp. 676-697, Jan. 2017.	Affiliate Access Only	AMP, machine learning	January 1, 2017
D Ying, H Yang, TL Marzetta, DJ Love, “Heterogeneous massive MIMO with small cells,” 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 1-5, May. 2016	Affiliate Access Only	machine learning	May 15, 2016
Fanyi Duanmu; Zhan Ma; Wei Wang; Meng Xu; Yao Wang, “A novel screen content fast transcoding framework based on statistical study and machine learning,” IEEE International Conference on Image Processing, 2016.	Affiliate Access Only	machine learning	January 1, 2016
Fanyi Duanmu, Zhan Ma, Yao Wang, “Fast Mode and Partition Decision Using Machine Learning for Intra-Frame Coding in HEVC Screen Content Coding Extension,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2016.	Affiliate Access Only	machine learning	January 1, 2016
E Nayebi, A Ashikhmin, TL Marzetta, H Yang, “Cell-free massive MIMO systems,” 2015 49th Asilomar Conference on Signals, Systems and Computers, 695-699, Nov. 2015	Affiliate Access Only	machine learning	November 8, 2015
HQ Ngo, EG Larsson, TL Marzetta, “Aspects of favorable propagation in massive MIMO,” 2014 22nd European Signal Processing Conference (EUSIPCO), 76-80, Sept. 2014	Affiliate Access Only	machine learning	September 1, 2015
HQ Ngo, A Ashikhmin, H Yang, EG Larsson, TL Marzetta, “Cell-free massive MIMO: Uniformly great service for everyone,” 2015 IEEE 16th international workshop on signal processing advances in wireless communications (SPAWC), June 2015	Affiliate Access Only	machine learning	June 28, 2015
H Yang, TL Marzetta, “On existence of power controls for massive MIMO,” 2015 IEEE International Symposium on Information Theory (ISIT), June 2015	Affiliate Access Only	machine learning	June 14, 2015
H Yang, TL Marzetta, “Energy efficient design of massive MIMO: How many antennas?,” 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1-5, May 2015	Affiliate Access Only	machine learning	May 11, 2015
H Yang, TL Marzetta, “Performance of pilot reuse in multi-cell massive MIMO,” 2015 IEEE international black sea conference on communications and networking (BlackSeaCom), May 2015	Affiliate Access Only	machine learning	May 1, 2015
TL Marzetta, “Massive MIMO: an introduction,” Bell Labs Technical Journal 20, 11-22, 2015	Affiliate Access Only	machine learning	April 9, 2015
E Björnson, EG Larsson, TL Marzetta, “Massive MIMO: Ten myths and one critical question,”	Affiliate Access Only	machine learning	March 23, 2015
H Yang, TL Marzetta, “Quantized beamforming in Massive MIMO,” 2015 49th Annual Conference on Information Sciences and Systems (CISS), 1-6, March 2015.	Affiliate Access Only	machine learning	March 18, 2015
Fanyi Duanmu, Zhan Ma, Yao Wang, “Fast CU Partition Decision Using Machine Learning for Screen Content Compression,” IEEE International Conference on Image Processing (ICIP), Québec, Canada, 2015.	Affiliate Access Only	machine learning	January 1, 2015
S. Sun, T. S. Rappaport, R. W. Heath, A. Nix, S. Rangan, “MIMO for millimeter-wave wireless communications: beamforming, spatial multiplexing, or both?” IEEE Communications Magazine, vol. 52, no. 12, pp. 110-121, December 2014.	Affiliate Access Only	machine learning, MIMO, mmwave rappaport, terahertz	November 26, 2014
Shervin Minaee, Yao Wang, Yvonne W Lui, “Prediction of Longterm Outcome of Neuropsychological Tests of MTBI Patients Using Imaging Features,” IEEE Signal Processing in Medicine and Biology Symposium, 2013.	Affiliate Access Only	machine learning	December 7, 2013
F Boccardi, RW Heath Jr, A Lozano, TL Marzetta, P Popovski, “Five disruptive technology directions for 5G,” arXiv preprint arXiv:1312.0229, Dec. 2013	Affiliate Access Only	machine learning	December 1, 2013
H Yang, TL Marzetta, “Total energy efficiency of cellular large scale antenna system multiple access mobile networks,” 2013 IEEE Online Conference on Green Communications (OnlineGreenComm), 27-32, Oct. 2013	Affiliate Access Only	machine learning	October 29, 2013
HQ Ngo, EG Larsson, TL Marzetta, “Massive MU-MIMO downlink TDD systems with linear precoding and downlink pilots,” 2013 51st Annual Allerton conference on communication, control, and …	Affiliate Access Only	machine learning	October 5, 2013
HQ Ngo, EG Larsson, TL Marzetta, “The multicell multiuser MIMO uplink with very large antenna arrays and a finite-dimensional channel,” IEEE Transactions on Communications 61 (6), 2350-2361, June 2013	Affiliate Access Only	machine learning	June 1, 2013
EG Larsson, O Edfors, F Tufvesson, TL Marzetta, “Massive MIMO for next generation wireless systems,” arXiv preprint arXiv:1304.6690, April 2013	Affiliate Access Only	machine learning	April 24, 2013
HQ Ngo, EG Larsson, TL Marzetta, “Energy and spectral efficiency of very large multiuser MIMO systems,” IEEE Transactions on Communications 61 (4), 1436-1449, April 2013	Affiliate Access Only	machine learning	April 1, 2013
H Yang, TL Marzetta, “Performance of conjugate and zero-forcing beamforming in large-scale antenna systems,” IEEE Journal on Selected Areas in Communications 31 (2), 172-179, Feb. 2013	Affiliate Access Only	machine learning	February 1, 2013
F Fernandes, A Ashikhmin, TL Marzetta, “Inter-cell interference in noncooperative TDD large scale antenna systems,” IEEE Journal on Selected Areas in Communications 31 (2), 192-201, Feb. 2013	Affiliate Access Only	machine learning	February 1, 2013
C Shepard, H Yu, N Anand, E Li, T Marzetta, R Yang, L Zhong, “Argos: Practical many-antenna base stations,” Proceedings of the 18th annual international conference on Mobile computing and networking	Affiliate Access Only	machine learning	August 22, 2012
A Ashikhmin, T Marzetta, “Pilot contamination precoding in multi-cell large scale antenna systems,” 2012 IEEE International Symposium on Information Theory Proceedings, July 2012	Affiliate Access Only	machine learning	July 1, 2012
F Rusek, D Persson, BK Lau, EG Larsson, TL Marzetta, O Edfors, “Scaling up MIMO: Opportunities and challenges with very large arrays,” arXiv preprint arXiv:1201.3210, Jan. 2012	Affiliate Access Only	machine learning	January 16, 2012
HQ Ngo, TL Marzetta, EG Larsson, “Analysis of the pilot contamination effect in very large multicell multiuser MIMO systems for physical channel models,” ICASSP, 3464-3467, May 2011	Affiliate Access Only	machine learning	May 22, 2011
TL Marzetta, “Noncooperative cellular wireless with unlimited numbers of base station antennas,” IEEE Transactions on Wireless Communications 9 (11), 3590	Affiliate Access Only	machine learning	November 1, 2010
“A random matrix-theoretic approach to handling singular covariance estimates,” IEEE Transactions on Information Theory 57 (9), 6256-6271, Oct. 2010	Affiliate Access Only	machine learning	October 4, 2010
J Jose, A Ashikhmin, TL Marzetta, S Vishwanath, “Pilot contamination and precoding in multi-cell TDD systems,” IEEE Transactions on Wireless Communications 10 (8), 2640-2651	Affiliate Access Only	machine learning	June 30, 2010
K Appaiah, A Ashikhmin, TL Marzetta, “Pilot contamination reduction in multi-user TDD systems,” 2010 IEEE International Conference on Communications, 1-5, May 2010	Affiliate Access Only	machine learning	May 23, 2010