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Beam Codebook Design for Joint Initial Access and Localization in mmWave Networks. 2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, pp. 919–924. https://doi.org/10.1109/IEEECONF56349.2022.10052101 Barneto, C. B., Riihonen, T., Liyanaarachchi, S. D., Heino, M., Gonzalez-Prelcic, N., & Valkama, M. (2022). Beamformer Design and Optimization for Joint Communication and Full-Duplex Sensing at mm-Waves. IEEE TRANSACTIONS ON COMMUNICATIONS, 70(12), 8298–8312. https://doi.org/10.1109/TCOMM.2022.3218623 Lopez-Valcarce, R., & Gonzalez-Prelcic, N. (2022). Hybrid Beamforming Designs for Frequency-Selective mmWave MIMO Systems With Per-RF Chain or Per-Antenna Power Constraints. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 21(8), 5770–5784. https://doi.org/10.1109/TWC.2022.3142959 Yuan, W., Liu, F., Masouros, C., Yuan, J., Ng, D. W. K., & Gonzalez-Prelcic, N. (2021). Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20(3), 1442–1456. https://doi.org/10.1109/TWC.2020.3033776 Alves, W., Correa, I., Gonzalez-Prelcic, N., & Klautau, A. (2021). Deep Transfer Learning for Site-Specific Channel Estimation in Low-Resolution mmWave MIMO. IEEE WIRELESS COMMUNICATIONS LETTERS, 10(7), 1424–1428. https://doi.org/10.1109/LWC.2021.3069199 Wang, Y., Myers, N. J., Gonzalez-Prelcic, N., & Heath, R. W., Jr. (2021). Site-Specific Online Compressive Beam Codebook Learning in mmWave Vehicular Communication. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20(5), 3122–3136. https://doi.org/10.1109/TWC.2020.3047547 Gonzalez-Prelcic, N., Xie, H., Palacios, J., & Shimizu, T. (2021). Wideband Channel Tracking and Hybrid Precoding for mmWave MIMO Systems. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20(4), 2161–2174. https://doi.org/10.1109/TWC.2020.3033514 Zheng, W., Ali, A., Gonzalez-Prelcic, N., Heath, R. W., Klautau, A., & Pari, E. M. (2020). 5G V2X communication at millimeter wave: Rate maps and use cases. IEEE Vehicular Technology Conference, 2020-May. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128612 Myers, N. J., Wang, Y., Gonzalez-Prelcic, N., & Heath, R. W. (2020). Deep Learning-Based Beam Alignment in Mmwave Vehicular Networks. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2020-May, 8569–8573. https://doi.org/10.1109/ICASSP40776.2020.9054075 Xie, H., & Gonzalez-Prelcic, N. (2020). Dictionary Learning for Channel Estimation in Hybrid Frequency-Selective mmWave MIMO Systems. IEEE Transactions on Wireless Communications, 19(11), 7407–7422. https://doi.org/10.1109/TWC.2020.3011126 Ali, A., Gonzalez-Prelcic, N., Heath, R. W., & Ghosh, A. (2020). Leveraging Sensing at the Infrastructure for mmWave Communication. IEEE COMMUNICATIONS MAGAZINE, 58(7), 84–89. https://doi.org/10.1109/MCOM.001.1900700 Ali, A., Gonzalez-Prelcic, N., & Ghosh, A. (2020). Passive Radar at the Roadside Unit to Configure Millimeter Wave Vehicle-to-Infrastructure Links. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 69(12), 14903–14917. https://doi.org/10.1109/TVT.2020.3027636 Park, S., Ali, A., Gonzalez-Prelcic, N., & Heath, R. W. (2020). Spatial Channel Covariance Estimation for Hybrid Architectures Based on Tensor Decompositions. IEEE Transactions on Wireless Communications, 19(2), 1084–1097. https://doi.org/10.1109/TWC.2019.2951135 Lopez-Valcarce, R., & Gonzalez-Prelcic, N. (2019). Analog beamforming for full-duplex millimeter wave communication. Proceedings of the International Symposium on Wireless Communication Systems, 2019-August, 687–691. https://doi.org/10.1109/ISWCS.2019.8877288 Ali, A., Gonzalez-Prelcic, N., & Ghosh, A. (2019). Automotive radar radiations as signals of opportunity for millimeter wave V2I links. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2019-November, 554–558. https://doi.org/10.1109/IEEECONF44664.2019.9048967 Lopez-Valcarce, R., & Gonzalez-Prelcic, N. (2019). Beamformer design for full-duplex amplify-and-forward millimeter wave relays. Proceedings of the International Symposium on Wireless Communication Systems, 2019-August, 86–90. https://doi.org/10.1109/ISWCS.2019.8877269 Rodriguez-Fernandez, J. J., & Gonzalez-Prelcic, N. (2019). Channel Estimation for Hybrid mmWave MIMO Systems With CFO Uncertainties. IEEE Transactions on Wireless Communications, 18(10), 4636–4652. https://doi.org/10.1109/TWC.2019.2924004 Klautau, A., Gonzalez-Prelcic, N., Mezghani, A., & Heath, R. W. (2019). Detection and Channel Equalization with Deep Learning for Low Resolution MIMO Systems. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2018-October, 1836–1840. https://doi.org/10.1109/ACSSC.2018.8645551 Frequency-selective Hybrid Precoding and Combining for Mmwave Mimo Systems with Per-antenna Power Constraints. (2019). ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May, 4794–4798. https://doi.org/10.1109/ICASSP.2019.8683831 Palacios, J., Rodriguez-Fernandez, J., & Gonzalez-Prelcic, N. (2019). Hybrid precoding and combining for full-duplex millimeter wave communication. 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. https://doi.org/10.1109/GLOBECOM38437.2019.9013484 Zheng, W., & Gonzalez-Prelcic, N. (2019). Joint Position, Orientation and Channel Estimation in Hybrid mmWAVE MIMO Systems. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2019-November, 1453–1458. https://doi.org/10.1109/IEEECONF44664.2019.9048769 Rodriguez-Fernandez, J., & Gonzalez-Prelcic, N. (2019). Joint Synchronization and Compressive Estimation for Frequency-Selective mmWave MIMO Systems. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2018-October, 1280–1286. https://doi.org/10.1109/ACSSC.2018.8645093 Klautau, A., Gonzalez-Prelcic, N., & Heath, R. W. (2019). LIDAR Data for Deep Learning-Based mmWave Beam-Selection. IEEE Wireless Communications Letters, 8(3), 909–912. https://doi.org/10.1109/LWC.2019.2899571 Boas, B. V., Fonseca, N., Klautau, A., & Gonzalez-Prelcic, N. (2019). Low Complexity Transform Coding for Millimeter Wave MIMO CSI Compression. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2018-October, 1582–1586. https://doi.org/10.1109/ACSSC.2018.8645142 Palacios, J., Gonzalez-Prelcic, N., & Widmer, J. (2019). Managing Hardware Impairments in Hybrid Millimeter Wave Mimo Systems: A Dictionary Learning-Based Approach. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2019-November, 168–172. https://doi.org/10.1109/IEEECONF44664.2019.9049078 Graff, A., Ali, A., & Gonzalez-Prelcic, N. (2019). Measuring radar and communication congruence at millimeter wave frequencies. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2019-November, 925–929. https://doi.org/10.1109/IEEECONF44664.2019.9048969 Ali, A., Gonzalez-Prelcic, N., & Ghosh, A. (2019). Millimeter wave V2I beam-training using base-station mounted radar. 2019 IEEE Radar Conference, RadarConf 2019. https://doi.org/10.1109/RADAR.2019.8835615 Venugopal, K., Gonzalez-Prelcic, N., & Heath, R. W. (2019). Optimal Frequency-Flat Precoding for Frequency-Selective Millimeter Wave Channels. IEEE Transactions on Wireless Communications, 18(11), 5098–5112. https://doi.org/10.1109/TWC.2019.2932932 Dias, M., Klautau, A., Gonzalez-Prelcic, N., & Heath, R. W. (2019). Position and LIDAR-Aided mmWave Beam Selection using Deep Learning. IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 2019-July. https://doi.org/10.1109/SPAWC.2019.8815569 Rodriguez-Fernandez, J., Gonzalez-Prelcic, N., Pamplona-Trindade, I., & Klautau, A. (2019). Position-Aided Compressive Channel Estimation and Tracking for Millimeter Wave Multi-User MIMO Air-to-Ground Communications. IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 2019-July. https://doi.org/10.1109/SPAWC.2019.8815594 Rodriguez-Fernandez, J., Gonzalez-Prelcic, N., & Shimizu, T. (2019). Position-Aided Compressive Channel Tracking for Wideband Millimeter Wave Multi-User Communication. IEEE International Conference on Communications, 2019-May. https://doi.org/10.1109/ICC.2019.8761967 Xia, P., Heath, R. W., & Prelcic, N. G. (2019). Robust analog precoding designs for millimeter wave MIMO transceivers. WSA 2016 - 20th International ITG Workshop on Smart Antennas, 8–15. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85073573477&partnerID=MN8TOARS Ali, A., Gonzalez-Prelcic, N., & Heath, R. W. (2019). Spatial Covariance Estimation for Millimeter Wave Hybrid Systems Using Out-of-Band Information. IEEE Transactions on Wireless Communications, 18(12), 5471–5485. https://doi.org/10.1109/TWC.2019.2932404 Park, S., Ali, A., Gonzalez-Prelcic, N., & Heath, R. W. (2019). 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(2018). 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, 2017-December, 1–5. https://doi.org/10.1109/CAMSAP.2017.8313157 Algorithms for the construction of incoherent frames under various design constraints. (2018). Signal Processing, 152, 363–372. https://doi.org/10.1016/j.sigpro.2018.06.015 Gonzalez-Coma, J. P., Rodriguez-Fernandez, J., Gonzalez-Prelcic, N., Castedo, L., & Heath, R. W. (2018). Channel Estimation and Hybrid Precoding for Frequency Selective Multiuser mmWave MIMO Systems. IEEE Journal of Selected Topics in Signal Processing, 12(2), 353–367. https://doi.org/10.1109/JSTSP.2018.2819130 Channel Estimation for Frequency-Selective mmWave MIMO Systems with Beam-Squint. (2018). 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. https://doi.org/10.1109/GLOCOM.2018.8647269 Channel estimation for millimeter wave MIMO systems in the presence of CFO uncertainties. (2018). 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(2017). 2016 Information Theory and Applications Workshop, ITA 2016. https://doi.org/10.1109/ITA.2016.7888146 Rodriguez-Fernandez, J., Gonzalez-Prelcic, N., Venugopal, K., & Heath, R. W. (2017). Exploiting Common Sparsity for Frequency-Domain Wideband Channel Estimation at mmWave. 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, 2018-January, 1–6. https://doi.org/10.1109/GLOCOM.2017.8254834 González-Coma, J. P., González-Prelcic, N., Castedo, L., & Heath, R. W. (2017). Frequency selective multiuser hybrid precoding for mmWave systems with imperfect channel knowledge. Conference Record - Asilomar Conference on Signals, Systems and Computers, 291–295. https://doi.org/10.1109/ACSSC.2016.7869044 González-Prelcic, N., Ali, A., Va, V., & Heath, R. W. (2017). Millimeter-Wave Communication with Out-of-Band Information. IEEE Communications Magazine, 55(12), 140–146. https://doi.org/10.1109/MCOM.2017.1700207 Venugopal, K., Gonzalez-Prelcic, N., & Heath, R. W. (2017). 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Compressive channel estimation in FDD multi-cell massive MIMO systems with arbitrary arrays. 2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings. https://doi.org/10.1109/GLOCOMW.2016.7848864 Designing Incoherent Frames Through Convex Techniques for Optimized Compressed Sensing. (2016). IEEE Transactions on Signal Processing, 64(9), 2334–2344. https://doi.org/10.1109/TSP.2016.2521607 Rusu, C., Gonzalez-Prelcic, N., & Heath, R. W. (2016). Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors. IEEE Transactions on Signal Processing, 64(24), 6589–6599. https://doi.org/10.1109/TSP.2016.2612168 Mendez-Rial, R., Rusu, C., Gonzalez-Prelcic, N., Alkhateeb, A., & Heath, R. W. (2016). Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches? IEEE Access, 4, 247–267. https://doi.org/10.1109/ACCESS.2015.2514261 Lopez-Valcarce, R., Gonzalez-Prelcic, N., Rusu, C., & Heath, R. W. (2016). 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IEEE Transactions on Communications, 64(11), 4622–4634. https://doi.org/10.1109/TCOMM.2016.2604312 Rusu, C., Gonzalez-Prelcic, N., & Heath, R. W. (2016). The use of unit norm tight measurement matrices for one-bit compressed sensing. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2016-May, 4044–4048. https://doi.org/10.1109/ICASSP.2016.7472437 Adaptive hybrid precoding and combining in MmWave multiuser MIMO systems based on compressed covariance estimation. (2015). 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, 213–216. https://doi.org/10.1109/CAMSAP.2015.7383774 Rusu, C., Mendez-Rial, R., Gonzalez-Prelcic, N., & Heath, R. W. (2015). Adaptive one-bit compressive sensing with application to low-precision receivers at mmWave. 2015 IEEE Global Communications Conference, GLOBECOM 2015. https://doi.org/10.1109/GLOCOM.2014.7417853 An attack on antenna subset modulation for millimeter wave communication. (2015). ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2015-August, 2914–2918. https://doi.org/10.1109/ICASSP.2015.7178504 Mendez-Rial, R., Gonzalez-Prelcic, N., & Heath, R. W. (2015). Augmented covariance estimation with a cyclic approach in DOA. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2015-August, 2784–2788. https://doi.org/10.1109/ICASSP.2015.7178478 Mendez-Rial, R., Rusu, C., Alkhateeb, A., Gonzalez-Prelcic, N., & Heath, R. W. (2015). Channel estimation and hybrid combining for mmWave: Phase shifters or switches? 2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings, 90–97. https://doi.org/10.1109/ITA.2015.7308971 Mo, J., Schniter, P., Prelcic, N. G., & Heath, R. W. (2015). Channel estimation in millimeter wave MIMO systems with one-bit quantization. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2015-April, 957–961. https://doi.org/10.1109/ACSSC.2014.7094595 Mendez-Rial, R., Rusu, C., Gonzalez-Prelcic, N., & Heath, R. W. (2015). Dictionary-free hybrid precoders and combiners for mmWave MIMO systems. IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 2015-August, 151–155. https://doi.org/10.1109/SPAWC.2015.7227018 Dommel, J., Boccolini, G., Raschkowski, L., Jaeckel, S., Thiele, L., Haustein, T., & Prelcic, N. G. (2014). 5G in space: PHY-Layer design for satellite communications using non-orthogonal multi-carrier transmission. 2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop, ASMS/SPSC 2014, 2014-January, 190–196. https://doi.org/10.1109/ASMS-SPSC.2014.6934543 González-Prelcic, N., & Domínguez-Jiménez, M. E. (2014). Circular sparse rulers based on co-prime sampling for compressive power spectrum estimation. 2014 IEEE Global Communications Conference, GLOBECOM 2014, 3044–3050. https://doi.org/10.1109/GLOCOM.2014.7037272 MIMO precoding and combining solutions for millimeter-wave systems. (2014). IEEE Communications Magazine, 52(12), 122–131. https://doi.org/10.1109/MCOM.2014.6979963 Tausiesakul, B., & Gonzalez-Prelcic, N. (2014). Power spectrum blind sampling using optimal multicoset sampling patterns in the MSE sense. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1055–1059. https://doi.org/10.1109/ICASSP.2014.6853758 Méndez-Rial, R., Caurel-Carrera, J. M., & González-Prelcic, N. (2014). Sensitivity of compressive sensing architectures based on time interleaved analog-to-digital converters to channel mismatches. 2014 IEEE 12th International New Circuits and Systems Conference, NEWCAS 2014, 45–48. https://doi.org/10.1109/NEWCAS.2014.6933981 Dominguez-Jimenez, M. E., & Gonzalez-Prelcic, N. (2013). A class of circular sparse rulers for compressive power spectrum estimation. European Signal Processing Conference. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84901365760&partnerID=MN8TOARS Power spectrum blind sampling using minimum mean square error and weighted least squares. (2013). Conference Record - Asilomar Conference on Signals, Systems and Computers, 153–157. https://doi.org/10.1109/ACSSC.2013.6810249 Domínguez-Jitnénez, M. 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