Sabeti, P. and Farhang, A. and Marchetti, N. and Doyle, L., Frequency synchronization for OFDM-Based Massive MIMO systems, IEEE Transactions on Signal Processing, 67, (11), 2019, p2973-2986 ,
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Basu, D. and Gupta, G.S. and Zhang, Y. and Nag, A. and Doyle, L., Experimental evaluation of SAPC-R: An adaptive power control protocol for mobile sensors, (8531046), 2018,
Notes: [cited By 0],
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Adonias, G.L. and Barros, M.T. and Doyle, L. and Balasubramaniam, S., Utilising EEG signals for modulating neural molecular communications, 2018,
Notes: [cited By 0],
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P. Sabeti, A. Farhang, N. Marchetti, L. Doyle, CFO Estimation for OFDM-based Massive MIMO Systems in Asymptotic Regime, IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018,
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Kremo, H. and Farrell, T. and Tallon, J. and McDonald, D. and Doyle, L., A method to enhance ranging resolution for localization of LoRa Sensors, 2017-October, 2018, pp1-6 ,
Notes: [cited By 0],
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Di Pascale, E. and Macaluso, I. and Nag, A. and Kelly, M. and Doyle, L., The Network as a Computer: a Framework for Distributed Computing over IoT Mesh Networks, IEEE Internet of Things Journal, 2018,
Notes: [cited By 0; Article in Press],
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Shayanfar, H. and Saeedi-Sourck, H. and Farhang, A. and Doyle, L.E., Maximum-likelihood synchronization and channel estimation with multiuser detection in GFDMA, Transactions on Emerging Telecommunications Technologies, 29, (6), 2018, pe3424-,
Notes: [cited By 0],
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A. Delmade, C. Browning, A. Farhang, N. Marchetti, L. Doyle, D. Koilpillai, L. Barry, D. Venkitesh, Performance Analysis of Analog IF over Fiber Fronthaul link with 4G & 5G Co-existence, IEEE/OSA Journal of Optical Communications and Networking, 10, 2018, p174-182 ,
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Ahmadi H, Macaluso I, Gomez I, Dasilva L, Doyle L, Virtualization of spatial streams for enhanced spectrum sharing, 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, 2017, 2017,
Notes: [Export Date: 3 April 2017],
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A. Selim, F. Paisana, J. A. Arokkiam, Y. Zhang, L. E. Doyle, and L. A. DaSilva, Spectrum Monitoring for Radar Bands Using Deep Convolutional Neural Networks, IEEE Globecom, Singapore, 4-8 December 2017, 2017,
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