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`EXHIBIT A
`EXHIBIT A
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`Danijela Cabric
`
`Contact Information
`
`56-147C Engineering IV,
`420 Westwood Plaza, UCLA
`Los Angeles, CA 90095
`
`Voice: 310-206-8856 (Office), 510-220-5676 (Mobile)
`Email: danijela@ee.ucla.edu
`Web: http://cores.ee.ucla.edu
`
`Education
`
`University of California, Berkeley, Berkeley, CA
`Ph.D., Electrical Engineering, 2007
`Advisor: Robert W. Brodersen
`Thesis Title: “Cognitive Radios: System Design Perspective”
`
`University of California, Los Angeles, Los Angeles, CA
`M.S., Electrical Engineering, 2001
`Advisor: Babak Daneshrad
`Thesis Title: “Characterization of a Fast Frequency-Hopped FSK Testbed through Simulations and Field
`Trials”
`
`University of Belgrade, Belgrade, Serbia
`B.S., Electrical Engineering, 1998
`Thesis Title: “Mapping of Blood Vessel Boundaries using MRI Velocity Images”(the thesis research was
`performed at Biological Imaging Center, Department of Computer Science, Caltech, Pasadena)
`
`Research Interests
`
`Wireless communications system design; Cognitive radios and dynamic spectrum access; Spectrum shar-
`ing and spectrum sensing technologies; Machine learning for communications; 5G technologies for mil-
`limeter wave communications (mmWave) and Internet of Things (IoT); VLSI architectures of signal
`processing and digital communication algorithms; Co-design of radio architectures and signal process-
`ing algorithms; RF impairment corrections and compensations using DSP; Performance analysis and
`experiments on embedded system platforms;
`
`July 2018 - present
`
`July 2014 - June 2018
`
`Career History
`• University of California, Los Angeles, CA, USA
`Professor, Department of Electrical Engineering
`• University of California, Los Angeles, CA, USA
`Associate Professor, Department of Electrical Engineering
`• University of California, Los Angeles, CA, USA
`Assistant Professor, Department of Electrical Engineering
`• University of California, Berkeley, CA USA
`August 2001 - December 2007
`Graduate Student Researcher
`System design of cognitive radio spectrum sharing technology from the physical and network layer
`perspective including theoretical analysis, algorithms, and implementation.
`• Intel Corporation, Santa Clara, CA, USA
`Summer Intern, Communications Technology Lab
`
`January 2008 - June 2014
`
`May 2004- August 2004
`
`

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`Danijela Cabric - Curriculum Vitae
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`2
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`Development of cognitive radio spectrum sensing for detection of idle channels in TV bands.
`• InnovICs Wireless Corporation, Los Angeles, CA USA
`January 2001 - August 2001
`Senior Systems Design Engineer
`System design of a WCDMA mobile transceiver featuring dual-antenna signal processing.
`• University of California, Los Angeles, CA, USA
`April 1999 - June 2001
`Graduate Student Researcher
`Modeling, analysis, system design and experiments for a wireless fast-frequency-hopped FSK testbed.
`
`Selected Honors and Awards
`• IEEE Fellow, 2021.
`• Qualcomm Faculty Award, 2020 and 2021.
`• Best Paper Award at 4th ACM Workshop on Millimeter-Wave Networks and Sensing Systems
`(mmNets), 2020.
`• Best Paper Award at IEEE International Conference on Communications, Networking and Com-
`puting (ICNC), 2019.
`• IEEE ComSoc Distinguished Lecturer, 2018-2020.
`• NSF CAREER Award, 2012.
`• Hellman Fellowship 2012, a campus wide program established to support promising assistant pro-
`fessors, University of California, Los Angeles.
`• Okawa Foundation Research Grant 2009, one of six nation-wide recipients.
`• Samueli Fellow 2008, University of California, Los Angeles.
`• CalVIEW Award for excellence in distance education, University of California, Berkeley, 2005.
`• Graduate Division Fellowship, University of California, Berkeley 2001-2002.
`• Graduate Division Fellowship, University of California, Los Angeles 2000-2001.
`• Summer Undergraduate Research Fellowship, Caltech, Pasadena 1998.
`
`Teaching Experience
`• Undergraduate courses at UCLA: Instructor for Signals and Systems (EE102), Digital Signal Process-
`ing (EE113), Logic Design for Digital Systems (M16), Circuit Analysis I (EE10), Digital Electronic
`Circuits (EE115C).
`• Graduate courses at UCLA: Developed a new course ”Special Topics in Circuits and Embedded Sys-
`tems: Wireless Communications System Design (EE209AS)”, also offered in UCLA MS online program.
`Instructor for Estimation and Detection (EE230A), Digital Communications (EE230B), Wireless Com-
`munications System Design, Modeling and Implementation (EE233).
`• Undergraduate courses at UC Berkeley: Probability and Random Processes (EECS 126).
`• Graduate courses at UC Berkeley: Course consultant for VLSI Signal Processing (EECS 225C).
`
`Consulting Experience
`• Consultant for Intellectual Ventures, Seattle, WA, 2008-2010.
`• Consultant for Specom, Inc., San Diego, CA, 2014-2016.
`• Board of Advisors, MaxLinear, Inc., Carlsbad, CA 2017-2021.
`• Consultant for LocatorX, Atlanta, GA, December 2018-December 2021.
`• Consultant for Perceptronics Solutions, Los Angeles, CA, April 2020-present.
`
`

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`Danijela Cabric - Curriculum Vitae
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`• Consultant for Project Kuiper, Amazon, Inc. July 2020-December 2023.
`• Technical Expert (Prior art and invalidity), Baker Botts LLP, June 2021-September 2021.
`• Testifying Expert (Infringment), Susman Godfrey, December 2021-present.
`• Board of Advisors, Delart, June 2021-present.
`
`Professional Service
`• Senior Editor for IEEE Journal on Selected Areas in Communications (JSAC), Sept. 2022-present.
`• Special session Chair, IEEE International Workshop on Signal Processing Advances in Wireless Com-
`munications (SPAWC), Oulu, Finland, July 4-6, 2022.
`• General Co-Chair, IEEE 2021 IEEE International Symposium on Dynamic Spectrum Access Networks
`(DySPAN), Los Angeles, CA, Dec. 2021.
`• General Co-Chair, IEEE 2019 Vehicular Networking Conference (VNC), Los Angeles, CA, Dec 2019.
`• Special session organizer, ”Beam-forming and beam-tracking in MIMO systems”, at Asilomar Confer-
`ence on Signals, Systems, and Computers, 2019.
`• Symposium Chair ”Machine Learning for Communications”, IEEE International Conference on Net-
`working and Communications, (ICNC 2019)
`• Technical Committee Member for Signal Processing for Communications and Networking (SPCOM)
`January 2019-present.
`• Associate Editor for IEEE Signal Processing Magazine, August 2018-present.
`• Associate Editor for IEEE Transactions on IEEE Transactions on Signal and Information Processing
`over Networks, November 2018-present.
`• Associate Editor for IEEE Transactions on Mobile Computing, June 2018-present.
`• Associate Editor for IEEE Transactions on Wireless Communications, June 2018-present.
`• Guest Editor for EURASIP Journal on Wireless Communications and Networking, special issue on
`”Dynamic Spectrum Access and Cognitive techniques for 5G”, November 2017.
`• Co-Chair, Modelling and Theory Track, 11th International ICST Conference on Cognitive Radio Ori-
`ented Wireless Networks and Communications (CROWNCOM 2016)
`• Associate Editor for IEEE Transactions on Cognitive Communications and Networking, January 2015-
`present.
`• Editor for MONET special issue on CROWNCOM 2013.
`• Associate Editor for IEEE Communication Letters, January 2013-January 2014.
`• Associate Editor for IEEE Journal of Selected Areas in Communications (JSAC) - Cognitive Radio
`series, June 2011-December 2014.
`• Guest Editor for EURASIP Journal on Wireless Communications and Networking, special issue on
`”Dynamic Spectrum Access: From the Concept to the Implementation”, April 2010.
`• TPC Chair of the 8th International ICST Conference on Cognitive Radio Oriented Wireless Networks
`and Communications (CROWNCOM 2013), premier conference in cognitive radio networks area.
`• Co-chair, ACM Workshop on Cognitive Radio (CoRoNet), ACM MobiCom, September 2011.
`• Special Session Organizer ”Spectrum Sensing for Cognitive Radios”, IEEE CAMSAP 2013.
`• Publications Co-Chair and Organizing Committee member at IEEE DySPAN, 2007.
`• Technical program committee member: ICC (2008-2013), Globecom (2009-2013), DySPAN (2005-
`2011), Crowncom(2012-2013, 2016-present), VTC (2012), PIMRC (2011-2012), GlobalSIP (2017-
`present).
`• Proposal reviewer/panelist for NSF (CNS/NeTS, CNS/EARS, CNS/WiFiUS, ECCS/CCSS), UC Dis-
`covery, Qatar National Research Fund QNRF, European Commission (H2020), Singapore Ministry of
`
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`Danijela Cabric - Curriculum Vitae
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`Education.
`
`Department Service
`• ECE Department Vice Chair of Undergraduate Affairs, July 2022-present.
`• Fast Track Program Director, July 2021-June 2022.
`• Fast Track Program Faculty advisor, September 2019-present.
`• Staff recruitment, promotions and welfare committee, June 2017-present.
`• EE Department Area Director for Circuits and Embedded Systems, June 2015-June 2018.
`• Awards committee for Best Ph.D. and MS theses, Best TA awards, Dissertation Year Fellowships,
`June 2015-June 2018.
`• Adhoc committee for merit increases and adjunct faculty appointments,(three cases, Winter 2017).
`• Recruitment committee, June 2015-June 2018.
`• Courses and Curriculum committee, June 2015-June 2018.
`• Co-Chair, Annual Research Review, EE Department, 2013-2015.
`• Graduate Admissions Committee Member, 2008-2011.
`• Organizer of EE Department Seminar Series, Winter 2009 and Fall 2012.
`• Member of EE Undergraduate curriculum revision committee for design courses and computer engi-
`neering pathway, 2009.
`
`University Service
`• Samueli Undergraduate Admissions Team, UCLA Engineering, 2021-present.
`• Faculty Executive Committee, UCLA Engineering, 2019-2022.
`• 2019 Opus/Interfolio user group review committee.
`• 2017 UCRI Lab Fees Fellowship Review Panel, October 2017.
`• Hellman Fellowship Selection Committee, Spring 2017, Spring 2018.
`• HSSEAS Strategic Hiring Committee for Future Internet, Networking, and Cybersecurity, January
`2017-June 2018.
`• HSSEAS Strategic Planning Committee for Future Internet, Networking, and Cybersecurity, Summer
`2016.
`• HSSEAS Courses Evaluations and Petitions Reviewer for Associate Dean of Academic and Student
`Affairs (Prof. Wesel), June 2015-present.
`• UCLA Tech Forum Organization Committee, 2015.
`• UCLA Extension Advisory Board Member, 2013-2015.
`
`Funding
`• PI, NSF, “FuSe-TG: Electronic-Photonic Systems-on-Chip for Computation, Communication and
`Sensing,” $400K, 2023-2024.
`• PI, NSF, “NSF-AoF: CNS Core: Small: Machine Learning Based Physical Layer and Mobility Man-
`agement Solutions Towards 6G,” $392K, 2022-2025.
`• PI, DARPA/Raytheon, “Tensors for Reprogrammable Intelligent Array Demonstrations (TRIAD)”,
`$400K, 2021-2022.
`• PI, NSF, “Spectrum Innovation Initiative Center: SpectrumX,” $520K, 2021-2025.
`• PI, Toyota, Research gift, $75K, 2021.
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`Danijela Cabric - Curriculum Vitae
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`• PI, Qualcomm Faculty Award, $75K, 2021.
`• PI, Toyota, Research gift, $50K, 2020.
`• PI, Qualcomm Faculty Award, $75K, 2020.
`• PI, NSF. “Collaborative Research: CNS core: Medium: True-Time-Delay based MIMO System and
`Testbed for Low-Latency Wideband Beam and Interference Management in Millimeter Wave Net-
`works”, $550K, 2020-2024.
`• PI, NSF. “SII Planning Grant: National Center for Radio Spectrum Innovations (NCRSI)”, $300K,
`2020-2021.
`• PI, Toyota, Research gift, $50K, 2019.
`• PI, Toyota, Research gift, $50K, 2018.
`• PI, NSF/ENG,“Circuits and Systems Design for UAV Swarm Enabled Communications”, $450K,
`2019-2022.
`• Co-PI, DARPA, “DRBE: Hardware Acceleration at Wafer Scale”, $700K (Total $8.8M) 2020-2013.
`• PI, SRC/JUMP, CONIX research center, “Enhancing Communications and Sensing Capabilities of
`Network Infrastructure for Pervasive Perception, Cognition and Action with Distributed mmWave/THz
`Arrays”, $1.6M, 2018-2022.
`• PI, NSF/CNS,“ NeTS: Small: Coordinated Beam Discovery, Association, and Handover in Ultra-dense
`Millimeter Wave (mmW) Cellular Networks”, $500K, 2017-2020.
`• PI, Utopia Compression, research gift, $25K, 2017.
`• PI, NSF/CNS,“ Dynamic Spectrum Access by Learning Primary Network Topology”, $200K, 2015-
`2018.
`• Co-PI, NSF/EARS,“Enabling Algorithms, Signal Processing, and Circuits for Agile Cognitive Radio
`in CMOS Technology”, $400K (Total $1.2M), 2013-2017.
`• Co-PI, IARPA/Smart Collection,“Reliable Inference with Missing, Masked, Malfunctioning or Mali-
`cious Sensors (RIM4S)”, $125K (Total $500K), 2012-2013.
`• PI, Hellman Fellowship,“Improving Security in Wireless Networks through Spectrum Sensing”, $20K,
`2012-2013.
`• PI, DOT/Caltrans,“DSRC for Workzones and Major Incident Management”, $178K, 2012-2015.
`• PI, NSF/CAREER,“Cognitive Co-Existence In Heterogeneous Wireless Networks”, $420K, 2012-2017.
`• Co-PI, DARPA/MTO,“A/D-CLASIC: Analog-FFT based Cognitive Radio Sensor ICs”, $1M (Total
`$5.9M), 2011-2017.
`• PI, NSF/CNS,“Spatio-Temporal Spectrum Sensing”, $250K, 2011-2015.
`• PI, Okawa Foundation Research Grant, $10K, 2009-2010.
`• Co-PI, DARPA/MTO,“HEALICS: Self-Healing Baseband Processor for Cognitive Radios”, $600K
`(Total $4.2M), 2009-2014.
`• PI, DOT/Caltrans,“DSRC Standards Testing: 5MHz Band-Plan Architecture and Communication in
`Emergency Scenarios”, $191K, 2008-2011.
`• PI, Cisco,“Collaborative, Spatially Aware Spectrum Sensing for Security and Network Management”,
`$30K (Total $60K), 2009-2010.
`
`Publications
`
`Books and Book Chapters
`
`[1] G.Hattab, D. Cabric, “Spectrum Sensing, Measurement, and Modeling”, Handbook of Cognitive
`Radio, Springer Press, 2017.
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`Danijela Cabric - Curriculum Vitae
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`[2] P. Pawelczak, J. Park, P. Gronsund, D. Cabric, “System Level Analysis of OFDMA-based Networks
`in TV White Spaces: IEEE 802.22 Case Study”, TV White Space for Wireless Broadband: Concepts,
`Techniques and Applications, CRC Press, 2012.
`
`[3] D. Cabric, D. Taubenheim, G. Cafaro, R. Farrell, “Cognitive Radio Platforms and Test-beds”,
`Cognitive Radio Communications and Networks: Principles and Practice, edited by A. Wyglinski,
`M. Nekovee, and Y. T. Hou, Elsevier Inc., 2009.
`
`[4] D. Cabric, R.W. Brodersen, “Robust Spectrum Sensing Techniques for Cognitive Radio Networks”,
`Towards Cognitive and Cooperative Wireless Networking: Techniques, Methodologies and Prospects,
`Springer Press, 2007.
`
`[5] D. Cabric, R.W. Brodersen, “Cognitive Radio Spectrum Sharing Technology”, Emerging Wireless
`Technologies: Circuits, Systems, and Devices, CRC Press, 2007.
`
`Journal Publications
`
`[1] Enes Krijestorac, Ruifu Li, Danijela Cabric, James McGraw, Patrick Powers, Jacquelyn Vitaz,
`Michael Salpukas, Dylan Eustice, Tyler Allen, ”Machine Learning Assisted Computationally Effi-
`cient Target Detection and Tracking in Massive Fully Digital Phased Arrays”, IEEE Transactions
`on Radar Systems, Aug. 2023.
`
`[2] V. Boljanovic, D. Cabric ”Millimeter-Wave Wideband Channel Estimation Using Analog True-
`Time-Delay Array Under Hardware Impairments”, in Journal of Signal Processing Systems, Oct.
`2022.
`
`[3] S. Hanna, E. Krijestorac and D. Cabric, ”Destination-Feedback Free Distributed Transmit Beam-
`forming Using Guided Directionality,” in IEEE Transactions on Mobile Computing, July 2022.
`
`[4] E. Krijestorac, G. Hattab, P. Popovski and D. Cabric, ”Multiband Massive IoT: A Learning Ap-
`proach to Infrastructure Deployment,” in IEEE Transactions on Wireless Communications, June
`2022.
`
`[5] C. -C. Lin et al., ”Multi-Mode Spatial Signal Processor With Rainbow-Like Fast Beam Training
`and Wideband Communications Using True-Time-Delay Arrays,” in IEEE Journal of Solid-State
`Circuits, June 2022.
`
`[6] Q. Xu et al., ”A Switching-less True-time-delay based Beam Probing Approach for Ultra-Low
`Latency Wireless Communications: System Analysis and Demonstration,” in IEEE Transactions
`on Circuits and Systems II: Express Briefs, May 2022.
`
`[7] v. Boljanovic, and D. Cabric. ”Millimeter-Wave Wideband Channel Estimation Using Analog True-
`Time-Delay Array Under Hardware Impairments”, Springer Journal of Signal Processing Systems,
`May 2022.
`
`[8] S. Hanna, S. Karunaratne and D. Cabric, ”WiSig: A Large-Scale WiFi Signal Dataset for Receiver
`and Channel Agnostic RF Fingerprinting,” in IEEE Access, vol. 10, pp. 22808-22818, Feb. 2022.
`
`[9] R. Li, H. Yan and D. Cabric, ”Rainbow-Link: Beam-Alignment-Free and Grant-Free mmW Multiple
`Access Using True-Time-Delay Array,” in IEEE Journal on Selected Areas in Communications, vol.
`40, no. 5, pp. 1692-1705, Jan. 2022.
`
`[10] S. Hanna, C. Dick and D. Cabric, ”Signal Processing-Based Deep Learning for Blind Symbol De-
`coding and Modulation Classification,” in IEEE Journal on Selected Areas in Communications, vol.
`40, no. 1, pp. 82-96, Jan. 2022.
`
`[11] S. Hanna, E. Krijestorac and D. Cabric,“UAV Swarm Position Optimization for High Capacity
`MIMO Backhaul,” in IEEE Journal on Selected Areas in Communications, vol. 39, no. 10, pp.
`3006-3021, Oct. 2021.
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`[12] V. Boljanovic, H. Yan, C-C. Lin, S. Mohapatra, D. Heo, S. Gupta, and D. Cabric, “Fast Beam
`Training With True-Time-Delay Arrays in Wideband Millimeter-Wave Systems,” in IEEE Trans-
`actions on Circuits and Systems I: Regular Papers, vol. 68, no. 4, pp. 1727-1739, April 2021.
`
`[13] S. Hanna, S. Karunaratne and D. Cabric, ”Open Set Wireless Transmitter Authorization: Deep
`Learning Approaches and Dataset Considerations,” in IEEE Transactions on Cognitive Communi-
`cations and Networking, vol. 7, no. 1, pp. 59-72, March 2021.
`
`[14] G. Hattab, P. Popovski, and D. Cabric, “Spectrum Sharing for Massive Access in Ultra-Narrowband
`IoT Systems”, in IEEE Journal on Selected Areas in Communications, July. 2020.
`
`[15] G. Hattab and D. Cabric, “Energy-Efficient Massive IoT Shared Spectrum Access over UAV-enabled
`Cellular Networks”, in IEEE Transactions on Communications, May 2020.
`
`[16] A. Karimi, A. Taherpour, and D. Cabric, “Smart Traffic-Aware Primary User Emulation Attack
`and its Impact on Secondary User Throughput Under Rayleigh Flat Fading Channel,” in IEEE
`Transactions on Information Forensics and Security, Mar. 2020.
`
`[17] H. Yan, and D. Cabric, “Compressive Initial Access and Beamforming Training for Millimeter-Wave
`Cellular Systems,” in IEEE Journal of Selected Topics in Signal Processing, July 2019.
`
`[18] N. Mousavi, Z. Wang, D. Cabric and R. Harjani, “A 0.4-1.0GHz, 47MHops/S Frequency Hopped
`TXR Front-End With 20dB In-Band Blocker Rejection”, in IEEE Journal of Solid-State Circuits,
`July 2019.
`
`[19] G. Hattab and D. Cabric, “Distributed Wideband Sensing-based Architecture for Unlicensed Mas-
`sive IoT Communications,” in IEEE Trans. on Cognitive Commun. and Networking, April 2019.
`
`[20] S. Chaudhari and D. Cabric, “Power Control and Frequency Band Selection Policies for Underlay
`MIMO Cognitive Radio,” in IEEE Trans. on Cognitive Commun. and Networking, Jan 2019.
`
`[21] G. Hattab and D. Cabric, “Coverage and Rate Maximization via User Association in Multi-antenna
`HetNets,” in IEEE Trans. on Wireless Communications, vol. 17, no. 11, pp. 7441-7455, Nov. 2018.
`
`[22] F. Panahi, F. Panahi, G. Hattab, T. Ohtsuki, and D. Cabric, “Green Heterogeneous Networks via
`an Intelligent Sleep/Wake-up Mechanism and D2D Communications”, in IEEE Transactions on
`Green Communications and Networking, May 2018.
`
`[23] S. Chaudhari and D. Cabric, “QoS Aware Power Allocation and User Selection in Massive MIMO
`Underlay Cognitive Radio Networks”, in IEEE Transactions on Cognitive Communications and
`Networking , Jan. 2018.
`
`[24] M. Laghate and D. Cabric, “Learning Wireless Networks’ Topologies Using Asymmetric Granger
`Causality,” in IEEE Journal of Selected Topics in Signal Processing, Feb. 2018.
`
`[25] G. Hattab and D. Cabric, “Rate-based Cell Range Expansion for Downlink Massive MIMO Het-
`erogeneous Networks”, in IEEE Wireless Commun. Letters, Nov. 2017.
`
`[26] M. Laghate, P. Urriza, and D. Cabric, “Channel Access Method Classification For Cognitive Radio
`Applications”, in IEEE Wireless Communications Letters, Sept. 2017.
`
`[27] Jingwen Zhang, Danijela Cabric, Fanggang Wang, and Zhangdui Zhong, “Cooperative Modulation
`Classification for Multipath Fading Channels via Expectation-Maximization”, in IEEE Trans. on
`Wireless Commun., July 2017.
`
`[28] M. Laghate and D. Cabric, “Cooperatively Learning Footprints of Multiple Incumbent Transmitters
`by Using Cognitive Radio Networks”, in IEEE Transactions on Cognitive Communications and
`Networking, May 2017.
`
`[29] Chun-Hao Liu, Arash Azarfar, Jean-Francois Frigon, Brunilde Sanso, and Danijela Cabric, “Robust
`Cooperative Spectrum Sensing Scheduling Optimization in Multi-Channel Dynamic Spectrum Ac-
`cess Networks”, IEEE Transactions on Mobile Computing, vol. 15, no. 8, pp.2094 - 2108, August
`2016.
`
`[30] A. Razavi, M. Valkama, D. Cabric, “Compressive Detection of Random Subspace Signals”, IEEE
`Transactions on Signal Processing, vol. 64, no. 16, pp.4166-4179, August 2016.
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`[31] S. Chaudhari and D. Cabric, “Cyclic Weighted Centroid Algorithm for Primary User Localization
`in the Presence of Interference”, IEEE Transactions on Cognitive Communications and Networking,
`vol. 2, no. 5, pp.162-177, June 2016.
`
`[32] J. Werner, J. Wang, A. Hakkarainen, M. Valkama, and D. Cabric, “Performance and Cramer-Rao
`Bounds for DoA/RSS Estimation and Transmitter Localization Using Sectorized Antennas”, IEEE
`Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3255-3270, May 2016.
`
`[33] M. Laghate and D. Cabric, “Cooperative Spectrum Sensing in the Presence of Correlated and
`Malicious Cognitive Radios”, IEEE Transactions on Communications, vol. 63, no. 12, pp. 4666-
`4681, Dec. 2015.
`
`[34] J. Werner, J. Wang, A. Hakkarainen, N. Gulati, D. Patron, D. Pfeil, K. Dandekar, M. Valkama, and
`D. Cabric, “Sectorized Antenna-based DoA Estimation and Localization: Advanced Algorithms and
`Measurements”, IEEE Journal on Selected Areas in Communications, vol.33, no.11, pp. 2272-2286,
`Nov. 2015.
`
`[35] Chun-Hao Liu and Danijela Cabric, “Prediction of Erlang-2 Distributed Primary User Traffic for
`Dynamic Spectrum Access”, IEEE Wireless Communications Letters, vol.4, pp.481-484, October
`2015.
`
`[36] A. Razavi, M. Valkama, and D. Cabric, “Covariance-Based OFDM Spectrum Sensing with Sub-
`Nyquist Samples Signal Processing”, Elsevier Signal Processing, vol.109, pp.261-268, April 2015.
`
`[37] J. Wang, J. Chen, Y. Lu, M. Gerla, and D. Cabric, “Robust Power Control under Location and
`Channel Uncertainty in Cognitive Radio Networks”, IEEE Wireless Communications Letters, vol.4,
`no.2, pp.2094-2108, April 2015.
`
`[38] E. Rebeiz, A. Shahed, M. Valkama, D. Cabric, “Spectrum Sensing under RF Non-Linearities: The-
`oretical Analysis and Compensation Algorithm”, IEEE Transactions on Signal Processing, vol.63,
`no.8, pp.1950-1964, February 2015.
`
`[39] Jae-Han Lim, Wooseong Kim, Katsuhiro Naito, Ji-Hoon Yun, Danijela Cabric,Mario Gerla, “Inter-
`play Between TVWS and DSRC: Optimal Strategy for Safety Message Dissemination in VANET”,
`IEEE Journal on Selected Areas in Communications: Cognitive Radio Series, vol.32, no.11, pp.2237-
`2251, November 2014.
`
`[40] C.-H. Liu, P. Pawelczak, and D. Cabric, “Primary User Traffic Classification in Dynamic Spectrum
`Access Networks”, IEEE Journal on Selected Areas in Communications, vol.32, no.11, pp.2237-
`2251, November 2014.
`
`[41] X. Cheng and D. Cabric, “Editorial for Crowncom 2013 Special Issue”, Mobile Networks and
`Applications, vol.19, no.4, pp.449-450, August 2014.
`
`[42] J. Wang, J. Werner, M. Valkama, and D. Cabric, “Performance Analysis of Primary User RSS/DoA
`Estimation and Localization Algorithms in Cognitive Radio Networks Using Sectorized Antennas”,
`IEEE Wireless Communications Letters, vol.3, no.2, pp.237-240, April 2014.
`
`[43] E. Rebeiz, F.-L. Yuan, P. Urriza, D. Markovic and D. Cabric, “Energy-Efficient Processor for Blind
`Signal Classification in Cognitive Radio Networks”, IEEE Transactions on Circuits and Systems I,
`vol.61, no.2, pp.587-599, February 2014.
`
`[44] P. Urriza, E. Rebeiz and D. Cabric, “Optimal Discriminant Functions Based On Sampled Dis-
`tribution Distance for Modulation Classification”, IEEE Communications Letters, vol.17, no.10,
`pp.1885-1888, October 2013.
`
`[45] C.-H. Liu, J. Tran, P. Pawelczak and D. Cabric, “Traffic-Aware Channel Sensing Order in Dynamic
`Spectrum Access Networks”, IEEE Journal on Selected Areas in Communications, vol.31, no.11,
`pp.2312-2323, November 2013..
`
`[46] P. Urriza, E. Rebeiz and D. Cabric, “Multiple Antenna Cyclostationary Spectrum Sensing Based
`on the Cyclic Correlation Significance Test”,IEEE Journal on Selected Areas in Communications
`vol.31, no.11, pp.2185-2195, November 2013.
`
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`[47] E. Rebeiz, P. Urriza and D. Cabric, “Optimizing Wideband Cyclostationary Spectrum Sensing
`under Receiver Impairments”, IEEE Transactions on Signal Processing, vol. 61, no. 15, pp. 3931–
`3943, Aug. 2013.
`
`[48] F. Penna and D. Cabric, “Cooperative DoA-only Localization of Primary Users in Cognitive Radio
`Networks”, in EURASIP Journal on Wireless Communications and Networking, 19 Apr. 2013.
`
`[49] J. Wang, J. Chen and D. Cabric, “Stansfield Localization Algorithm: Theoretical Analysis and
`Distributed Implementation”, IEEE Wireless Communications Letters, vol. 2, no. 3, pp. 327–330,
`June. 2013.
`
`[50] A. Gokceoglu, Y. Zou, M. Valkama, P. C. Sofotasios, P. Mathecken and D. Cabric, “Mutual Infor-
`mation Analysis of OFDM Radio Link under Phase Noise, IQ Imbalance and Frequency-Selective
`Fading Channel”, IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 3048–3059,
`June 2013.
`
`[51] J. Wang, J. Chen and D. Cabric, “Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User
`Localization in Cognitive Radio Networks”, IEEE Transactions on Wireless Communications, vol.
`12, no. 3, pp. 1363–1375, Mar. 2013.
`
`[52] P. Sofotasios, E. Rebeiz, L. Zhang, T. Tsiftsis, S. Freear and D. Cabric, “Energy Detection-Based
`Spectrum Sensing over Generalized and Extreme Fading Channels”, IEEE Transactions Vehicular
`Technology, vol. 62, no. 3, pp. 1031–1040, Mar. 2013.
`
`[53] W. Gabran, C.-H. Liu, P. Pawelczak and D. Cabric, “Primary User Traffic Estimation for Dynamic
`Spectrum Access”, IEEE Journal on Selected Areas in Communications, vol. 31, no. 3, pp. 544–
`558, Mar. 2013.
`
`[54] S. Joshi, P. Pawelczak, D. Cabric and J. Villasenor, “When Channel Bonding is Beneficial for
`Opportunistic Spectrum Access Networks”, IEEE Transactions on Wireless Communications, vol.
`11, no. 11, pp. 3942–3956, Nov. 2012.
`
`[55] P. Pawelczak, S. Joshi, S. Addepalli, J. Villasenor and D. Cabric, “Impact of Connection Admis-
`sion Process on the Direct Retry Load Balancing Algorithm in Cellular Networks”, accepted for
`publication in IEEE Transactions on Mobile Computing, 27 Apr. 2012.
`
`[56] T.-H. Yu, C.-H. Yang, D. Cabric and D. Markovic, “A 7.4 mW 200 MS/s Wideband Spectrum
`Sensing Digital Baseband Processor for Cognitive Radios”, IEEE Journal of Solid-State Circuits,
`vol. 47, no. 9, pp. 2235–2245, Sep. 2012.
`
`[57] S.-K. Ting, D. Cabric and A. H. Sayed, “An Algorithm to Compensate the Effects of Spurious PLL
`Tones in Spectrum Sensing Architectures”, IEEE Transactions on Circuits and Systems I, vol. 59,
`no. 5, pp. 1093–1106, May 2012.
`
`[58] J. Park, P. Pawelczak, P. Gronsund and D. Cabric, “Analysis Framework for Opportunistic Spec-
`trum OFDMA and its Application to IEEE 802.22 Standard”, IEEE Transactions on Vehicular
`Technology, vol. 61, no. 5, pp. 2271–2293, Jun. 2012.
`
`[59] F. Penna, Y. Sun, L. Dolecek and D. Cabric, “Detecting and Counteracting Statistical Attacks
`in Cooperative Spectrum Sensing”, IEEE Transactions on Signal Processing, vol. 60, no. 4, pp.
`1806–1822, Apr. 2012.
`
`[60] J.H.C. van den Heuvel, J.P.M.G. Linnartz, P.G.M. Baltus and D. Cabric, “Full MIMO Spatial Fil-
`tering Approach for Dynamic Range Reduction in Wideband Cognitive Radios”, IEEE Transactions
`on Circuits and Systems I, vol. 59, no. 11, pp. 2761–2773, Nov. 2012.
`
`[61] J. Wang, P. Urriza, Y. Han and D. Cabric, “Weighted Centroid Localization Algorithm: Theoretical
`Analysis and Distributed Implementation”, IEEE Transactions on Wireless Communications, vol.
`10, no. 10, pp. 3403–3413, Oct. 2011.
`
`[62] Y. Han, J. Wen, D. Cabric and J. Villasenor, “Probabilistic Estimation of the Number of Frequency-
`Hopping Transmitters”, IEEE Transactions on Wireless Communications, vol. 10, no. 10, pp.
`3232–3240, Oct. 2011.
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`[63] J. Park, P. Pawelczak and D. Cabric, “Performance of Joint Spectrum Sensing and MAC Algorithms
`for Multichannel Opportunistic Spectrum Access Ad Hoc Networks”, IEEE Transactions on Mobile
`Computing, vol. 10, no. 7, pp. 1011–1027, Jul. 2011.
`
`[64] W. Gabran, P. Pawelczak and D. Cabric, “Throughput and Collision Analysis of Multi-Channel
`Multi-Stage Spectrum Sensing Algorithms”, IEEE Transactions on Vehicular Technology, vol. 60,
`no. 7, pp. 3309–3323, Sep. 2011.
`
`[65] P. Urriza, E. Rebeiz, P. Pawelczak and D. Cabric, “Computationally Efficient Modulation Level
`Classification Based on Probability Distribution Distance Functions”, IEEE Communications Let-
`ters, vol. 15, no. 5, pp. 476–478, May 2011.
`
`[66] T.-H. Yu, O. Sekkat, S. Rodriguez-Parera, D. Markovic and D. Cabric, “A Wideband Spectrum-
`Sensing Processor with Adaptive Detection Threshold and Sensing Time”, IEEE Transactions on
`Circuit and System I, vol. 58, no. 11, pp. 2765–2775, Nov. 2011.
`
`[67] Y. Han, J. Wen, D. Cabric and J. Villasenor, “Using a vector of observations to identify the number
`of frequency-hopping transmitters”, IEEE Communications Letters, vol. 15, no. 3, pp. 299–301,
`Mar. 2011.
`
`[68] K. Zeng, P. Pawelczak and D. Cabric, “Reputation-based Cooperative Spectrum Sensing with
`Trusted Node Assistance”, IEEE Communications Letters, vol. 14, no. 3, pp. 226–228, Mar. 2010.
`
`[69] D. Cabric, M.S.W. Chen, D. Sobel, S. Wang, Y. Yang and R.W. Brodersen, “Novel Radio Ar-
`chitectures for UWB, 60 GHz, and Cognitive Wireless Systems”, EURASIP Journal on Wireless
`Communications and Networking, vol. 2006, no. 2, pp. 22, Apr. 2006.
`
`[70] E. Grayver, J.-F. Frigon, A.M. Eltawil, A. Tarighat, K. Shoarinejad, A. Abbasfar, D. Cabric and B.
`Daneshrad, “Design and VLSI Implementation for a WCDMA Multipath Searcher”, IEEE Trans-
`actions on Vehicular Technology, vol. 54, no. 3, pp. 889–902, May 2005.
`
`[71] D. Cabric, A.M. Eltawil, H. Zou, S. Mohan and B. Daneshrad, “Wireless Field Trial Results of
`a High Hopping Rate FHSS-FSK Testbed”, IEEE Journal on Selected Areas in Communications,
`vol. 23, no. 5, pp. 1113–1122, May 2005.
`
`Magazine Articles
`
`[1] C-C.Lin, V. Boljanovic, H. Yan, E. Ghaderi, M.A. Mokri, J. Gaddis, A. Wadaskar, C. Puglisi,
`S. Mohapatra, Q. Xu, S. Poolakkal, D. Heo, S. Gupta, and D. Cabric, ”Wideband Beamforming
`with Rainbow Beam Training using Reconfigurable True-Time-Delay Arrays for Millimeter-Wave
`Wireless”, accepted to IEEE Circuits and Systems Magazine, May 2022.
`
`[2] M. Hoyhtya, A. Mammela, A. Chiumento, S. Pollin, M. Forsell, and D. Cabric, “Database-assisted
`spectrum prediction in 5G and beyond networks: A review and future challenges”, in IEEE Circuits
`and Systems Magazine, August 2019.
`
`[3] H. Yan, S. Ramesh, T. Gallagher, C. Ling, D. Cabric, “Performance, Power, and Area Design Trade-
`offs in Millimeter-Wave Transmitter Beamforming Architectures,” in IEEE Circuits and Systems
`Magazine, June 2019.
`
`[4] Ramesh Harjani, Danijela Cabric, Dejan Markovic, Brian M. Sadler, Rakesh K. Palani, Anindya
`Saha, Hundo Shin, Eric Rebeiz, Sina Basir-Kazeruni and Fang-Li Yuan, “Wideband Blind Signal
`Classification on a Battery Budget”, (invited paper) in IEEE Communications Magazine, vol.53,
`no.10, pp.173-181, October 2015.
`
`[5] P. Gronsund, P. Pawelczak, J. Park, and D. Cabric, “System Level Performance of IEEE 802.22-
`2011 with Sensing-Based Detection of Wireless Microphones”, IEEE Communications Magazine,
`vol.52, no.1, pp.200-209, January 2014.
`
`[6] P. Pawelczak, K. Nolan, L. Doyle, S. W. Oh and D. Cabric, “Cognitive Radio: Ten Years of
`Experimentation and Development”, IEEE Communications Magazine, vol. 49, no. 3, pp. 90–100,
`Mar. 2011.
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`Case 6:20-cv-00272-ADA Document 106-4 Filed 12/13/23 Page 12 of 25
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`[7] D. Cabric, “Addressing Feasibility of