Marwan M Krunz

Interests

Research

5G and 4G/LTE wireless systems; next-generation Wi-Fi systems; IoT systems; millimeter-wave communications; distributed network protocols; machine learning for communications; cognitive/agile radios; dynamic and shared spectrum access; full-duplex transmissions; ultra-low-latency mobile edge computing (MEC); vehicular communications (V2X); network slicing; physical-layer wireless security; satellite communications; MIMO system; energy management in IoT; streaming over wireless links

Teaching

wireless protocols; next-generation computer networks; performance evaluation; communications systems; machine learning

Courses

Scholarly Contributions

Journals/Publications

• D\'an, G., Zhou, J. T., Luo, T., Zhang, W., Liu, W., Wong, W., Ong, Y. S., Liu, H., Wang, F., Guo, Y., & others, . (2022). Workshop Committee.
• Feng, M., Krunz, M., & Zhang, W. (2021). Joint Task Partitioning and User Association for Latency Minimization in Mobile Edge Computing Networks. IEEE Transactions on Vehicular Technology, 70(8), 8108-8121.
• Hirzallah, M., Krunz, M., Kecicioglu, B., & Hamzeh, B. (2021). 5G New Radio Unlicensed: Challenges and Evaluation. IEEE Transactions on Cognitive Communications and Networking, 7(3), 689-701.
• Xiao, Y., & Krunz, M. (2021). AdaptiveFog: A Modelling and Optimization Framework for Fog Computing in Intelligent Transportation Systems. IEEE Transactions on Mobile Computing, 1-1.
• Zhang, Z., Rahbari, H., & Krunz, M. (2021). Adaptive Preamble Embedding with MIMO to Support User-defined Functionalities in WLANs. IEEE Transactions on Mobile Computing, 1-1.
• Aykin, I., & Krunz, M. (2020). Efficient beam sweeping algorithms and initial access protocols for millimeter-wave networks. IEEE Transactions on Wireless Communications, 19(4), 2504--2514.
• Hou, J., Sun, L. i., Shu, T., Xiao, Y., & Krunz, M. (2020). Economics of Strategic Network Infrastructure Sharing: A Backup Reservation Approach. IEEE/ACM Transactions on Networking, 29(2), 665--680.
• Kantemur, A., Tak, J., Siyari, P., Abdelrahman, A. H., Krunz, M., & Xin, H. (2020). A novel compact reconfigurable broadband antenna for cognitive radio applications. IEEE Transactions on Antennas and Propagation, 68(9), 6538--6547.
• Xiao, Y., Shi, G., & Krunz, M. (2020). Towards ubiquitous AI in 6G with federated learning. arXiv preprint arXiv:2004.13563.
• Xin, H., Krunz, M. M., Abdelrahman, A. H., Siyari, P., Tak, J., & Kantemur, A. (2020). A novel compact reconfigurable broadband antenna for cognitive radio applications. IEEE Transactions on Antennas and Propagation (2nd round of revisions).
• Aykin, I., Akgun, B., & Krunz, M. (2019). Multi-beam Transmissions for Blockage Resilience and Reliability in Millimeter-wave Systems. IEEE Journal on Selected Areas in Communications, 37(12), 2772--2785.
• Hanawal, M. K., Nguyen, D. N., & Krunz, M. (2019). Cognitive Networks with In-band Full-duplex Radios: Jamming Attacks and Countermeasures. IEEE Transactions on Cognitive Communications and Networking.
• Hirzallah, M., Krunz, M., & Xiao, Y. (2019). Harmonious cross-technology coexistence with heterogeneous traffic in unlicensed bands: Analysis and approximations. IEEE Transactions on Cognitive Communications and Networking, 5(3), 690--701.
• Siyari, P., Rahbari, H., & Krunz, M. (2019). Lightweight Machine Learning for Efficient Frequency-Offset-Aware Demodulation. IEEE Journal on Selected Areas in Communications, 37(11), 2544--2558.
• Xiao, Y., Krunz, M. M., Lazos, L., Li, M., & Salama, A. M. (2019). Trading Privacy for Utility in Database-assisted Dynamic Spectrum Access. IEEE Transactions on Cognitive Communications and Networking, 14. doi:10.1109/TCCN.2019.2919731
• Xiao, Y., Krunz, M., & Shu, T. (2019). Multi-operator network sharing for massive IoT. IEEE Communications Magazine, 57(4), 96--101.
• Afifi, W., Abdel-Rahman, M. J., Krunz, M., & MacKenzie, A. B. (2018). Full-Duplex or Half-Duplex: A Bayesian Game for Wireless Networks with Heterogeneous Self-Interference Cancellation Capabilities. IEEE Transactions on Mobile Computing, 17(5), 1076-1089.
• Akgun, B., Krunz, M., & Koyluoglu, O. O. (2018). Vulnerabilities of massive MIMO systems to pilot contamination attacks. IEEE Transactions on Information Forensics and Security, 14(5), 1251--1263.
• Aykin, I., Krunz, M., & Xiao, Y. (2018). Adaptive frequency-hopping schemes for CR-based multi-link satellite networks. International Journal of Satellite Communications and Networking, 36(4), 315--331.
• Hirzallah, M., Afifi, W., & Krunz, M. (2018). Provisioning QoS in Wi-Fi systems with asymmetric full-duplex communications. IEEE Transactions on Cognitive Communications and Networking, 4(4), 942--953.
• Ismaiel, B., Abolhasan, M., Ni, W., Smith, D., Franklin, D., Dutkiewicz, E., Krunz, M. M., & Jamalipour, A. (2018). PCF-Based LTE Wi-Fi Aggregation for Coordinating and Offloading the Cellular Traffic to D2D Network. IEEE Transactions on Vehicular Technology, 67(12), 12193--12203.
• Nguyen, D. N., Dutkiewicz, E., & Krunz, M. (2018). Harvesting Short-Lived White Spaces via Opportunistic Traffic Offloading Between Mobile Service Providers. IEEE Transactions on Cognitive Communications and Networking, 4(3), 635--647.
• Nguyen, D. N., Krunz, M., & Dutkiewicz, E. (2018). Full-Duplex MIMO Radios: A Greener Networking Solution. IEEE Transactions on Green Communications and Networking, 2(3), 652--665.
• Siyari, P., Krunz, M., & Nguyen, D. N. (2018). Distributed power control in single-stream MIMO wiretap interference networks with full-duplex jamming receivers. IEEE Transactions on Signal Processing, 67(3), 594--608.
• Siyari, P., Krunz, M., & Nguyen, D. N. (2018). Power games for secure communications in single-stream MIMO interference networks. IEEE Transactions on Wireless Communications, 17(9), 5759--5773.
• Siyari, P., Rahbari, H., & Krunz, M. (2018). Application of machine learning in carrier-frequency-offset-aware demodulation. University of Arizona Department of ECE, Tech. Rep.
• Xiao, Y., & Krunz, M. (2018). Distributed optimization for energy-efficient fog computing in the tactile Internet. IEEE Journal on Selected Areas in Communications, 36(11), 2390--2400.
• Xiao, Y., & Krunz, M. (2018). Dynamic network slicing for scalable fog computing systems with energy harvesting. IEEE Journal on Selected Areas in Communications, 36(12), 2640--2654.
• Xiao, Y., Hirzallah, M., & Krunz, M. (2018). Distributed resource allocation for network slicing over licensed and unlicensed bands. IEEE Journal on Selected Areas in Communications, 36(10), 2260--2274.
• Afifi, W., & Krunz, M. (2017). TSRA: An Adaptive Mechanism for Switching between Communication Modes in Full-duplex Opportunistic Spectrum Access Systems. IEEE Transactions on Mobile Computing, 16, 1758-1772.
• Akgun, B., Koyluoglu, O. O., & Krunz, M. (2017). Exploiting Full-duplex Receivers for Achieving Secret Communications in Multiuser MISO Networks. IEEE Transactions on Communications, 65, 956-968.
• Elias, J., Martignon, F., Chen, L., & Krunz, M. (2017). Distributed Spectrum Management in TV White Space Networks. IEEE Transactions on Vehicular Technology, 66, 4161-4172.
• Hirzallah, M., Afifi, W., & Krunz, M. (2017). Full-duplex-based Rate/Mode Adaptation Strategies for Wi-Fi/LTE-U Coexistence: A POMDP Approach. IEEE Journal on Selected Areas in Communications, 35(1), 20-29.
• Proano, A., Lazos, L., & Krunz, M. (2017). Traffic decorrelation techniques for countering colluding eavesdroppers in WSNs. IEEE Transactions on Mobile Computing.
• Siyari, P., Krunz, M., & Nguyen, D. (2016). Friendly jamming in a MIMO wiretap interference network: A non-convex game approach. IEEE Journal on Selected Areas in Communications (JSAC) - Special Issue on Game Theory for Networks.
• Abdel-Rahman, M., Shankar, H. K., & Krunz, M. (2016). QoS-aware Parallel Sensing/Probing Architecture and Adaptive Cross-Layer Protocol Design for Opportunistic Networks. IEEE Transactions on Vehicular Technology, 65(4), 2231--2242.
• Ashour, M., Butt, M. M., Mohamed, A., ElBatt, T., & Krunz, M. (2016). Energy-Aware Cooperative Wireless Networks With Multiple Cognitive Users. IEEE Transactions on Communications, 64(8), 3233--3245.
• Hanawal, M., Abdel-Rahman, M., & Krunz, M. (2016). Joint Adaptation of Frequency Hopping and Transmission Rate for Anti-Jamming Wireless Systems. IEEE Transactions on Mobile Computing, 15(9), 2247--2259.
• Nguyen, D., Krunz, M. M., & Hanly, S. (2016). Distributed bargaining mechanisms for MIMO dynamic spectrum access systems. IEEE Transactions on Cognitive Communications and Networking, 1(1), 113-127.
• Rahbari, H., & Krunz, M. (2016). Full Frame Encryption and Modulation Obfuscation Using Channel-Independent Preamble Identifier. IEEE Transactions on Information Forensics and Security, 11(12), 2732--2747.
• Rahbari, H., Krunz, M., & Lazos, L. (2016). Swift Jamming Attack on Frequency Offset Estimation: The Achilles’ Heel of OFDM Systems. IEEE Transactions on Mobile Computing, 15(5), 1264-1278.
• Abdel-Rahman, M., & Krunz, M. (2015). Stochastic guard-band-aware channel assignment with bonding and aggregation for DSA networks. IEEE Transactions on Wireless Communications, 14(7), 3888--3898.
• Abdel-Rahman, M., Krunz, M., & Erwin, R. (2015). Exploiting cognitive radios for reliable satellite communications. Wiley International Journal of Satellite Communications and Networking, 33(3), 197--216.
• Abdel-Rahman, M., Rahbari, H., & Krunz, M. (2015). Multicast rendezvous in fast-varying DSA networks. IEEE Transactions on Mobile Computing, 14(7), 1449--1462.
• Afifi, W., & Krunz, M. (2015). Incorporating self-interference suppression for full-duplex operation in opportunistic spectrum access systems. IEEE Transactions on Wireless Communications, 14(4), 2180--2191.
• Elias, J., Paris, S., & Krunz, M. M. (2015). Cross technology interference mitigation in body area networks: An optimization approach. IEEE Transactions on Vehicular Technology, 64, 4144-4157.
• Liu, S., Lazos, L., & Krunz, M. (2015). Time-delayed broadcasting for defeating inside jammers. IEEE Transactions on Dependable and Secure Computing, 12(3), 351--365.
• Liu, S., Lazos, L., & Krunz, M. M. (2015). Time-Delayed Broadcasting for Defeating Inside Jammers. IEEE Transactions on Dependable and Secure Computing (TDSC),, 12, 351-365.
• Rahbari, H., & Krunz, M. (2015). Secrecy beyond encryption: Obfuscating transmission signatures in wireless communications. IEEE Communications Magazine, 53(12), 54-60.
• Rahbari, H., & Krunz, M. M. (2015). Secrecy beyond encryption: Obfuscating transmission signatures in wireless communications. IEEE Communications Magazine – Feature Topic on Wireless Physical Layer Security, 53(12), 54-60.
• Rahbari, H., Krunz, M. M., & Lazos, L. (2015). Swift Jamming Attack on Frequency Offset Estimation: The Achil- les’ Heel of OFDM Systems. IEEE Transactions on Mobile Computing (TMC). doi:10.1109/TMC.2015.2456916
• Rahbari, H., Krunz, M. M., & Lazos, L. (2015). Swift Jamming Attack on Frequency Offset Estimation: The Achilles’ Heel of OFDM Systems. IEEE Transactions on Mobile Computing (TMC), 12(3), 351 - 365. doi:10.1109/TMC.2015.2456916
• Rahman, M. A., & Krunz, M. M. (2015). Stochastic guard-band-aware channel assignment with bonding and aggregation for DSA networks. IEEE Transactions on Wireless Communications, 3888-3898.
• Shu, T., & Krunz, M. (2015). Privacy-preserving and truthful detection of packet dropping attacks in wireless ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 813--828.
• Al-Zubi, R. T., Krunz, M., & Salameh, H. B. (2014). IMPORTANT: Integrating Multi-rate capability into Opportunistic Routing in uwb-based Ad hoc NeTworks. Computer Communications, 53, 84--94.
• Al-Zubi, R., Krunz, M., & Salameh, H. B. (2014). IMPORTANT: Integrating multi-rate capability into opportunistic routing in UWB-based Ad hoc networks. Journal of Computer Communications, 53, 84--94.
• Al-Zubi, R., Krunz, M., Al-Sukkar, G., Hawa, M., & Darabkh, K. (2014). Packet recycling and delayed ACK for improving the performance of TCP over MANETs. Journal of Wireless Personal Communications, 75(2), 943--963.
• Gaudette, B., Hanumaiah, V., Krunz, M., & Vrudhula, S. (2014). Maximizing quality of coverage under connectivity constraints in solar-powered active wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 10(4), 59:1--59:27.
• Nguyen, D., & Krunz, M. (2014). A cooperative MIMO framework for wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 10(3), 43:1--43:28.
• Salameh, H. B., Krunz, M., & Manzi, D. (2014). Spectrum bonding and aggregation with guard-band awareness in cognitive radio networks. IEEE Transactions on Mobile Computing, 13(3), 569--581.
• Siam, M. Z., Al-Zubi, R., & Krunz, M. (2014). Proposing Effective Schemes for WRANs. International Journal of Computer and Electronics Research, 3(5).
• Uyanik, G. S., Abdel-Rahman, M., & Krunz, M. (2014). Optimal channel assignment with aggregation in multi-channel systems: A resilient approach to adjacent-channel interference. Ad Hoc Networks Journal, 20, 64--76.
• Krunz, M., & Hughes, H. (1994). Analysis of a Markov-Modulated Fluid Model for Multimedia Traffic with Loss and Delay Priorities. Journal of High Speed Networks, 3(3), 309-329. doi:10.3233/jhs-1994-3305
  More info

  This paper presents a complete fluid-flow analysis of a traffic control mechanism in an ATM multiplexer, known as Nested Threshold Cell Discarding with Multiple Buffers. NTCD/MB is a buffer management scheme that implements loss and delay priority queueing strategies in order to satisfy a wide range of quality-of-service requirements. We consider a heterogeneous mix of traffic which consists of real-time traffic with a stringent cell delay requirement, and nonreal-time traffic with a stringent cell loss requirement. Moreover, a proportion of real-time cells has an additional stringent loss requirement. Cell arrivals are mode led using a fluid-flow modeling approach. The system we analyze consists of two buffers interacting via a common server. The steady-state probability distribution for the buffers' content as well as other performance statistics are obtained. Our approach is based on computing the conditional probability distributions of the buffers and using this information to find the desired unconditional stationary distributions. This approach can be used, in general, to analyze multiple dependent systems of buffers. Numerical examples based on the analysis are used along with simulations to study the performance of NTCD/MB. It is shown that NTCD/MB can be used effectively to provide performance guarantees on different cell loss and delay requirements of the traffic.

Proceedings Publications

• Chan, S., Krunz, M., & Griffin, B. (2021). AI-based Robust Convex Relaxations for Supporting Diverse QoS in Next-Generation Wireless Systems. In 2021 IEEE 41st International Conference on Distributed Computing Systems Workshops (ICDCSW).
• Chan, S., Krunz, M., & Griffin, B. (2021). Adaptive Time-Frequency Synthesis for Waveform Discernment in Wireless Communications. In 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
• Feng, M., & Krunz, M. (2021). Program Placement Optimization for Storage-constrained Mobile Edge Computing Systems: A Multi-armed Bandit Approach. In 2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM).
• Feng, M., Akgun, B., Aykin, I., & Krunz, M. (2021). Beamwidth Optimization for 5G NR Millimeter Wave Cellular Networks: A Multi-armed Bandit Approach. In ICC 2021 - IEEE International Conference on Communications.
• Feng, M., Krunz, M., & Zhang, W. (2021). Task Partitioning and User Association for Latency Minimization in Mobile Edge Computing Networks. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
• Hirzallah, M., & Krunz, M. (2021). Sense-Bandits: AI-based Adaptation of Sensing Thresholds for Heterogeneous-technology Coexistence Over Unlicensed Bands. In 2021 International Conference on Computer Communications and Networks (ICCCN).
• Sarkar, S., Krunz, M., Aykin, I., & Manzi, D. (2021). Machine Learning for Robust Beam Tracking in Mobile Millimeter-Wave Systems. In 2021 IEEE Global Communications Conference (GLOBECOM).
• Yazdani-Abyaneh, A., & Krunz, M. (2021). CWmin Estimation and Collision Identification in Wi-Fi Systems. In 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS).
• Zhang, W., Feng, M., Krunz, M., & Hossein, Y. (2021). Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications.
• Zhang, W., Krunz, M., & Ditzler, G. (2021). Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum. In MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).
• Zhang, Z., & Krunz, M. (2021). Preamble Injection and Spoofing Attacks in Wi-Fi Networks. In 2021 IEEE Global Communications Conference (GLOBECOM).
• Akgun, B., Krunz, M., & Manzi, D. (2020). Impact of beamforming on delay spread in wideband millimeter-wave systems. In 2020 International Conference on Computing, Networking and Communications (ICNC).
• Aykin, I., Akgun, B., Feng, M., & Krunz, M. (2020). MAMBA: A Multi-armed Bandit Framework for Beam Tracking in Millimeter-wave Systems. In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications.
• Berian, A., Aykin, I., Krunz, M., & Bose, T. (2020). Deep Learning Based Identification of Wireless Protocols in the PHY layer. In 2020 International Conference on Computing, Networking and Communications (ICNC).
• Hirzallah, M., & Krunz, M. (2020). Intelligent Tracking of Network Dynamics for Cross-Technology Coexistence Over Unlicensed Bands. In 2020 International Conference on Computing, Networking and Communications (ICNC).
• Hirzallah, M., & Krunz, M. (2020). Intelligent tracking of network dynamics for cross-technology coexistence over unlicensed bands. In 2020 International Conference on Computing, Networking and Communications (ICNC).
• Salama, A. M., Li, M., Lazos, L., Xiao, Y., & Krunz, M. (2020). Privacy-Utility Tradeoff in Dynamic Spectrum Sharing with Non-Cooperative Incumbent Users. In ICC 2020-2020 IEEE International Conference on Communications (ICC).
• Xia, R., Xiao, Y., Li, Y., Krunz, M., & Niyato, D. (2020). A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network. In ICC 2020 - 2020 IEEE International Conference on Communications (ICC).
• Xia, R., Xiao, Y., Li, Y., Krunz, M., & Niyato, D. (2020). A generative learning approach for spatio-temporal modeling in connected vehicular network. In ICC 2020-2020 IEEE International Conference on Communications (ICC).
• Zhang, W., Feng, M., Krunz, M., & Volos, H. (2020). Latency Prediction for Delay-sensitive V2X Applications in Mobile Cloud/Edge Computing Systems. In GLOBECOM 2020 - 2020 IEEE Global Communications Conference.
• Zhang, W., Feng, M., Krunz, M., & Volos, H. (2020). Latency Prediction for Delay-sensitive V2X Applications in Mobile Cloud/Edge Computing Systems. In GLOBECOM 2020-2020 IEEE Global Communications Conference.
• Zhang, Z., Rahbari, H., & Krunz, M. (2020). Expanding the Role of Preambles to Support User-defined Functionality in MIMO-based WLANs. In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications.
• Abyaneh, A., Hirzallah, M., & Krunz, M. (2019). Intelligent-CW: AI-based Framework for Controlling Contention Window in WLANs. In 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
• Aykin, I., Akgun, B., & Krunz, M. (2019). Smartlink: Exploiting Channel Clustering Effects for Reliable Millimeter Wave Communications. In IEEE INFOCOM 2019 - IEEE Conference on Computer Communications.
• Hirzallah, M., Xiao, Y., & Krunz, M. (2019). MatchMaker: An inter-operator network sharing framework in unlicensed bands. In 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
• Hou, J., Sun, L. i., Shu, T., Xiaoy, Y., & Krunzz, M. (2019). Strategic Network Infrastructure Sharing through Backup Reservation in a Competitive Environment. In 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
• Siyari, P., & Krunz, M. (2019). Linear Precoding with Friendly Jamming in Overloaded MU-MIMO Wiretap Networks. In 2019 IEEE Conference on Communications and Network Security (CNS).
• Xiao, Y., Krunz, M., Volos, H., & Bando, T. (2019). Driving in the Fog: Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles. In 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
• Aykin, I., & Krunz, M. (2018). Fastlink: An efficient initial access protocol for millimeter wave systems. In Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems.
• Hirzallah, M., Afifi, W., & Krunz, M. (2018). Joint mode and rate adaptation for asymmetric full-duplex communications in WLANs. In 2018 IEEE International Conference on Communications (ICC).
• Hirzallah, M., Xiao, Y., & Krunz, M. (2018). On modeling and optimizing LTE/Wi-Fi coexistence with prioritized traffic classes. In 2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
• Krunz, M. M., Li, M., Xiao, Y., Lazos, L., & Samy, I. (2018, Spring 2018). LTE Misbehavior Detection in Wi-Fi/LTE Coexistence Under the LAA-LTE Standard. In Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), 87-98.
• Krunz, M. M., Xiao, Y., Li, M., Lazos, L., & Salama, A. (2018, Spring 2018). On the Privacy and Utility Tradeoff in Database-Assisted Dynamic Spectrum Access. In Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks (DySpan), 1-10.
• Rahbari, H., Siyari, P., Krunz, M., & Park, J. J. (2018). Adaptive demodulation for wireless systems in the presence of frequency-offset estimation errors. In IEEE INFOCOM 2018-IEEE Conference on Computer Communications.
• Salama, A. M., Li, M., Lazos, L., Xiao, Y., & Krunz, M. (2018). On the privacy and utility tradeoff in database-assisted dynamic spectrum access. In 2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
• Samy, I., Lazos, L., Xiao, Y., Li, M., & Krunz, M. (2018). LTE misbehavior detection in Wi-Fi/LTE coexistence under the LAA-LTE standard. In Proceedings of the 11th ACM Conference on Security \& Privacy in Wireless and Mobile Networks.
• Xiao, Y., Hirzallah, M., & Krunz, M. (2018). Optimizing inter-operator network slicing over licensed and unlicensed bands. In 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
• Akgun, B., Koyluoglu, O. O., & Krunz, M. (2017, November). Pilot contamination attacks in massive MIMO systems. In Proc. of the ACM MobiHoc Conference.
• Vanhoy, G., Bose, T., & Krunz, M. (2017, November). Improving PHY-layer security with probabilistic symbol extension. In 2017 Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio (WInnComm 2017), San Diego.
• Abdel-Rahman, M., AbdelRaheem, M., MacKenzie, A., Cardoso, K., & Krunz, M. (2016, April). On the orchestration of robust virtual LTE-U networks from hybrid half/full-duplex Wi-Fi APs. In Proc. of the IEEE Wireless Communications and Networking Conference (WCNC) Conference.
• Afifi, W., Abdel-Rahman, M., Krunz, M., & MacKenzie, A. (2016, May). Coexistence in wireless networks with heterogeneous self-interference cancellation capabilities. In Proc. of the 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'16).
• Afifi, W., Hassan, M., & Krunz, M. (2016, April). Enabling media streaming over LTE-U small cells. In Proc. of the IEEE Wireless Communications and Networking Conference (WCNC) Conference.
• Afifi, W., Hirzallah, M., & Krunz, M. (2016, Nov.). Integrating full-duplex capabilities in heterogeneous spectrum sharing. In Proc. of the 50th Asilomar Conference on Signals, Systems and Computers.
• Afifi, W., Rantala, E., Tuomaala, E., Choudhury, S., & Krunz, M. (2016, May). Throughput-fairness tradeoff evaluation for next-generation WLANs with adaptive clear channel assessment. In Proc. of the IEEE ICC 2016 Conference (Mobile and Wireless Networking Symposium).
• Aykin, I., & Krunz, M. (2016, Dec.). Proactive sensing and interference mitigation in multi-link satellite networks. In Proc. of the IEEE GLOBECOM Conference.
• Hanawal, M., Nguyen, D., & Krunz, M. (2016, April). Jamming attack on in-band full-duplex communications: Detection and countermeasures. In Proc. of the IEEE INFOCOM'16 Conference.
• Hirzallah, M., Afifi, W., & Krunz, M. (2016, Dec.). Full-duplex spectrum sensing and fairness mechanisms for Wi-Fi/LTE-U coexistence. In Proc. of the IEEE GLOBECOM Conference.
• Koulali, M., Sabir, E., Ghogho, M., & Krunz, M. (2016, Dec.). Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks. In Proc. of the IEEE GLOBECOM Conference.
• Rahbari, H., & Krunz, M. (2016, Oct.). Rolling Preambles: Mitigating Stealthy FO Estimation Attacks in OFDM-based 802.11 Systems. In Proc. of the IEEE CNS 2016 Conference.
• Siyari, P., Krunz, M., & Nguyen, D. (2016, April). Price-based friendly jamming in a MISO interference wiretap channel. In Proc. of the IEEE INFOCOM'16 Conference.
• Siyari, P., Krunz, M., & Nguyen, D. (2016, Dec.). Distributed optimization of artificial-noise aided transmission in MIMO wiretap interference channel. In Proc. of the IEEE GLOBECOM Conference.
• Venosa, E., Vermeire, B., Alakija, C., Harris, F., Strobel, D., Sheehe, C., & Krunz, M. (2016, April). Non-maximally decimated filter banks enable adaptive frequency hopping for unmanned aircraft vehicles. In Proc. of the ICNS 2016 Conference.
• Abdel-Rahman, M., & Krunz, M. (2015, June). CORE: A combinatorial game-theoretic framework for coexistence rendezvous in DSA networks. In Proc. of the IEEE SECON 2015 Conference.
• Akgun, B., Koyluoglu, O. O., & Krunz, M. (2015, Dec.). Receiver-based friendly jamming with single-antenna full-duplex receivers in a multiuser broadcast channel. In Proc. of the IEEE GLOBECOM'15 Conference.
• Eletreby, R., Rahbari, H., & Krunz, M. (2015, Dec.). Supporting PHY-layer Security in Multi-link Wireless Networks Using Friendly Jamming. In Proc. of the IEEE GLOBECOM'15 Conference.
• Elias, J., & Krunz, M. (2015, May). Distributed spectrum management in TV white space cognitive radio networks. In Proc. of the IFIP Networking 2015 Conference.
• Kim, J., Alfowzan, M., & Krunz, M. (2015, June). Power-controlled channel access protocol for wireless networks with full-duplex and OFDMA capabilities. In Proc. of the IEEE SECON 2015 Conference.
• Nguyen, D., & Krunz, M. (2015, April). Be responsible: A novel communications scheme for full-duplex MIMO radios. In Proc. of the IEEE INFOCOM 2015 Conference.
• Abdel-Rahman, M., & Krunz, M. (2014, April). Game-theoretic quorum-based frequency hopping for anti-jamming rendezvous in DSA networks. In Proc. of the IEEE DYSPAN 2014 Conference.
• Abdel-Rahman, M., Shankar, H. K., & Krunz, M. (2014, April). Adaptive cross-layer protocol design for opportunistic WLANs over TVWS. In Proc. of the IEEE DYSPAN 2014 Conference.
• Afifi, W., & Krunz, M. (2014, April). Adaptive transmission-reception-sensing strategy for cognitive radios with full-duplex capabilities. In Proc. of the IEEE DYSPAN 2014 Conference.
• Hanawal, M. K., Abdel-Rahman, M., & Krunz, M. (2014, May). Game theoretic anti-jamming dynamic frequency hopping and rate adaptation in wireless systems. In Proc. of WiOpt 2014.
• Nguyen, D., Krunz, M., & Hanly, S. (2014, May). On the throughput of full-duplex MIMO in the multi-link case. In Proc. of WiOpt 2014.
• Rahbari, H., & Krunz, M. (2014, July). Friendly CryptoJam: A mechanism for securing physical-layer attributes. In Proc. of the ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec 2014).
• Rahbari, H., Krunz, M., & Lazos, L. (2014, April). Security vulnerability and countermeasures of frequency offset correction in 802.11a systems. In Proc. of the IEEE INFOCOM 2014 Conference.
• Nayeri, M., Krunz, M. M., & Deller, J. R. (1992). Convergence and colored noise issues in bounding ellipsoid identification. In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 5, 337-340.
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  The convergence and bias properties of a general class of optimal bounding ellipsoid (OBE) algorithms are discussed. OBE algorithms are set-membership (SM) based identification algorithms which are applied to models which are linear-in-parameters, and are closely related to weighted recursive least square error (WRLS) methods. >

Presentations

• Krunz, M. M. (2021, December). Machine learning classification of RF signals over congested and contested spectrum: Algorithms and experimentation. Presentation given to industry and defense agencies. Rincon Research, Tucson, Arizona.
• Krunz, M. M. (2021, February). Directional self-organizing radio-clustering system for secure tactical communications (DORSET). Presentation given to industry and defense agencies. Rincon Research, Tucson, Arizona.
• Krunz, M. M. (2021, November). Role of AI in signal and modulation classification. Presentation given to industry and defense agencies. Raytheon Technologies - Center for Artificial Intelligence and Machine Learning, Tucson, Arizona.
• Krunz, M. M. (2021, October). Wireless security for next-generation communications systems. Presentations Given to Industry and Defense Agencies. Threat Systems Management Office (TSMO).
• Krunz, M. M. (2021, September). 5G mmWave repeaters. Presentations Given to Industry and Defense AgenciesInternational Wireless Industry Consortium (IWPC).
• Krunz, M. M., & Abyaneh, A. Y. (2021, June). RFI mitigation and coexistence of Wi-Fi and passive radio astronomy (RA) telescopes. NSF BWAC Meeting.
• Krunz, M. M., & Zhang, W. (2021, November). Analysis and countermeasures of Wi-Fi preamble injection and spoofing attacks. NSF BWAC Meeting.
• Krunz, M. M., & Abyaneh, A. Y. (2020, November). Mechanisms for fair channel access and aggressive behavior detection in Wi-Fi networks. NSF BWAC Meeting.
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  Best poster award
• Krunz, M. M., & Zhang, Z. (2021, November). eP-Mod: Embedding user-defined application information in the preamble of MIMO-based WLANs. NSF BWAC Meeting.
• Krunz, M. M. (2019, September). Application of machine learning for wireless coexistence over unlicensed bands. Presentations Given to Industry and Defense Agencies. CableLabs, Louisville, Colorado.
• Krunz, M. M., Aykin, I., Akgun, B., & Feng, M. (2019, November). Beam finding and tracking for blockage-resistant mobile 5G millimeter-wave systems. NSF BWAC Meeting.
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  2nd best poster award
• Krunz, M. M., Feng, M., Akgun, B., & Aykin, I. (2019, May). Adaptive beamwidth design for initial access in New Radio-based millimeter- wave cellular networks. NSF BWAC Meeting.
• Krunz, M. M. (2015, April). Node discovery and rendezvous protocols for coexisting secondary networks in heterogeneous DSA systems. NSF BWAC Meeting. Univ. of Notre Dame: NSF.
• Krunz, M. M. (2015, September). Keynote Speech: Exploiting Full Duplex Communications in Opportunistic Access Systems. International Symposium on Ubiquitous Networking (UNet 2015) Casalanca, Morocco, Sep. 2015. Casalanca, Morocco: IFIP.
• Krunz, M. M. (2014, May). Overview of UA-site BWAC research projects. NSF BWAC Meeting. Virginia Tech., Blacksburg, VA: NSF.

Poster Presentations

• Krunz, M. M., & Sarkar, S. (2021, November). Restless multi-armed bandit for beam tracking and rate adaptation in mobile millimeter-wave systems (with S. Sarkar, best poster award). NSF BWAC Meeting.
• Afifi, W., & Krunz, M. (2016, March). Enabling media streaming over LTE-U small cells (best poster award). NSF BWAC Semi-annual Meeting. Tucson, AZ: NSF.
• Akgun, B., Koyluoglu, O. O., & Krunz, M. (2016, March). Exploiting full-duplex receivers for achieving secret communications in multiuser MIMO systems. NSF BWAC Meeting. Tucson, AZ: NSF.
• Hirzallah, M., Afifi, W., & Krunz, M. (2016, March). Spectrum sensing and interference mitigation for LTE/WiFi coexistence. NSF BWAC Meeting. Tucson, AZ: NSF.
• Xiao, Y., & Krunz, M. (2016, November). Inter-operator carrier aggregation for next-generation wireless networks. NSF BWAC MeetingNSF.
• Afifi, W., & Krunz, M. (2015, April). Opportunistic spectrum access systems with self-interference suppression capabilities. NSF BWAC Meeting, Univ. of Notre Dame. Notre Dame, IN: NSF.
• Aykin, I., Abdel-Rahman, M., & Krunz, M. (2015, November). Proactive sensing and interference mitigation for satellite communications using dynamic frequency hopping. NSF BWAC Meeting, Univ. of Mississippi, Oxford. Oxford, MS: NSF.
• Xiao, Y., & Krunz, M. (2015, January). Leakage of communications signatures: Analysis of eavesdropping attacks and proactive countermeasures. NSF SaTC PI Meeting. Washington, DC: NSF.
• Krunz, M. (2014, January). Exploiting full-duplex radio capabilities in opportunistic communications. NSF BWAC Meeting. Charlottesville, VA: NSF.
• Rahbari, H., & Krunz, M. (2014, May). Energy-efficient jamming attacks on channel and frequency offset estimation in wireless systems. NSF BWAC Meeting. Blacksburg, VA: NSF.

Others

• Cardona Jr, ,. S., Patrick, K. W., Blumke, J., Cardero, S., Ehrichs, K. G., Frey, S. F., Subiti, T. G., Krunz, M. M., & Cardona, M. E. (2020). 3D} 360 degree omnidirectional {MIMO.
• Krunz, M. M., & Ahmed, W. (2020). Method for improving spectrum sensing and efficiency in cognitive wireless systems.
• Krunz, M. M., & Rahbari, H. (2020). A method for exploiting preamble waveforms to support device and network functionalities in wireless systems.
• Krunz, M. M., Akgun, B., Siyari, P., Rahbari, H., Eletreby, R. M., & Koyluoglu, O. O. (2019). Systems and methods for securing wireless communications.
• Krunz, M. M. (2018, November). Massive MIMO will create more wireless channels, but also more vulnerabilities. IEEE Spectrum.
• Krunz, M. M. (2018, Spring). P-modulation. IEEE Communications Society (ComSoc).
  More info

  IEEE Communications Society (ComSoc) selected our work on P-modulation as aTech Focus paper in Prototyping Wireless Networks (2018).
• Krunz, M. M. (2018, Spring). “Massive MIMO will create more wireless channels, but also more vulnerabilities”. IEEE Spectrum.
  More info

  IEEE Spectrum wrote a news piece on our research on pilot contamination attack,(entitled: “Massive MIMO will create more wireless channels, but also morevulnerabilities”).