Project Description

Enabling Secure, Energy-Efficient, and Smart In-Band Full Duplex Wireless

In-band full-duplex (IBFD) wireless communication technique has tremendous potentials in spectral efficiency because of its simultaneous transmission and reception of information. This research tackles three major challenges and problems to enable secure, spectrum-efficient, and energy-efficient IBFD wireless communication systems.

Sept. 1, 2019 ~ Aug. 31, 2024

Project Team

• Shiwen Mao

• Shaoen Wu

• Jian Ren

• Ticao Zhang

Related Publications (journal & magazine)

• Y. Qiao, Y. Niu, B. Ai, Z. Han, S. Mao, R. He, N. Wang, and Z. Zhong, “Joint optimization of resource allocation and user association in multi-frequency cellular networks assisted by RIS,” IEEE Transactions on Vehicular Technology, vol.73, no.1, pp.826-842, Jan. 2024. DOI: 10.1109/TVT.2023.3306340.

• T. Zhang and S. Mao, “Joint beamforming design in intelligent reflecting surface-assisted rate splitting networks,” IEEE Transactions on Wireless Communications, vol.23, no.1, pp.263-275, Jan. 2024. DOI: 10.1109/TWC.2023.3277334.

• Y. Chen, Z. Chang, G. Min, S. Mao, and T. Hamalainen, “Joint optimization of sensing and computation for status update in mobile edge computing systems,” IEEE Transactions on Wireless Communications, vol.22, no.11, pp.8230-8243, Nov. 2023.

• P. Tang, Y. Dong, S. Mao, H. Wei, and J. Jin, “Online classification of network traffic based on granular computing,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol.53, no.8, pp.5199-5211, Aug. 2023. DOI: 10.1109/TSMC.2023.3259543.

• L. Wang, B. Ai, Y. Niu, Z. Zhong, S. Mao, N. Wang, and Z. Han, “Energy-efficient train-ground mmWave mobile relay system for high speed railways,” IEEE Transactions on Green Communications and Networking, vol.7, no.1, pp.16-28, Mar. 2023. DOI: 10.1109/TGCN.2022.3194036.

• Y. Sun, S. Chen, Z. Wang, and S. Mao, “A joint learning and game-theoretic approach to multi-dimensional resource management in fog radio access networks,” IEEE Transactions on Vehicular Technology, vol.72, no.2, pp.2550-2563, Feb. 2023. DOI: 10.1109/TVT.2022.3214075.

• W. Zhang, W. Fan, G. Zhang, and S. Mao, “Learning-based joint service caching and load balancing for MEC blockchain networks,” IEEE/CIC China Communications, vol.20, no.1, pp.125-139, Jan. 2023. DOI: 10.23919/JCC.2023.01.011. (Featured Cover Article)

• L. Li, Y. Niu, S. Mao, B. Ai, Z. Zhong, N. Wang, and Y. Chen, “Resource allocation and computation offloading in a millimeter-wave train-ground network,” IEEE Transactions on Vehicular Technology, vol.71, no.10, pp.10615-10630, Oct. 2022. DOI: 10.1109/TVT.2022.3185331.

• Y. Wang, H. Wu, Y. Niu, J. Ding, S. Mao, B. Ai, Z. Zhong, and N. Wang, “Triple-band scheduling with millimeter wave and Terahertz bands for wireless backhaul,” IEEE/KICS Journal of Communications and Networks, vol.24, no.4, pp.438-450, Aug. 2022. DOI: 10.23919/JCN.2022.000022.

• Y. Wang, H. Wu, Y. Niu, and S. Mao, “Scheduling of UAV-assisted millimeter wave communications for high-speed railway,” IEEE Transactions on Vehicular Technology, vol.71, no.8, pp.8756-8767, Aug. 2022. DOI: 10.1109/TVT.2022.3176855.

• Y. Liu, Z. Chang, G. Min, and S. Mao, “Average age of information in wireless powered mobile edge computing system,” IEEE Wireless Communications Letters, vol.11, no.8, pp.1585-1589, Aug. 2022. DOI: DOI: 10.1109/LWC.2022.3166562.

• M. Feng, S. Mao, and T. Jiang, “Dealing with link blockage in mmWave networks: A combination of D2D relaying, multi-beam reflection, and handover,” IEEE Transactions on Wireless Communications, vol.21, no.8, pp.6746-6759, Aug. 2022. DOI: 10.1109/TWC.2022.3152472.

• W. Zhang, X. Yang, C. Leng, J. Wang, and S. Mao, “Modulation recognition of under-water acoustic signals using deep hybrid neural networks,” IEEE Transactions on Wireless Communications, vol.21, no.8, pp.5977-5988, Aug. 2022. DOI: 10.1109/TWC.2022.3144608.

• S. Yang, S. Mao, and B. Tan, “Closed-form solution for max-min fairness problem in non-orthogonal multiple access systems,” Elsevier International Journal of Cognitive Computing in Engineering, vol.2, pp.191-195, June 2022. DOI: 10.1016/j.ijcce.2021.11.001.

• T. Zhang and S. Mao, “Energy-efficient federated learning with intelligent reflecting surface,” IEEE Transactions on Green Communications and Networking, Special Issue on Energy-Efficient Reconfigurable Wireless Communication & Networks, vol.6, no.2, pp.845-858, June 2022. DOI: 10.1109/TGCN.2021.3126795.

• Y. Li, H. Ma, L. Wang, and S. Mao, “Optimized content caching and user association for edge computing in densely deployed heterogeneous networks,” IEEE Transactions on Mobile Computing, vol.21, no.6, pp.2130-2142, June 2022. DOI: 10.1109/TMC.2020.3033563.

• W. Zhang, G. Zhang, and S. Mao, “Joint parallel offloading and load balancing for cooperative-MEC systems with delay constraints,” IEEE Transactions on Vehicular Technology, vol.71, no.4, pp. 4249-4263, Apr. 2022. DOI: 10.1109/TVT.2022.3143425.

• J. Dai, G. Yue, S. Mao, and D. Liu, “Sidelink-aided multi-quality tiled 360° virtual reality video multicast,” IEEE Internet of Things Journal, vol.9, no.6, pp.4584-4597, Mar. 2022. DOI: 10.1109/JIOT.2021.3105100.

• C. Chen, Y. Niu, S. Mao, X. Zhang, Z. Han, B. Ai, M. Gao, H. Xiao, and N. Wang, “Coalition game based user association for mmWave mobile relay systems in rail traffic scenarios,” IEEE Transactions on Vehicular Technology, vol.70, no.10, pp.10528-10540, Oct. 2021. DOI: 10.1109/TVT.2021.3109245.

• S. Xia, Z. Yao, Y. Li, and S. Mao, “Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT,” IEEE Transactions on Wireless Communications, vol.20, no.10, pp. 6743-6757, Oct. 2021. DOI: 10.1109/TWC.2021.3076201.

• P. Tang, Y. Dong, Y. Chen, S. Mao, and S. Halgamuge, “QoE-aware traffic aggregation using preference logic for edge intelligence,” IEEE Transactions on Wireless Communications, vol.20, no.9, pp.6093-6106, Sept. 2021. DOI: 10.1109/TWC.2021.3071745.

• X. Zhang, Y. Niu, S. Mao, Y. Cai, R. He, B. Ai, Z. Zhong, and Y. Liu, “Resource allocation for millimeter-wave train-ground communications in high-speed railway scenarios,” IEEE Transactions on Vehicular Technology, vol.70, no.5, pp.4823-4838, May 2021. DOI: 10.1109/TVT.2021.3075214.

• Y. Wang, T. Zhang, S. Mao, T. (Ted) S. Rappaport, “Directional neighbor discovery in mmWave wireless networks,” invited paper, Elsevier/KeAi Digital Communications and Networks Journal, vol.7, no.1, pp.1-16, Feb. 2021. DOI: 10.1016/j.dcan.2020.09.005.

• C. Yang, X. Wang, and S. Mao, “Respiration monitoring with RFID in driving environments,” IEEE Journal on Selected Areas in Communications, Special Issue on Internet of Things for In-Home Health Monitoring, vol.39, no.2, pp.500-512, Feb. 2021. DOI: 10.1109/JSAC.2020.3020606. (Best Journal Award, IEEE Communications Society eHealth Technical Committee, Dec. 2022)

• P. Tang, Y. Dong, J. Jin, and S. Mao, “Fine-grained classification of Internet video traffic from QoS perspective using fractal spectrum,” IEEE Transactions on Multimedia, vol.22, no.10, pp. 2579-2596, Oct. 2020. DOI: 10.1109/TMM.2019.2958764. (Recommended Readings of China Computer Federation (CCF) Technical Committee on Multimedia Technology (TCMT), vol. 9, Oct. 2020)

• T. Zhang and S. Mao, “Joint video caching and processing for multi-bitrate videos in ultra-dense Het-Nets,” IEEE Open Journal of the Communications Society (OJ-COM), Special Issue on Edge Intelligence for Immersive Communications, vol.1, pp.1230-1243, Aug. 2020. DOI: 10.1109/OJCOMS.2020.3018681.

• H. Jiang, Y. Niu, B. Ai, Z. Zhong, and S. Mao, “QoS-aware bandwidth allocation and concurrent scheduling for Terahertz wireless backhaul networks,” IEEE Access Journal, vol.8, no.1, pp.125814-125825, July 2020. DOI: 10.1109/ACCESS.2020.3007865.

• T. Zhang and S. Mao, “Machine learning for end-to-end congestion control,” IEEE Communications Magazine, Data Science and Artificial Intelligence for Communications Series, vol.58, no.6, pp.52-57, June 2020. DOI: 10.1109/MCOM.001.1900509.

• W. O’Quinn* and S. Mao, “Quantum machine learning: Recent advances and outlook,” IEEE Wireless Communications, vol.27, no.3, pp.126-131, June 2020. DOI: 10.1109/MWC.001.1900341.

• Y. Li, R. Zhu, S. Mao, and A. Anjum, “Fog computing-based approximate spatial keyword queries with numeric attributes in IoV,” IEEE Internet of Things Journal, vol.7, no.5, pp. 4304-4316, May 2020. DOI: 10.1109/JIOT.2020.2965730

• T. Zhang and S. Mao, “Energy-efficient power control in wireless networks with spatial deep neural networks,” IEEE Transactions on Cognitive Communications and Networking, Special Issue on Evolution of Cognitive Radio to AI-enabled Radio and Networks, vol.6, no.1, pp.111-124, Mar. 2020. DOI: 10.1109/TCCN.2019.2945774.

• T. Zhang and S. Mao, “Smart power control for quality-driven multi-user video transmissions: A deep reinforcement learning approach,” IEEE Access Journal, Special Section on Mobile Multimedia: Methodology and Applications, vol.8, no.1, pp.611-622, Jan. 2020. (Featured as IEEE Access’s Article of the Week, Apr. 2020) DOI: 10.1109/ACCESS.2019.2961914.

• J. Li, Y. Niu, H. Wu, B. Ai, Z. Zhong, and S. Mao, “Energy-efficient full-duplex concurrent scheduling based on contention graph in mmWave backhaul networks,” IEEE Access Journal, Special Section: Millimeter-Wave Communications: New Research Trends and Challenges, vol.7, no.1, pp.178007-178019, Dec. 2019. DOI: 10.1109/ACCESS.2019.2958347.

• T. Zhang and S. Mao, “Joint power and channel resource optimization in soft multi-view video delivery,” IEEE Access Journal, Special Section on Mobile Multimedia: Methodology and Applications, vol.7, no.1, pp.148084-148097, Dec. 2019. DOI: 10.1109/ACCESS.2019.2946607.

• Y. Sun, M. Peng, Y. Zhou, Y. Huang, and S. Mao, “Application of machine learning in wireless networks: Key technologies and open issues,” IEEE Communications Surveys and Tutorials, vol.21, no.4, pp. 3072-3108, Fourth Quarter 2019. DOI: 10.1109/COMST.2019.2924243.

• Y. Sun, M. Peng, and S. Mao, “A game-theoretic approach to cache and radio resource management in fog radio access networks,” IEEE Transactions on Vehicular Technology, vol.68, no.10, pp.10145-10159, Oct. 2019. DOI: 10.1109/TVT.2019.2935098.

• T. Zhang and S. Mao, “Metadata-reduction for soft video delivery,” IEEE Networking Letters, vol.1, no.2, pp.84-88, June 2019. DOI: 10.1109/LNET.2019.2912831.

• T. Zhang and S. Mao, “Cooperative caching for scalable video transmissions over heterogeneous networks,” IEEE Networking Letters, vol.1, no.2, pp.63-67, June 2019. DOI: 10.1109/LNET.2019.2911972.

• M. Feng, S. Mao, and T. Jiang, “Dynamic base station sleep control and RF chain activation for energy efficient millimeter wave cellular systems,” IEEE Transactions on Vehicular Technology, vol.67, no.10, pp.9911-9921, Oct. 2018. DOI: 10.1109/TVT.2018.2861899.

• Z. Jiang and S. Mao, “Energy delay trade-off in multi-channel full-duplex wireless LANs,” IEEE Internet of Things Journal, vol.4, no.3, pp.658-669, June 2017. DOI: 10.1109/JIOT.2016.2638851.

• Y. Wang and S. Mao, “On distributed power control in full duplex wireless networks,” Elsevier Digital Communications and Networks Journal, vol.3, no.1, pp.1-10, Feb. 2017. DOI: 10.1016/j.dcan.2016.10.004.

• N. Tang, S. Mao, and S. Kompella, “Power control in full duplex underlay cognitive radio networks,” Elsevier Ad Hoc Networks Journal, vol.37, no.2, pp.183-194, Feb. 2016. DOI: 10.1016/j.adhoc.2015.08.018.

• M. Feng, S. Mao, and T. Jiang, “Joint duplex mode selection, channel allocation, and power control for full-duplex cognitive femtocell networks,” Elsevier Digital Communications and Networks Journal, vol.1, no.1, pp.30-44, Feb. 2015. DOI: 10.1016/j.dcan.2015.01.002.

• D. Hu, S. Mao, N. Billor, and P. Agrawal, “On the trade-off between energy efficiency and estimation error in compressive sensing,” Elsevier Ad Hoc Networks Journal, vol.11, no.6, pp.1848-1857, Aug. 2013. DOI: 10.1016/j.adhoc.2013.04.008.

Related Publications (conference)

• X. Chen, C. Wu, Z. Zhao, Y. Xiao, S. Mao, Y. Ji, “Hierarchical meta-reinforcement learning for resource-efficiency slicing in O-RAN,” in Proc. IEEE GLOBECOM 2023, Kuala Lumpur, Malaysia, Dec. 2023, pp.2729-2735.

• Y. Wu, J. Zhang, S. Wu, S. Mao, and Y. Wang, “CMRM: A cross-modal reasoning model to enable zero-shot imitation learning for robotic RFID inventory in unstructured environments,” in Proc. IEEE GLOBECOM 2023, Kuala Lumpur, Malaysia, Dec. 2023, pp.5354-5359. (Best Paper Award of IEEE GLOBECOM 2023)

• R. Boutahala, H. Fouchal, M. Ayaida, and S. Mao, “Trust verification in connected vehicles using unsupervised variational autoencoder,” in Proc 2023 IEEE Latin-American Conference on Communications (LATINCOM), Panama City, Panama, Nov. 2023.

• X. Li, M. Chen, Z. Zhang, D. Liu, Y. Liu, and S. Mao, “Joint optimization of sensing and communications in vehicular networks: A graph neural network based approach,” in Proc. IEEE ICC 2023, Rome, Italy, May/June 2023, pp.5781-5786.

• J. Zhu, R. Li, X. Chen, S. Mao, J. Wu, and Z. Zhao, “Semantics-enhanced temporal graph networks for content caching and energy saving,” in Proc. IEEE ICC 2023, Rome, Italy, May/June 2023, pp.1747-1742.

• R. Boutahala, H. Fouchal, M Ayaida, and S. Mao, “Light and efficient authentication mechanism for connected vehicles using unsupervised detection,” in Proc. IEEE ICC 2023, Rome, Italy, May/June 2023, pp.329-333.

• W. Ci, C. Qi, G. Ye Li, and S. Mao “Hybrid beamforming design for covert multicast mmWave massive MIMO communications,” in Proc. IEEE GLOBECOM 2021, Madrid, Spain, Dec. 2021.

• Z. Wang, W. Guo, L. Zhao, W. Yang, S. Mao, and Z. Li, “A QoE evaluation and adaptation method for multi-player online games,” in Proc. EAI MobiMedia 2021, Guiyang, China, July 2021.

• X. Wang, M. Patil, C. Yang, S. Mao, P.A. Patel, “Deep Convolutional Gaussian Processes for mmWave Outdoor Localization,” invited paper, in Proc. IEEE ICASSP 2021, Special Session on Contactless and Wireless Sensing for Smart Environments, Toronto, Canada, June 2021

• T. Zhang and S. Mao, “Beamforming design for rate splitting MIMO,” in Proc. IEEE ICC WORKSHOPS 2021, Workshop on Rate-Splitting (Multiple Access) for 6G, Montreal, Canada, June 2021.

• W. O’Quinn and S. Mao, “Solving the minimum spanning tree problem with a quantum annealer,” in Proc. 2020 IEEE Globecom Workshops (GC Wkshps): IEEE GLOBECOM 2020 Workshop on Quantum Communications and Information Technology, Taipei, Taiwan, Dec. 2020.

• T. Zhang, S. Shen, S. Mao, and G.-K. Chang, “Delay-aware cellular traffic scheduling with deep reinforcement learning,” in Proc. IEEE GLOBECOM 2020, Taipei, Taiwan, Dec. 2020.

• M. Patel, X. Wang, and S. Mao, “Data augmentation with Conditional GAN for automatic modulation classification,” in Proc. ACM Workshop on Wireless Security and Machine Learning (WiseML 2020), in conjunction with the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec 2020), Linz, Austria, July 2020, pp.1-6.

• K. Wang, W. Zhou, and S. Mao, “Energy efficient joint resource scheduling for delay-aware traffic in Cloud-RAN,” in Proc. IEEE GLOBECOM 2016, Washington DC, Dec. 2016, pp.1-6.

• M. Feng, S. Mao, and T. Jiang, “BOOST: Base station on-off switching strategy for energy efficient massive MIMO HetNets,” in Proc. IEEE INFOCOM 2016, San Francisco, CA, Apr. 2016, pp.1395-1403.

• Z. Jiang and S. Mao, “Energy delay trade-off in cloud offloading for multi-core mobile devices,” in Proc. IEEE GLOBECOM 2015, San Diego, CA, Dec. 2015, pp.1-6.

• Z. Jiang and S. Mao, “Online channel assignment, transmission scheduling, and transmission mode selection in multi-channel full-duplex wireless LANs,” in Proc. The 10th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2015), LNCS 9204, K. Xu and J. Zhu (Eds.), Qufu, P.R. China, Aug. 2015, pp.243-252. DOI: 10.1007/978-3-319-21837-3_24.

• Y. Wang and S. Mao, “Distributed power control in full duplex wireless networks,” in Proc. IEEE WCNC 2015, New Orleans, LA, Mar. 2015, pp.1165-1170. (The IEEE WCNC 2015 Best Paper Award)

• M. Feng, S. Mao, and T. Jiang, “Duplex mode selection and channel allocation for full-duplex cognitive femtocell networks,” in Proc. IEEE WCNC 2015, New Orleans, LA, Mar. 2015, pp.1900-1905.

• N. Tang, S. Mao, and S. Kompella, “Power control in full duplex underlay cognitive radio networks: A control theoretic approach,” in Proc. IEEE MILCOM 2014, Baltimore, MA, Oct. 2014, pp.949-954.

• D. Hu, S. Mao, and N. Billor, “On balancing energy efficiency and estimation error in compressed sensing,” in Proc. IEEE GLOBECOM 2012, pp.4278-4283, Anaheim, CA, December 2012.

Related Publications (others)

• T. Zhang and S. Mao, “Massive MIMO,” Wiley 5G Ref, R. Tafazolli, C.-L. Wang, P. Chatzimisios (editors), Hobo-ken, NJ: Wiley & Sons, 2019. ISBN: 9781119471509. DOI: 10.1002/9781119471509.w5GRef073.

We acknowledge the generous support from our sponsor

• National Science Foundation

This work is supported in part by the U.S. National Science Foundation (NSF) under Grant ECCS-1923717. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the foundation.