Dissemination

For dissemination of results, research outcomes of SEEDS will be published in international conferences, magazines and peer-reviewed journals with high-impact factor.

List of Publications

Journal papers

  • W. Huang, K. Wang, Y. Lin and Z. Ding, "Energy Efficiency in Hybrid NOMA-MEC Networks," in IEEE Transactions on Wireless Communications, 2025. https://ieeexplore.ieee.org/document/10683006
  • K. Wang, Z. Ding and R. Schober, "Antenna Activation for NOMA Assisted Pinching-Antenna Systems," in IEEE Wireless Communications Letters, 2025. https://arxiv.org/abs/2412.13969
  • Z. Ding, "A Study on the Optimality of Downlink Hybrid NOMA," in IEEE Signal Processing Letters, vol. 32, pp. 511-515, 2025. https://ieeexplore.ieee.org/document/10824682
  • Z. Ding and H. Vincent Poor, "Hybrid NOMA Assisted OFDMA Uplink Transmission," in IEEE Transactions on Wireless Communications, 2024.https://arxiv.org/abs/2407.03899
  • Z. Ding, R. Schober and H. Vincent Poor, "Design of Downlink Hybrid NOMA Transmission," in IEEE Transactions on Wireless Communications, vol. 23, no. 12, pp. 19587-19602, Dec. 2024. https://arxiv.org/abs/2401.16965
  • Y. Liu, C. Ouyang, Z. Ding and R. Schober, "The Road to Next-Generation Multiple Access: A 50-Year Tutorial Review," in Proceedings of the IEEE, vol. 112, no. 9, pp. 1100-1148, Sept. 2024. https://arxiv.org/html/2403.00189v2
  • Z. Ding, R. Schober, P. Fan and H. Vincent Poor, "Next generation multiple access for IMT towards 2030 and beyond,” Science China Information Sciences 67.6 (2024): 166301. https://arxiv.org/abs/2404.04012
  • K. Wang, Z. Ding, D. K. C. So and Z. Ding, "Exploring Age-of-Information Weighting in Federated Learning under Data Heterogeneity," in IEEE Transactions on Wireless Communications, 2025. https://research.manchester.ac.uk/en/publications/age-of-information-minimization-in-federated-learning-based-netwo-2
  • Y. Lin, K. Wang and Z. Ding, "Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks," in IEEE Transactions on Wireless Communications, vol. 23, no. 11, pp. 16875-16890, Nov. 2024. https://arxiv.org/pdf/2403.03157
  • K. Wang, Z. Ding and G. K. Karagiannidis, "User Clustering for Coexistence Between Near-Field and Far-Field Communications," in IEEE Communications Letters, vol. 28, no. 10, pp. 2442-2446, Oct. 2024. https://arxiv.org/pdf/2310.15707
  • S. Jiao, X. Xie, K. Wang and Z. Ding, "A BAC-NOMA Design for 6G umMTC With Hybrid SIC: Convex Optimization or Learning-Based?," in IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 10390-10404, July 2024. https://research.manchester.ac.uk/en/publications/a-bac-noma-design-for-6g-ummtc-with-hybrid-sic-convex-optimizatio
  • Z. Ding and H. Vincent Poor, "Utilizing Imperfect Resolution of Near-Field Beamforming: A Hybrid-NOMA Perspective," in IEEE Communications Letters, vol. 28, no. 7, pp. 1718-1722, July 2024. https://arxiv.org/abs/2311.02451
  • A. Ibraheem, Z. Sheng and G. Parisis, “On the Optimal Design of Fully Identifiable Next-Generation In-Vehicle networks”, Computer Communications, 2024, accepted. https://sussex.figshare.com/articles/journal_contribution/On_the_optimal_design_of_fully_identifiable_next-generation_in-vehicle_networks/26492389?file=48169861
  • M. Cui, D. Hana, H. Liub, K. Lic, M. Tangd, C. Change, F. Ayaz, Z. Sheng, Y. Guan, " Secure Data Sharing for Consortium Blockchain-Enabled Vehicular Social Networks", IEEE transactions on vehicular technology, 2024, accepted. https://ieeexplore.ieee.org/document/10643707
  • Sousa, B., Magaia, N., Silva, S., Hieu Thanh, N. & Guan Yong, L. Vehicle-to-vehicle flooding datasets, https://doi.org/10.5281/zenodo.13220637  (2024).321
  • P. Álvares; L. Silva; N. Magaia,  “Blockchain-Based Solutions for UAV-Assisted Connected Vehicle Networks in Smart Cities: A Review, Open Issues, and Future Perspectives”, Telecom 2021, 2, 108-140,  https://doi.org/10.3390/telecom2010008
  • C. Silva, N. Magaia, and A. Grilo. "Task Offloading Optimization in Mobile Edge Computing based on Deep Reinforcement Learning." Proceedings of the Int'l ACM Conference on Modelling Analysis and Simulation of Wireless and Mobile Systems. 2023. https://dx.doi.org/10.1145/3616388.3617539
  • K. Muhammad, J. Del Ser; N. Magaia, et al., "Communication Technologies for Edge Learning and Inference: A Novel Framework, Open Issues, and Perspectives," in IEEE Network, vol. 37, no. 2, pp. 246-252, March/April 2023, https://doi.org/10.1109/MNET.125.2100771.
  • Z. Ding, "Harvesting Devices’ Heterogeneous Energy Profiles and QoS Requirements in IoT: WPT-NOMA vs BAC-NOMA," in IEEE Transactions on. Communications, vol. 69, no. 5, pp. 2837-2850, May 2021, doi: 10.1109/TCOMM.2021.3052948. https://doi.org/10.5281/zenodo.5792335
  • Z. Ding, R. Schober and H. V. Poor, "Unveiling the Importance of SIC in NOMA Systems—Part 1: State of the Art and Recent Findings," in IEEE. Communications Letters, vol. 24, no. 11, pp. 2373-2377, Nov. 2020, doi: 10.1109/LCOMM.2020.3012604. https://doi.org/10.5281/zenodo.5791513
  • Z. Ding, R. Schober and H. V. Poor, "Unveiling the Importance of SIC in NOMA Systems—Part II: New Results and Future Directions," in IEEE Communications Letters, vol. 24, no. 11, pp. 2378-2382, Nov. 2020, doi: 10.1109/LCOMM.2020.3012601. https://doi.org/10.5281/zenodo.5791527
  • Z. Ding, R. Schober and H. V. Poor, "A New QoS-Guarantee Strategy for NOMA Assisted Semi-Grant-Free Transmission," in IEEE Transactions on. Communications, vol. 69, no. 11, pp. 7489-7503, Nov. 2021, doi: 10.1109/TCOMM.2021.3100598. https://doi.org/10.5281/zenodo.5791531
  • D. K. Patel et al., "Performance Analysis of NOMA in Vehicular Communications Over i.n.i.d Nakagami-m Fading Channels," in IEEE Transactions on Wireless Communications, vol. 20, no. 10, pp. 6254-6268, Oct. 2021, doi: 10.1109/TWC.2021.3073050. https://doi.org/10.5281/zenodo.5791534.
  • S. Kavaiya, D. K. Patel, Z. Ding, Y. L. Guan and S. Sun, "Physical Layer Security in Cognitive Vehicular Networks," in IEEE Transactions on Communications, vol. 69, no. 4, pp. 2557-2569, April 2021, doi: 10.1109/TCOMM.2020.3038904. https://doi.org/10.5281/zenodo.5791538.

  • T. Wang, F. FANG, Z. Ding, " An SCA and Relaxation Based Energy Efficiency Optimization for Multi-User RIS-Assisted NOMA Networks". https://doi.org/10.5281/zenodo.5792689

  • Z. Ding and H. V. Poor, "Design of THz-NOMA in the Presence of Beam Misalignment," in IEEE Communications Letters, vol. 26, no. 7, pp. 1678-1682, July 2022, doi: 10.1109/LCOMM.2022.3171439.https://doi.org/10.5281/zenodo.7234348.

  • Z. Ding, "NOMA Beamforming in SDMA Networks: Riding on Existing Beams or Forming New Ones?," in IEEE Communications Letters, vol. 26, no. 4, pp. 868-871, April 2022, doi: 10.1109/LCOMM.2022.3146583. https://doi.org/10.5281/zenodo.7234392

  • Z. Ding, "Potentials and Limits of Using Preconfigured Spatial Beams as Bandwidth Resources: Beam Selection vs Beam Aggregation," in IEEE Wireless Communications Letters, 2022, doi: 10.1109/LWC.2022.3209609. https://doi.org/10.5281/zenodo.7234476

  • Z. Ding, D. Xu, R. Schober and H. V. Poor, "Hybrid NOMA Offloading in Multi-User MEC Networks," in IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 5377-5391, July 2022, doi: 10.1109/TWC.2021.3139932. https://doi.org/10.5281/zenodo.7234536

  • Z. Ding et al., "A State-of-the-Art Survey on Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access Networks," in Proceedings of the IEEE, vol. 110, no. 9, pp. 1358-1379, Sept. 2022, doi: 10.1109/JPROC.2022.3174140. https://doi.org/10.5281/zenodo.7234583

  • K. Wang, H. Li, Z. Ding and P. Xiao, "Reinforcement Learning based Latency Minimization in Secure NOMA-MEC Systems with Hybrid SIC," in IEEE Transactions on Wireless Communications, 2022, doi: 10.1109/TWC.2022.3194685. https://doi.org/10.5281/zenodo.7234675 

  • M. B. Goktas and Z. Ding, "A Wireless Power Transfer Assisted NOMA Transmission Scheme for 5G and Beyond mMTC," in IEEE Wireless Communications Letters, vol. 11, no. 6, pp. 1239-1242, June 2022, doi: 10.1109/LWC.2022.3162411. https://doi.org/10.5281/zenodo.7235954

  • Z. Ding, "Potentials and Limits of Using Preconfigured Spatial Beams as Bandwidth Resources: Beam Selection Versus Beam Aggregation," in IEEE Wireless Communications Letters, vol. 11, no. 12, pp. 2575-2579, Dec. 2022, doi: 10.1109/LWC.2022.3209609.https://doi.org/10.5281/zenodo.7730432
  • T. Wang, F. Fang and Z. Ding, "Joint Phase Shift and Beamforming Design in a Multi-User MISO STAR-RIS Assisted Downlink NOMA Network," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2023.3248789.https://doi.org/10.5281/zenodo.7730400
  • F. Fang, B. Wu, S. Fu, Z. Ding and X. Wang, "Energy-Efficient Design of STAR-RIS Aided MIMO-NOMA Networks," in IEEE Transactions on Communications, vol. 71, no. 1, pp. 498-511, Jan. 2023, doi: 10.1109/TCOMM.2022.3223706. https://doi.org/10.5281/zenodo.7730461
  • F. Ayaz, Z. Sheng, D. Tian and Y. L. Guan, "A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks," IEEE Transactions on Vehicular Technology, Early Access, Dec. 2021, doi: 10.1109/TVT.2021.3132226.
  • Álvares, P.; Silva, L.; Magaia, N. Blockchain-Based Solutions for UAV-Assisted Connected Vehicle Networks in Smart Cities: A Review, Open Issues, and Future Perspectives. Telecom 2021, 2, 108-140. https://doi.org/10.3390/telecom2010008.
  • F. Ayaz, Z. Sheng, D. Tian and Y. L. Guan, "A Proof-of-Quality-Factor (PoQF)-Based Blockchain and Edge Computing for Vehicular Message Dissemination," IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2468-2482, 15 Feb.15, 2021, doi: 10.1109/JIOT.2020.3026731.
  • P. Lang, D. Tian, X. Duan, J. Zhou, Z. Sheng and V. C. M. Leung, "Cooperative Computation Offloading in Blockchain-Based Vehicular Edge Computing Networks," in IEEE Transactions on Intelligent Vehicles, vol. 7, no. 3, pp. 783-798, Sept. 2022, doi: 10.1109/TIV.2022.3190308.
  • Ayaz, F.; Sheng, Z.; Tian, D.; Nekovee, M.; Saeed, N. Blockchain-Empowered AI for 6G-Enabled Internet of Vehicles. Electronics 2022, 11, 3339. https://doi.org/10.3390/electronics11203339 

Conference papers

  • N. Magaia, F. Sousa, B. Sousa, P. R. Pereira, “Cooperation Enforcement Leveraging Evolutionary Game Theory for Vehicular Networks”, IEEE VTC 2025, accepted.
  • B. Sousa, N. Magaia, S. Silva, N. Hieu, G. Yong Liang, “Jamming attack on DSRC communication caused by a C-V2X sidelink device”, IEEE VTC 2025, accepted.
  • S. Fayi, F. Ayaz and Z. Sheng, “A Blockchain-Based Reputation-Enhanced Vehicle Selection (REVS) for Computation Offloading”, IEEE Vehicular Technology Conference (VTC), 2025, accepted.
  • A. Ibraheem, Z. Sheng and G. Parisis, “Anomaly Detection and Classification for SDN-enabled In-Vehicle Network using Network Tomography-based Deep Learning”, Proc. of IEEE Wireless Communications and Networking Conference (WCNC) 2024, Dubai.
  • Y. Song, R. Mo, P. Zhang, C. Wang, Z. Sheng and Y. Bing, “VehicleTalk: Lightweight V2V Network Enabled by Optical Wireless Communication and Sensing”, Proc. of IEEE Vehicular Technology Conference (VTC) 2024, Singapore
  • F. Wei and W. Wang, “A Method for Designing the Perception Module of Autonomous Vehicles Using Stereo Depth and Semantic Segmentation”, Proc. of 24th International Conference on Control, Automation and Systems (ICCAS). Oct 29 - Nov 1, 2024, Jeju Shinhwa World, Jeju, Korea 
  • F. Wei, W. Wang and H. Liu, “design of longitudinal and lateral controllers for autonomous driving system in carla simulator”, 2024 9th International Conference on Robotics and Automation Engineering (ICRAE 2024). November 15th to 17th, 2024. Singapore
  • B. Liu, W. Chen, Z. Sheng, A. Barakat and Y. L. Guan, "Highly Concurrent Data Processing Design for 5G C-V2X Intelligent Transportation Systems (ITS)," 2024 IEEE/CIC International Conference on Communications in China (ICCC), Hangzhou, China, 2024, pp. 1245-1250, doi: 10.1109/ICCC62479.2024.10682013
  • N. Magaia, P. Ferreira and P. Rogério Pereira, "An edge-based smart network monitoring system for the Internet of Vehicles," ICC 2022 - IEEE International Conference on Communications, Seoul, Korea, Republic of, 2022, pp. 2218-2223, doi: 10.1109/ICC45855.2022.9838388. [https://sro.sussex.ac.uk/id/eprint/103909/1/IEEE_ICC_2022.pdf]
  • X. Han, D. Tian, X. Tian, Z. Sheng, J. Zhou and V. Leung, “A Dual Mode Privacy-Preserving Scheme Enabled Secure and Anonymous for Edge Computing Assisted Internet of Vehicle Networks”, Proc. of 11th ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet’21), 2021.
  • F. Ayaz, Z. Sheng, D. Tian, Y. L. Guan, and V. Leung, “A Voting Blockchain based Message Dissemination in Vehicular Ad-Hoc Networks (VANETs),” In Proc. of IEEE International Conference on Communications (ICC), Dublin, Ireland, pp. 1-6, June 2020, doi: 10.1109/ICC40277.2020.9148823.
  • F. Ayaz, Z. Sheng, I. W. -H. Ho, D. Tian and Z. Ding, "Blockchain-enabled FD-NOMA based Vehicular Network with Physical Layer Security," 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 2022, pp. 1-6, doi: 10.1109/VTC2022-Spring54318.2022.9860421
  • B. Liu, F. Ayaz, H. Anh, O. Edwards, Y. Zeng, Z. Sheng, X. Duan and D. Tian, “UAV Integrated Internet-of-Vehicle (IoV) System for Flooding Monitoring and Rescue”, Proc. of International Conference on Autonomous Unmanned Systems (ICAUS), 2022.
  • A.Ibraheem, Z. Sheng, G. Parisis and D. Tian, “In-Vehicle Network Delay Tomography”, Proc. of IEEE Global Communications Conference (Globecom) 2022, Brazil.

Book chapters

  • F. Ayaz, Z. Sheng, D. Tian, and V. Leung, “Blockchain-enabled Security and Privacy for Internet of Vehicles,” Internet of Vehicles and its Applications in Autonomous Driving, Springer, pp. 123-148, September 2020, doi: https://doi.org/10.1007/978-3-030-46335-9_9.

Thesis

  • D. Ritthison. (2024), “AI Based Task Offloading In Vehicular Edge Computing”, [MSc dissertation]. 
  • O. Aina. (2024), “Edge Inference for the Internet of Vehicles”, [MSc dissertation]. 
  • N. Lopes. (2024), “Blockchain-based Solution for Connected Vehicle Networks”, [MSc dissertation].
  • F. Sousa. (2023), “Blockchain-based Solution for Connected Vehicle Networks”, [MSc dissertation].  
  • Colaço, R. (2021). A secure content dissemination scheme for the Internet of Vehicles. [MSc dissertation]. URL: https://fenix.tecnico.ulisboa.pt/cursos/meec/dissertacao/1691203502344415
  • P. Alvares. (2021), “Blockchain-based Solution for Connected Vehicle Networks”, [MSc dissertation]. 
  • Pimentel, A. (2022). A secure data dissemination scheme supporting conjunctive keyword searchable encryption for connected vehicle networks. [MSc dissertation]. URL: https://nmagaia.bitbucket.io/publications/Pimentel_2022_MScDissertation.pdf
  • Domingos, R. (2022). A game theory-based incentive framework for the next-generation vehicular networks. [MSc dissertation]. URL: https://nmagaia.bitbucket.io/publications/Domingos_2022_MScDissertation.pdf