Publications

Books

[B1] H. H. Yang and T. Q. S. Quek, Massive MIMO meets small cell: Backhaul and cooperation, SpringerBriefs in Computer Science, 2017.

Book Chapters

[BC6] H. H. Yang and T. Q. S. Quek, “Small Cell Network Modeling and Analysis,” in Wiley 5G REF: The Essential 5G Reference Online. John Wiley & Sons, 2020.

[BC5] H. H. Yang and T. Q. S. Quek, “Information Freshness in Large-Scale Wireless Networks: A Stochastic Geometry Approach,” in Age of Information: Foundations and Applications. Cambridge University Press, 2020.

[BC4] H. H. Yang, Y. Zhong, and T. Q. S. Quek, “Ultra Dense Networks with Spatio-Temporal Traﬃc,” in Ultra Dense Networks: Principles and Technologies. Cambridge University Press, 2019.

[BC3] Y. Zhong, H. H. Yang, and T. Q. S. Quek, “Delay and Traﬃc Matching in Ultra Dense Networks,” in Ultra Dense Networks: Principles and Technologies. Cambridge University Press, 2019.

[BC2] Q. Zhang, H. H. Yang, and T. Q. S. Quek, “The Role of Massive MIMO and Small Cells in Heterogeneous Cellular Networks,” in Ultra-Dense Networks for 5G and Beyond: Modelling, Analysis and Design. Wiley, 2018.

[BC1] H. H. Yang, J. Lee, and T. Q. S. Quek, “Energy-Harvesting based D2D Communication in Heterogeneous Networks,” in Emerging Technologies for 5G Wireless Systems. Cambridge University Press, 2017.

Journal Papers

[J89] Z. Yue, Y. Tang, N. Pappas, Y. Fu, T. Q. S. Quek, and H. H. Yang, “On the Timeliness of Radio Channel Access: Random Access or Scheduled Access?,” IEEE Trans. Mobile Comput., Sep. 2025 [Early Access].

[J88] Z. Li, Z. Chen, X. Hu, and H. H. Yang, “Personalized Generative AI Services Through Federated Learning in 6G Edge Networks,” China Commun., vol. 22, no. 7, pp. 1-13, Aug. 2025.

[J87] X. Chen, Z. Guo, X. Wang, C. Feng, H. H. Yang, S. Han, X. Wang, and T. Q. S. Quek, “Toward 6G Native-AI Network: Foundation Model-Based Cloud-Edge-End Collaboration Framework,” IEEE Commun. Mag., vol. 63, no. 8, pp. 23–30, July 2025.

[J86] Y. Cao, G. Liu, T. Ohtsuki, H. H. Yang, and T. Q. S. Quek, “Distributed Gossip-GAN for Low-Overhead CSI Feedback Training in FDD mMIMO-OFDM Systems,” IEEE Internet of Things J., vol. 12, no. 19, pp. 40176-40189, July 2025.

[J85] F. Zhao, N. Pappas, M. Zhang, and H. H. Yang, “Age of Information in Random Access Networks with Energy Harvesting,” IEEE J. Sel. Areas Commun., July 2025 [Early Access].

[J84] C. Wang, Z. Chen, N. Pappas, H. H. Yang, T. Q. S. Quek, and H. V. Poor, “Adaptive Federated Learning Over the Air,” IEEE Trans. Signal Process., vol. 73, pp. 3187-3202, July 2025.

[J83] Z. Chen, H. H. Yang, Z. Li, J. Park, and T. Q. S. Quek, “Zeroth-Order Over-the-Air Federated Large Model Tuning Over Edge Networks,” IEEE Commun. Lett., vol. 14, no. 9, pp. 3002-3006, July 2025.

[J82] Y. Feng, Z. Chen, M. Motani, H. H. Yang, M. Wang, and T. Q. S. Quek, “Distortion Optimization for Remote Online Estimation of the Wiener Process,” IEEE Trans. Wireless Commun., June 2025 [Early Access].

[J81] J. Tang, J. Chen, J. He, F. Chen, Z. Lv, G. Han, Z. Liu, H. H. Yang, and W. Li, “Towards General Industrial Intelligence: A Survey of Large Models as a Service in Industrial IoT,” IEEE Commun. Surv. Tut., June 2025 [Early Access].

[J80] Z. Li, Z. Chen, T. Q. S. Quek, and H. H. Yang, “Personalized Federated Learning Over the Air,” IEEE Trans. Wireless Commun., June 2025 [Early Access].

[J79] X. Wang, L. Ma, H. H. Yang, C. Xu, X. Sun, and X. Chen, “Timely Information Delivery in Joint Sensing and Communication Systems with Average Power Constraints,” IEEE Trans. Commun., May 2025 [Early Access].

[J78] R. Wang, M. A. Kishk, H. H. Yang, and M. Alouini, “Analyzing Localizability of LEOMEO Hybrid Networks: A Stochastic Geometry Approach,” IEEE Trans. Aerosp. Electron. Syst./, vol. 61, no. 4, pp. 10720-10736, May 2025.

[J77] Y. Zhou, Y. Fu, Z. Shi, H. H. Yang, K. Hung, and Y. Zhang, “Trustworthy Image Semantic Communication With GenAI: Explainablity, Controllability, And Efficiency,” IEEE Trans. Cognit. Commun. Networking, May 2025 [Early Access].

[J76] X. Wang, D. Ye, C. Feng, H. H. Yang, X. Chen, and T. Q. S. Quek, “Trustworthy Image Semantic Communication With GenAI: Explainablity, Controllability, And Efficiency,” IEEE Wireless Commun., vol. 32, no. 2, pp. 68-75, Mar. 2025.

[J75] L. Zhou, W. Feng, Z. Chen, T. Ruan, S. Leng, H. H. Yang, Y. Fu, and T. Q. S. Quek, “Cooperative Generative AI for UAV-Based Scenarios: An Intelligent Cooperative Framework,” IEEE Veh. Technol. Mag., vol. 20, no. 2, pp. 44-52, Mar. 2025.

[J74] M. Zhao, S. Zhao, C. Feng, H. H. Yang, D. Niyato, and T. Q. S. Quek, “SFedXL: Semi-Synchronous Federated Learning With Cross-Sharpness and Layer-Freezing,” IEEE Internet of Things J., vol. 12, no. 12, pp. 18692-18707, Mar. 2025.

[J73] R. Wang, M. A. Kishk, H. H. Yang, and M. Alouini, “Satellite-Terrestrial Routing or Intersatellite Routing? A Stochastic Geometry Perspective,” IEEE Trans. Aerosp. Electron. Syst., vol. 61, no. 4, pp. 8770-8786, Mar. 2025.

[J72] N. Li, H. Shan, M. Song, Y. Zhou, Z. Zhao, H. H. Yang, and Fen Hou, “Accelerating Decentralized Federated Learning via Momentum GD with Heterogeneous Delays,” Elsevier High-Confidence Computing, vol. 5, no. 4, p. 100310, Feb. 2025.

[J71] C. Feng, A. Arafa, Z. Chen, M. Zhao, T. Q. S. Quek, and H. H. Yang, “Toward Understanding Federated Learning over Unreliable Networks,” IEEE Transactions on Machine Learning in Communications and Networking, vol. 3, pp. 80-97, Dec. 2024.

[J70] X. Hu, Z. Chen, C. Feng, G. Min, T. Q. S. Quek, and H. H. Yang, “Sparsified Random Partial Model Update for Personalized Federated Learning,” IEEE Trans. Mobile Comput., vol. 24, no. 4, pp. 3076-3091, Nov. 2024.

[J69] Z. Zhao, K. Xu, W. Hong, Z. Ding, T. Q. S. Quek, and H. H. Yang, “Model Pruning for Distributed Learning Over the Air,” IEEE Trans. Signal Process., vol. 72, pp. 5533-5549, Oct. 2024.

[J68] F. Zhao, N. Pappas, C. Ma, X. Sun, T. Q. S. Quek, and H. H. Yang, “Age-Threshold Slotted ALOHA for Optimizing Information Freshness in Mobile Networks,” IEEE Trans. Wireless Commun., vol. 23, no. 11, pp. 17236 - 17251, Sep. 2024.

[J67] Z. Chen, T. Yang, N. Pappas, H. H. Yang, Z. Tian, M. Wang, and T. Q. S. Quek, “Improving Information Freshness via Multi-Sensor Parallel Status Updating,” IEEE Trans. Commun., vol. 73, no. 1, pp. 540-554, July 2024.

[J66] Z. Chen, H. H. Yang, YC Tay, K. F. E. Chong, and T. Q. S. Quek, “The Role of Federated Learning in a Wireless World with Foundation Models,” IEEE Wireless Commun., vol. 31, no. 3, pp. 42-49, June 2024.

[J65] Z. Chen, K. Lang, N. Pappas, H. H. Yang, M. Wang, Z. Tian, and T. Q. S. Quek, “Timeliness of Status Update System: The Effect of Parallel Transmission Using Heterogeneous Updating Devices,” IEEE Trans. Commun., vol. 71, no. 11, pp. 7093-7107, June 2024.

[J64] H. H. Yang, Z. Chen, and T. Q. S. Quek, “Unleashing Edgeless Federated Learning With Analog Transmissions,” IEEE Trans. Signal Process., vol. 72, pp. 774-791, Jan. 2024.

[J63] C. Feng, D. Feng, Z. Zhao, H. H. Yang, and T. Q. S. Quek, “Federated Learning with Unreliable Transmission in Mobile Edge Computing Systems,” Federated Learning for Future Intelligent Wireless Networks, pp. 1-22, Dec. 2023.

[J62] K. Guo, Z. Chen, H. H. Yang, and T. Q. S. Quek, “Heterogeneity-Aware Dynamic Scheduling for Federated Edge Learning,” Federated Learning for Future Intelligent Wireless Networks, pp. 181-214, Dec. 2023.

[J61] C. Xu, X. Zhang, H. H. Yang, X. Wang, N. Pappas, D. Niyato, and T. Q. S. Quek, “Optimal Status Updates for Minimizing Age of Correlated Information in IoT Networks with Energy Harvesting Sensors,” IEEE Trans. Mobile Comput., vol. 23, no. 6, pp. 6848-6864, Nov. 2023.

[J60] C. Feng, H. H. Yang, S. Wang, Z. Zhao, and T. Q. S. Quek, “Hybrid Learning: When Centralized Learning Meets Federated Learning in the Mobile Edge Computing Systems,” IEEE Trans. Commun., vol. 71, no. 12, pp. 7008-7022, Aug. 2023.

[J59] X. Hu, H. Fang, L. Zhang, X. Zhang, H. H. Yang, D. Yang, B. Peng, Z. Li, and H. Hu, “Dynamic Connection Pruning for Densely Connected Convolutional Neural Networks,” Applied Intelligence, vol. 53, no. 16, pp. 19505-19521, Aug. 2023.

[J58] Z. Chen, H. H. Yang, and T. Q. S. Quek, “Edge Intelligence Over the Air: Two Faces of Interference in Distributed Learning,” IEEE Network Mag., vol. 61, no. 12, pp. 62-68, Aug. 2023.

[J57] H. H. Yang, Z. Chen, and T. Q. S. Quek, “Server Free Wireless Federated Learning: Architecture, Algorithm, and Analysis,” IEEE J. Sel. Areas Commun., submitted.

[J56] S. Hu, Y. Ye, Q. Hu, X. Liu, S. Cao, H. H. Yang, Y. Shen, P. Angeloudis, L. Parada, and C. Wu, “A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction,” IEEE Trans. Veh. Technol., vol. 72, no. 11, pp. 14002-14015, June 2023.

[J55] Z. Yue, H. H. Yang, M. Zhang, and N. Pappas, “Age of Information Under Frame Slotted ALOHA-Based Status Updating Protocol,” IEEE J. Sel. Areas Commun., vol. 41, no. 7, pp. 2071-2089, May 2023.

[J54] Z. Chen, K. Lang, H. H. Yang, N. Pappas, M. Wang, and T. Q. S. Quek, “Age of Information of a Dual Queue Status Update System: A Stochastic Hybrid Systems Method,” IEEE Commun. Lett., vol. 27, no. 7, pp. 1714-1718, May 2023.

[J53] K. Guo, H. H. Yang, and T. Q. S. Quek, “Matching while Learning: Wireless Scheduling for Age of Information Optimization,” China Commun., vol. 20, no. 3, pp. 347-360, Apr. 2023.

[J52] C. You, K. Guo, H. H. Yang, and T. Q. S. Quek, “Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks,” IEEE Trans. Wireless Commun., vol. 22, no. 11, pp. 8141-8157, Mar. 2023.

[J51] M. Song, H. Shan, Y. Fu, H. H. Yang, F. Hou, W. Wang, and T. Q. S. Quek, “Joint User-Side Recommendation and D2D-Assisted Offloading for Cache-Enabled Cellular Networks With Mobility Consideration,” IEEE Trans. Wireless Commun., vol. 22, no. 11, pp. 8080-8095, Mar. 2023.

[J50] Z. Chen, D. Deng, H. H. Yang, N. Pappas, L. Hu, Y. Jia, M. Wang, and T. Q. S. Quek, “Analysis of Age of Information in Dual Updating Systems,” IEEE Trans. Wireless Commun., vol. 22, no. 11, pp. 8003-8019, Mar. 2023.

[J49] Y. Zhang, H. Shan, M. Song, H. H. Yang, X. Shen, Q. Zhang, and X. He, “Packet-Level Throughput Analysis and Energy Efficiency Optimization for UAV-Assisted IAB Heterogeneous Cellular Networks,” IEEE Trans. Veh. Technol., vol. 72, no. 7, pp. 9511-9526, Mar. 2023.

[J48] Y. Xia, Q. Zhang, H. H. Yang, W. Xia, and H. Zhu, “On the Grant-Free Random Access in Multicell Massive MIMO Systems: Spatiotemporal Modeling and Backoff Scheme Optimization,” IEEE Internet of Things J., vol. 10, no. 14, pp. 12508-12520, Feb. 2023.

[J47] H. H. Yang, and T. Q. S. Quek, “14 Information Freshness in Large-Scale Wireless Networks: A Stochastic Geometry Approach,” Age of Information: Foundations and Applications, pp. 364, Feb. 2023.

[J46] H. H. Yang, Z. Chen, T. Q. S. Quek, and H. V. Poor, “Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference,” IEEE J. Sel. Topics Signal Process., vol. 16, no. 3, pp. 406-419, Dec. 2022.

[J45] H. H. Yang, M. Song, C. Xu, X. Wang, and T. Q. S. Quek, “Locally Adaptive Status Updating for Optimizing Age of Information in Poisson Networks,” IEEE Trans. Mobile Comput., vol. 22, no. 12, pp. 7343-7354, Oct. 2022.

[J44] C. You, D. Feng, K. Guo, H. H. Yang, C. Feng, and T. Q. S. Quek, “Semi-Synchronous Personalized Federated Learning Over Mobile Edge Networks,” IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2262-2277, Oct. 2022.

[J43] S. Liu, H. H. Yang, Y. Tao, Y. Feng, J. Hao, and Z. Liu, “Privacy-Preserved Federated Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans,” Front. Commun. Netw., vol. 3, June. 2022.

[J42] C. Feng, H. H. Yang, D. Hu, Z. Zhao, T. Q. S. Quek, and G. Min, “Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks,” IEEE Trans. Wireless Commun., vol. 21, no. 10, pp. 8441-8458, Apr. 2022.

[J41] H. Sun, H. Shen, H. H. Yang, X. Wang, J. Liu, S. Li, and T. Q. S. Quek, “Impacts of User Association and Power Control on AoI in Multi-Tier Cellular-Based IoT Networks,” IEEE Wireless Commun. Lett., vol. 11, no. 6, pp. 1196-1200, Mar. 2022.

[J40] W. Wen, Z. Chen, H. H. Yang, W. Xia, and T. Q. S. Quek, “Joint Scheduling and Resource Allocation for Hierarchical Federated Edge Learning,” IEEE Trans. Wireless Commun., vol. 21, no. 8, pp 5857-5872, Jan. 2022.

[J39] M. Song, H. H. Yang, H. Shan, J. Lee, and T. Q. S. Quek, “Age of Information in Wireless Networks: Spatiotemporal Analysis and Locally Adaptive Power Control,” IEEE Trans. Mobile Comput., vol. 22, no. 6, pp. 3123-3136, Dec. 2021.

[J38] K. Guo, Z. Chen, H. H. Yang, and T. Q. S. Quek, “Dynamic Scheduling for Heterogeneous Federated Learning in Private 5G Edge Networks,” IEEE J. Sel. Topics Signal Process., vol. 16, no. 1, pp. 26-40, Nov. 2021.

[J37] H. H. Yang, A. Arafa, T. Q. S. Quek, and H. V. Poor, “Spatiotemporal Analysis for Age of Information in Random Access Networks under Last-Come First-Serve with Replacement Protocol,” IEEE Trans. Wireless Commun., vol. 21, no. 4, pp. 2813-2829, Oct. 2021.

[J36] L. Liu, H. H. Yang, C. Xu, and F. Jiang, “On the Peak Age of Information in NOMA IoT Networks with Stochastic Arrivals,” IEEE Wireless Commun. Lett., vol. 10, no. 12, pp. 2757-2761, Sep. 2021.

[J35] X. Sun, M. Fan, H. H. Yang, W. Zhan, X. Wang, and T. Q. S. Quek, “Optimizing Age of Information in Random-Access Poisson Networks,” IEEE Internet of Things J., vol. 9, no. 9, pp. 6816-6829, Sep. 2021.

[J34] X. Wang, M. Fang, C. Xu, H. H. Yang, X. Sun, X. Chen, and T. Q. S. Quek, “When to Preprocess? Optimizing Information Freshness in Computing-enabled Internet of Things,” IEEE Internet of Things J., vol. 9, no. 6, pp. 4303-4317, Aug. 2021.

[J33] C. Xu, Y. Xie, X. Wang, H. H. Yang, D. Niyato, and T. Q. S. Quek, “Optimal Status Update for Caching Enabled IoT Networks: A Dueling Deep R-Network based Approach,” IEEE Trans. Wireless Commun., vol. 20, no. 12, pp. 8438-8454, July 2021.

[J32] M. Song, H. Shan, H. H. Yang, and T. Q. S. Quek, “Joint Optimization of Fractional Frequency Reuse and Cell Clustering for Dynamic TDD Small Cell Networks,” IEEE Trans. Wireless Commun., vol. 21, no. 1, pp. 398-412, July 2021.

[J31] Q. Zhang, H. H. Yang, T. Q. S. Quek, and S. Jin, “Spatiotemporal Modeling of Massive MIMO Systems with Mixed-Type IoT Devices: Scheduling Optimization with Delay Constraint,” IEEE Internet of Things J., vol. 8, no. 12, pp. 10 146–10 159, June 2021.

[J30] Z. Song, H. Sun, H. H. Yang, X. Wang, Y. Zhang, and T. Q. S. Quek, “Reputation-based Federated Learning for Secure Wireless Networks,” IEEE Internet of Things J., vol. 9, no. 2, pp. 1212-1226, May 2021.

[J29] Y. Fu, T. Q. S. Quek, Z. Yang, and H. H. Yang, “Towards Cost Minimization for Wireless Caching Networks with Recommendation and Uncharted Users’ Feature Information,” IEEE Trans. Wireless Commun., vol. 20, no. 10, pp. 6758-6771, May 2021.

[J28] H. H. Yang, C. Xu, X. Wang, D. Feng, and T. Q. S. Quek, “Understanding Age of Information in Large-Scale Wireless Networks,” IEEE Trans. Wireless Commun., vol. 20, no. 5, pp. 3196–3210, May 2021.

[J27] Y. Fu, H. H. Yang, K. N. Doan, C. Liu, X. Wang, and T. Q. S. Quek, “Towards High-Eﬀectiveness Cache-Enabled Wireless Networks: An Artiﬁcial Intelligence and Recommendation oriented Framework,” IEEE Vehicular Tech. Mag., vol. 16, no. 1, pp. 20–28, Mar. 2021.

[J26] L. Lai, D. Feng, F. C. Zheng, X. Wang, H. H. Yang, and T. Q. S. Quek, “CQI-based Interference Detection and Resource Allocation with QoS Provision in LTE-U Systems,” IEEE Trans. Veh. Technol., vol. 70, no. 2, pp. 1421–1433, Feb. 2021.

[J25] M. Song, H. Shan, H. H. Yang, and T. Q. S. Quek, “Throughput Analysis and Optimization for Small Cell Networks under D-TDD and FFR,” IEEE Commun. Lett., vol. 25, no. 2, pp. 665–669, Feb. 2021.

[J24] H. H. Yang, T. Q. S. Quek, and H. V. Poor, “A Uniﬁed Framework for SINR Analysis in Poisson Networks with Traﬃc Dynamics,” IEEE Trans. Commun., vol. 69, no. 1, pp. 326–339, Jan. 2021.

[J23] W. Xia, T. Q. S. Quek, K. Guo, W. Wen, H. H. Yang, and H. Zhu, “Multi-Armed Bandit based Client Scheduling for Federated Learning,” IEEE Trans. Wireless Commun., vol. 19, no. 11, pp. 7108–7123, Nov. 2020.

[J22] Q. Zhang, H. H. Yang, T. Q. S. Quek, and S. Jin, “Massive MIMO Networks with Spatio-Temporal Traﬃc: Scheduling Mechanism Optimization,” IEEE Commun. Lett., vol. 24, no. 10, pp. 2339– 2343, Oct. 2020.

[J21] K. Wei, J. Li, M. Ding, C. Ma, H. H. Yang, F. Farhad, T. Q. S. Quek, and H. V. Poor, “Federated Learning with Diﬀerential Privacy: Algorithms and Performance Analysis,” IEEE Trans. Information Forensics and Security, vol. 15, no. 2, pp. 3454–3469, Apr. 2020.

[J20] Z. Zhao, C. Feng, H. H. Yang, and X. Luo, “Federated Learning-enabled Intelligent Fog-Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends,” IEEE Wireless Commun. Mag., vol. 27, no. 2, pp. 22–28, Apr. 2020.

[J19] C. Ma, J. Li, M. Ding, H. H. Yang, F. Shu, T. Q. S. Quek, and H. V. Poor, “On Safeguarding Privacy and Security in the Framework of Federated Learning,” IEEE Network Mag., vol 34, no. 4, pp. 242-248, Mar. 2020.

[J18] H. H. Yang, A. Arafa, T. Q. S. Quek, and H. V. Poor, “Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach,” IEEE Trans. Mobile Comput., vol. 20, no. 6, pp. 2269-2280, Feb. 2020.

[J17] C. Xu, H. H. Yang, X. Wang, and T. Q. S. Quek, “Optimizing Information Freshness in Computing Enabled IoT Networks,” IEEE Internet of Things J., vol. 7, no. 2, pp. 971–985, Feb. 2020.

[J16] H. H. Yang, Z. Liu, T. Q. S. Quek, and H. V. Poor, “Scheduling Policies for Federated Learning in Wireless Networks,” IEEE Trans. Commun., vol. 68, no. 1, pp. 317–333, Jan. 2020.

[J15] Y. Wang, H. H. Yang, Q. Zhu, and T. Q. S. Quek, “Analysis of Packet Throughput in Spatiotemporal HetNets with Scheduling and Various Traﬃc Loads,” IEEE Wireless Commun. Lett., vol. 9, no. 1, pp. 2162–2337, Jan. 2020.

[J14] Y. Yuan, D. W. Soh, H. H. Yang, and T. Q. S. Quek, “Learning Overlapping Community-Based Graph,” IEEE Trans. Signal and Information Process. over Networks, vol. 5, no. 4, pp. 684–697, Dec. 2019.

[J13] L. Li, T. Q. S. Quek, J. Ren, H. H. Yang, Z. Chen, and Y. Zhang, “An Incentive-Aware Job Offloading Control Framework for Multi-access Edge Computing,” IEEE Trans. Mobile Comput., vol. 20, no. 1, pp. 63-75, Sep. 2019.

[J12] S. Ni, J. Zhao, H. H. Yang, and Y. Gong, “Enhancing Downlink Transmission in MIMO HetNet with Wireless Backhaul,” IEEE Trans. Veh. Technol., vol. 68, no. 7, pp. 6817–6832, May 2019.

[J11] H. H. Yang and T. Q. S. Quek, “Spatiotemporal Analysis for SINR Coverage in Small Cell Networks,” IEEE Trans. Commun., vol. 67, no. 8, pp. 5520 – 5531, May 2019.

[J10] Z. Chen, Q. Yao, H. H. Yang, and T. Q. S. Quek, “Massive Wireless Random Access with Successive Decoding: Delay Analysis and Optimization,” IEEE Trans. Commun., vol. 67, no. 1, pp. 457–471, Jan. 2019.

[J9] H. H. Yang, Y. Wang, and T. Q. S. Quek, “Delay Analysis of Random Scheduling and Round Robin in Small Cell Networks,” IEEE Wireless Commun. Lett., vol. 7, no. 6, pp. 978–981, Dec. 2018.

[J8] J. Li, A. Huang, H. Shan, H. H. Yang, and T. Q. S. Quek, “Analysis of Packet Throughput in Small Cell Networks under Clustered Dynamic TDD,” IEEE Trans. Wireless Commun., vol. 17, no. 9, pp. 5729–5742, Sept. 2018.

[J7] Y. Zhong, X. Ge, H. H. Yang, T. Han, and Q. Li, “Traﬃc Matching in 5G Ultra-Dense Networks,” IEEE Commun. Mag., vol. 56, no. 8, pp. 100–105, Aug. 2018.

[J6] Z. Chen, G. C. Ferrante, H. H. Yang, and T. Q. S. Quek, “Capacity of Energy Harvesting Binary Symmetric Channels with a (σ; ρ)-Power Constraint,” IEEE Trans. Commun., vol. 66, no. 2, pp. 601–614, Feb. 2018.

[J5] H. H. Yang, G. Geraci, Y. Zhong, and T. Q. S. Quek, “Packet Throughput Analysis of Static and Dynamic TDD in Small Cell Networks,” IEEE Wireless Commun. Lett., vol. 6, no. 6, pp. 742–745, Dec. 2017.

[J4] Q. Zhang, H. H. Yang, T. Q. S. Quek, and J. Lee, “Heterogeneous Cellular Networks with LoS and NLoS Transmissions – The Role of Massive MIMO and Small Cells,” IEEE Trans. Wireless Commun., vol. 16, no. 12, pp. 7996–8010, Dec. 2017.

[J3] H. H. Yang, G. Geraci, T. Q. Quek, and J. G. Andrews, “Cell-Edge-Aware Precoding for Downlink Massive MIMO Cellular Networks,” IEEE Trans. Signal Process., vol. 65, no. 13, pp. 3344–3358, Jul. 2017.

[J2] H. H. Yang, G. Geraci, and T. Q. S. Quek, “Energy-Eﬃcient Design of MIMO Heterogeneous Networks with Wireless Backhaul,” IEEE Trans. Wireless Commun., vol. 15, no. 7, pp. 4914–4927, Jul. 2016.

[J1] H. H. Yang, J. Lee, and T. Q. S. Quek, “Heterogeneous Cellular Network with Energy Harvesting based D2D Communication,” IEEE Trans. Wireless Commun., vol. 15, no. 2, pp. 1406–1419, Feb. 2016.

Conference Papers

[C77] Z. Guo, Z. Liu, C. Feng, X. Wang, H. H. Yang, X. Sun, and X. Chen, “Memory-Efficient Low-Rank Fine-Tuning for AoA Estimation in AI-Enabled RANs,” in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Shanghai, China, Aug. 2025.

[C76] Z. Chen, J. Park, B. He, Y. Yuan, H. H. Yang, “Decentralized Federated Large Model Tuning over Edge Networks with Zeroth-Order Optimization,” in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Shanghai, China, Aug. 2025.

[C75] J. Shi, K. Guo, X. Wang, P. Yang, and H. H. Yang, “Tackling Spatial-Temporal Data Heterogeneity for Federated Continual Learning in Edge Networks.” in Proc. ICML 2025 Workshop on Machine Learning for Wireless Communication and Networks (ML4Wireless), Vancouver, Canada, July, 2025.

[C74] Z. Chen, Y. Zhong, and H. H. Yang, “Interference in Millimeter-Wave Systems with Directional RTSCTS Handshake,” in Proc. International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)/, Linkoping, Sweden, May 2025.

[C73] Z. Yue, Y. Tang, N. Pappas, Y. Fu, and H. H. Yang, “Understanding Channel Access in Timely Status Updates: Random Access or Scheduled Access?,” in Proc. International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Linkoping, Sweden, May 2025.

[C72] C. Sun, Z. Chen, L. Liu, T. Q. S. Quek, and H. H. Yang, “Model-Heterogeneous Prototypical Federated Learning Over the Air,” in Proc. International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Linkoping, Sweden, May 2025.

[C71] J. Zhu, B. Das, N. Pappas, and H. H. Yang, “Towards Federated Learning Over the Air: Why Scaling Up Helps?,” in Proc. International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Linkoping, Sweden, May 2025.

[C70] J. Li, Z. Chen, K. F. E. Chong, B. Das, T. Q. S. Quek, and H. H. Yang, “Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping,” in Proc. International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Linkoping, Sweden, May 2025.

[C69] F. Zhao, N. Pappas, M. Zhang, and H. H. Yang, “Age of Information in Energy-Harvesting-Enabled Random Access Networks,” in Proc. IEEE INFOCOM 2025 - IEEE Conference on Computer Communications, London, United Kingdom, May 2025.

[C68] X. Hu, Z. Chen, K. Guo, M. Zhang, and H. H. Yang, “Adaptlink: A Heterogeneity-Aware Adaptive Framework for Distributed MLLM Inference,” in Proc. AAAI 2025 Workshop on Artificial Intelligence for Wireless Communications and Networking (AI4WCN), Philadelphia, Pennsylvania, USA, Feb. 2025.

[C67] Z. Li, Z. Chen, and H. H. Yang, “First-order Personalized Federated Meta-Learning via Over-the-Air Computations,” in Proc. AAAI 2025 Workshop on Artificial Intelligence for Wireless Communications and Networking (AI4WCN), Philadelphia, Pennsylvania, USA, Feb. 2025.

[C66] Q. Zhang, R. Li, S. Fu, Z. Zhao, and H. H. Yang, “Performance Analysis of Model Selection for Wireless Digital Twin Networks,” in Proc. IEEE Global Commun. Conf. (Globecom) Workshops, Cape Town, South Africa, Dec. 2024.

[C65] X. Li, K. Guo, X. Wang, R. Gao, and H. H. Yang, “Accelerating Wireless Distributed Learning through Hybrid Split and Federated Learning,” in Proc. IEEE Global Commun. Conf. (Globecom), Cape Town, South Africa, Dec. 2024.

[C64] X. Liang, H. H. Yang, K. Guo, and T. Q. S. Quek, “Enabling Respiration Sensing via Commodity WiFi 6E Devices,” in Proc. IEEE Global Commun. Conf. (Globecom), pp. 4382-4387, Cape Town, South Africa, Dec. 2024.

[C63] R. Ma, C. Liu, H. H. Yang, and M. Peng, “Performance Analysis of Service Caching in Large-Scale UAV-Enabled Wireless Networks with Coupled Uplink and Downlink,” in Proc. Int. Conf. Wireless Commun. and Signal Process. (WCSP), pp. 110-115, Hefei, China, Oct. 2024.

[C62] R. Jin, F. Zhao, N. Pappas, Y. Zhong, and H. H. Yang, “The Effect of Imperfect Feedback on Age-Threshold Slotted ALOHA,” in Proc. International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Seoul, Korea, Oct. 2024.

[C61] M. Zhao, S. Zhao, C. Feng, H. H. Yang, and T. Q. S. Quek, “SFedXSL: Semi-Synchronous Federated Cross-Sharpness Learning for UAV Swarm,” in Proc. IEEE 24th International Conference on Communication Technology (ICCT), Chengdu, China, Oct. 2024.

[C60] M. Zhang, H. H. Yang, A. Arafa, and H. V. Poor, “Age of Information in Mobile Networks: Fundamental Limits and Tradeoffs,” in Proc. Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Lucca, Italy, Oct. 2024.

[C59] Z. Chen, H. H. Yang, K. F. E. Chong, and T. Q. S. Quek, “Personalizing Semantic Communication: A Foundation Model Approach,” in Proc. 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, Sep. 2024.

[C58] F. Zhao, N. Pappas, C. Ma, X. Sun, T. Q. S. Quek, and H. H. Yang, “Optimizing Information Freshness in Mobile Networks with Age-Threshold ALOHA,” in Proc. IEEE International Symposium on Information Theory (ISIT), Athens, Greece, July 2024.

[C57] W. Dong, H. H. Yang, C. Feng, and C. Sun, “Hierarchical Federated Learning: The Interplay of User Mobility and Data Heterogeneity,” in Proc. IEEE International Symposium on Information Theory (ISIT), Athens, Greece, July 2024.

[C56] X. Liang, H. H. Yang, K. Guo, and T. Q. S. Quek, “Wireless Sensing Using Off-the-Shelf WiFi 6E Card,” in Proc. IEEE International Conference on Ubiquitous Communication (Ucom), Xi'an, China, July 2024.

[C55] W. Cheng, Z. Zhao, H. H. Yang, W. Hong, T. Q. S. Quek, and Z. Ding, “On the Study of Success Serving Probability for Integrated Sensing and Communication (ISAC) Based on Stochastic Geometry,” in Proc. IEEE Int. Conf. Commun. (ICC), Denver, CO, USA, June 2024.

[C54] K. Ma, C. Feng, G. Geraci, and H. H. Yang, “The Meta Distribution of the SIR in Joint Communication and Sensing Networks,” in Proc. IEEE Int. Conf. Commun. (ICC) Workshops, Denver, CO, USA, June 2024.

[C53] M. Zhou, M. Zhang, H. H. Yang, and R. D Yates, “Age-minimal CPU Scheduling,” in Proc. IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, pp. 401-410, Vancouver, BC, Canada, May 2024.

[C52] Z. Xiao, Z. Chen, L. Liu, Y. Feng, J. Wu, W. Liu, J. T. Zhou, H. H. Yang, and Z. Liu, “FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data,” in Proc. The Twelfth International Conference on Learning Representations, Vienna, Austria, May 2024.

[C51] Y. Wei, X. Wang, K. Guo, H. H. Yang, and X. Chen, “FedDS: Data Selection for Streaming Federated Learning with Limited Storage,” in Proc. IEEE Wireless Commun. and Networking Conf. (WCNC), Dubai, United Arab Emirates, Apr. 2024.

[C50] J. Zhu, N. Pappas, and H. H. Yang, “Boosting Dynamic TDD in Small Cell Networks by the Multiplicative Weight Update Method,” in Proc. IEEE Wireless Commun. and Networking Conf. (WCNC), Dubai, United Arab Emirates, Apr. 2024.

[C49] X. Hu, N. Pappas, and H. H. Yang, “Version Age-Based Client Scheduling Policy for Federated Learning,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP) Workshops, Seoul, Korea, Apr. 2024.

[C48] Z. Xiao, Z. Chen, S. Liu, H. Wang, Y. Feng, J. Hao, J. T. Zhou, J. Wu, H. H. Yang, and Z. Liu, “Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer,” in Proc. Advances in Neural Information Processing Systems (NIPS), pp. 77745-77757, Vancouver, Canada, Dec. 2023.

[C47] L. Ma, X. Wang, H. H. Yang, C. Xu, X. Sun, and X. Chen, “Timely Delivery of Sensing Information in Joint Sensing and Communication Systems,” in Proc. IEEE Global Commun. Conf. (Globecom), pp. 6681-6686, Kuala Lumpur, Malaysia, Dec. 2023.

[C46] Y. Lu, H. H. Yang, N. Pappas, G. Geraci, C. Ma, and T. Q. S. Quek, “Analysis of Age of Information in Non-terrestrial Networks,” in Proc. IEEE Global Commun. Conf. (Globecom) Workshops, pp. 239-244, Kuala Lumpur, Malaysia, Dec. 2023.

[C45] M. A. Khan, H. H. Yang, Z. Chen, A. Iera, and N. Pappas, “Value of Information and Timing-aware Scheduling for Federated Learning,” in Proc. IEEE Conference on Standards for Communications and Networking (CSCN), pp. 110-115, Munich, Germany, Nov. 2023.

[C44] Y. Wei, X. Wang, K. Guo, H. H. Yang, X. Sun, and X. Chen, “Joint Local Training and Device Scheduling for Heterogeneous Federated Learning,” in Proc. Int. Conf. Wireless Commun. and Signal Process. (WCSP), pp. 110-115, Hangzhou, China, Nov. 2023.

[C43] T. Yang, Z. Chen, H. H. Yang, N. Pappas, M. Wang, Y. Jia, and T. Q. S. Quek, “On the Information Freshness of A Two-Sensor Status Update System,” in Proc. IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Hong Kong, China, Oct. 2023.

[C42] J. Pang, S. Yang, X. Chen, X. Yang, Y. Yu, M. Ma, Z. Guo, H. H. Yang, and B. Huang, “Object-Oriented Option Framework for Robotics Manipulation in Clutter,” in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, Oct. 2023.

[C41] C. Wang, Z. Chen, H. H. Yang, and N. Pappas, “Adaptive Gradient Methods For Over-the-Air Federated Learning,” in Proc. 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, Sep. 2023.

[C40] W. Wang, Z. Chen, N. Pappas, and H. H. Yang, “Federated Learning with Partial Gradients Over-the-Air,” in Proc. 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Madrid, Spain, Sep. 2023.

[C39] X. Ouyang, C. Feng, D. Feng, and H. H. Yang, “Privacy-Preserving Mobility-Aware Federated Collaborative Filtering Framework for Caching Prediction in Vehicular Networks,” in Proc. 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Madrid, Spain, Sep. 2023.

[C38] Z. Yue, H. H. Yang, M. Zhang, and N. Pappas, “Age of Information in Locally Adaptive Frame Slotted ALOHA,” in Proc. International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Singapore, Aug. 2023.

[C37] H. H. Yang, N. Pappas, T. Q. S. Quek, and M. Haenggi, “Analysis of the Age of Information in Age-Threshold Slotted ALOHA,” in Proc. International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Singapore, Aug. 2023.

[C36] Z. Song, C. Ma, M. Ding, H. H. Yang, Y. Qian, and X. Zhou, “Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing,” in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, Aug. 2023.

[C35] Z. Yue, H. H. Yang, M. Zhang, and N. Pappas, “Age of Information Under Frame Slotted ALOHA in Random Access Networks,” in Proc. IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, China, June 2023.

[C34] Y. Zhang, C. Xu, H. H. Yang, X. Wang, and T. Q. S. Quek, “DPP-Based Client Selection for Federated Learning with NON-IID DATA,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Rhodes Island, Greece, June 2022.

[C33] Z. Chen, Z. Li, H. H. Yang, and T. Q. S. Quek, “Personalizing Federated Learning with Over-The-Air Computations,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Rhodes Island, Greece, June 2022.

[C32] K. Lang, Z. Chen, N. Pappas, H. H. Yang, Y. Jia, and T. Q. S. Quek, “The Effect of Device Redundancy in Timeliness of Information,” in Proc. IEEE Int. Conf. Commun. (ICC), Rome, Italy, May 2023.

[C31] Y. Xia, Q. Zhang, H. H. Yang, and Hongbo Zhu, “Grant-Free Random Access for Multicell Massive MIMO: Spatiotemporal Modeling with Collision Area,” in Proc. IEEE Global Commun. Conf. (Globecom), pp. 3320-3325, Rio de Janeiro, Brazil, Dec. 2022.

[C30] Z. Yue, H. H. Yang, M. Zhang, and N. Pappas, “Non-linear Information Freshness in Large Scale Random Access Networks,” in Proc. IEEE Global Commun. Conf. (Globecom) Workshops, pp. 1675–1680, Rio de Janeiro, Brazil, Dec. 2022.

[C29] D. Deng, Z. Chen, H. H. Yang, N. Pappas, L. Hu, M. Wang, Y. Jia, and T. Q. S. Quek, “Information Freshness in A Dual Monitoring System,” in Proc. IEEE Global Commun. Conf. (Globecom), pp. 4977–4982, Rio de Janeiro, Brazil, Dec. 2022.

[C28] H. Chen, H. H. Yang, Q. Tao, and C. Zhong, “Coverage Analysis of Cell-Edge Users in Reconfigurable Intelligent Surface-Assisted Cellular Networks,” in Proc. Int. Conf. Wireless Commun. and Signal Process. (WCSP), pp. 759–763, Nanjing, China, Nov. 2022.

[C27] H. H. Yang, Z. Liu, Y. Fu, T. Q. S. Quek, and H. V. Poor, “Federated Stochastic Gradient Descent Begets Self-Induced Momentum,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Singapore, May 2022.

[C26] W. Wen, H. H. Yang, W. Xia, and T. Q. S. Quek, “Towards Fast and Energy-Efficient Hierarchical Federated Edge Learning: A Joint Design for Helper Scheduling and Resource Allocation,” in Proc. IEEE Int. Conf. Commun. (ICC), Seoul, Korea, May 2022.

[C25] H. Xu, X. Sun, H. H. Yang, Z. Guo, P. Liu, and T. Q. S. Quek, “Fair Coexistence in Unlicensed Band for Next Generation Multiple Access: The Art of Learning,” in Proc. IEEE Int. Conf. Commun. (ICC), Seoul, Korea, May 2022.

[C24] K. Xu, H. H. Yang, Z. Zhao, W. Hong, T. Q. S. Quek, and M. Peng, “Pruning Analog Over-the-Air Distributed Learning Models with Accuracy Loss Guarantee,” in Proc. IEEE Int. Conf. Commun. (ICC), Seoul, Korea, May 2022.

[C23] M. Song, H. H. Yang, H. Shan, J. Lee, H. Lin, and T. Q. S. Quek, “Locally Adaptive Power Control for Optimizing Age of Information in Wireless Networks,” in Proc. IEEE Wireless Commun. and Networking Conf. (WCNC), Austin, TX, USA, Apr. 2022.

[C22] Y. Zhang, H. Shan, M. Song, H. H. Yang, Q. Zhang, and X. He, “Throughput Analysis of UAV-assisted IAB Cellular Networks with Heterogeneous Traffic,” in Proc. IEEE Wireless Commun. and Networking Conf. (WCNC), Austin, TX, USA, Apr. 2022.

[C21] W. Chen, L. Li, Z. Chen, H. H. Yang, and T. Q. S. Quek, “Mobility and Blockage-induced Beam Misalignment and Throughput Analysis for THz Networks,” in Proc. IEEE Global Commun. Conf. (Globecom), Madrid, Spain, Dec. 2021, pp. 1–6.

[C20] C. Feng, H. H. Yang, D. Hu, T. Q. S. Quek, Z. Zhao, and G. Min, “Federated Learning with User Mobility in Hierarchical Wireless Networks,” in Proc. IEEE Global Commun. Conf. (Globecom), Madrid, Spain, Dec. 2021, pp. 1–6.

[C19] M. Song, H. H. Yang, H. Shan, J. Lee, H. Lin, and T. Q. S. Quek, “Analysis of AoI Violation Probability in Wireless Networks,” in Proc. Int. Symp. Wirel. Commun. Syst. (ISWCS), 2021.

[C18] Z. Song, H. Sun, H. H. Yang, X. Wang, and T. Q. S. Quek, “Federated Learning in Multi-antenna Wireless Networks,” in Proc. ICC Workshops, 2021.

[C17] M. Fang, C. Xu, X. Wang, H. H. Yang, and T. Q. S. Quek, “Computing-aided update for information freshness in the internet of things,” in Proc. IEEE INFOCOM Workshops, 2021.

[C16] H. Sun, H. H. Yang, X. Wang, C. Xu, and T. Q. S. Quek, “Performance Analysis for Multi-Antenna Small Cell Networks with Clustered Dynamic TDD,” in Proc. IEEE Global Commun. Conf. (Globecom), Taipei, Taiwan, Dec. 2020, pp. 1–6.

[C15] H. H. Yang, A. Arafa, T. Q. S. Quek, and H. V. Poor, “Age of Information in Random Access Networks: A Spatiotemporal Study,” in Proc. IEEE Global Commun. Conf. (Globecom), Taipei, Taiwan, Dec. 2020, pp. 1–6.

[C14] C. Xu, X. Wang, H. H. Yang, H. Sun, and T. Q. S. Quek, “AoI and Energy Consumption oriented Dynamic Status Updating in Caching Enabled IoT Networks,” in Proc. IEEE INFOCOM Workshops, 2020.

[C13] H. H. Yang, A. Arafa, T. Q. S. Quek, and H. V. Poor, “Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Barcelona, Spain, 2020, pp. 8743–8747.

[C12] H. H. Yang, A. Arafa, T. Q. S. Quek, and H. V. Poor, “Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks,” in Proc. IEEE Global Commun. Conf. (Globecom), Waikoloa, HI, Dec. 2019, pp. 1–6.

[C11] H. H. Yang and T. Q. S. Quek, “The Meta Distribution of SINR for Small Cell Networks with Temporal Traﬃc,” in Proc. IEEE Int. Conf. Commun. (ICC), Shanghai, China, May 2019, pp. 1–6.

[C10] C. Xu, H. H. Yang, X. Wang, and T. Q. S. Quek, “On Peak Age of Information in Data Preprocessing Enabled IoT Networks,” in Proc. IEEE Wireless Commun. and Networking Conf. (WCNC), Marrakech, Morocco, Apr. 2019, pp. 1–6.

[C9] X. Zhen, H. Shan, H. H. Yang, T. Q. S. Quek, and A. Huang, “Analysis of Throughput in Heterogeneous Dynamic TDD Networks with Backhaul,” in Proc. IEEE Global Commun. Conf. (Globecom), Abu Dhabi, UAE, Dec. 2018, pp. 1–7.

[C8] S. Ni, J. Zhao, H. H. Yang, T. Q. S. Quek, and Y. Gong, “Small Cell Range Expansion with Interference Mitigation for Downlink Massive MIMO HetNets,” in Proc. IEEE Global Commun. Conf. (Globecom), Abu Dhabi, UAE, Dec. 2018, pp. 1–7.

[C7] Z. Chen, G. C. Ferrante, H. H. Yang, and T. Q. S. Quek, “Capacity Bounds on Energy Harvesting Binary Symmetric Channels with Finite Battery,” in Proc. IEEE Int. Conf. Commun. (ICC), Paris, France, May 2017, pp. 1–5.

[C6] Q. Yao, Z. Chen, H. H. Yang, and T. Q. Quek, “Delay-Aware Massive Random Access: Adaptive Framing and Successive Decoding,” in Proc. IEEE Information Theory Workshop (ITW), Kaohsiung, Taiwan, Nov. 2017, pp. 176–180.

[C5] Q. Zhang, H. H. Yang, T. Q. S. Quek, and J. Lee, “Comparison of Massive MIMO and Small Cells in HetNet with LoS and NLoS Transmissions,” in Proc. IEEE Global Commun. Conf. (Globecom), Singapore, Dec. 2017, pp. 1–6.

[C4] H. H. Yang, G. Geraci, and T. Q. S. Quek, “MIMO HetNets with Wireless Backhaul: An Energy Eﬃcient Design,” in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016, pp. 1–6.

[C3] H. H. Yang, G. Geraci, and T. Q. S. Quek, “Rate Analysis of Spatial Multiplexing in MIMO Heterogeneous Networks with Wireless Backhaul,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Shanghai, China, Mar. 2016, pp. 3586–3590.

[C2] H. H. Yang, J. Lee, and T. Q. S. Quek, “Opportunistic D2D Communication in Energy Harvesting Heterogeneous Cellular Network,” in Proc. IEEE Int. Workshop on Signal Process. Advances in Wireless Commun. (SPAWC), Stockholm, Sweden, May 2015, pp. 41–45.

[C1] H. H. Yang, J. Lee, and T. Q. S. Quek, “Green Device-to-Device Communication with Harvesting Energy in Cellular Networks,” in Proc. Int. Conf. Wireless Commun. and Signal Process. (WCSP), Hefei, China, Oct. 2014, pp. 1–6.