Outputs (4245)

Finite-Precision Arithmetic Transceiver for Massive MIMO Systems (2025)
Journal Article
Fang, Y., Chen, L., Chen, Y., & Yin, H. (online). Finite-Precision Arithmetic Transceiver for Massive MIMO Systems. IEEE Journal on Selected Areas in Communications, https://doi.org/10.1109/JSAC.2025.3531532

Efficient implementation of massive multiple-input-multiple-output (MIMO) transceivers is essential for the next-generation wireless networks. To reduce the high computational complexity of the massive MIMO transceiver, in this paper, we propose a ne... Read More about Finite-Precision Arithmetic Transceiver for Massive MIMO Systems.

COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks (2025)
Presentation / Conference Contribution
Singh Aujla, G., Jindal, A., Kaur, K., Garg, S., Chaudhary, R., Sun, H., & Kumar, N. (2025, June). COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

To mitigate various challenges in the edge-cloud ecosystem, such as global monitoring, flow control, and policy modification of legacy networking paradigms, software-defined networks (SDN) have evolved as a major technology. However, the dependency o... Read More about COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks.

Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks (2025)
Presentation / Conference Contribution
Dua, A., Jindal, A., Singh Aujla, G., & Sun, H. (2025, June). Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

6G applications rely on data-intensive AI models for network optimization. These demand a scalable and energy-efficient framework to handle massive device networks with stringent latency requirements which current solutions struggle to support. Even... Read More about Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks.

Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems (2025)
Presentation / Conference Contribution
Demirbaga, U., Singh Aujla, G., & Sun, H. (2025, June). Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

As the scale of data continues to grow exponentially, managing resource allocation and energy consumption in big data systems becomes increasingly complex and critical. Moreover, with big data systems, energy efficiency is more important daily. In cl... Read More about Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems.

Channel Map-Based Angle Domain Multiple Access for Cell-Free Massive MIMO Communications (2025)
Journal Article
Chen, S., Wang, C.-X., Li, J., Huang, C., Chang, H., Huang, Y., Huang, J., & Chen, Y. (in press). Channel Map-Based Angle Domain Multiple Access for Cell-Free Massive MIMO Communications. IEEE Journal of Selected Topics in Signal Processing,

Reinforcement of GO composites using rigid and flexible crosslinkers (2025)
Journal Article
Kaur, P., Bowen, L., Hutchings, L. R., Chaudhry, M. U., Pugh, T., & Thompson, R. L. (2025). Reinforcement of GO composites using rigid and flexible crosslinkers. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 709, Article 136156. https://doi.org/10.1016/j.colsurfa.2025.136156

Crosslinkers are important for graphene oxide (GO) plates in filtration applications because they help to define and maintain the integrity of the nanoscale structure. GO platelets were dispersed in aqueous solution and crosslinked using a simple “on... Read More about Reinforcement of GO composites using rigid and flexible crosslinkers.

UPdec-Webb: A Data Set for Coaddition of JWST NIRCam Images (2025)
Journal Article
Wang, L., Shan, H., Nie, L., Cheng, C., Yuan, F.-T., Cui, Q., Li, G., Xie, Y., Liu, D., Liu, Y., Fang, M., Li, N., Jia, P., Li, R., Liu, F., Shu, Y., Jiang, C., Wei, C.-L., Qu, H., Zheng, W.-W., …Kang, X. (2025). UPdec-Webb: A Data Set for Coaddition of JWST NIRCam Images. Astrophysical Journal, 276(2), Article 36. https://doi.org/10.3847/1538-4365/ad9566

We present the application of the image coaddition algorithm, upsampling and point-spread function (PSF) deconvolution coaddition (UPDC), for stacking multiple exposure images captured by the James Webb Space Telescope (JWST) Near-Infrared Camera. By... Read More about UPdec-Webb: A Data Set for Coaddition of JWST NIRCam Images.

CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities (2025)
Journal Article
Arian, R., Vard, A., Kafieh, R., Plonka, G., & Rabbani, H. (2025). CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities. Artificial Intelligence in Medicine, 160, Article 103060. https://doi.org/10.1016/j.artmed.2024.103060

Modeling Optical Coherence Tomography (OCT) images is crucial for numerous image processing applications and aids ophthalmologists in the early detection of macular abnormalities. Sparse representation-based models, particularly dictionary learning (... Read More about CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities.

Highlights Flow induced vibration (FIV) of a pentagonal cylinder with high mass-damping ratio (2025)
Journal Article
Masoudi, E., Gan, L., Sims-Williams, D., & Marshall, A. (in press). Highlights Flow induced vibration (FIV) of a pentagonal cylinder with high mass-damping ratio. Journal of Fluids and Structures,

Experimental and numerical study on the mechanical inconsistency of a dual-opposed free-piston Stirling engine generator (2025)
Journal Article
Sun, H., Jin, Q., Yu, G., Zhu, S., & Luo, E. (2025). Experimental and numerical study on the mechanical inconsistency of a dual-opposed free-piston Stirling engine generator. Energy, 315, Article 134432. https://doi.org/10.1016/j.energy.2025.134432

The dual-opposed free-piston Stirling generator (FPSG) presents potential advantages in terms of heightened efficiency, diminished vibrations, and flexible operation. However, the challenge encountered on a dual-opposed configuration posed by compone... Read More about Experimental and numerical study on the mechanical inconsistency of a dual-opposed free-piston Stirling engine generator.