Z Zhang, R Yang, X Zhang, C Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) is an emerging paradigm for distributed machine learning that uses the data and the computational power of user devices while maintaining user privacy (eg …
S Gao, X Cheng, L Yang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Wireless multi-casting is an efficient transmission modality for downlink network control and content sharing. Conventional multi-casting amounts to finding an optimized beamforming …
The use of one-bit analog-to-digital converter (ADC) has been considered as a viable alternative to high resolution counterparts in realizing and commercializing massive multiple …
Spectral analysis is a mathematical tool for modeling signals and extracting information from signals. Among the areas where it finds applications are radar, sonar, speech processing …
S Banik, MH Rahman, M Ranjbar… - MILCOM 2022-2022 …, 2022 - ieeexplore.ieee.org
In this paper, we investigate the fundamentals of a static 2-user Gaussian multiple-access channel (MAC) with 1-bit analog-to-digital-converter (ADC) being equipped at the base …
In this work, we investigate the fundamentals of a static 2-user Gaussian multiple-access channel (MAC) with 1-bit analog-to-digital-converter (ADC) being equipped at the base …
X Cheng, S Gao, L Yang - mmWave Massive MIMO Vehicular …, 2022 - Springer
This chapter works on proposing an advanced index modulation (IM) scheme to underpin mmWave vehicular uplink access. The designed IM roots from a spectrum efficiency (SE-) …