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Found 12 papers, 1 papers with code
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
The majority of data-driven wireless research leans heavily on discriminative AI (DAI) that requires vast real-world datasets.
Index Modulation for Integrated Sensing and Communications: A Signal Processing Perspective
A joint design of both sensing and communication can lead to substantial enhancement for both subsystems in terms of size, cost as well as spectrum and hardware efficiency.
NEAT-MUSIC: Auto-calibration of DOA Estimation for Terahertz-Band Massive MIMO Systems
Terahertz (THz) band is envisioned for the future sixth generation wireless systems thanks to its abundant bandwidth and very narrow beamwidth.
Near-field Hybrid Beamforming for Terahertz-band Integrated Sensing and Communications
Terahertz (THz) band communications and integrated sensing and communications (ISAC) are two main facets of the sixth generation wireless networks.
Antenna Selection With Beam Squint Compensation for Integrated Sensing and Communications
In this paper, we develop a sparse array architecture for THz-ISAC with hybrid beamforming to provide a cost-effective solution.
Spatial Path Index Modulation in mmWave/THz-Band Integrated Sensing and Communications
Then, we propose to employ a family of hybrid beamforming techniques such as hybrid, SI, and subcarrier-dependent analog-only, and beam-split-aware beamformers.
Millimeter-Wave Radar Beamforming with Spatial Path Index Modulation Communications
To efficiently utilize the wireless spectrum and save hardware costs, the fifth generation and beyond (B5G) wireless networks envisage integrated sensing and communications (ISAC) paradigms to jointly access the spectrum.
RIS-Assisted Grant-Free NOMA
This paper introduces a reconfigurable intelligent surface (RIS)-assisted grant-free non-orthogonal multiple-access (GF-NOMA) scheme.
BackLink: Supervised Local Training with Backward Links
This work proposes a novel local training algorithm, BackLink, which introduces inter-module backward dependency and allows errors to flow between modules.
Configurable Independent Component Analysis Preprocessing Accelerator
Specifically, the proposed accelerator is based on a high-performance matrix multiplication array (MMA).
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
The results reveal that temporal truncation has a negative effect on the accuracy of classifying frame-based datasets, but leads to improvement in accuracy on dynamic-vision-sensor (DVS) recorded datasets.
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
Recent breakthroughs in neuromorphic computing show that local forms of gradient descent learning are compatible with Spiking Neural Networks (SNNs) and synaptic plasticity.
