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Found 22 papers, 1 papers with code
Explainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networks
Integrated artificial intelligence (AI) and communication has been recognized as a key pillar of 6G and beyond networks.
Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation
Artificial intelligence (AI) is expected to significantly enhance radio resource management (RRM) in sixth-generation (6G) networks.
Near-Field ISAC: Synergy of Dual-Purpose Codebooks and Space-Time Adaptive Processing
Integrated sensing and communication (ISAC) has emerged as a transformative paradigm, enabling situationally aware and perceptive next-generation wireless networks through the co-design of shared network resources.
Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection
Event-based cameras are sensors that simulate the human eye, offering advantages such as high-speed robustness and low power consumption.
NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models
The transition to 6G networks promises unprecedented advancements in wireless communication, with increased data rates, ultra-low latency, and enhanced capacity.
Hybrid Beamforming for Integrated Sensing and Communications With Low Resolution DACs
Therefore, this paper presents the design of Hybrid ANalog and Digital BeAmformers with Low resoLution (HANDBALL) digital-to-analog converters (DACs).
BF-IMNA: A Bit Fluid In-Memory Neural Architecture for Neural Network Acceleration
To demonstrate bit fluidity, we implement HAWQ-V3's per-layer mixed-precision configurations for ResNet18 on BF-IMNA using different latency budgets, and results reveal a trade-off between accuracy and Energy-Delay Product (EDP): On one hand, mixed-precision with a high latency constraint achieves the closest accuracy to fixed-precision INT8 and reports a high (worse) EDP compared to fixed-precision INT4.
ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception
Large language models (LLMs) hold significant promise in advancing network management and orchestration in 6G and beyond networks.
A Recurrent YOLOv8-based framework for Event-Based Object Detection
Object detection is crucial in various cutting-edge applications, such as autonomous vehicles and advanced robotics systems, primarily relying on data from conventional frame-based RGB sensors.
The Curse of Beam-Squint in ISAC: Causes, Implications, and Mitigation Strategies
Integrated sensing and communications (ISAC) has emerged as a means to efficiently utilize spectrum and thereby save cost and power.
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.
