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New Fast Transform for Orthogonal Frequency Division Multiplexing
A new fast and low complexity transform is introduced for orthogonal frequency division multiplexing (OFDM) wireless systems. The new transform combines the effects of fast... -
Integrated Access and Backhaul Networks
The dataset used in this paper is a 2D disk deployment of IAB nodes and non-IAB backhaul links, with a focus on millimeter wave communications. -
Performance Evaluation of UAV-enabled Cellular Networks with Battery-limited ...
The dataset used in this paper is a UAV-enabled cellular network with battery-limited drones. The dataset includes the availability probability of the UAV, power consumption,... -
QuaDRiGa dataset
The dataset used in this paper is a flexible dataset of channels generated from QuaDRiGa. -
Channel State Information Based Localization with Deep Learning
Localization is one of the most important problems in various fields such as robotics and wireless communications. For instance, Unmanned Aerial Vehicles (UAVs) require the... -
DeepSense 6G: Large-Scale Real-World Multimodal Sensing and Communication Dat...
Development dataset for multimodal beam prediction challenge -
Multimodal Transformers for Wireless Communications: A Case Study in Beam Pre...
Multimodal transformer deep learning framework for sensing-assisted beam prediction in wireless communications -
RIS-aided Wireless Communications
The dataset used in the paper is a set of reconfigurable intelligent surfaces (RIS) and metal plates, used to compare their scattering efficiency. -
WITT: A Wireless Image Transmission Transformer for Semantic Communications
The proposed WITT scheme is designed for wireless image transmission, and it uses the Swin Transformer as a backbone to extract long-range information.
