The future sixth-generation(6G) paradigm aims to seamlessly integrate communication and environmental sensing capabilities into a single radio signal, promising improved efficiency and cost-effectiveness through simul...
详细信息
The future sixth-generation(6G) paradigm aims to seamlessly integrate communication and environmental sensing capabilities into a single radio signal, promising improved efficiency and cost-effectiveness through simultaneous data communications and environmental perception. At the core of this evolution, orthogonal frequency division multiplexing(OFDM) and its advanced waveforms emerge as pivotal for integrated sensing and communications(ISAC). This study introduces a concise and unified ISAC waveform design framework based on orthogonal multicarriers. This framework supports versatile applications of OFDM and its derivative waveforms within a generalized ISAC system, marking a significant leap in integrating communication and sensing capabilities. A distinguishing feature of this framework is its adaptability,allowing users to intelligently select modulation strategies based on their specific environmental needs. This adaptability optimizes performance across diverse scenarios. Central to our innovations is the proposal of discrete Fourier transformspread OFDM with index modulation(DFT-S-OFDM-IM). This framework is paired with newly proposed signal processing methods for single-input single-output and multiple-input multiple-output(MIMO) systems. Extensive evaluations highlight DFT-S-OFDM-IM's superiority, including dramatically reduced peak-to-average power ratios(PAPRs), competitive communication performance, and exceptional sensing capabilities, striking an elegant balance between communication capacity and environmental sensing precision.
Manufacturing companies in particular, and technical enterprises in general, face a considerable number of risks in starting up and ensuring the continuity of the business. Aspects related to technological development...
详细信息
In machine learning, sufficient data must be acquired for learning purposes. However, obtaining large-scale datasets for all tasks is difficult. Therefore, emphasis has been placed on methods that can achieve highly a...
详细信息
Super-resolution methods that treat voxel objects as a set of two-dimensional (2D) representations by slicing them exist. These methods utilize information from neighboring slices for super-resolution, but exploiting ...
详细信息
Existing gaps in public policies related to the economy with low carbon emissions present an increased interest for analysis at the present time. There are still citizens and countries who are not familiar with this s...
详细信息
The article explores how to resolve challenges in putting together electrical cabinets, particularly in managing wires and cables, with a focus on deformable linear objects (DLO). The study combines complex systems de...
详细信息
In training image generators, autoencoders (AEs) are used to compress data into latent variables. However, when attempting to reconstruct video images, learning more complex distributions is necessary, and a simple mo...
详细信息
We propose an anomaly detection method that outputs the likelihood and coordinates of anomalous objects. Using general models to detect anomalous objects in videos often results in insufficient accuracy for both likel...
详细信息
In this study, we aim to improve the video generation quality by focusing on three problems in video generation with a deep generative model. First, the changing parts of an image from frame to frame, such as moving o...
详细信息
This paper presents an android application developed for engineering students aiming to help them develop their skills to correctly interpret roughness parameters and their measurements according to the ISO standards....
详细信息
暂无评论