Abstract: Herein, the Shuangqing-1(Luojia3-01) multimode imaging sample dataset is presented to address the problem of limited data types provided for user services by remote sensing satellites with the highest resolution. This dataset includes various imaging...
Abstract: Considering the electromagnetic spectrum congestion and serious interference, the Free Space Optical (FSO)-based Unmanned Aerial Vehicle (UAV) communication network constitutes an important part for the space-air-ground integration, attracting substa...
Abstract: With the evolution of mobile communication technology, the Sixth-Generation (6G) wireless networks will achieve a leap from the internet of things to the internet of intelligent things, meeting higher data demands and broader application scenarios. N...
Abstract: The olfactory and visual neural systems in Drosophila are highly sensitive to the olfactory and visual stimuli in the natural environment. The highly sensitive single-modal perception and cross-modal collaboration decision-making mechanisms of the ol...
Abstract: To address the issue of dramatic fluctuations in user experience in legacy cellular networks, cell-free and legacy coexistence networks deploy Access Points (APs) into cellular networks, which can significantly improve the coverage signal quality of ...
Abstract: The architecture of Mobile Edge Computing (MEC), assisted by Unmanned Aerial Vehicles (UAVs), is an efficient model for flexible management of mobile computing-intensive and delay-sensitive tasks. Nevertheless, achieving an optimal balance between ta...
Abstract: In order to address the low spectral efficiency and inefficient link utilization problem in cooperative relay communication system, a Backscatter-NOMA enabled hybrid multicast-unicast cooperative transmission scheme is proposed for the scenario of co...
Abstract: An air-ground collaborative integrated sensing and communication system is studied, where the air-ground collaborative network is composed of an Unmanned Ground Vehicle (UGV) base station and Unmanned Aerial Vehicle (UAV) relays. The network provides...
Abstract: Benefiting from rich spectrum and lamps, Integrated Visible Light Communication and Positioning (IVLCP) systems provide powerful technological solution to meet the high performance communication and positioning in indoor wireless networks. Meanwhile,...
Abstract: The considered Backscatter Communication (BackCom) system consists of one dedicated radio frequency source node, some tags and one destination node. In consideration of the Channel Estimation Error (CEE), the tag selection scheme in which the tag sel...
Abstract: A joint constellation trace diagram and deep learning-based blind modulation detection scheme is proposed for Non-Orthogonal Multiple Access (NOMA) systems, which can avoid the required expensive signaling overhead in successive interference cancella...
Abstract: Orthogonal Time Frequency Space (OTFS) can convert the doubly-selective channels into non-selective channels in the Delay-Doppler (DD) domain, which provides a solution for establishing reliable wireless communication in high-mobility scenarios. Howe...
Abstract: To achieve an accurate characterization and thorough understanding of the millimeter-Wave (mmWave) communication channel propagation mechanism, precise characterization of diffuse scattering propagation and polarization is crucial. These aspects are ...
Abstract: To meet the escalating demands for efficient communication and reliable sensing, a Reconfigurable Intelligent Surface(RIS)-assisted Simultaneous Wireless Information and Power Transfer(SWIPT)-Non-Orthogonal Multiple Access(NOMA) system is proposed in...
Abstract: In recent years, time-modulated array has aroused much attention due to its superior performance on vector control. Based on the time modulation method, a type of reconfigurable backscattering communication system based on time modulation technique i...
Abstract: The existing parasitic backscatter communications rely on the direct links between transceivers and do not work when the direct links are blocked or fade deeply. To solve this problem, a relay-assisted parasitic backscatter communication network is p...
Abstract: Energy Efficiency (EE) is an important design metric for 5G+/6G wireless communications, and Reconfigurable Intelligent Surface (RIS) is widely recognized as a potential means to improve EE. Unlike passive RIS, hybrid RIS consists of both active and ...
Abstract: In order to improve the service completion rate of mobile nodes and the efficiency of network resource allocation in maritime heterogeneous wireless network, a network access selection algorithm based on Hilbert space vector assignment is proposed to...
Abstract: The Unmanned Aerial Vehicle (UAV)assisted over-the-Air Computation(AirComp) system provides an effective solution for the fast aggregation of large-scale and distributed data. In this paper, a joint trajectory planning and power optimization method t...
Abstract: Due to its unique advantages of strong survivability and seamless coverage, Satellite Communication (SatCom) can make up for the shortcomings of ground communication such as terrain limitations and small coverage, and has become increasingly importan...
Abstract: Access latency and complexity in the satellite Internet of Things (IoT) are significantly reduced by the grant-free uplink random access based on Slotted ALOHA (S-ALOHA). However, with the increase of the number of IoT users, the collision probabilit...
Abstract: Combining Intelligent Reflective Surface (IRS) with massive MIMO can guarantee and improve the performance of millimeter-wave communication systems. An adaptive full-channel estimation method is proposed for the Base Station (BS)-user direct-connect ...
Abstract: A novel method for evaluating interference performance based on Transfer Learning(TL) and parameter optimization is proposed to address the limitation of single evaluation results obtained using traditional error rate assessment in digital communicat...
Abstract: Focusing on the problems of difficult cooperation between vehicles, low quality of the model trained by cooperation and poor effect of direct application of the obtained results to physical vehicles in the process of path planning for multiple Autono...
Abstract: In response to the challenges posed by the deformation of flexible polarized array antennas, which results in difficulties in beam reconstruction and compromised beam performance, polarization beam online reconstruction technique based on flexible de...
Abstract: To solve the problems of long runtime, low spectral rate and high bit error rate, which exist in conventional hybrid beamforming schemes, a hybrid beamforming algorithm based on Limited-Broyden-Fletcher-Goldfarb-Shanno (LBFGS) is proposed. Firstly, a...
Abstract: For the analysis problem of large antenna arrays with radomes, based on the equivalence principle and mode matching theory, the wave port model of Multilevel Fast Multipole Algorithm (MLFMA) is established, and the accurate electromagnetic modeling o...
Abstract: Very low frequency has great potential for long distance signal transmission and military communications due to its low propagation loss characteristics. Magneto-Electric (ME) antennas, based on the acoustic resonance principle, can push the limits o...
Abstract: DNA molecules have the advantages of high density and stability, and are expected to become the medium for the next generation of massive data storage needs, which has received widespread attention in recent years. Currently, primers are used as the ...
Abstract: To reduce the influence of background and occlusion on the accuracy of pedestrian identity Re-IDentification (ReID) and make full use of the complementarity between fine-grained and coarse-grained information, a multi-scale occluded pedestrian ReID n...
Abstract: In a human-centered smart factory, perceiving and understanding workers’ behavior is crucial, as different job categories are often associated with work time and tasks. In this paper, the accuracy of the model’s recognition is improved by combining t...
Abstract: Spiking Neural Networks (SNN) have a signal processing mode close to the cerebral cortex, which is considered to be an important approach to realize brain-inspired computing. However, the lack of effective supervised learning algorithms for deep spik...
Abstract: Deep spatiotemporal sequence prediction methods that incorporate a priori physical knowledge are commonly characterized by the utilization of Partial Differential Equations (PDE) for modeling. However, two main issues are concerned: (1) the limited p...
Abstract: In edge computing networks, to stimulate the Edge Computing Nodes (ECNs) to assist in computation offloading to relieve the pressure of computing Service Provider (SP), a forward transaction oriented incentive mechanism is studied. Considering that t...
Abstract: An intelligent semantic location privacy protection method based on 3D Geo-Indistinguishability (3D-GI) is studied for the privacy leakage problem of sensitive semantic locations (such as medicine stores and bookstores) in 3D space location-based ser...
Abstract: Anomaly detection is an important task to maintain cloud data center performance. A large number of cloud servers are running in cloud data centers to implement various cloud computing functions. Since the performance of cloud data centers depends on...
Abstract: Considering the problem that the performance of the traditional abnormal traffic detection models is limited by the low utilization of spatiotemporal features of traffic data, an abnormal traffic detection method MSECNN-BiLSTM based on the combinatio...
Abstract: E2 is one of the 15 candidate algorithms in the first round of AES, which has the characteristics of excellent software and hardware implementation efficiency and strong security. The meet-in-the-middle attacks on E2 are carried out in this paper by ...
Abstract: Considering the problem that traditional Field Programmable Gate Array (FPGA)-based Convolutional Neural Network(CNN) accelerators in computer vision are not adapted to Vision Transformer networks, a unified FPGA accelerator for convolutional neural ...
Abstract: In the research on utilizing emerging non-volatile storage arrays for in-memory computing, the latency of in-memory multipliers often exhibits exponential growth with increasing bit width, and significantly impacts the computational performance. A Vo...