Abstract: In the past decades, the scope of Internet of Things (IoT) is expanded continuously. With hundreds of billions of smart devices connect to IoT, huge challenges are arisen from several aspects such as device cost, connectivity capability, and power su...
Abstract: Recently, passive backscatter communication technology has attracted extensive attention as one key technology for green Internet of Things. In one typical backscatter communication system, there may exist Carrier Frequency Offset (CFO) between the r...
Abstract: To model the radio wave propagation within channels of Backscatter Communication (BackCom) systems with Intelligent Reflecting Surface (IRS) included, an efficient hybrid method based on the Parabolic Equation (PE) method and Method of Moment (MoM) i...
Abstract: To improve spectrum transmission efficiency and suppress the effect of channel uncertainties, a throughput-maximization algorithm is proposed for Cognitive Backscatter Communication with imperfect channel state information. Firstly, considering the c...
Abstract: In order to alleviate problem of users’ energy shortage in edge computing networks, a computing task offloading and resource allocation scheme in Unmanned Aerial Vehicle (UAV)-assisted backscatter communication network is proposed. Firstly, a problem...
Abstract: Ambient backscatter cellular network can support both cellular communication and ambient backscatter communication, which has a broad application prospect, but there is serious interference between ambient backscatter signals and cellular network sig...
Abstract: The outage performance of the primary and secondary systems in a commensal symbiotic radio network with energy harvesting is investigated. First, on the basis of the energy-causality constraint of the secondary user, the signal-to-noise ratios to dec...
Abstract: The combination of Unmanned Aerial Vehicle (UAV), Non-Orthogonal Multiple Access (NOMA), and Backscatter Communication (BC) can meet the high capacity demand and improve the communication quality in hotspots. A max-min rate optimization algorithm is ...
Abstract: To solve the problems of high power consumption, requiring manual maintenance and frequent battery replacement of traditional Internet of Things (IoT) communication device, a passive WiFi IoT backscattering communication method based on electromagnet...
Abstract: Helmet antenna is a kind of antenna that is conformal to individual wearable helmet with unique man-made structure or material. It is the core component of individual soldier wireless communication system. In most of the current schemes of helmet ant...
Abstract: Brain-Computer Interface(BCI) establishes a direct communication pathway between the brain and external devices without relying on peripheral nerves and muscles. In recent years, great breakthroughs in recognition accuracy and system interaction rate...
Abstract: In order to reduce the Peak-to-Average Power Ratio (PAPR) and improve the security of the Orthogonal Time and Frequency Space (OTFS) system, a low PAPR secure transmission method based on the U matrix transformation in OTFS system is proposed in th...
Abstract: Collision avoidance tasks in intelligent driving have challenges such as extremely high latency requirements and privacy protection. First, a Gated Recurrent Unit_Support Vector Machine (GRU_SVM) collision multi-level warning algorithm based on Semi-...
Abstract: To meet the network requirements and improve the utilization of system spectrum, a Cognitive Radio Non-Orthogonal Multiple Access (CR-NOMA) technology is proposed. To investigate the system reliability, NonLinear Power Amplification (NLPA), incomplet...
Abstract: Considering the problem of data congestion in mobile networks caused by the rapid growth of smart applications in Internet of Things (IoT), a cloud-fog hybrid computing model based on cluster-collaboration is constructed. The cluster load balancing i...
Abstract: Considering the problem of how to take into account the accuracy and timeliness of Controller Area Network(CAN) anomaly detection under the constraints of limited vehicle resources, an adaptive optimization method for CAN anomaly detection is propose...
Abstract: To solve the problem of severe transmission attenuation of TeraHertz (THz) links, and the performance degradation of traditional channel estimation schemes caused by beam squint in wideband systems, a multi-user THz communication model assisted by Re...
Abstract: Based on the assumption of perfect transceiver hardware, the hybrid precoding of millimeter wave massive Multiple-Input Multiple-Output (MIMO) system has been extensively studied. However, the residual hardware impairments caused by non-ideal charact...
Abstract: The Internet of Vehicles(IoV) edge computing can provide low-latency services for vehicle users by deploying computing resources at the edge of the network. In this paper, the delay and data backlog performance of vehicular edge computing of the IoV ...
Abstract: An identification method of Line-of-Sight (LOS) propagation for indoor localization at millimeter band is proposed in this paper. Based on beam training process, the proposed method identifies the LOS clusters in power angular spectrum. After cluster...
Abstract: The service content in the Internet of Vehicles scenario is massive and highly dynamic, which makes the traditional caching mechanism unable to perceive better the dynamic changes of the content, and the contradiction between the huge number of acces...
Abstract: Considering the problems of a predictable primary node, high communication complexity, and lack of punishment mechanism for malicious nodes in Practical Byzantine Fault Tolerance (PBFT) algorithm, a consortium chain Byzantine Fault-Tolerant algorithm...
Abstract: In order to solve the problem that the positioning performance of the closed solution algorithm can not reach the Cramer Rao Lower Bound (CRLB) and the initial value selection of Newton iterative algorithm in the underwater three-dimensional position...
Abstract: The imaging method of low-orbit bistatic SAR based on Frequency Modulated Continuous Wave (FMCW) signal is studied in this paper. The spaceborne bistatic model has the feature of transceiver separation and flexible structure. The nonlinear motion tra...
Abstract: Multi-band Polarimetric Synthetic Aperture Radar (Multiband-PolSAR) has the capability to obtain multiple observations of ground objects in the two dimensions of frequency and polarization with potential applications in ground information extraction....
Abstract: Due to the unknown influence of Inter-Carrier Interference (ICI) on the signal in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) underwater acoustic communication systems, the receivers have problems with incomp...
Abstract: The pattern recognition technology have been widely used in target detection within sea clutter, and the binary pattern recognition algorithm will face the dilemma of catgory disequilibrium when dealing with this problem. The traditional method expan...
Abstract: The authenticated encryption algorithm MORUS is one of the finalists of Competition on Authenticated Encryption: Security, Apllicability, and Robustness (CAESAR). The ability to resist differential analysis is one of the important indicators to evalu...
Abstract: Secure aggregation is a key step to ensure the security and privacy of local model aggregation in federated learning security sharing. However, the existing methods have many problems, such as high computational overhead, poor fairness mechanism, pri...
Abstract: Encryption authentication is generally adopted to ensure the security of traditional satellite Telemetry Track and Command (TT&C). However, several security limitations remain to be improved such as identity counterfeiting and deception. A satell...
Abstract: In complex visual scene, the performance of existing deep convolutional neural network based methods of salient object detection still suffer from the loss of high-frequency visual information and global structure information of the object, which can...
Abstract: Collaborative representation based classifier and its variants exhibit superior recognition performance in the field of pattern recognition. However, their success relies greatly on the balanced distribution of classes, and a highly imbalanced class ...
Abstract: Nowadays, artificial intelligence is in the era of big data-driven manner. Machine learning algorithms with deep neural networks as the mainstream have achieved great development and achievements. However, data-driven artificial intelligence still fa...
Abstract: It is important for the future development of intelligent robots to expand tactile perception ability, which determines the scope of application scenarios for robots. Tactile data collected by tactile sensors are the basis of robotics work, but these...
Abstract: In the study of sampling and reconstruction of hyperspectral images, global sampling and fixed block sampling do not take into account the complex texture distribution of hyperspectral images, and the use of the same measurement matrix results in poo...
Abstract: Because of the time complexity and space complexity of dynamic gesture data, traditional machine learning algorithms are difficult to extract accurate gesture features; The existing dynamic gesture recognition algorithms have complex network design, ...
Abstract: The analysis of pathological images is of great significance for the diagnosis and prognosis of gastric cancer. However, its clinical application still faces challenges such as low consistency of visual reading and large differences in multi-resoluti...
Abstract: Considering the Event Detection Problem (EDP) in the large-scale Wireless Sensor Network (WSN), the conventional methods rely generally on some prior information, which obstacles the actual application. In this paper, a deep learning-based algorithm,...
Abstract: In view of the underground coal mine environment, which uses mostly infrared cameras to sense the surrounding environment’s temperature, the images formed have the problems of less texture information, more noise, and blurred images. The detection of...
Abstract: The existing spatio-temporal information based user matching schemes for cross social networks have problems of spatio-temporal information decoupling and feature extraction difficulties, which result in a decrease in matching accuracy. A Deep Learni...
Abstract: Based on the component characteristics of Hewlett Packard(HP) memristor, the mathematical relationship formula of HP memristor is analyzed. There is an incremental linear relationship between the internal state variables of HP memristor components an...
Abstract: Memristor is a very suitable electronic component for synapse of neural network because of its adjustable resistance, memory property and nano size. In order to build a memristor model more consistent with the characteristics of real physical memrist...