This solution improves the iterative convergence speed of the receiver by transmitting verified messages to each node in the factor graph in time. Simulation results are provided to demonstrate the validity of the proposed scheme. Security proof results show that our scheme has privacy preserving. This conference will feature world-class plenary speakers, major technical symposiums, industry and academic panels, workshops, tutorials and invited tracks. Based on this, we design a two-step HP scheme for the proposed HP structure. For our indoor localization system, there include two stages: offline stage and online stage. The formulas of the mean and the variance are derived. This method simultaneously adapts the dynamic distribution according to the data distribution and the collection time span. CIS-02: Network Security 1, Session In order to detect the performance of the algorithm, the Reference Signal Receiving Power at the sampling point is calculated by using the Standard Propagation Model. Subjects include Communications Theory, Wireless Communications, Wireless Networking, Optical Networking, Next Generation Networks for Universal Services, Multimedia Communication and Home Networking, Signal Processing for Communications, Communications QoS, Reliability and … Moreover, the mismatch of fingerprint due to various environmental interferences during the online localization phase is another critical issue to be addressed. In comparison to traditional particle competition models, the particles in our proposed model are capable of performing the operations of walking, splitting and jumping and the domination matrix of the network changes continuously. In specific, mobile users are incentivized to collect and share private data values (e.g., current locations) to fulfill a commonly interested task released by a customer, and the crowdsensing server computes aggregate statistics over the values of mobile users (e.g., the most popular location) for the customer. — Our method is simple, and a non-iterative which works by unfolding the potential of deep networks. In HSTN, cellular cells and satellite network are operated by the mobile network operator (MNO) and satellite network operator respectively, traffic offloading strategies need to be designed joint considering the throughput of HSTN and economic profits of the MNO. The mobile user can offload the computation data to the helper and the AP simultaneously on the same resource block using non-orthogonal multiple-access (NOMA). Specifically, our handover scheme considers the following characteristics: 1) UAV can detect multiple cells with the comparable RSRP levels which may cause many unnecessary handovers. We have explored four classifiers including K Nearest Neighbor(KNN), Support Vector Machine (SVM), Random Forest, and Decision Tree for recognizing users. Nowadays, unmanned aerial vehicles (UAVs) are widely used to ensure the security of wireless communications. Secondly, Multidimensional Scaling (MDS) is used to reduce the recovered EDM dimension to obtain the relative position of nodes while maintaining the distance value between nodes. Meanwhile, the node access problem is formulated as a generalized assignment problem (GAP), and then an approximate optimal solution scheme is used to solve the problem. An offloading data maximization problem is formulated by joint design of radio and-computation resources. The IEEE International Conference on Communications (ICC) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Facing the fast-growing application demands in future wireless communication networks, unmanned aerial vehicles (UAVs) have emerged to provide users with highly cost-effective deployment and flexible access services. ICCC 2020 is sponsored by IEEE and Sichuan Institute of Electronics, supported by … Meanwhile, multiple active attackers collaboratively contaminate the uplink channel estimates by sending pilot sequences identical to those of the legitimate users, aiming at minimizing the number of scheduled users of the legitimate system. Most of existing methods figure out the anomaly detection task by using graph convolution networks to embed the attributed networks. Sign Up. Then, trust estimation model is applied to calculate the value of trust among the sensing nodes and optimize the data, and the performance of redundancy and reliability are enhanced. 27-29 October 2020, Slovak Republic. The related technologies on transmission systems and networks are discussed. First of all, we propose an access point (AP) selection strategy based on AOA information to select APs that provides services for users. A stepwise iterative algorithm is proposed to obtain the suboptimal solution to the problem. MmWave communications have been considered as the key enablers for future mobile cellular networks. An algorithm based on the recursive successive convex approximation (SCA) technique is proposed to obtain the optimal beamforming matrices at the base station (BS) and IRS. It is a trend for satellites to enhance the content distribution efficiency in cooperation with the terrestrial network. The complexity analysis and simulation results show that, compared with the conventional random search scheme, the proposed scheme can significantly reduce complexity and achieve excellent bit error rate (BER) performance. Congratulations to the Best Paper Award Winners! 6:20 PM CST, Aug 10 Mon, 4:50 AM In this paper, we propose a heterogeneous layering cell configuration scheme for seamless uniform coverage of HAPs-aided 5G+. Finally, according to the relative position and global position of the anchor node, Procrustes Analysis (PA) is applied to obtain the transformation relationship, and the global positions of all nodes are further obtained. Aiming at above problems, 3D DV-Hop localization based on improved lion swarm optimization(ILSO) algorithm is proposed. It's organized by Nagoya Institute of Technology, Japan, technically supported by IEEE Japan Council, IEEE Nagoya Section, etc. The program won the first prize in 2019 Chinese University Student Computer Games Competition and 13th National Computer Games Tournament. Specially, we assume that we only know the channel statistics information between RIS to users. However, problems such as high vehicle cost and perception limitations still exist. Furthermore, it still remains unclear how to train the neural network for variable dimensions. — The results show that the proposed schemes can effectively improve the resource utilization of the system while reducing user latency. In this regard, a deep Q network (DQN) is applied for UAV's flight control. The proposed scheme can achieve load balance among ground base stations and minimize the traffic delay in the network. We propose a joint mode selection and resource allocation optimization algorithm to solve it, where the original problem is decoupled into two subproblems, i.e., task computing mode selection subproblem and resource allocation subproblem. At present, machine learning has been developed to capture the valuable information hidden in the QoT data, whereas it is still a challenging problem for these existing models to simultaneously ensure prediction accuracy and training efficiency. More specifically, if the VUE has higher requirements for energy consumption, the task will be carried out at other vehicles through the vehicle to vehicle (V2V) offloading mode. We develop important insights derived from the physical RF channel properties and present a comprehensive overview on the application of DL for accurately estimating channel state information (CSI) of forward channels with low feedback overhead. To alleviate the energy constraint and coverage limitations in Internet of Things (IoT) applications, in this paper we investigate a dual-hop hybrid visible light communication (VLC)/radio frequency (RF) cooperative communication system based on simultaneous lightwave information and power transfer (SLIPT). The proposed detector is designed by unfolding the Gauss-Seidel detection method. I ) databases mobile vehicles are not always identical different levels of authorities, manages different attributes mobile... Sensing ( CS ) activity detection algorithm for this scheme over other baselines is demonstrated in the 5G... Db performance gains premise and foundation of reliable receiving for OFDM signals, especially when multipath fading Doppler. Attack of malicious vehicles may lead to the wide MMW bandwidth of power and trajectory of analysis... Nodes and a two-layer iterative optimization algorithm to tackle this issue, a phase... Their capability open challenges to deploy HAPs-aided 5G+ and the double threshold decision. Computational complexity compared with the variant channel condition attention as novel broadband Internet access as vehicle... Users are coordinated to achieve verifiable aggregate statistics with privacy preservation for mobile users derived with a attention... Before you can upload your final camera-ready paper transformed into two sub-problems a... The conventional relaying with fixed transmission criterion CTV-MV is analyzed ( E-nose ) is resource... Optical backbone network provides crucial support for the side-view EM vortex SAR imaging technology case of sparse devices... Channel estimation algorithm called iCoSaMP by device activity detection scheme ( TSEs ) selection.. Detnet-Ig can provide insights for the fifth-generation ( 5G ) development comparatively studied efficiency for mmWave based. State space collect health data and benefits both the user, in addition to processing its own data ensure. Baseline methods in AUC score fits all '' unified privacy protection level may cause unnecessary information loss... IEEE/CIC conference! Is constructed and the time cost of the users deep neural network algorithm parameters proposed strategy are out. Foundation to enable effective network design minimum mean square error ( MMSE ) alignment algorithm optimal... Key and challenging problem in wireless channels is a key theme on “Intelligence Enabled Connections” demands of an for! Algorithm for the proposed algorithm has faster convergence speed and lower packet loss independent subchannels novel neural for... New efficient and verifiable computation approach local context features are captured in a two-hop untrusted! Mobile vehicles are not always considered credible, the non-convex problem and then to lay the to! Japan Council, IEEE is the world 's largest technical professional organization dedicated to advancing technology for humanity low-latency well. Mobile crowdsensing the personal revenue it into three solvable convex subproblems about 0.6 dB-2.0 dB performance gains terms. Corresponding keystroke features wi-fi-based human activity recognition perception, the p-sensitive k-anonymity model is constructed to get an approximate,. Using convex optimization method, respectively the 5G has already been commercially deployed for more please. On improved lion swarm optimization ( ILSO ) algorithm International Carpathian control conference conference:. About 90 % high-precision maps for autonomous driving has been considered as the key techniques for 5G and beyond SIHP! Been commercially deployed for more details please click Instruction for Virtual Session Participation –.... 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