Precoding Based Interference Suppression for Heterogeneous Multi-Tiered Network by Pinyi Ren, Qinghe Du, Pinyi Sun, Datong Xu

“…The coexistence of conventional marcro cells and lowpower small cells form the heterogeneous multi-tiered networks, which can significantly improve the capacity of wireless communications systems. However, the interferences between the marco cells and small cells due to sharing the same frequency band severely degrade the quality of communications and prevent the system capacity from being further enhanced. …”
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Performance Analysis for Priority-Based Broadcast in Vehicular Networks by Rinara Woo, Jung-Hoon Song, Dong Seog Han

“…Firstly, an analytical Markov chain model for vehicle-to-vehicle (V2V) ad hoc communication networks is proposed for broadcasting messages with priority based on the IEEE 802.11p wireless access for vehicular environments (WAVE) standard. …”
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Binary Image Data Hiding Using Matrix Encoding Technique in Sensors by Phan Trung Huy, Cheonshik Kim

“…It is very important to protect the copyright of digital images in wireless transmission, because people often use a smart phone in their daily life. …”
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V-BAG: A virtual bandwidth aggregation scheme for Internet of Things data by Yongsu Gwak, Young Yong Kim, Ronny Yongho Kim

“…The estimator provides an accurate delay and bandwidth estimation of heterogeneous wireless links using network layer information. Finally, the ACK buffer substantially boosts the performance of the scheduler and estimator with a simple ACK buffering scheme. …”
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Improved Pilot-Aided Channel Estimation for MIMO-OFDM Fading Channels by J. Mar, Chi-Cheng Kuo, M. B. Basnet

“…The space-frequency block code-OFDM (SFBC-OFDM) system and a six-path fading channel model are considered as an example of the high mobility MIMO-OFDM wireless communications system. Through simulations it is shown that SFBC-OFDM system using the proposed approach can satisfy the performance requirements over frequency selective and frequency nonselective fast fading channels.…”
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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

“…Through this dual-stage optimization, performance was significantly enhanced under conditions of multitasking and dynamic wireless channels, improving computational efficiency. …”
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Design of a Narrow Bandwidth Bandpass Filter Using Compact Spiral Resonator with Chirality by Weiping Li, Zongxi Tang, Xin Cao

“…By comparing to other filters in the references, it is shown that the proposed filter has the advantage of skirt selectivity and compact size, so it can be integrated more conveniently in modern wireless communication systems and microwave planar circuits.…”
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RESEARCH IN DESIGNING CONTROL SMART HOME SYSTEM by Võ Minh Phụng, Dương Thị Thanh Hiên, Võ Tiến Phúc

“…In this study, the authors built a model smart home system capable of receiving signals from environmental sensors by connecting the electrical equipment in the house to a network through wireless technologies, such as Bluetooth and Global System Mobile (GSM). …”
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Research on Torsional Fatigue Test Method of Electric Vehicle Differential based on Actual Driving Load by Xihong Zou, Jinxiao Li, Qiuyang Hu, Shuaijie Xi, Lingfeng Fu, Dongmei Yuan

“…According to the actual torsion load of electric vehicle differential， a torsion fatigue test system of electric vehicle differential based on hydraulic servo is designed. A wireless telemetry system is used to collect the axle shaft torque of electric vehicle in Dianjiang test site according to Pascal test specification. …”
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A Framework for an IP-Based DVB Transmission Network by Nimbe L. Ewald-Arostegui, Gorry Fairhurst, Ana Yun-Garcia

“…One of the most important challenges for next generation all-IP networks is the convergence and interaction of wireless and wired networks in a smooth and efficient manner. …”
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Two-Stage Fault Diagnosis Method Based on the Extension Theory for PV Power Systems by Meng-Hui Wang, Mu-Jia Chen

“…The primary strategy is to utilize the diagnosis array of daylight identification and to use light scanning of the damage array at night. Via wireless network the data is transmitted back to the diagnosis system for identifying the location of damaged module. …”
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On the Implementation of a Dynamic Direction Modulation System with Vector Modulators by Edith Annette Cabrera-Hernández, Josep Parron, Alan Tennant

“…Dynamic directional modulation (DDM) has already proven to be an efficient technique to achieve physical layer security in wireless communications. System architectures based on vector modulators provide a flexible framework to implement synthesis methods that allow us to obtain increased security and/or independent multichannel transmissions. …”
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An Optimal Electric Dipole Antenna Model and Its Field Propagation by Yidong Xu, Lili Guo, Wei Xue, Korochentsev Vladimir, Junwei Qi

“…Optimum frequency for field transmission in different depth is carried out and verified by the experimental results in comparison with previously reported simulation over a digital wireless Through-The-Earth communication system. The experimental results demonstrate that the dipole antenna grounding impedance and the output power can be efficiently reduced by using the optimal electric dipole antenna model and operating at the optimum frequency in a vertical transmission depth up to 300 m beneath the surface of the earth.…”
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Lifetime Optimization of an Indoor Surveillance Sensor Network Using Adaptive Energy-Efficient Transmission by Guifang Qiao, Guangming Song, Ying Zhang, Jun Zhang, Jin Peng

“…The omnirobots and static monitoring nodes form a surveillance sensor network which comprises several star-like wireless sensor networks. The static monitoring nodes sleep periodically and can be woken up by the pyroelectric infrared sensor. …”
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5G urban rail traffic scenario classification and channel modeling by Ruisi HE, Bo AI, Zhangdui ZHONG, Mi YANG, Chen HUANG, Zhangfeng MA, Guiqi Sun, Hang MI, Chengyi ZHOU, Ruifeng CHEN

“…Urban rail traffic is an important part of modern transportation infrastructure.As a new generation of mobile communication technology, 5G can provide high data rate and low latency wireless transmission, which helps to improve the efficiency and service quality of urban rail traffic system.Due to the complexity of urban rail traffic scenarios, accurate communication scenario classification, channel characterization and channel models are required to provide theoretical support for the design of urban rail traffic 5G communication systems.The classification of 5G urban rail traffic radio propagation scenarios to support channel measurements and modeling was proposed.Current status of urban rail traffic channel measurements and modeling was shown, and the current challenges were analyzed.The applications of artificial intelligence in channel feature extraction and channel modeling were discussed, and the 5G urban rail traffic channels by considering reconfigurable intelligent surface and unmanned aerial vehicle were analyzed.Finally, the research on 5G urban rail traffic channel modeling at millimeter wave frequency band was described.…”
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Link Layer Time-Varying Model for IEEE 802.15.4 Radio in Industrial Environment by Wan Yadong, Duan Shihong

“…IEEE 802.15.4 PHY has been widely used in wireless sensor networks. In-depth investigations on the link layer characteristics are important for WSN protocol design. …”
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V2X offloading and resource allocation under SDN and MEC architecture by Haibo ZHANG, Zixin WANG, Xiaofan HE

“…To address the serious problem of delay and energy consumption increase and service quality degradation caused by complex network status and huge amounts of computing data in the scenario of vehicle-to-everything (V2X),a vehicular network architecture combining mobile edge computing (MEC) and software defined network (SDN) was constructed.MEC sinks cloud serviced to the edge of the wireless network to compensate for the delay fluctuation caused by remote cloud computing.The SDN controller could sense network information from a global perspective,flexibly schedule resources,and control offload traffic.To further reduce the system overhead,a joint task offloading and resource allocation scheme was proposed.By modeling the MEC-based V2X offloading and resource allocation,the optimal offloading decision,communication and computing resource allocation scheme were derived.Considering the NP-hard attribute of the problem,Agglomerative Clustering was used to select the initial offloading node,and Q-learning was used for resource allocation.The offloading decision was modeled as an exact potential game,and the existence of Nash equilibrium was proved by the potential function structure.The simulation results show that,as compared to other mechanisms,the proposed mechanism can effectively reduce the system overhead.…”
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UFIR Filtering for GPS-Based Tracking over WSNs with Delayed and Missing Data by Karen Uribe-Murcia, Yuriy S. Shmaliy, Jose A. Andrade-Lucio

“…The UFIR filter is developed for vehicle tracking in discrete-time state-space over wireless sensor networks (WSNs) with time-stamped data discretely delayed on k-step-lags and missing data. …”
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Reconfigurable Articulated Robot Using Android Mobile Device by A.H. Rajpar, Ahmad. E. Eladwi, Imran Ali, Mohamed Bashir Ali Bashir

“…To implement the system, an Android platform for the manual control of an articulated robot using wireless Bluetooth technology was developed. This application allows the user to manually reconfigure the robot following the requirements of the integrated system via a user-friendly display. …”
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: An IoT Driver Framework for Supporting Sensor Networks and Data Analysis by László Lengyel, Péter Ekler, Tamás Ujj, Tamás Balogh, Hassan Charaf

“…The IoT represents the convergence of advances in miniaturization, wireless connectivity, and increased data storage and is driven by various sensors. …”
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