Article
Computer Science, Information Systems
Minh Tri Nguyen, Long Bao Le
Summary: In this work, we study the joint optimization of multiple UAVs' trajectories, power allocation, user-UAV association, and user pairing for UAV-assisted wireless networks using NOMA for uplink communications. The goal is to minimize energy consumption while ensuring successful data transmission. We propose an iterative algorithm to solve the optimization problem, leveraging the BCD method and SCA method. Numerical results demonstrate the efficiency of our proposed algorithm.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Wei Wang, Nan Zhao, Li Chen, Xin Liu, Yunfei Chen, Dusit Niyato
Summary: In this paper, a time-efficient data collection scheme is proposed, where multiple ground devices upload their data to the UAV via uplink non-orthogonal multiple access (NOMA) to ensure timely information delivery. The scheme divides the total flight time of the UAV into N time slots and minimizes the duration of each slot through joint optimization. By decomposing the problem into two steps and using an iterative algorithm based on alternating optimization, the proposed scheme effectively optimizes data collection with UAV assistance.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Zhanpeng Zhang, Chen Xu, Zewu Li, Xiongwen Zhao, Runze Wu
Summary: With the help of UAV, remote terminals out of wireless coverage can be connected to IoT networks. The hybrid-powered networks composed of WPC terminal and solar-powered UAV can solve the energy supply problem, and NOMA technique can solve the massive access problem of IoT terminals. A DRL algorithm called FC-TDTA is developed to maximize fair network throughput by jointly considering energy limitation, QoS requirements, and flight conditions. Simulation results demonstrate the superiority of the proposed algorithm in fair throughput maximization.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Zhiguo Ding
Summary: This paper investigates UAV data collection systems with different multiple access schemes to maximize the minimum UAV data collection throughput from GNs. Proposed algorithms based on AO and penalty-based methods show improved performance compared to benchmark schemes, with NOMA outperforming OMA when GNs have sufficient energy.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Irfan Azam, Muhammad Basit Shahab, Soo Young Shin
Summary: A user pairing and power allocation technique is proposed for NOMA transmission in cellular-connected mobile UAVs and ground users to minimize energy consumption and guarantee transmission rates. The proposed energy-efficient pairing technique effectively fulfills the QoS requirements of both GUs and AUs in a network with performance gain in terms of energy efficiency, outage probability, and pairing complexity compared to conventional techniques.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Siqiang Wang, Zesong Fei, Jing Guo, Qimei Cui, Salman Durrani, Halim Yanikomeroglu
Summary: This work investigates the uplink transmission in a space-air-ground (SAG) communication network, aiming to maximize the energy efficiency through optimizing user association, power allocation, and UAV trajectory. The joint UA, PA, and UAV trajectory optimization algorithm is developed using the block coordinate descent method. Numerical results demonstrate the superiority of the proposed algorithm in terms of energy efficiency and convergence speed.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Hongjiang Lei, Chen Zhu, Ki-Hong Park, Weijia Lei, Imran Shafique Ansari, Theodoros A. Tsiftsis
Summary: This article examines the secure communication performance of nonorthogonal multiple access (NOMA) communication systems with aerial eavesdroppers. It investigates the ground-to-ground and ground-to-air scenarios and derives exact expressions for the secrecy outage probability.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Shuai Li, Fan Wu, Siyu Luo, Zhengrong Fan, Jienan Chen, Shengli Fu
Summary: This article proposes a two-level deep reinforcement learning framework to solve the trajectory planning problem in UAV-enabled wireless sensor networks.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Shuai Shen, Kun Yang, Kezhi Wang, Guopeng Zhang, Haibo Mei
Summary: This article investigates a system for data collection using multiple unmanned aerial vehicles (UAVs) in an Internet of Things (IoT) network. The system aims to minimize the number and operation time of UAVs by optimizing their trajectory and hovering location. The proposed algorithm combines a modified ant colony optimization (MACO) algorithm and the successive convex approximation (SCA) technique. Simulation results demonstrate the superiority of the algorithm.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Tianhao Wang, Xiaowei Pang, Jie Tang, Nan Zhao, Xiuyin Zhang, Xianbin Wang
Summary: This study proposes two schemes for data collection using UAVs, aiming to minimize flight cycle and maximize energy efficiency. The flight cycle is minimized by optimizing wake-up scheduling, trajectory, and time slot. Energy efficiency is maximized by introducing slack variables and applying SCA to approximate the optimization problems. Numerical results show that the flight cycle can be minimized while satisfying the data requirement in the first scheme, and the energy efficiency can be maximized with a trade-off between transmission data and propulsion power consumption in the second scheme.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Kai Liu, Jun Zheng
Summary: This article studies the trajectory planning problem of unmanned aerial vehicles (UAVs) in an environmental monitoring system and proposes an optimization algorithm that considers both the Age of Information (AoI) and the energy of the UAVs. Simulation results demonstrate the effectiveness of the proposed algorithm.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yu Pan, Xinyu Da, Hang Hu, Miao Zhang, Yangchao Huang, Guobing Cheng, Qiaoyan Kang
Summary: This paper studies a multi-UAV-assisted communication network, where UAVs serve as aerial access points for IoT nodes using non-orthogonal multiple access (NOMA) for uplink transmission. The research aims to maximize the average sum rate of the network while satisfying individual upload requirements for each node. The paper proposes algorithms combining spectral clustering and maximum weight matching for node clustering, and implements a time-varying NOMA user grouping scheme. Additionally, it solves the complex UAV trajectory problem through trajectory decomposition and a linear programming approach. Extensive simulations validate the effectiveness of the proposed algorithms.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Shuai Zhang, Weiqi Liu, Nirwan Ansari
Summary: This article studies a UAV-enabled IoT network where the UAV delivers energy to the IoT devices on the ground and collects data. The goal is to minimize the energy consumption of the UAV while meeting task collection and resource budget requirements by determining trajectory, charging power, resource allocation, and transmission scheme.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Zhenyu Na, Yue Liu, Jingcheng Shi, Chungang Liu, Zihe Gao
Summary: The article introduces a UAV-supported clustered nonorthogonal multiple access (C-NOMA) system where UAV acts as an aerial base station for IoT terminals. By synergistically planning UAV trajectory and subslot allocation, the goal is to maximize the uplink average achievable sum rate of IoT terminals.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yohan Kwon, Hoki Baek, Jaesung Lim
Summary: This paper investigates the deployment of wireless communication systems using UAVs, and proposes a new power allocation scheme and medium access control procedure for uplink NOMA in CSMA/CA networks to reduce the probability of packet collisions. The results show that the proposed scheme achieves better saturation throughput and average packet delay compared to conventional CSMA/CA.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Silan Li, Xiaoya Hu, Tao Jiang, Rongqing Zhang, Liuqing Yang, Hui Hu
Summary: This paper presents an analytical expression for hop count distribution (HCD) in a finite ad hoc network with minimum hop-count routing protocols. The proposed model, based on the equivalent area replacement method (EARM), accurately captures the HCD and outperforms existing formulations, especially when the source node is randomly distributed.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Ang Ji, Xu Guo, Rongqing Zhang, Jianjun Wu, Xiang Cheng
Summary: This paper studies the deployment of a high-altitude platform (HAP) as a supplement for terrestrial networks in the fifth-generation (5G) network. It focuses on serving both conventional terrestrial users (TUs) and unmanned aerial vehicles (UAVs) simultaneously. The paper addresses the challenges of HAP deployment and complex channel and resource allocation.
IET COMMUNICATIONS
(2023)
Article
Biochemistry & Molecular Biology
Bowen Shuai, Tingyue Deng, Liping Xie, Rongqing Zhang
Summary: In this study, a novel matrix protein named PNU5 was discovered to play a regulatory role in both prismatic layer and nacreous layer formation in Pinctada fucata. Functional studies showed that PNU5 might be involved in shell formation in a positive manner. Repression of pnu5 affected the structure of both layers, while the recombinant protein rPNU5 enhanced the precipitation rate of CaCO3 and altered the morphology of the crystals.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Biochemistry & Molecular Biology
Li Yi, Bing Zou, Liping Xie, Rongqing Zhang
Summary: This article investigates a novel vaterite stabilizer acidic matrix protein PNU7, which is found in both the prism and nacre of Pinctada fucata. The study shows that PNU7 can trigger the formation of stable vaterite even with a deficiency in Mg2+ and low Ca2+ levels. Moreover, increasing PNU7 in the calcium carbonate crystallization system leads to a decrease in crystal size and an increase in nucleation quantity. The results suggest that PNU7 not only plays a role in shell formation but also regulates the formation of nacre through surface energy minimization.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Geochemistry & Geophysics
Guozhi Xie, Haibo Yan, Guangming Li, Jia Guo, Fang Liu, Qian Chen, Rongqing Zhang, Lipeng Zhang
Summary: This study focused on the in-situ major and trace element and boron isotope compositions of tourmalines from two-mica granites in the Cuona area. The results indicated that tourmalines in the Cuonadong leucogranite crystallized earlier than those in the Cuona leucogranite during magmatic differentiation. The volatile contents of tourmaline were genetically related to incompatible elements, which led to tourmaline zonation and the enrichment of Sr, Zn, and Pb. The B isotopic composition of tourmaline suggested that the granitic magma was dominantly derived from the partial melting of the metasedimentary source rocks, and their B isotope variations were likely due to fluid exsolution during B-rich melt evolution. High rare metal contents in tourmalines indicated great mineralization potential in the two-mica granites of the Cuona area.
Article
Engineering, Chemical
Rongqing Zhang, Haifeng Chen, Qiang Yu, Yu Zhang, Fen Liu, Fan Wang, Xiaoyan Chen, Yunyun Liu
Summary: The recycling of bioactive compounds from Chinese herb residue is hindered by low extraction efficiency and high energy environmental impact. A microwave-assisted deep eutectic solvent (DES) extraction method was developed to enhance the extraction yield of bioactive compounds from cinnamon twigs residue. The optimal DES system of choline chloride/ethylene glycol achieved a significant increase in extraction yield, with a 41.528% and 41.443% improvement for cinnamic acid and cinnamic aldehyde, respectively, compared to traditional extraction processes. The extraction process was found to be a spontaneous, exothermic, and irreversible reaction, following a second-order kinetic model. Quantum chemistry analysis revealed that the extraction capacity relied mainly on hydrogen bonding force, and the difference in binding energy between the solvent and the target compounds explained the variation in extraction yields.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Xinge Li, Xiaoya Hu, Rongqing Zhang, Chunjie Zhou, Quan Yin, Liuqing Yang
Summary: This paper proposes a 5G network security analysis approach combining formal modeling and attack penetration to reveal the impact of network threats on 5G-based industrial systems. The approach establishes 5G network models based on topology and transmission events to handle diverse and hidden attack routes and behaviors. It integrates an attack module into the network model to exploit and quantify potential vulnerabilities. Simulation results identify and quantify network vulnerabilities under various attacks, and a threshold of access probability is found to measure the impacts of attacks on network reliability. The feasibility of the approach is further proven through a practical case study.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Biochemistry & Molecular Biology
Jingliang Huang, Yangjia Liu, Taifeng Jiang, Wentao Dong, Liping Xie, Rongqing Zhang
Summary: Molluscs rapidly repair damaged shells to ensure survival, but the control mechanism of this process is unclear. Using scanning electron microscope and histochemical analysis, this study examined shell regeneration in Pinctada fucata. Damage to the shell caused the mantle tissue to retract, resulting in the rearrangement of mantle zones and the alteration of shell morphology. The up-regulation of shell matrix protein genes and the change in CaCO3 dynamics promoted shell formation. This study reveals the relationship between mantle tissue activities and regenerated shell morphology.
JOURNAL OF STRUCTURAL BIOLOGY
(2023)
Review
Plant Sciences
Ning Yang, Qingyang Zhang, Jingyun Chen, Shilin Wu, Ran Chen, Liping Yao, Bailei Li, Xiaojun Liu, Rongqing Zhang, Zhen Zhang
Summary: Natural antioxidants, such as microalgal bioactive components, are preferred due to their non-toxic and effective properties. This study analyzed antioxidant research on microalgae-based bioactive compounds using a bibliometric approach. The findings highlight the most studied areas, including effectiveness, antioxidant mechanism, and applications in food, cosmetics, and medicine. Future trends focus on improving extraction rates and stability through altering the microalgae culture environment or incorporating chemicals like nanoparticles.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Computer Science, Information Systems
Zhiwei Wei, Bing Li, Rongqing Zhang, Xiang Cheng
Summary: This paper proposes an integrated charging and computing (IC2) architecture, which combines vehicular fog computing (VFC) and smart EV charging for optimization of electric vehicle (EV) charging and computing tasks in a smart grid. A multiattribute contract-based charging protocol is provided using contract theory, and a convex-concave-procedure-based contract optimization algorithm is designed. A heuristic offloading algorithm is also proposed for task assignment to heterogeneous EVs. Numerical results show that the proposed multiattribute contract-based charging-computing scheme effectively benefits both the charging stations and EVs, while improving task computation capability in the EV-integrated smart grid.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Geosciences, Multidisciplinary
Guozhi Xie, Haibo Yan, Rongqing Zhang, Kun Wang, Lipeng Zhang
Summary: This study examines two types of hydrothermal tourmaline (Tur-1 and Tur-2) and concludes that Tur-1 originated from a magmatic-hydrothermal fluid with little influence from surrounding rocks, whereas Tur-2 in the skarn involved more fluid from surrounding rocks. The findings have important implications for understanding the formation and ore-forming mechanisms of leucogranite.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Biology
Zhonghui Xia, Xin Zhang, Yujuan Zhou, Liping Yao, Zhen Zhang, Rongqing Zhang, Xiaojun Liu
Summary: In this study, a novel matrix protein cysrichin was cloned and shown to induce vaterite crystallization. Cysrichin plays an important role in shell formation of freshwater mussels, providing new insights into mineralization in these organisms.
Article
Computer Science, Information Systems
Zhiwei Wei, Bing Li, Rongqing Zhang, Xiang Cheng, Liuqing Yang
Summary: This article proposes a novel task-block-based offloading paradigm for vehicular fog computing, which reduces computation latency and solves the complex offloading problem through the overlapping matching coalition scheme.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Lingyun Zhou, Wenqiang Pu, Ming-yi You, Rongqing Zhang, Qingjiang Shi
Summary: In this paper, the problem of cooperative sensing via a system of multi-unmanned aerial vehicles (UAVs) is considered. Each UAV is equipped with a directional antenna to perform detection tasks for multiple targets. The detection probability is chosen as the metric to measure the system's perception ability, and the goal is to maximize the sum detection probability by optimizing UAVs' deployment and directional antenna orientations. To tackle the nonconvexity of the problem, it is decomposed into two sub-problems and efficient algorithms are developed using block coordinate descent and Gibbs Sampling approaches.
2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC
(2023)
Article
Computer Science, Information Systems
Zhiwei Wei, Bing Li, Rongqing Zhang, Xiang Cheng, Liuqing Yang
Summary: This article proposes a cooperative vehicular fog computing architecture called OCVC, which fully utilizes the potential resources of vehicular fog nodes to address the overload issue in computation-intensive tasks. Unlike traditional architectures, OCVC enables vehicles to participate in multiple computing groups simultaneously, utilizing resources in an overlapping manner. The article also presents a distributed OCVC scheme that employs the overlapping coalition formation game framework and a heuristic offloading algorithm to solve complex group formation, resource allocation, and task assignment problems, with simulation results showing better performance compared to other benchmarks.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
