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Author details

Chen Xu

Publications

72

Citations

2,811

Publications by Year

20112025

Co-Authors:

Adam Mohamed Ahmed AbdoDavid A. BaderZheng ChangYinong ChenYingyang Chen

Show All Co-Authors (117)

Chen Xu

Affiliation

National Engineering Laboratory for Mobile Network Technologies

School of Information and Communication Engineering

Beijing University of Posts and Telecommunications, Beijing, China

Publication Topics

Unmanned Aerial Vehicles,
Deep Reinforcement Learning,
Internet Of Things,
Optimization Problem,
Time Slot,
Actor Network,
Bandwidth Allocation,
Critic Network,
Unmanned Aerial Vehicle Trajectory,
Ablation Experiments,
Bandwidth Resources,
Base Station

Biography

Chen Xu (Member, IEEE) received the B.S. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2010, and the Ph.D. degree from Peking University, Beijing, in 2015.,She is currently a Lecturer with the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing. Her research interests mainly include wireless resource management, heterogeneous networks, and cooperative communication and computing.,Dr. Xu served as a TPC member for IEEE Globecom 2016, IEEE ICC 2016, and so on. She was a recipient of the Best Paper Award at the 2012 International Conference on Wireless Communications and Signal Processing (WCSP), IEEE Leonard G. Abraham Prize in 2016, the First Prize of Natura...

Publications

72

Citations

2,811

Publications by Year

20112025

Co-Authors:

Adam Mohamed Ahmed Abdo
David A. Bader
Zheng Chang
Yinong Chen
Yingyang Chen

Show All Co-Authors (117)

Author's Published Works

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Showing 1-25 of 72 results

Conferences (38)

Journals (32)

Magazines (2)

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Chen Xu(72)
Zhenyu Zhou(30)
Shahid Mumtaz(10)
Runze Wu(9)
Lingyang Song(8)
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China(19)
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China(17)
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China(10)
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China(9)
Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland(5)
IEEE Access(7)
IEEE Internet of Things Journal(5)
IEEE Transactions on Industrial Informatics(3)
IEEE Transactions on Intelligent Transportation Systems(3)
IEEE Transactions on Vehicular Technology(3)
IEEE(72)
Jeju, Korea (South)(3)
Nanjing, China(3)
Barcelona, Spain(2)
Guangzhou, China(2)
Kuala Lumpur, Malaysia(2)
Resource Allocation(33)
Co-channel Interference(24)
Service Quality(24)
D2D Communication(22)
Optimization Problem(20)

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Survey of Lithium-Ion Battery Anomaly Detection Methods in Electric Vehicles

Xuyuan Li;Qiang Wang;Chen Xu;Yiyang Wu;Lianxing Li

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

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With the rapid popularization of electric vehicles, the safety and reliability of lithium-ion batteries, as their core power source, have become major concerns. Effective anomaly detection is crucial for ensuring the safe operation of lithium-ion batteries. This article presents a comprehensive review of the anomaly types and detection methods used in lithium-ion batteries for electric vehicles. W...Show More

Survey of Lithium-Ion Battery Anomaly Detection Methods in Electric Vehicles

Xuyuan Li;Qiang Wang;Chen Xu;Yiyang Wu;Lianxing Li

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Federated Deep Reinforcement Learning for Aerial Content Caching in Multi-UAV Networks

Wenfei Yuan;Chen Xu;Xinghuan Xie

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

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Due to the high level of flexibility, Unmanned Aerial Vehicle (UAV) can be deployed as aerial base station to provide communication coverage enhancement, especially when ground service facilities are lacking or communication is unreliable. UAV-assisted content caching, which can help reduce repeated transmissions on backhaul links, has emerged as a promising solution for edge caching networks. Fed...Show More

Federated Deep Reinforcement Learning for Aerial Content Caching in Multi-UAV Networks

Wenfei Yuan;Chen Xu;Xinghuan Xie

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

Spatiotemporal Ego-Graph Domain Adaptation for Traffic Prediction With Data Missing

Chen Xu;Qiang Wang;Wenqi Zhang;Chen Sun

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 12 | Journal Article |

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As an important research field in time series processing, traffic prediction has a profound impact on people’s daily lives and social development. Conventional traffic prediction relies on complete observation data. However, data missing is common in cities due to equipment failure, network interruption, etc., which poses a huge obstacle to traffic prediction. In this paper, we design a novel Spat...Show More

Spatiotemporal Ego-Graph Domain Adaptation for Traffic Prediction With Data Missing

Chen Xu;Qiang Wang;Wenqi Zhang;Chen Sun

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 12 | Journal Article |

Coded Caching for Reliable Map Dissemination in Symbiotic Communication Aided Emergency UAV Systems

Zeyu Tian;Li Wang;Lianming Xu;Chen Xu;Aiguo Fei

IEEE Transactions on Cognitive Communications and Networking

Year: 2024 | Volume: 10, Issue: 5 | Journal Article |

Cited by: Papers (1)

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Many rescue missions critically rely on effective perception and real-time decision making, which hinge on efficient data collection and dissemination. This study introduces a hierarchical coded caching framework leveraging symbiotic communication, enabling backscatter devices (BDs) to relay information. By strategically caching coded map fragments across unmanned aerial vehicles (UAVs) equipped w...Show More

Coded Caching for Reliable Map Dissemination in Symbiotic Communication Aided Emergency UAV Systems

Zeyu Tian;Li Wang;Lianming Xu;Chen Xu;Aiguo Fei

IEEE Transactions on Cognitive Communications and Networking

Year: 2024 | Volume: 10, Issue: 5 | Journal Article |

Synergy-Payoff-Maximization-Based Rechargeable Adaptive Energy-Efficient Dual-Mode Data Gathering Using Renewable Energy Sources

Haobo Guo;Runze Wu;Yijia Ma;Shumin Sun;Yuejiao Wang;Bing Qi;Juan Gao;Chen Xu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 21 | Journal Article |

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Integrating wireless energy transfer (WET) and data gathering based on the mobile platforms, such as the unmanned aerial vehicle (UAV) has been recognized as a promising technique to prolong the battery lifetime of resource-constrained wireless sensors in the Internet of Things era. However, it is challenging to jointly schedule dynamic renewable energy sources and communications resources to coor...Show More

Synergy-Payoff-Maximization-Based Rechargeable Adaptive Energy-Efficient Dual-Mode Data Gathering Using Renewable Energy Sources

Haobo Guo;Runze Wu;Yijia Ma;Shumin Sun;Yuejiao Wang;Bing Qi;Juan Gao;Chen Xu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 21 | Journal Article |

Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks

Zhijian Lin;Jianjie Yang;Yingyang Chen;Chen Xu;Xiaoqing Zhang

IEEE Communications Letters

Year: 2024 | Volume: 28, Issue: 7 | Journal Article |

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The sharp development of maritime activities fosters maritime Internet-of-Things (M-IoT) applications. However, the computation resources of vessels are limited, which cannot adequately satisfy high-quality services in M-IoT. With this consideration, space-air-ground-sea integrated networks (SAGSINs) are introduced in this work. Besides, a maritime distributed computation offloading framework is d...Show More

Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks

Zhijian Lin;Jianjie Yang;Yingyang Chen;Chen Xu;Xiaoqing Zhang

IEEE Communications Letters

Year: 2024 | Volume: 28, Issue: 7 | Journal Article |

Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit

Xinhang Li;Yiying Yang;Zheng Yuan;Zhe Wang;Qinwen Wang;Chen Xu;Lei Li;Jianhua He;Lin Zhang

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 8 | Journal Article |

Cited by: Papers (2)

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Multi-vehicle pursuit (MVP) such as autonomous police vehicles pursuing suspects is important but very challenging due to its mission and safety-critical nature. While multi-agent reinforcement learning (MARL) algorithms have been proposed for MVP in structured grid-pattern roads, the existing algorithms use random training samples in centralized learning, which leads to homogeneous agents showing...Show More

Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit

Xinhang Li;Yiying Yang;Zheng Yuan;Zhe Wang;Qinwen Wang;Chen Xu;Lei Li;Jianhua He;Lin Zhang

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 8 | Journal Article |

Adaptive Payoff Balance Among Mobile Wireless Chargers for Rechargeable Wireless Sensor Networks

Haobo Guo;Runze Wu;Bing Qi;Yanhua He;Chen Xu;Juan Gao;Yi Sun

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Cited by: Papers (1)

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Wireless power transfer (WPT) based on mobile platforms, such as unmanned aerial vehicle (UAV), has been recognized as a promised technique to prolong battery lifetime of resource-constrained wireless sensors in the Internet of Things (IoT) era. However, it is challenging to collaborate multiple mobile wireless chargers (MWCs) for coordinating heterogeneous energy requirements of massive rechargea...Show More

Adaptive Payoff Balance Among Mobile Wireless Chargers for Rechargeable Wireless Sensor Networks

Haobo Guo;Runze Wu;Bing Qi;Yanhua He;Chen Xu;Juan Gao;Yi Sun

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Real-Time Traffic Based Air-Ground Cooperation for Vehicular Data Collection Using DRL Approach

Xinghuan Xie;Chen Xu;Zhanpeng Zhang;Wenfei Yuan

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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As more and more applications in smart transportation emerge, the timely and efficient collection of data in the Internet of Vehicles (IoV) has become an important issue. Dy-namically changing traffic streams make it difficult for roadside units (RSUs) to collect vehicle data. Unmanned aerial vehicles (UAVs) with high mobility can be easily deployed anywhere to compensate for the limited communica...Show More

Real-Time Traffic Based Air-Ground Cooperation for Vehicular Data Collection Using DRL Approach

Xinghuan Xie;Chen Xu;Zhanpeng Zhang;Wenfei Yuan

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

Year: 2023 | Conference Paper |

Deep Reinforcement Learning for Aerial Data Collection in Hybrid-Powered NOMA-IoT Networks

Zhanpeng Zhang;Chen Xu;Zewu Li;Xiongwen Zhao;Runze Wu

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 2 | Journal Article |

Cited by: Papers (13)

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With the help of unmanned aerial vehicle (UAV), remote terminals that out of wireless coverage can be connected to the Internet of Things (IoT) networks. Currently, the IoT relies on a large number of low-cost wireless sensors with limited energy supply to realize ubiquitous monitoring and intelligent control. The hybrid-powered networks composed of wireless-powered communication (WPC) terminal an...Show More

Deep Reinforcement Learning for Aerial Data Collection in Hybrid-Powered NOMA-IoT Networks

Zhanpeng Zhang;Chen Xu;Zewu Li;Xiongwen Zhao;Runze Wu

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 2 | Journal Article |

An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator

Qinwen Wang;Xinhang Li;Zheng Yuan;Yiying Yang;Chen Xu;Lin Zhang

2022 18th International Conference on Mobility, Sensing and Networking (MSN)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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The pursuit-evasion game in Smart City brings a profound impact on the Multi-vehicle Pursuit (MVP) problem, when police cars cooperatively pursue suspected vehicles. Existing studies on the MVP problems tend to set evading vehicles to move randomly or in a fixed prescribed route. The opponent modeling method has proven considerable promise in tackling the non-stationary caused by the adversary age...Show More

An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator

Qinwen Wang;Xinhang Li;Zheng Yuan;Yiying Yang;Chen Xu;Lin Zhang

2022 18th International Conference on Mobility, Sensing and Networking (MSN)

Year: 2022 | Conference Paper |

Graded-Q Reinforcement Learning with Information-Enhanced State Encoder for Hierarchical Collaborative Multi-Vehicle Pursuit

Yiying Yang;Xinhang Li;Zheng Yuan;Qinwen Wang;Chen Xu;Lin Zhang

2022 18th International Conference on Mobility, Sensing and Networking (MSN)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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The multi-vehicle pursuit (MVP), as a problem abstracted from various real-world scenarios, is becoming a hot research topic in the Intelligent Transportation System (ITS). The combination of Artificial Intelligence (AI) and connected vehicles has greatly promoted the research development of MVP. However, existing works on MVP pay little attention to the importance of information exchange and coop...Show More

Graded-Q Reinforcement Learning with Information-Enhanced State Encoder for Hierarchical Collaborative Multi-Vehicle Pursuit

Yiying Yang;Xinhang Li;Zheng Yuan;Qinwen Wang;Chen Xu;Lin Zhang

2022 18th International Conference on Mobility, Sensing and Networking (MSN)

Year: 2022 | Conference Paper |

Task-Aware Multi-UAV Cooperative Computing: A Learning-Based Trajectory and Resource Optimization

Zewu Li;Chen Xu;Zhanpeng Zhang;Runze Wu

2022 IEEE 22nd International Conference on Communication Technology (ICCT)

Year: 2022 | Conference Paper |

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Aerial computing is an important form of mobile edge computing (MEC) to enhance network coverage. In this paper, we focus on a massive access scenario where ground devices with different types of tasks are not in service area of communication infrastructure. Therefore, we propose a task-aware multiple unmanned aerial vehicles (UAV) cooperative computing scheme that each UAV stores the program for ...Show More

Task-Aware Multi-UAV Cooperative Computing: A Learning-Based Trajectory and Resource Optimization

Zewu Li;Chen Xu;Zhanpeng Zhang;Runze Wu

2022 IEEE 22nd International Conference on Communication Technology (ICCT)

Year: 2022 | Conference Paper |

CoRLNF: Joint Spatio-Temporal Pricing and Fleet Management for Ride-Hailing Platforms

Tianjiao Liu;Qiang Wang;Wenqi Zhang;Chen Xu

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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In ride-hailing services, the imbalance between supply and demand is a big challenge for ride-hailing systems. In this paper, we propose the CoRLNF approach, which Combines multi-agent Reinforcement Learning and Network Flow model to implement joint Spatio-Temporal (ST) pricing and fleet management, and can effectively balance the supply and demand for ride-hailing platforms. Different from existi...Show More

CoRLNF: Joint Spatio-Temporal Pricing and Fleet Management for Ride-Hailing Platforms

Tianjiao Liu;Qiang Wang;Wenqi Zhang;Chen Xu

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

Year: 2022 | Conference Paper |

Energy Harvesting-Based UAV-Assisted Vehicular Edge Computing: A Deep Reinforcement Learning Approach

Zhanpeng Zhang;Xinghuan Xie;Chen Xu;Runze Wu

2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

Year: 2022 | Conference Paper |

Cited by: Papers (4)

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Unmanned aerial vehicle (UAV) can provide communication and computation service enhancements to the In-ternet of vehicles (IoV) via flexible deployment and short-range transmission. In this paper, we investigate an energy harvesting-based UAV-assisted vehicular edge computing framework, where the UAV equipped with edge server helps to execute vehicular computing tasks, and meanwhile harvests energ...Show More

Energy Harvesting-Based UAV-Assisted Vehicular Edge Computing: A Deep Reinforcement Learning Approach

Zhanpeng Zhang;Xinghuan Xie;Chen Xu;Runze Wu

2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

Year: 2022 | Conference Paper |

Task-Oriented Computation Offloading and Resource Management in D2D-Assisted Heterogeneous Networks

Yun Sheng;Chen Xu;Runze Wu

2022 IEEE/CIC International Conference on Communications in China (ICCC)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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With the emergence of various newly developing applications, the computational tasks generated in the internet of things become more diverse. It is vital to match the diverse tasks with network resources according to the task differential de-mands (e.g., latency, energy, security). In device-to-device (D2D) assisted heterogeneous networks (HetNets), tasks can be offloaded to idle devices or base s...Show More

Task-Oriented Computation Offloading and Resource Management in D2D-Assisted Heterogeneous Networks

Yun Sheng;Chen Xu;Runze Wu

2022 IEEE/CIC International Conference on Communications in China (ICCC)

Year: 2022 | Conference Paper |

Learning-Based Trajectory Design and Time Allocation in UAV-Supported Wireless Powered NOMA-IoT Networks

Zhanpeng Zhang;Chen Xu;Runze Wu

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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With the help of unmanned aerial vehicle (UAV), remote terminals that out of wireless coverage can be connected to the Internet of Things (IoT) networks. Currently, the IoT relies on a large number of low-cost wireless sensors with limited energy supply to realize ubiquitous monitoring and intelligent control. The wireless powered communication (WPC) and the non-orthogonal multiple access (NOMA) t...Show More

Learning-Based Trajectory Design and Time Allocation in UAV-Supported Wireless Powered NOMA-IoT Networks

Zhanpeng Zhang;Chen Xu;Runze Wu

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2022 | Conference Paper |

Service Caching Based Aerial Cooperative Computing and Resource Allocation in Multi-UAV Enabled MEC Systems

Guangyuan Zheng;Chen Xu;Miaowen Wen;Xiongwen Zhao

IEEE Transactions on Vehicular Technology

Year: 2022 | Volume: 71, Issue: 10 | Journal Article |

Cited by: Papers (60)

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Service caching refers to caching the necessary programs or/and the related databases for performing computational tasks at edge servers, which has been considered to save both computation and communication resources in mobile edge computing (MEC) systems. In this paper, we investigate computation service caching in a multi-unmanned aerial vehicle (UAV) enabled MEC system, where each UAV equipped ...Show More

Service Caching Based Aerial Cooperative Computing and Resource Allocation in Multi-UAV Enabled MEC Systems

Guangyuan Zheng;Chen Xu;Miaowen Wen;Xiongwen Zhao

IEEE Transactions on Vehicular Technology

Year: 2022 | Volume: 71, Issue: 10 | Journal Article |

SWIPT-Based Energy Scheduling for Solar-Powered WSN in Full-Duplex Mode

Juan Gao;Runze Wu;Jianhong Hao;Chen Xu;Haobo Guo

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 13 | Journal Article |

Cited by: Papers (7)

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Solar harvesting, as the most mature environmental energy harvesting technology, can provide a convenient, low-carbon, and off-grid solution for energy-constrained WSN in remote environmental monitoring. However, the stochastic and intermittent nature of solar energy seriously affects network energy efficiency. In this paper, we jointly consider solar harvest deployment and scheduling for clustere...Show More

SWIPT-Based Energy Scheduling for Solar-Powered WSN in Full-Duplex Mode

Juan Gao;Runze Wu;Jianhong Hao;Chen Xu;Haobo Guo

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 13 | Journal Article |

Deep-q-Networks-Based Adaptive Dual-Mode Energy-Efficient Routing in Rechargeable Wireless Sensor Networks

Haobo Guo;Runze Wu;Bing Qi;Chen Xu

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 10 | Journal Article |

Cited by: Papers (13)

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In order to enhance the sustainability of rechargeable wireless sensor networks (RWSN), a deep-q-networks (DQN)-based adaptive dual-mode energy-efficient routing is proposed in this paper. Firstly, the life expectancy of each node is calculated based on multiple related factors, and a multi-hop routing based on forward transmission principle is proposed by using the indicator. Then according to th...Show More

Deep-q-Networks-Based Adaptive Dual-Mode Energy-Efficient Routing in Rechargeable Wireless Sensor Networks

Haobo Guo;Runze Wu;Bing Qi;Chen Xu

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 10 | Journal Article |

Socially-Aware Energy-Efficient Task Partial Offloading in MEC Networks With D2D Collaboration

Hao Long;Chen Xu;Guangyuan Zheng;Yun Sheng

IEEE Transactions on Green Communications and Networking

Year: 2022 | Volume: 6, Issue: 3 | Journal Article |

Cited by: Papers (16)

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The future wireless network will face demands of massive connectivity and intensive computation with the increase of mobile devices. Mobile edge computing (MEC) and Device-to-Device (D2D) have emerged as promising technologies to address the above challenges, and implementing social relationships in D2D-MEC networks can improve the reliability of D2D links. Exploiting these benefits, we investigat...Show More

Socially-Aware Energy-Efficient Task Partial Offloading in MEC Networks With D2D Collaboration

Hao Long;Chen Xu;Guangyuan Zheng;Yun Sheng

IEEE Transactions on Green Communications and Networking

Year: 2022 | Volume: 6, Issue: 3 | Journal Article |

SVM-Assisted Adaptive Kernel Power Density Clustering Algorithm for Millimeter Wave Channels

Fei Du;Xiongwen Zhao;Yu Zhang;Yang Wen;Zihao Fu;Suiyan Geng;Peng Qin;Zhenyu Zhou;Chen Xu;Yongsheng Liu;Wei Fan

IEEE Transactions on Antennas and Propagation

Year: 2022 | Volume: 70, Issue: 6 | Journal Article |

Cited by: Papers (6)

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Cluster-based channel modeling has gradually become a trend in the development of a channel model, since it is a good compromise between accuracy and complexity. However, most of the existing clustering algorithms require prior knowledge of clusters, initialization, and threshold choices. An accurate and automatic cluster identification algorithm is therefore highly desirable for channel modeling....Show More

SVM-Assisted Adaptive Kernel Power Density Clustering Algorithm for Millimeter Wave Channels

Fei Du;Xiongwen Zhao;Yu Zhang;Yang Wen;Zihao Fu;Suiyan Geng;Peng Qin;Zhenyu Zhou;Chen Xu;Yongsheng Liu;Wei Fan

IEEE Transactions on Antennas and Propagation

Year: 2022 | Volume: 70, Issue: 6 | Journal Article |

Robust Resource Allocation for Lightweight Secure Transmission in Multicarrier NOMA-Assisted Full Duplex IoT Networks

Yu Zhang;Xiongwen Zhao;Zhenyu Zhou;Peng Qin;Suiyan Geng;Chen Xu;Yang Wang;Liuqing Yang

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 9 | Journal Article |

Cited by: Papers (17)

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In this article, with the aim to enhance the secure transmission and improve the utilization of spectrum resources in Internet of Things (IoT), a multicarrier nonorthogonal multiple access (MC-NOMA)-assisted full duplex (FD) network is investigated, in which nonorthogonal multiple access (NOMA) is implemented in both uplink and downlink transmissions. The lightweight and low-power physical layer s...Show More

Robust Resource Allocation for Lightweight Secure Transmission in Multicarrier NOMA-Assisted Full Duplex IoT Networks

Yu Zhang;Xiongwen Zhao;Zhenyu Zhou;Peng Qin;Suiyan Geng;Chen Xu;Yang Wang;Liuqing Yang

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 9 | Journal Article |

Service Caching Based Task Offloading and Resource Allocation in Multi-UAV Assisted MEC Networks

Guangyuan Zheng;Chen Xu;Hao Long;Yun Sheng

2021 IEEE/CIC International Conference on Communications in China (ICCC)

Year: 2021 | Conference Paper |

Cited by: Papers (5)

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Service caching refers to caching the necessary programs or the related databases for executing computational tasks at edge servers, which has been considered to save both computation and communication resources in mobile edge computing (MEC) systems. In this paper, we investigate computation service caching in a multi-unmanned aerial vehicle (UAV) assisted MEC system, where each UAV equipped with...Show More

Service Caching Based Task Offloading and Resource Allocation in Multi-UAV Assisted MEC Networks

Guangyuan Zheng;Chen Xu;Hao Long;Yun Sheng

2021 IEEE/CIC International Conference on Communications in China (ICCC)

Year: 2021 | Conference Paper |

Social-Computing Based Long-Term Task Offloading in D2D-Enhanced MEC Networks

Hao Long;Chen Xu;Zhanpeng Zhang;Zewu Li

2021 IEEE/CIC International Conference on Communications in China (ICCC)

Year: 2021 | Conference Paper |

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The future wireless network will face demands of massive connectivity and intensive computation with the increase of mobile devices. Mobile edge computing (MEC) and Device-to-Device (D2D) have emerged as promising technologies to address the above challenges, and implementing social relationships in D2D cooperative computing can improve the reliability of D2D links. Exploiting these benefits, we i...Show More

Social-Computing Based Long-Term Task Offloading in D2D-Enhanced MEC Networks

Hao Long;Chen Xu;Zhanpeng Zhang;Zewu Li

2021 IEEE/CIC International Conference on Communications in China (ICCC)

Year: 2021 | Conference Paper |

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