Article
Engineering, Electrical & Electronic
Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, Daniel Benevides da Costa, Zygmunt J. Haas
Summary: In this paper, a novel adaptive decoding mechanism (ADM) is proposed for UAV-enabled UL-NOMA communications. The proposed ADM overcomes the challenging problem of performance sensitivity in conventional UL-NOMA systems. Closed-form expressions for system outage probability and throughput are derived for performance evaluation. The ADM-enhanced NOMA outperforms OMA and improves the performance of UAV-enabled UL-NOMA even in mobile environments, as demonstrated by numerical solutions.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Ishan Budhiraja, Neeraj Kumar, Sudhanshu Tyagi, Sudeep Tanwar
Summary: This article focuses on minimizing the energy consumption of NOMA-based MEC networks with UAV support, by proposing solutions to two subproblems and demonstrating through numerical results the effectiveness of the proposed scheme.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Danyu Diao, Buhong Wang, Kunrui Cao, Runze Dong, Tianhao Cheng
Summary: This work focuses on a UAV-enabled NOMA system and proposes a joint power allocation and aerial jamming scheme to achieve reliable and secure communications. The performance of the system is evaluated using closed-form expressions of connection outage probability, secrecy outage probability, and effective secrecy throughput. The numerical results validate the theoretical derivations and demonstrate the superiority of the proposed scheme.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Telecommunications
Syed Khurram Mahmud, Yue Chen, Kok Keong Chai
Summary: In this study, a hybrid decision framework HDF based on MFIS and RL is proposed to enhance energy efficiency in NOMA-UAV networks. Comparative analysis reveals that HDF outperforms SDQN and FPB in terms of energy efficiency and DL attempts.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov
Summary: This article explores the synergies between vision and communications for edge-computing-enabled UAV flight, proposing a framework of edge computing assisted autonomous flight that utilizes three functionalities to enhance connectivity and mission performance. Simulation results demonstrate the effectiveness of the method in improving mission performance through enhanced connectivity.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Engineering, Electrical & Electronic
Shihao Liu, Yangchao Huang, Hang Hu, Jiangbo Si, Qiaoyan Kang, Yu Pan, Cheng Gu
Summary: This paper investigates an energy-saving framework based on edge computing, which supports UAV in the case of coexistence of edge computing users and latency-sensitive communication users.
PHYSICAL COMMUNICATION
(2023)
Article
Telecommunications
Zhiyang Li, Ming Chen, Zhaohui Yang, Jingwen Zhao, Yinlu Wang, Jianfeng Shi, Chongwen Huang
Summary: This paper investigates an RIS-aided single-cell multi-user MEC system and proposes a joint optimization scheme to minimize the energy consumption of all users using block coordinate descent method. Numerical results demonstrate that the proposed scheme can significantly increase energy efficiency and achieve significant performance gains.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Engineering, Electrical & Electronic
Yavuz Yapici, Nadisanka Rupasinghe, Ismail Guvenc, Huaiyu Dai, Arupjyoti Bhuyan
Summary: This work investigates the secrecy-rate performance of a NOMA-based transmission strategy in mmWave UAV-assisted wireless networks. A protected-zone approach is proposed to enhance secrecy-rate performance by preventing the presence of malicious receivers. Numerical evaluations consider the impact of transmission power, protected-zone size, and UAV altitude on secrecy-rate performance improvements for practical deployments.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Mayur Katwe, Keshav Singh, Prabhat Kumar Sharma, Chih-Peng Li, Zhiguo Ding
Summary: This paper investigates the improvement of overall sum-rate throughput in an unmanned aerial vehicles (UAVs)-assisted full-duplex non-orthogonal multiple access (NOMA) system based cellular network. It proposes a two-stage dynamic user clustering method and joint optimization of UAV placement and power allocation to reduce cross-interference. Simulation results show that the proposed solution outperforms conventional schemes.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Li Li, Pingzhi Fan
Summary: In this paper, a non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) model is developed to analyze the impact of vehicle terminal (VT) mobility on task offloading performance in vehicular networks. The model considers the random speed and task completion time on the current road segment of each VT, and derives the expressions for average latency and task loss probability. The results are validated through simulations and it is found that average VT speed has a significant impact on latency performance, while task loss probability is mainly affected by VT arrival rate and approximately independent of average VT speed.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Sourabh Solanki, Junhee Park, Inkyu Lee
Summary: This paper investigates the performance of an intelligent reflective surface (IRS) assisted non-orthogonal multiple access (NOMA) system using a drone-mounted IRS to assist the base station's transmissions. The performance evaluation includes the analysis of outage probability and ergodic spectral efficiency. Comparison with a baseline scheme is also conducted to highlight the superiority of the proposed IRS-aided UAV relaying system.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Zhen Chen, Jie Tang, Miaowen Wen, Zan Li, Jun Yang, Xiu Yin Zhang, Kai-Kit Wong
Summary: Integrating mobile edge computing (MEC) with the Internet of Things (IoT) enables resource-limited mobile devices to offload computation-intensive tasks to nearby edge servers. The use of reconfigurable intelligent surfaces (RIS) further enhances the offloading capability of MEC, resulting in low latency and high throughput. In this research, a MEC non-orthogonal multiple access (MEC-NOMA) network framework is proposed, which allows multiple IoT devices to share the same channel for task offloading, and a RIS-assisted channel assignment algorithm is developed to optimize offloading delay and transmission rate.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Bodong Shang, H. Vincent Poor, Lingjia Liu
Summary: This article introduces the application of aerial reconfigurable intelligent surfaces (ARIS) mounted on unmanned aerial vehicles (UAVs) into mobile edge computing (MEC) networks. By designing communication and computation resource allocation, ARIS trajectory, and the amplitudes and phase shifts of passive reflecting elements, network performance can be improved. However, challenges such as resource allocation and trajectory design, imperfect channel state information in ARIS beamforming design, and the trade-off between non-line-of-sight excessive path loss and doubled path loss need to be addressed.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Chemistry, Analytical
Donggeun Oh, Junghee Han
Summary: UAVs have been developed and used in various fields, especially in disaster relief. However, there are challenges in using images to search for survivors.
Article
Telecommunications
Jianbin Xue, Yuling Ma, Guiying Tian, Jun Dou, Xiangrui Guan
Summary: This paper investigates the utilization of computing offloading techniques to improve system performance in cellular connected unmanned aerial vehicle (UAV) networks. It focuses on minimizing energy consumption and latency through joint optimization of task offloading decision, sub-channel allocation, and computing resource allocation.
WIRELESS PERSONAL COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Yu Xu, Tiankui Zhang, Dingcheng Yang, Yuanwei Liu, Meixia Tao
Summary: This article investigates the security problems for dual UAV-assisted mobile edge computing systems and proposes solutions for maximizing minimum secure computing capacity by jointly optimizing communication resources, computation resources, and UAVs' trajectories.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yu Xu, Tiankui Zhang, Jonathan Loo, Dingcheng Yang, Lin Xiao
Summary: This letter focuses on the computing delay issue in MEC systems assisted by multiple UAVs with the goal of task completion time minimization, and successfully reduces the completion time through optimized algorithms.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Yu Xu, Tiankui Zhang, Yuanwei Liu, Dingcheng Yang, Lin Xiao, Meixia Tao
Summary: This paper proposes a novel system based on unmanned aerial vehicle-assisted mobile edge computing, aiming to maximize the weighted computation efficiency of the system by jointly optimizing various parameters such as computation task assignment and UAV's trajectory. Numerical simulations show that the proposed algorithm significantly improves computation efficiency compared to benchmark schemes, effectively balancing the tradeoff between computation task bits and system energy consumption.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yu Xu, Tiankui Zhang, Yuanwei Liu, Dingcheng Yang, Lin Xiao, Meixia Tao
Summary: This paper considers a MEC network where multiple UAVs can offload their computation tasks to GBSs. The stochastic optimization problem is formulated to minimize energy consumption, and a VTPT is designed to reduce UAVs' energy consumption. An online resource allocation and trajectory optimization algorithm is proposed to handle the stochastic problem. Numerical results show that the proposed algorithm reduces energy consumption and ensures computation queue stability.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Yu Xu, Tiankui Zhang, Yuanwei Liu, Dingcheng Yang, Lin Xiao, Meixia Tao
Summary: This article proposes a novel MEC framework empowered by an unmanned aerial vehicle (UAV) relay and a reconfigurable intelligence surface (RIS) to enhance the computation capacity of IoT devices. The proposed algorithm achieves higher computation capacity compared to existing approaches, validating the superiority of the joint UAV and RIS design.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Yu Xu, Tiankui Zhang, Yuanwei Liu, Dingcheng Yang
Summary: We propose a UAV-enabled integrated sensing, computing, and communication (U-ISCC) framework, where a treble-functional UAV performs local computation and delivers its computational tasks to ground access points, while also sensing a target using unified beam waves. Our goal is to characterize the Pareto boundary between computation capacity and sensing beampattern gain to reveal the fundamental trade-off. To solve this challenging problem, we propose a joint optimization algorithm utilizing semidefinite programming and concave-convex procedure techniques, ensuring a rank-1 constraint with low complexity. Numerical results demonstrate the effectiveness of our algorithm in explicitly depicting the performance region and showcasing the UAV's ability to balance sensing, computing, and communication.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)