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Article
Engineering, Electrical & Electronic
Conggai Li et al.
Summary: This paper studies the energy efficient optimization for multi-user support in simultaneous wireless information and power transfer systems using non-orthogonal multiple access. Power splitting and nonlinear energy harvesting models are adopted to pursue high energy efficiency for information transmission.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2023)
Article
Telecommunications
Xin Liu et al.
Summary: In this paper, a green multi-UAV assisted IoT system based on non-orthogonal multiple access (NOMA) is proposed to improve energy efficiency and fairness among UAVs. By optimizing communication scheduling, transmit power allocation, and UAV trajectory, the minimum energy efficiency of the UAVs is maximized.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Yu Pan et al.
Summary: This study investigates the optimization of average throughput in UAV-enabled cognitive radio networks and proposes an efficient high-quality algorithm to effectively solve this problem.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Mayur Katwe et al.
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
Aishwarya Gupta et al.
Summary: This article addresses the problem of multi-unmanned aerial vehicle (UAV) deployment in wireless networks with co-channel interference (CCI) for non-orthogonal multiple access (NOMA). The objective is to maximize energy efficiency and coverage rate by optimizing the power allocation of users and the locations of UAVs. The proposed approach utilizes clustering and sub-clustering methods, and applies both orthogonal multiple access (OMA) and NOMA. An improved multi-objective grey wolf optimizer (IMOGWO) is proposed to solve the non-convex problem. Simulation results demonstrate the superiority of the proposed algorithm over benchmarks.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Daosen Zhai et al.
Summary: In this paper, we propose an air-and-ground cooperative wireless sensor network (AGWSN), where aerial access points (AAPs) are deployed to assist terrestrial access points (TAP) for data collecting. By optimizing the AAP positions, channel allocation, and power control, the AGWSN can achieve lower power consumption and higher probability of successful decoding compared to traditional terrestrial networks (TTN). The algorithms' performance is evaluated through theoretical analysis and numerical simulation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Ruihong Jiang et al.
Summary: This paper investigates the information and energy coverage of UAV-enabled simultaneous wireless information and power transfer networks for ground sensor users. Through stochastic geometry approach, the expressions of information coverage probability, energy coverage probability, and joint information and energy coverage probability are derived. Optimal UAVs' deployment density is achieved through maximization optimization problems. Numerical results demonstrate that power splitting-based systems outperform time switching-based systems. Moreover, nonlinear energy harvesting model is more suitable for system performance analysis and optimal system design compared to linear model.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Kaitao Meng et al.
Summary: This study proposes a new integrated periodic sensing and communication mechanism for UAV-enable ISAC system. The user achievable rate is maximized through joint optimization of UAV trajectory, transmit precoder, and sensing start instant. The optimal transmit precoder and the optimal achievable rate are derived for any given UAV location, facilitating the UAV trajectory design.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Yuhua Su et al.
Summary: This paper proposes an integrated scheme of intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) communication. By jointly optimizing active beamforming, passive beamforming, and UAV trajectory, the system's spectrum efficiency (SE) and energy efficiency (EE) are maximized. The SE maximization problem is divided into three subproblems, which are iteratively optimized. Under the constraint of limited energy, suboptimal trajectory design and optimal beamforming are obtained using successive convex approximation and Dinkelbach's method, respectively.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Huizhu Han et al.
Summary: This paper studies a secure UAV communication network enabled by a mobile jammer. By transmitting jamming signals, the quality of eavesdropping channel is degraded to improve the secure communication performance of the source UAV. The problem of maximizing average effective secrecy rate (AESR) is formulated and the trajectories and transmit power are jointly optimized. An efficient alternating optimization algorithm based on Bisection method and successive convex approximation (SCA) technology is proposed.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2022)
Article
Telecommunications
Qunshu Wang et al.
Summary: This study proposes a 3-hop NOMA UAV-aided green communication network framework and utilizes a stochastic geometry approach to model the spatial positions of ground users. The results show that NOMA outperforms OMA in terms of outage performance under different transmission modes and signal-to-noise ratio conditions.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Article
Telecommunications
Xingwang Li et al.
Summary: This study investigates an intelligent reflecting surface (IRS) wireless-powered NOMA Internet-of-Things (IoT) network, where multiple NOMA IoT devices can communicate with an access point (AP) with the assistance of IRS. A novel resource allocation scheme is proposed to maximize the sum throughput of the system by jointly optimizing the time allocation factor and phase shift matrices. Results show that IRS enhances the sum throughput compared to the scenario without IRS, highlighting the advantages of employing IRS.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Article
Engineering, Electrical & Electronic
Qingqing Wu et al.
Summary: This paper provides a comprehensive overview of the latest research efforts on integrating UAVs into cellular networks, with a focus on utilizing advanced techniques to meet the diversified service requirements of next-generation wireless systems. It highlights the challenges and opportunities in providing enhanced communication services for UAVs and ground users in 5G-and-beyond 3D heterogeneous wireless networks. Additionally, the paper underscores the importance of network intelligence and efficient sensing in achieving successful integration.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yabo Li et al.
Summary: This paper investigates the use of replacing base stations with unmanned aerial vehicles for communication, proposing a joint resource allocation and UAV trajectory optimization algorithm to maximize total energy efficiency. The algorithm is validated through numerical results, demonstrating its rationality.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Jie Wang et al.
Summary: The proposed multiple unmanned aerial vehicles (UAVs)-aided uplink NOMA method significantly improves the energy efficiency and spectrum efficiency of cellular uplinks through optimized transceiver association and resource allocation.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yongjun Xu et al.
Summary: The article addresses the robust EE maximization problem in energy harvesting-based device-to-device communication and UAV-assisted networks, proposing a robust resource allocation algorithm to reduce user outages and improve system robustness. By jointly optimizing radio resource allocation and flight altitude, transforming the non-convex problem into a convex one through variable relaxation and substitution, and deriving closed-form expressions of robust resource allocation using Lagrange dual theory, the effectiveness of the proposed algorithm is demonstrated through simulation results compared to benchmark algorithms in terms of EE and robustness.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Xinyi Wang et al.
Summary: This paper investigates the network utility maximization problem in a dual-functional radar-communication multi-UAV network, proposing a computationally practical method to solve this NP-hard problem by decomposing it into three sub-problems and introducing three mechanisms based on spectral clustering, coalition game, and successive convex approximation. The proposed algorithm significantly improves the minimum user data rate and fairness of the network while increasing network utility with lower power consumption and similar localization accuracy compared to conventional techniques.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Telecommunications
Zhen Wang et al.
China Communications
(2021)
Article
Telecommunications
Xingwang Li et al.
Summary: This paper proposes a framework of C-AmBC networks in the presence of an unlicensed eavesdropper, investigating the reliability and security of the system. In the high SNR regime, the OP for the legitimate user and BD tends to be a non-zero fixed constant.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
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IEEE COMMUNICATIONS LETTERS
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