Joint Trajectory and Hybrid Beamforming Design for Multi Antenna UAV Enabled Network

Zhou, Feng; Wang, Rugang

doi:10.1109/access.2021.3068289

Cited by 6 publications

(4 citation statements)

References 34 publications

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“…At the same time, the total path loss from the UAV-BS to UEs is minimized, and the power allocation is optimized to maximize the sum rate of UEs. However, all the aforementioned works [3][4][5][6][7][8][9][10] did not consider the existence of ground BSs (GBSs) along with the aerial BSs, which considered as a source for strong co-channel interference in the UAV-assisted cellular networks.…”

Section: Related Workmentioning

confidence: 99%

“…A UAV‐enabled communication system is proposed in Reference 7, where the hybrid beamforming and UAV‐BS trajectory are optimized to maximize the weighted sum rate of users. In Reference 8, the maximum outage probability minimization problem is considered to jointly optimize the UAV height, power, and bandwidth allocation subject to the maximum altitude, power, and outage probability constraints.…”

Section: Introductionmentioning

confidence: 99%

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Two‐timescale optimization approach for coordinated multi‐point design in unmanned aerial vehicle‐assisted cellular networks

Abdelhakam

Elmesalawy

Ibrahim

et al. 2022

Trans Emerging Tel Tech

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Thanks to their mobility, flexibility, and adaptive altitude, unmanned aerial vehicles (UAVs) have been admitted for several applications in wireless communication systems. In particular, UAVs can function as aerial base stations (BSs) to increase cellular network capacity and provide persistent coverage. Due to the line-of-sight channels between UAVs and user equipments (UEs), strong co-channel interference may be generated in the network. In this article, a joint transmission coordinated multi-point technique is considered in the downlink cellular network to effectively manage the interference brought by UAVs. A two-timescale optimization approach is proposed to prevent exchanging absurd messages and channel information between the transmission points. The objective of the proposed method is to maximize the sum rate of the network subject to the constraints on UEs' quality of service as well as per-ground BS and per-UAV total transmitted power. The proposed approach is decomposed into long-term and short-term problems. The long-term problem aims to jointly optimize the UEs' clusters, the UAVs' locations, and the initial transmit beamforming vectors based on large-scale channel gain. This problem is a mixed-integer nonlinear programming optimization problem, which is nondeterministic polynomial hard. Meanwhile, the short-term problem requires obtaining the transmit beamforming vectors according to the overall channel vector. This problem is also a non-convex optimization problem. To address these challenges, two algorithms are proposed based on difference of convex functions programming and successive convex approximation technique to deal with these two problems. Extensive simulations show that the performance of the proposed approach outperforms the comparable algorithms.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two‐timescale optimization approach for coordinated multi‐point design in unmanned aerial vehicle‐assisted cellular networks

Abdelhakam

Elmesalawy

Ibrahim

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…In [8], on the premise of only considering the LoS component and the Rician k factor, the optimal beamforming vector of the user was deduced to maximize system total rate. In [9], under the constraint of transmission power and trajectory, the digital beamforming vector was obtained by bisection search method, and the analog beamforming vector and flight trajectory were obtained by alternating multiplier method, so as to maximize the user rate. These literature had proposed different approaches to achieve beamforming.…”

Section: Introductionmentioning

confidence: 99%

Joint optimization of position and beamforming vectors in UAV-assisted wireless communication system

Nian

Han

2023

International Conference on Signal Processing and Communication Technology (SPCT 2022)

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UAV-assisted wireless communication has the advantages of flexible deployment and wide coverage. However, it still has some disadvantages such as high path loss, low throughput and low transmission capability. The beamforming technology is introduced into UAV-assisted wireless communication, which can effectively compensate the path loss and alleviate the interference. Therefore, a UAV-assisted wireless communication system model is constructed in this paper, which is equipped with uniform planar array on the ground base station and UAV to achieve beamforming, so as to maximize the capacity of target nodes. In order to solve the non-convex problem with high-dimensional and highly-coupled optimization variables, firstly, the block coordinate descent method is used to transform the original problem into two sub-problems: position optimization of relay UAV and beamforming vector optimization. And then the continuous convex approximation method is used to transform two sub-problems into convex optimization problems for solving. The simulation results show that the proposed method can effectively improve the capacity of the target node.

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“…etc [22], [24]. In view of this issue, the research community is leaning towards the development of hybrid beamforming configuration for massive MIMO system, which enables simultaneous transmission of multiple data streams from the same UAV station, and makes it possible to reduce the UAV swarm size and its relative cost compared to the analog beamforming counterpart [25]. In spite of these viable advantages, quite few research works have been devoted to incorporation of hybrid beamforming in the hot topic of UAV-based relaying communication system.…”

Section: Introductionmentioning

confidence: 99%

Performance and User Association Optimization for UAV Relay-Assisted mm-Wave Massive MIMO Systems

et al. 2022

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Unmanned aerial vehicle (UAV) relaying is deemed as a promising solution to enhance the achievable rate and widespread connectivity in millimeter-Wave (mm-Wave) systems for tomorrow's 6G wireless networks. In this paper, we study both the performance and user association optimization for the UAV relay-assisted mm-Wave massive multiple-input multiple-output (MIMO) communication system, where multiple base stations (BSs) serve their respective users with the help of one beamforming UAV relay. Both the beamforming and the UAV relay have essential impact on the achievable sum-rate of the system. Thus, a multi-user hybrid beamforming scheme is designed to mitigate the inter-user interference issues and achieve a better trade-off between performance and complexity in UAV-enabled communications. Also, to exploit UAV relay based architecture in serving different ground BS-user pairs, we propose a UAV relay-assisted multi-BS mm-Wave massive MIMO system with hybrid beamforming architecture, which prevent sudden link disconnections caused by high path loss and line-of-sight (LoS) blockage in mm-Wave frequency band. Then, we formulate a user association problem with multiple constraints so that the sumrate of the overall UAV relay-assisted mm-Wave massive MIMO system is maximized. Simulation results are provided to show the effectiveness of the proposed UAV relay-enabled architecture.INDEX TERMS Unmanned aerial vehicle (UAV) relay, mm-Wave communications, massive MIMO, 6G, hybrid Beamforming, user association, sum rate maximization.

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Joint Trajectory and Hybrid Beamforming Design for Multi Antenna UAV Enabled Network

Cited by 6 publications

References 34 publications

Two‐timescale optimization approach for coordinated multi‐point design in unmanned aerial vehicle‐assisted cellular networks

Two‐timescale optimization approach for coordinated multi‐point design in unmanned aerial vehicle‐assisted cellular networks

Joint optimization of position and beamforming vectors in UAV-assisted wireless communication system

Performance and User Association Optimization for UAV Relay-Assisted mm-Wave Massive MIMO Systems

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