Wireless Relay Communications using ann Unmanned Aerial Vehicle

Zhan, Peng; Yu, Kai; Swindlehurst, A. Lee

doi:10.1109/spawc.2006.346492

Cited by 48 publications

(31 citation statements)

References 11 publications

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“…In this work, a general view of the potential integration of UAVs with cellular networks was presented. In [123], the authors investigated the optimal deployment of a UAV that acts as a wireless relay between the transmitter and the receiver. The optimal location of the UAV was determined by maximizing the average rate while ensuring that the bit error rate will not exceed a specified threshold.…”

Section: B Optimal Deployment Of Uavs As Flying Base Stationsmentioning

confidence: 99%

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Mozaffari

Saad

Bennis

et al. 2019

IEEE Commun. Surv. Tutorials

2,187

1,175

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The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as drones, is rapidly growing. In particular, with their inherent attributes such as mobility, flexibility, and adaptive altitude, UAVs admit several key potential applications in wireless systems. On the one hand, UAVs can be used as aerial base stations to enhance coverage, capacity, reliability, and energy efficiency of wireless networks. On the other hand, UAVs can operate as flying mobile terminals within a cellular network. Such cellular-connected UAVs can enable several applications ranging from real-time video streaming to item delivery. In this paper, a comprehensive tutorial on the potential benefits and applications of UAVs in wireless communications is presented. Moreover, the important challenges and the fundamental tradeoffs in UAV-enabled wireless networks are thoroughly investigated. In particular, the key UAV challenges such as three-dimensional deployment, performance analysis, channel modeling, and energy efficiency are explored along with representative results. Then, open problems and potential research directions pertaining to UAV communications are introduced. Finally, various analytical frameworks and mathematical tools such as optimization theory, machine learning, stochastic geometry, transport theory, and game theory are described. The use of such tools for addressing unique UAV problems is also presented. In a nutshell, this tutorial provides key guidelines on how to analyze, optimize, and design UAV-based wireless communication systems. arXiv:1803.00680v2 [cs.IT] 17 Mar 2019 particular, the work in [45] discussed the applications of flying ad-hoc networks, design considerations, communication protocols, and privacy aspects. In [46], a comprehensive review of UAV-based flying ad hoc networks (FANETs) and their challenges are provided. Moreover, several FANET design challenges in terms of mobility, node density, topology change, radio propagation model, and power consumption are investigated. The survey in [47] discussed the design challenges pertaining to the use of UAVs as relay nodes in flying adhoc networks. The work in [48] provided a comprehensive survey on the potential use of UAVs for supporting IoT services. In particular, key challenges and requirements for designing UAV-assisted IoT networks are discussed in [48]. In [49], the authors surveyed different mechanisms and protocols for developing airborne communication networks while considering low-altitude-platform communications, high-altitudeplatform communications, and integrated airborne communication systems. The survey in [50] studied the use of HAPs for broadband communications. Moreover, it described key advantages of HAPs compared to terrestrial and satellite networks, suitable HAP airships, frequency bands, and possible HAP-based network architectures. The authors in [51] studied the challenges and advantages associated with a multi-tier drone network architecture. Moreover, this work investigated the performance of a multi-tier drone...

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Section: B Optimal Deployment Of Uavs As Flying Base Stationsmentioning

confidence: 99%

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Mozaffari

Saad

Bennis

et al. 2019

IEEE Commun. Surv. Tutorials

2,187

1,175

View full text Add to dashboard Cite

show abstract

“…We now focus on the power allocation problem, and solve the optimization problem in (7) to find optimal power allocation for a given set of the UAV locations. In this case, the corresponding optimization problem is given by: We assume that the UAVs transfer the data by forming a multi-hop single link network topology, i.e., a line graph, between the BS and the UE.…”

Section: B Power Allocation Optimizationmentioning

confidence: 99%

“…The static frameworks assume that the geometric locations of all the network nodes (involving UAVs) remain unchanged during the data transmission [7], [8], while the dynamic scenarios assume that UAVs can be mobile in any phase of the data transmission [9]- [12]. In [7], the optimal deployment of a static UAV is considered to improve the average data rate between two obstructed access points under a symbol error rate constraint. Considering multiple static UAVs, optimal UAV locations are derived in [8] through maximizing the data rate in single link multi-hop and multiple links dual-hop relaying schemes.…”

Section: Introductionmentioning

confidence: 99%

Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation

Rahmati

Hosseinalipour

Yapıcı

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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The use of the unmanned aerial vehicle (UAV) has been foreseen as a promising technology for the next generation communication networks. Since there are no regulations for UAVs deployment yet, most likely they form a network in coexistence with an already existed network. In this work, we consider a transmission mechanism that aims to improve the data rate between a terrestrial base station (BS) and user equipment (UE) through deploying multiple UAVs relaying the desired data flow. Considering the coexistence of this network with other established communication networks, we take into account the effect of interference, which is incurred by the existing nodes. Our primary goal is to optimize the three-dimensional (3D) trajectories and power allocation for the relaying UAVs to maximize the data flow while keeping the interference to existing nodes below a predefined threshold. An alternating-maximization strategy is proposed to solve the joint 3D trajectory design and power allocation for the relaying UAVs. To this end, we handle the information exchange within the network by resorting to spectral graph theory and subsequently address the power allocation through convex optimization techniques. Simulation results show that our approach can considerably improve the information flow while the interference threshold constraint is met.

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“…However, it is worth mentioning that in the previous works the UAV is equipped with a single antenna, whose drawback is that the benefits of applying multi-antenna for wireless communications cannot be obtained [9], [10]. Motivated by this fact, Zhan et al [11] have investigated the UAVassisted relay networks while the UAV equips with multiple antennas and applies the decode-and-forward (DF) protocol. By employing amplify-and-forward (AF) protocol at UAV, Zhan et al [12] have proposed the orthogonal space-time block coding (OSTBC)-based transmission technology to maximize the sum rate of the link between a multi-antenna UAV relay and many ground terminals.…”

Section: Introductionmentioning

confidence: 99%

Optimal Beamforming and Performance Analysis of Wireless Relay Networks with Unmanned Aerial Vehicle

Ouyang

Lin²

2015

Frequenz

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In this paper, we investigate a wireless communication system employing a multi-antenna unmanned aerial vehicle (UAV) as the relay to improve the connectivity between the base station (BS) and the receive node (RN), where the BS-UAV link undergoes the correlated Rician fading while the UAV-RN link follows the correlated Rayleigh fading with large scale path loss. By assuming that the amplify-and-forward (AF) protocol is adopted at UAV, we first propose an optimal beamforming (BF) scheme to maximize the mutual information of the UAV-assisted dual-hop relay network, by calculating the BF weight vectors and the power allocation coefficient. Then, we derive the analytical expressions for the outage probability (OP) and the ergodic capacity (EC) of the relay network to evaluate the system performance conveniently. Finally, computer simulation results are provided to demonstrate the validity and efficiency of the proposed scheme as well as the performance analysis.

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Wireless Relay Communications using ann Unmanned Aerial Vehicle

Cited by 48 publications

References 11 publications

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation

Optimal Beamforming and Performance Analysis of Wireless Relay Networks with Unmanned Aerial Vehicle

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