3-D Drone-Base-Station Placement With In-Band Full-Duplex Communications

Zhang, Liang; Fan, Qi; Ansari, Nirwan

doi:10.1109/lcomm.2018.2851206

Cited by 60 publications

(32 citation statements)

References 14 publications

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“…The authors assumed that UAVs and ground BSs coexist and then maximized user satisfaction with provided data rates by finding the optimal position of UAVs and associating users to ground BS or UAVs. Authors in [20], [21], [22] employed HD transmission in UAVs, while authors in [23] investigated the problem of 3-D drone BS placement with FD communication in the heterogeneous networks. The authors employed FD drones in coexistence with ground BS to improve network throughput.…”

Section: Introductionmentioning

confidence: 99%

“…Since in this setting, FD technology is used in multismall cell networks, DL and UL transmission coexist, and we have to consider SI and inter-cell interference. Moreover, unlike [23] which considers different frequency spectrum for each BS, we consider frequency reuse in cells in order to increase the network capacity and data rate, hence, we have to consider intra-cell interference. Here, we investigate three different scenarios; at first, we aim to maximize DL sum-rate whilst prescribing a certain minimum requirement for the UL transmission rate by optimizing FD-UAV transmission power.…”

Section: Introductionmentioning

confidence: 99%

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Resource Allocation in Full-Duplex UAV Enabled Multismall Cell Networks

Gazestani

Ghorashi

Yang

et al. 2022

IEEE Trans. on Mobile Comput.

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Flying platforms such as Unmanned Aerial Vehicles (UAVs) are a promising solution for future small cell networks. UAVs can be used as aerial Base Stations (BSs) to enhance coverage, capacity and reliability of wireless networks. Also, with recent advances of Self Interference Cancellation (SIC) techniques in Full-Duplex (FD) systems, practical implementation of FD BSs is feasible. In this paper, we investigate the problem of resource allocation for multi-small cell networks with FD-UAVs as aerial BSs with imperfect SIC. We consider three different scenarios: a) maximizing the DL sum-rate, b) maximizing the UL sum-rate, and finally c) maximizing the sum of UL and DL sum-rates. The aforementioned problems result in non-convex optimization problems, therefore, successive convex approximation algorithms are developed by leveraging D.C. (Difference of Convex functions) programming to find sub-optimal solutions. Simulation results illustrated validity and effectiveness of the proposed radio resource management algorithms in comparison with ground BSs, in both FD mode and its half-duplex (HD) counterpart. The results also indicate those situations where using aerial BS is advantageous over ground BS and reveal how FD transmission enhances the network performance in comparison with HD one.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resource Allocation in Full-Duplex UAV Enabled Multismall Cell Networks

Gazestani

Ghorashi

Yang

et al. 2022

IEEE Trans. on Mobile Comput.

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show abstract

“…This is because the in-band STR in a multiuser environment causes co-channel interference (CCI) between communicating users [5], or between a backhaul link and an access link [6]. In a multiuser environment, the in-band STR of an IFD is generally known to degrade network performance, despite the benefit of doubling the spectral efficiency of a transmission link.…”

Section: Introductionmentioning

confidence: 99%

“…In a multiuser environment, the in-band STR of an IFD is generally known to degrade network performance, despite the benefit of doubling the spectral efficiency of a transmission link. This is because the in-band STR in a multiuser environment causes co-channel interference (CCI) between communicating users [5], or between a backhaul link and an access link [6]. However, from a PHYSEC perspective, the CCI yielded by the in-band STR of IFD can be used to protect the information of legitimate users from eavesdropping [7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Information leakage in bi‐directional IFD communication system with simultaneously transmitted jamming sequence

Gwak

Kim

2019

ETRI Journal

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In this paper, we describe a simultaneously transmitted jamming (ST‐jamming) for bi‐directional in‐band full‐duplex (IFD) system to improve information security at the physical layer. By exploiting ST‐jamming, each legitimate user transmits data samples and jamming samples together in one orthogonal frequency division multiplexing symbol according to given traffic asymmetry. Regardless of the traffic difference in both directions in IFD communication, eavesdropping of confidential information is prevented in both directions simultaneously without the loss of data rate. We first propose an encoding scheme and the corresponding decoding scheme for ST‐jamming to be used by the legitimate users. In addition, we study a transceiver structure of the legitimate users including a baseband modem uniquely designed for the use of ST‐jamming. The leakage of confidential information at an eavesdropper is then quantified by studying the mutual information between the confidential transmit signals and the received signals of the eavesdropper. Simulation results show that the proposed ST‐jamming significantly reduces the leakage of legitimate information at the eavesdropper.

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“…The above works show that wireless backhaul has a great impact on the communication performance of UAV-BSs, and careful design is needed to guarantee the reliability of the wireless backhaul and improve performance. As compared to the out-band backhaul, the in-band backhaul can adjust the allocation of spectrum between the backhaul link and the access link to achieve a balance between them according to the dynamics of their channel quality and thus may have a higher spectrum efficiency and is more suitable for the scenario where the spectrum resource is limited [33][34][35][36].…”

mentioning

confidence: 99%

Trajectory optimization and resource allocation for UAV base stations under in-band backhaul constraint

Huang

Cui

Zhang

et al. 2020

J Wireless Com Network

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The application of unmanned aerial vehicles (UAVs) to emerging communication systems has attracted a lot of research interests due to the advantages of UAVs, such as high mobility, flexible deployment, and cost-effectiveness. The UAV-carried base stations (UAV-BS) can provide on-demand service to users in temporary or emergency events. However, how to optimize the communication performance of a UAV-BS with a limited-bandwidth wireless backhaul is still a challenge. This paper focuses on improving the spectrum efficiency of a UAV-BS while guaranteeing user fairness under in-band backhaul constraint. We propose to maximize the minimum user rate among all the users served by the UAV-BS by jointly optimizing the allocation of bandwidth and transmit power, as well as the trajectory of the UAV-BS. As the formulated problem is non-convex, we propose an efficient algorithm to solve it suboptimally based on the alternating optimization and successive convex optimization methods. Computer simulation results show that the proposed algorithm achieves a significantly higher minimum user rate than the benchmark schemes.

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3-D Drone-Base-Station Placement With In-Band Full-Duplex Communications

Cited by 60 publications

References 14 publications

Resource Allocation in Full-Duplex UAV Enabled Multismall Cell Networks

Resource Allocation in Full-Duplex UAV Enabled Multismall Cell Networks

Information leakage in bi‐directional IFD communication system with simultaneously transmitted jamming sequence

Trajectory optimization and resource allocation for UAV base stations under in-band backhaul constraint

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