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

Rahmati, Ali; Hosseinalipour, Seyyedali; Yapıcı, Yavuz; He, Xiuli; Güvenç, İsmail; Dai, Huaiyu; Bhuyan, Arupjyoti

doi:10.48550/arxiv.1904.07781

Cited by 1 publication

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“…As discussed earlier, SIR Link 1 and SIR Link 2 are, in general, non-convex functions w.r.t x MSI . This results in non-convexity of (11). The direct approach to solve (11) is to obtain the mathematical expressions of SIR Link 1 and SIR Link 2 , and then solve (11) using a non-convex optimization technique.…”

Section: Jammer Placement In Dual-hop Settingmentioning

confidence: 99%

“…This results in non-convexity of (11). The direct approach to solve (11) is to obtain the mathematical expressions of SIR Link 1 and SIR Link 2 , and then solve (11) using a non-convex optimization technique. However, functions SIR Link 1 and SIR Link 2 are piecewisedefined functions.…”

Section: Jammer Placement In Dual-hop Settingmentioning

confidence: 99%

“…Also, it can be noticed that upon having multiple UAVs this approach is intractable. Considering this fact, we propose a systematic approach to efficeintly obtain the solution of (11).…”

Section: Jammer Placement In Dual-hop Settingmentioning

confidence: 99%

“…Considering a major source of interference (MSI), the optimal placement of the UAV relays along with identifying the minimum number of required UAVs to satisfy a desired communication quality are studied in [9], [10]. A joint power allocation and trajectory design is proposed in [11], [12] to evade the interference caused by another established wireless network. In [13], the optimal position and jamming power of a legitimate UAV monitor are obtained to maximize the average surveillance rate.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Jammer Placement in UAV-assisted Relay Networks

Hosseinalipour,

Rahmati,

Dai

2020

Preprint

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We consider the relaying application of unmanned aerial vehicles (UAVs), in which UAVs are placed between two transceivers (TRs) to increase the throughput of the system. Instead of studying the placement of UAVs as pursued in existing literature, we focus on investigating the placement of a jammer or a major source of interference on the ground to effectively degrade the performance of the system, which is measured by the maximum achievable data rate of transmission between the TRs. We demonstrate that the optimal placement of the jammer is in general a non-convex optimization problem, for which obtaining the solution directly is intractable. Afterward, using the inherent characteristics of the signal-to-interference ratio (SIR) expressions, we propose a tractable approach to find the optimal position of the jammer. Based on the proposed approach, we investigate the optimal positioning of the jammer in both dualhop and multi-hop UAV relaying settings. Numerical simulations are provided to evaluate the performance of our proposed method.

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Section: Jammer Placement In Dual-hop Settingmentioning

confidence: 99%

Section: Jammer Placement In Dual-hop Settingmentioning

confidence: 99%

“…Also, it can be noticed that upon having multiple UAVs this approach is intractable. Considering this fact, we propose a systematic approach to efficeintly obtain the solution of (11).…”

Section: Jammer Placement In Dual-hop Settingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Jammer Placement in UAV-assisted Relay Networks

Hosseinalipour,

Rahmati,

Dai

2020

Preprint

Self Cite

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

Cited by 1 publication

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Optimal Jammer Placement in UAV-assisted Relay Networks

Optimal Jammer Placement in UAV-assisted Relay Networks

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