Experimental evaluation of beamforming on UAVs in cellular systems

Izydorczyk, Tomasz; Ginard, Michel Massanet; Svendsen, Simon; Berardinelli, Gilberto; Mogensen, Preben

doi:10.1109/vtc2020-fall49728.2020.9348711

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…This method has also been applied in full-duplex wireless powered communication to curtail self-interference and improve the throughput among the users [12]. In [13] and [14], a review of the beamforming methods and the factors which affects beamforming were discussed. The first factor which affects beamforming is the array design which focus on the array configuration used in the design of the antenna as its ability to scan the main beam in three-dimensional space based on the elevation and azimuth angle.…”

Section: Indroductionmentioning

confidence: 99%

“…Beamforming using UAV The Beamforming used in UAV for wireless communication to direct a signal/beam to an intended receiver. Beamforming is applied in some research where uplink has higher throughput for on board UAV [11] [14]. The benefits of implementing beamforming include increased coverage since the beam is directed to a destination, higher data rate and quality of service, high security since the beams are not broadcasted in all the directions and less interference.…”

Section: Related Work and Motivationmentioning

confidence: 99%

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A Dome packing method for UAV positioning using 3D Beamforming in WPCN for water distribution network

Radhakrishnan

2021

2021 26th International Conference on Automation and Computing (ICAC)

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In the practical implementation of wireless powered communication network (WPCN) project, the energy consumption is an important factor to evaluate the performance and efficiency of the communication. In this project, a UAV enabled WPCN acts as a hybrid access point to handle multiple ground terminals (GT's) in an uneven plane. The ground terminals will harvest radio frequency (RF) energy from the RF signals directed by the UAV and these terminal uses this harvested energy to send information to the uplink. The objective of the paper is to find an optimal position of UAV using a proposed dome packing method to navigate the UAV, thus UAV will be able to charge the GTs within the cluster using 3D beamforming method where the beam will be focusing to a particular terminal rather than broadcasting the signals everywhere and thereby minimize the total energy consumption and mission completion time.

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Section: Indroductionmentioning

confidence: 99%

Section: Related Work and Motivationmentioning

confidence: 99%

A Dome packing method for UAV positioning using 3D Beamforming in WPCN for water distribution network

Radhakrishnan

2021

2021 26th International Conference on Automation and Computing (ICAC)

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“…On the other hand, directional antennas and beam selection represent a suitable technique for our use case since it minimizes the detrimental effects of half-duplex problems and generally improves the signal-to-noise-plus-interference ratio (SINR). For example, directional antennas equipped in a unmanned aerial vehicle (UAV) [28], unmanned ground vehicle (UGV) [29], or a car [30] reduced the number of handovers, achieve a robust long-range communication link, or increase the reference signal received power (RSRP) and reference signal received quality (RSRQ), respectively.…”

Section: Introductionmentioning

confidence: 99%

Robust Decentralized Cooperative Resource Allocation for High-Dense Robotic Swarms by Reducing Control Signaling Impact

et al. 2022

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High throughput, low latency, and high reliability in proximity communications for swarm robotics can be achieved using decentralized cooperative resource allocation schemes. These cooperative schemes minimize the occurrence of half-duplex problems, reduce interference, and allow a significant increase in the achievable swarm density, but requires additional signaling overhead, which makes them potentially more prone to performance degradation under realistic operation conditions. These conditions include both data, signaling, and their interdependence evaluated jointly. The negative impact of the signaling errors requires incorporating enhancement techniques to realize the full potential of the cooperative schemes. Particularly, in this paper and for this purpose, we evaluate the effects of hybrid automatic repeat request (HARQ), link adaptation by aggregation (LAAG) and beam selection by using directional antennas in the cooperative schemes, and compare performance with 3 rd Generation Partnership Project (3GPP) NR sidelink mode 2 (including signaling) using the same techniques. Additionally, we include a comparison of the required number of control signals between sidelink mode 2 inter-UE coordination (IUC) and cooperative schemes, and introduce a decentralized rebel sub-mode behavior in our group scheduling scheme to further improve the performance at the 99.99 percentile. The simultaneous use of all these enhancement techniques in our cooperative schemes considerably reduces the impact of signaling errors and thereby increases the supported swarm size compared to sidelink mode 2.

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“…We can partially remedy this interference problem by using beamforming on the UAV side [3], or by using downtilted directional antenna [4]. A directional antenna focuses the radiated energy spatially in one mainbeam, limiting the radiation in other directions.…”

Section: Introductionmentioning

confidence: 99%

Uplink coexistence for high throughput UAVs in cellular networks

Zaki-Hindi

Amorim

Kovács

et al. 2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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We focus in this paper on Cellular-connected Uncrewed Aerial Vehicles (UAVs) in a scenario of a cameraequipped UAV, streaming a live event. The UAV coexists with a large number of ground User Equipment (gUEs) belonging to people attending the same event, and using the network to transmit their data. Hence the cellular network must satisfy the high data rate demand of both the UAV and gUEs. For that, we explore interference mitigation solutions, and propose a novel algorithm for UAV cell-selection which minimizes the impact of the UAV to the concerned serving cell. The results demonstrate an uplink data-rate gain of 32% for gUEs in the crowded cell, compared to the standard algorithm, while achieving a target UAV throughput of 20 Mbps. This comes at a cost of increased UAV transmission power of 50% and a slight data rate degradation for gUEs in neighboring cells, up to 13%.

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Experimental evaluation of beamforming on UAVs in cellular systems

Cited by 7 publications

References 10 publications

A Dome packing method for UAV positioning using 3D Beamforming in WPCN for water distribution network

A Dome packing method for UAV positioning using 3D Beamforming in WPCN for water distribution network

Robust Decentralized Cooperative Resource Allocation for High-Dense Robotic Swarms by Reducing Control Signaling Impact

Uplink coexistence for high throughput UAVs in cellular networks

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