Experimental analysis of wireless temporary networks deployed by low altitude platforms

Vilhar, Andrej; Hrovat, Andrej; Javornik, Tomaž; Mohorčič, Mihael

doi:10.1109/camad.2013.6708124

Cited by 9 publications

(11 citation statements)

References 4 publications

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“…The effect of MIMO antennas on near space solar powered platforms performance and capacity is discussed in [40][41][42], where it is argued that the antenna gain is optimized, to prevent users from experiencing weak radio across many miles. The ITU's International Mobile Telecommunications-Advanced (IMT-Advanced) standard for 4G offers access to various telecommunication services and supports mobile applications for various environments that offer high data rates to users.…”

Section: Performance Indicatorsmentioning

confidence: 99%

“…Results indicate that an aerial platform's wireless sensors are preferred as their shortest PL compares favourably to satellites, and their LoS connectivity compares favourably to terrestrial systems, which contributes to reducing BER and improving power consumption from ground sensors. The authors in [42] present a low cost and off-the-shelf balloon trial in Slovenia at altitudes ranging between 0.6 and 1.1 km above ground. Its coverage reaches up to a 9 km radius and its throughput varies depending on modulation and frequency band.…”

Section: Performance Indicatorsmentioning

confidence: 99%

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Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Almalki

Angelides

2019

Computing

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Having reliable telecommunication systems in the immediate aftermath of a catastrophic event makes a huge difference in the combined effort by local authorities, local fire and police departments, and rescue teams to save lives. This paper proposes a physical model that links base stations that are still operational with aerial platforms and then uses a machine learning framework to evolve ground-to-air propagation model for such an ad hoc network. Such a physical model is quick and easy to deploy and the underlying air-to-ground (ATG) propagation models are both resilient and scalable and may use a wide range of link budget, grade of service (GoS), and quality of service (QoS) parameters to optimise their performance and in turn the effectiveness of the physical model. The prediction results of a simulated deployment of such a physical model and the evolved propagation model in an ad hoc network offers much promise in restoring communication links during emergency relief operations.

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Section: Performance Indicatorsmentioning

confidence: 99%

Section: Performance Indicatorsmentioning

confidence: 99%

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Almalki

Angelides

2019

Computing

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“…angles as well. Proposed TDQ vs. FDQ of 802.11 [32]: We will show in Section IV that a distortion level of 10 −2 would be sufficient to attain nearly the same BER performance as that attained with the aid of perfect CSI, and hence 30 bits would be sufficient 6 to quantize each of the links between the transmit and receive antenna pair. That is, a total of N T DQ = 30N t N r bits are required in case of the proposed TDQ, where N t and N r are the number of transmit and receive antennas, respectively.…”

Section: B Proposed Tdq For A2g Channelmentioning

confidence: 99%

“…Finally, for the same system configuration, we have N T DQ = 120 bits, which is about fifteen times lower than N F DQ . 6 Note that the knowledge of delays (m i ) will be available at the transmitter due to channel reciprocity and hence need not be explicitly conveyed.…”

Section: B Proposed Tdq For A2g Channelmentioning

confidence: 99%

“…In the event of a disaster, a robust and reliable network, which can be promptly deployed, becomes necessary for aiding the disaster management operations as well as for providing temporary coverage over the disaster-struck region. Drones deployed as low-altitude platforms (LAPs) 1 [5] that provide connectivity via wireless fidelity (WiFi), or worldwide interoperability for microwave access (WiMAX) and terrestrial trunked radio (TETRA) were experimentally studied in [6], while that relying on long term evolution-advanced (LTE-A) was studied in [7]. Adaptive modulation and coding was designed in [8].…”

Section: Introductionmentioning

confidence: 99%

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A Beamforming-Aided Full-Diversity Scheme for Low-Altitude Air-to-Ground Communication Systems Operating With Limited Feedback

Rajashekar¹,

Renzo²,

Hari³

et al. 2018

IEEE Trans. Commun.

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Unmanned aerial vehicles (UAV) have gained significant popularity in the recent past owing to their easy deployability and wide range of applications. In most of the short and medium range applications, WiFi is used as the access technology for establishing communication between the ground stations and the UAVs. Although WiFi is known to perform well in most of the scenarios, it is important to note that WiFi has been mainly designed for indoor communication in rich scattering environments, whereas the air-to-ground (A2G) channel is characterised by sparse scattering. Considering this important difference in the channel characteristics, we revisit some of the WiFi features and propose efficient design alternatives. Firstly, we provide a statistical model for the sparse A2G channel and design an optimal time-domain quantizer (TDQ) for its feedback. In contrast to the frequency-domain quantizer (FDQ) of 802.11n/ac standard, the proposed TDQ exploits the time-domain sparsity in the channel and requires about fifteen times lesser quantization bits than FDQ. Secondly, we propose a beamforming scheme with the aid of full-diversity rotation (FDR) matrices and analytically evaluate its symbol error probability in order to quantify the attainable diversity order. Our numerical simulations demonstrate that the proposed FDR beamforming (FDR-BF) scheme outperforms the relevant benchmark schemes in both coded as well as uncoded scenarios. Specifically, the proposed FDR-BF scheme was observed to attain a signal-to-noise ratio gain as high as 6dB compared to the popular geometric mean decomposition based beamforming scheme, when operating at an elevation angle of 7.5 o .

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A survey of prototype and experiment for UAV communications

Song

Zeng

et al. 2021

Sci. China Inf. Sci.

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Unmanned aerial vehicle (UAV) communications have attracted significant attention from both academia and industry. To facilitate the large-scale usage of UAVs for various applications in practice, we provide a comprehensive survey on the prototype and experiment for UAV communications. To this end, we first provide an overview on the general architecture of the prototype and experiment for UAV communications, and then present experimental verification for air-to-ground channel models and UAV energy consumption models. Next, we discuss measurement experiments on two promising paradigms of UAV communications, namely cellular-connected UAVs and UAV-enabled aerial communication platforms. For the former, we focus on the feasibility study and address the interference mitigation issue. For UAV-enabled aerial communication platforms, we present three scenarios, namely UAV-enabled aerial base stations, UAVenabled aerial relays and UAV-enabled aerial data collection/dissemination. Finally, we point out some promising future directions for prototype and experimental measurements of UAV communications.

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Experimental analysis of wireless temporary networks deployed by low altitude platforms

Cited by 9 publications

References 4 publications

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

A Beamforming-Aided Full-Diversity Scheme for Low-Altitude Air-to-Ground Communication Systems Operating With Limited Feedback

A survey of prototype and experiment for UAV communications

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