Broadband Air-to-Ground communications with adaptive MIMO datalinks

Zhang, Chao; Hui, Yannian

doi:10.1109/dasc.2011.6095912

Cited by 8 publications

(4 citation statements)

References 8 publications

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“…Beamforming using antenna arrays operating at mmWave frequencies, for example, can be used to overcome fading and improve coverage, but array processing will require high computational resources onboard. The employment of MIMO systems for enhancing the channel capacity of the AG propagation channel has been suggested in [41], [42]. By changing the diameter of a circular antenna array and the UAV flying altitude, different values of MIMO channel capacity were obtained [41].…”

Section: Antenna Configurations For Uav Ag Propagationmentioning

confidence: 99%

“…By changing the diameter of a circular antenna array and the UAV flying altitude, different values of MIMO channel capacity were obtained [41]. Whereas in [42], optimizing the distance between the antenna elements using linear adaptive antenna arrays was proposed to increase MIMO channel capacity.…”

Section: Antenna Configurations For Uav Ag Propagationmentioning

confidence: 99%

“…As previously noted, the most common small scale fading distribution for AG propagation is the Ricean. As in terrestrial channels, for the NLOS case, the Rayleigh fading distribution typically provides a better fit [30], [34], [42], [45], [47], [93], [115], and of course, other distributions such as the Nakagamim and Weibull distributions might also be employed. Small scale fading rates depend upon velocity, and these rates are proportional to the Doppler spreads of the MPCs [43], [46], [47], [50], [57], [57].…”

Section: Small Scale Fading Modelsmentioning

confidence: 99%

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A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

Khawaja

Güvenç

Matolak

et al. 2019

IEEE Commun. Surv. Tutorials

556

206

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In recent years, there has been a dramatic increase in the use of unmanned aerial vehicles (UAVs), particularly for small UAVs, due to their affordable prices, ease of availability, and ease of operability. Existing and future applications of UAVs include remote surveillance and monitoring, relief operations, package delivery, and communication backhaul infrastructure. Additionally, UAVs are envisioned as an important component of 5G wireless technology and beyond. The unique application scenarios for UAVs necessitate accurate air-to-ground (AG) propagation channel models for designing and evaluating UAV communication links for control/non-payload as well as payload data transmissions. These AG propagation models have not been investigated in detail when compared to terrestrial propagation models. In this paper, a comprehensive survey is provided on available AG channel measurement campaigns, large and small scale fading channel models, their limitations, and future research directions for UAV communication scenarios.

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Section: Antenna Configurations For Uav Ag Propagationmentioning

confidence: 99%

Section: Antenna Configurations For Uav Ag Propagationmentioning

confidence: 99%

Section: Small Scale Fading Modelsmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

Khawaja

Güvenç

Matolak

et al. 2019

IEEE Commun. Surv. Tutorials

556

206

View full text Add to dashboard Cite

show abstract

“…In [15], Jamal et al investigated multiple antenna and diversity techniques in multicarrier communication systems and showed that receive antenna separation increases the diversity gain of the system at short link distances. In [16], Zhang et al studied the adaptive MIMO antenna array where the antenna spacing was optimized to reduce the channel correlation and maximize the system capacity. In [17], Chen et al implemented and studied the performance of a long-range broadband aerial communication system using directional antennas.…”

Section: Introductionmentioning

confidence: 99%

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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G2A Communication Channel Modeling and Characterization Using Confocal Prolates

Mirza

Khan

2020

Wireless Pers Commun

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Broadband Air-to-Ground communications with adaptive MIMO datalinks

Cited by 8 publications

References 8 publications

A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

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

G2A Communication Channel Modeling and Characterization Using Confocal Prolates

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