Space diversity analysis for low elevation links in urban areas

Šimůnek, Michal; Pechač, Pavel; Pérez-Fontán, F.

doi:10.1109/eucap.2012.6206323

Cited by 11 publications

(15 citation statements)

References 2 publications

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“…Rician fading is used to model the small scale fading which occurs to the received signal. This model is used in UAV systems in order to model the small-scale fading in the channel [4], [5], [17]- [20]. This is because we assume that the line of sight component exists almost always (the system should be designed to guarantee this feature).…”

Section: Rician Fadingmentioning

confidence: 99%

“…According to Section (II-C), we have seen that the Rician factor will have its values within the interval [5][6][7][8][9][10][11][12][13][14][15]dB. Using the same discussion as in the previous part we could easily write the second term as follows:…”

Section: Rician Termmentioning

confidence: 99%

“…This involves any application that needs to perform complex mission in areas humans cannot reach, either because of safety issues (like working within a radioactive cloud), or other issues related to human beings (like working over enemy places) [1]- [3]. Besides, a lot of recent researches give a great interest to the communication channel between network nodes as it has a great effect on the whole network throughput [4], [5].…”

Section: Introductionmentioning

confidence: 99%

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General Form of the Transmission Quality Factor for Cost Functions in UAV Networks

Aljuneidi¹,

Jaamour²,

Khorzom³

2016

IJEEE

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Unmanned Aerial Vehicle "UAV" networks are rapidly evolving towards real world effective applications. Major research arenas are being motivated by industry activities in this domain, which demand for rapid exploitation of tremendous advantages of UAV networks. Routing is one of the most important functionalities in such networks. Based on channel characteristics, several factors play important roles in defining the best route for each node with its neighbors, which shall be set dynamically in real time. In this paper, we propose a computation of the required cost function for building the routing table; this cost function is strongly related to the transmission quality factor of the channel. We show the simplicity of our proposed method compared to Bit Error Rate "BER" calculation, together with an evaluation and assessment using simulation. 

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Section: Rician Fadingmentioning

confidence: 99%

Section: Rician Termmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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General Form of the Transmission Quality Factor for Cost Functions in UAV Networks

Aljuneidi¹,

Jaamour²,

Khorzom³

2016

IJEEE

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“…Another important issue that should be highlighted is the diversity performance of the LMS channel. There are limited research activities in this framework, eg, Kvicera and Pechac, for high elevation angles in a vegetative environment and for low elevation angles in an urban area. Therefore, it is essential to investigate the potential diversity improvement provided by selecting the best combining technique.…”

Section: Introductionmentioning

confidence: 99%

Statistical characterization of an urban dual‐polarized MIMO LMS channel

Nikolaidis

Moraitis

Kanatas

2018

Satell Commun Network

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This paper presents a thorough statistical characterization of a dual-polarized multiple-input-multiple-output channel, based on a measurement campaign of 2 land mobile satellite link scenarios in urban environments. The received signal is decomposed into its large-scale and small-scale fading parts, which are separately evaluated and characterized. The large-scale fading can be well approximated by the Lognormal distribution, whereas the small-scale fading in line-of-sight condition can be characterized as a Rician channel with a strong direct component and high Kfactors. On the other hand, in nonline-of-sight cases, the fading can be approximated by Nakagami or Rician distribution with low K-factors. The cross-polar discrimination is found between 14.2 and 22.5 dB, whereas the cross-polar isolation is found between 12.8 and 21 dB, respectively. Finally, assessing the diversity performance, applying the maximal ratio combining technique, it is found that the left-hand circular polarized transmission outperforms the right-hand circular polarized transmission, providing gains up to 2.5 dB, especially in nonline-of-sight cases. The low-diversity gains indicate that beamforming would be preferable to be applied in the specific channel.KEYWORDS channel characterization, channel modeling, dual-polarized, multiple-input-multiple-output (MIMO) satellite measurements | INTRODUCTIONIn the years to come, new narrowband satellite communication technologies will allow for direct connection of millions of Internet of Things (IoT) devices in a resource efficient way. The ultimate success of global IoT coverage will depend on the active support of satellite networks providing L-band and S-band services. Satellite technology serves as a key enabler to transform IoT connectivity across industries and geographical borders and has the potential to play a key role in cases where sensors and actuators are distributed over a very wide area as well as in remote areas not served by terrestrial access networks. Indeed, the use of the satellite is found to be of great importance in some applications of IoT, like smart grid, environmental monitoring, and emergency management, because satellite communications have unique merits such as large-scale coverage, superb ability to support emerging communications services, and cost effectiveness for broadcast/multicast connectivity. 1-3 Bringing wide-area connectivity for the IoT by using satellite technology is therefore an attractive solution to complement terrestrial networks, allowing densification and coverage extension in remote areas. 4The proliferation of multiantenna technology and its adoption in terrestrial communication systems provided unprecedented capacity improvement and enhanced spectral efficiency. The applicability of multiple-input-multiple-output (MIMO) techniques is also an appealing solution in satellite communication systems with a very promising outlook. 5,6 Specifically, land mobile satellite (LMS) systems can take advantage of MIMO techniques and achieve substantially in...

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“…Preliminary results were presented in [8], so this paper presents the deep analysis of space diversity effectiveness, based on stable parts of the received signal, quantified by diversity gain and compared with the Rayleigh series for UAV links in wooded areas. We also analyze the influence of the antennas' mutual distance and elevation angle on diversity gain.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of UAV Link Space Diversity in Wooded Areas

Šimůnek

Pechač

Fontán

2013

International Journal of Antennas and Propagation

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Space diversity techniques provide an effective way to mitigate the deep fades in received power in a scattering environment. Space diversity influence on narrowband UAV links, which are unique due to the elevation angle and mutual position of a moving transmitter in homogeneous environment and static receiver in scattering environment, is analyzed in a wooded area using a remotely controlled airship at 2 GHz. The experimental link forms a 1x4 SIMO configuration with influence quantified by values of diversity gain and subsequent comparison with Rayleigh fading series. The mutual antenna distance and elevation angle influence is also studied as the difference between the wooded area and an open field or urban environment.

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Space diversity analysis for low elevation links in urban areas

Cited by 11 publications

References 2 publications

General Form of the Transmission Quality Factor for Cost Functions in UAV Networks

General Form of the Transmission Quality Factor for Cost Functions in UAV Networks

Statistical characterization of an urban dual‐polarized MIMO LMS channel

Feasibility of UAV Link Space Diversity in Wooded Areas

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