Downlink Coverage Analysis of an Aerial User in Vertical Heterogeneous Networks

Cherif, Nesrine; Amroune, Mohamed; Yanıkömeroğlu, Halim; Yongaçoğlu, Abbas

doi:10.1109/globecom38437.2019.9013981

Cited by 16 publications

(16 citation statements)

References 32 publications

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“…However, the LoS probability in (2) is not a continuous but a step function of z. Thus, to ease the calculation of the LoS probability, similar to [14] we adopt the expression:…”

Section: B Blockage Modelmentioning

confidence: 99%

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Outage Analysis for Millimeter-Wave Fronthaul Link of UAV-Aided Wireless Networks

2020

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Unmanned Aerial Vehicle (UAV)-wireless networks represent a promising solution to expand the reach of mobile connectivity beyond current boundaries. When Distributed Units (DUs) are deployed on the UAV, the high rate requirement on the wireless Fronthaul (FH) link between the UAV-DU and the terrestrial network poses a major challenge. To address the capacity demand of the FH network, we investigate the outage probability at millimeter Wave (mmWave) and sub-6 GHz frequency for different blockage environments and UAV heights. Utilizing a stochastic geometry framework, we first derive analytical approximate expressions for the outage probability of the FH link and we observe generally a good agreement with the simulation results for different UAV heights. In addition, numerical results for different urban densities show that the FH outage probability is minimized choosing an optimal UAV-DU altitude. We further analyze the impact of the antenna gain for two candidate mmWave frequencies on the FH link. High mmWave bands need sharp directional beamforming and large transmit bandwidth to outperform low mmWave bands in term of rate outage. Finally, our results show the impact on the outage probability of the FH overhead, that scales with the number of antenna elements, for different protocol splits.

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“…However, the LoS probability in (2) is not a continuous but a step function of z. Thus, to ease the calculation of the LoS probability, similar to [14] we adopt the expression:…”

Section: B Blockage Modelmentioning

confidence: 99%

“…The performance of a vertical Heterogeneous Network (HetNet) comprising aerial BSs and terrestrial BSs is investigated in [13]. Similarly, [14] analyzes the performance of an aerial UE served by terrestrial and aerial BSs.…”

Section: Introductionmentioning

confidence: 99%

Outage Analysis for Millimeter-Wave Fronthaul Link of UAV-Aided Wireless Networks

2020

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“…In conjunction with the RFA, WBJs, and decoupled access, the coverage probability in UL is derived as [11], [23] = follows by the definition of Laplace transform of interference. Finally, the UL coverage probability of the target UE with RFA, WBJs, and decoupled access is obtained by substituting (8), (10), (15), and (6) in (17) and is expressed in (20).…”

Section: Coverage Probability Analysismentioning

confidence: 99%

“…The final expression of the UL coverage probability in conjunction with RFA, WBJs, and non-decoupled access can be obtained by substituting the values of (9), (11), (15), and 7in (19) and is expressed in (21). Here, a two-tier A-HetNet is analyzed by employing RFA in the presence of WBJs.…”

Section: Coverage Probability Analysismentioning

confidence: 99%

Clustered Jamming in Aerial HetNets With Decoupled Access

et al. 2020

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The tremendous increase in wireless connectivity demand will result in the degradation of the service quality and the scarcity of network capacity and coverage in the beyond 5 th generation era. To ensure reliable connectivity and enhance the network's performance, the evolution of heterogeneous networks (HetNets) must incorporate aerial platforms in addition to traditional terrestrial base stations. The performance of Aerial-HetNets (A-HetNets) is largely dependent on the users' association. The conventional user-association scheme based on downlink received power provides sub-optimal performance for the edge users. For this reason, decoupled user-association along with the reverse frequency allocation (RFA) strategy has been employed in A-HetNets. The performance of A-HetNets is also affected if wide-band jammers (WBJs) are present in the vicinity and impose jamming interference. In this paper, a two-tier A-HetNet with RFA and decoupled access is analyzed in the presence of jamming interference. The obtained results show that for a signal-to-interference ratio threshold of −20 dBm, the percentage decrease in the coverage probability of the decoupled access due to WBJ activity is up to 7.4%, 13.5%, and 19.7%, for the average number of WBJs equal to 2, 4, and 6, respectively. The performance of the decoupled access in A-HetNets is further decreased by increasing the transmit power of the WBJs while it is increased by increasing the radius of the WBJ's cluster. INDEX TERMS Downlink and uplink decoupling, Heterogeneous networks, Unmanned aerial vehicles, Wide-band jammers.

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“…For instance, in [14], we proposed a MIMO conjugate beamforming scheme that can improve the cellular connectivity for UAV-UEs and enhance the system spectral efficiency. Moreover, the authors in [17] incorporated directional beamforming at aerial BSs to alleviate the strong LoS interference seen by their served UAV-UEs. However, while interesting, the works in [14]- [18] only considered scenarios of static UAV-UEs.…”

mentioning

confidence: 99%

Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs

Amer

Saad

Marchetti

2020

IEEE Trans. Commun.

132

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Providing connectivity to unmanned aerial vehicle-user equipments (UAV-UEs), such as drones or flying taxis, is a major challenge for tomorrow's cellular systems. In this paper, the use of coordinated multi-point (CoMP) transmission for providing seamless connectivity to UAV-UEs is investigated. In particular, a network of clustered ground base stations (BSs) that cooperatively serve a number of UAV-UEs is considered. Two scenarios are studied: scenarios with static, hovering UAV-UEs and scenarios with mobile UAV-UEs. Under a maximum ratio transmission, a novel framework is developed and leveraged to derive upper and lower bounds on the UAV-UE coverage probability for both scenarios.Using the derived results, the effects of various system parameters such as collaboration distance, UAV-UE altitude, and UAV-UE velocity on the achievable performance are studied. Results reveal that, for both static and mobile UAV-UEs, when the BS antennas are tilted downwards, the coverage probability of a high-altitude UAV-UE is upper bounded by that of ground users regardless of the transmission scheme. Moreover, for low signal-to-interference-ratio thresholds, it is shown that CoMP transmission can improve the coverage probability of UAV-UEs, e.g., from 28% under the nearest association scheme to 60% for a collaboration distance of 200 m. Meanwhile, key results on mobile UAV-UEs unveil that not only the spatial displacements of UAV-UEs but also their vertical motions affect their handover rate and coverage probability. In particular, UAV-UEs that have frequent vertical movements and high direction switch rates are expected to have low handover probability and handover rate. Finally, the effect of the UAV-UE vertical movements on its coverage probability is marginal if the UAV-UE retains the same mean altitude.The past few years have witnessed a tremendous increase in the use of unmanned aerial vehicles (UAVs), popularly called drones, in many applications, such as aerial surveillance, package delivery, and even flying taxis [2]- [6]. Enabling such UAV-centric applications requires ubiquitous wireless connectivity that can be potentially provided by the pervasive wireless cellular network [7] and [8]. However, in order to operate cellular-connected UAVs using existing wireless systems, one must address a broad range of challenges that include interference mitigation, reliable communications, resource allocation, and mobility support [9]. Next, we review some of the works relevant to the cellular-connected UAV-enabled networks. A. State of the Art and Prior WorksRecently, cellular-connected UAVs have received significant attention, whereby UAVs as new user equipments (UEs) are integrated into the cellular network in order to ensure reliable and secure connectivity for the operations of UAV systems. However, it has been established that the dominance of line-of-sight (LoS) links makes inter-cell interference a critical issue for cellular systems with hybrid terrestrial and aerial UEs. In this regard, extensive real-world simulations...

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Downlink Coverage Analysis of an Aerial User in Vertical Heterogeneous Networks

Cited by 16 publications

References 32 publications

Outage Analysis for Millimeter-Wave Fronthaul Link of UAV-Aided Wireless Networks

Outage Analysis for Millimeter-Wave Fronthaul Link of UAV-Aided Wireless Networks

Clustered Jamming in Aerial HetNets With Decoupled Access

Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs

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