LTE in the sky: trading off propagation benefits with interference costs for aerial nodes

Bergh, Bertold Van Der; Chiumento, Alessandro; Pollin, Sofie

doi:10.1109/mcom.2016.7470934

Cited by 307 publications

(161 citation statements)

References 8 publications

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“…Moreover, the use of channel sounding equipment is important with regard to on-board space limitations, payload weight, bandwidth requirements and multipath resolution. To this end, channel characterization with USRP hardware, such as N-210 [46], B-210 [48], X-310 [102], [103] and B-200 mini can provide flexible platform due to lighter weight, low power consumption, wideband frequencies and capable to test different wireless communication protocols, such as multi-carrier and MIMO system in UAV communication framework. Other possible choices for channel measurement hardware used by different researchers are P410 UWB radio [47], autonomous mobile network scanner by Rohde & Schwarz [64] and 3G/4G enabled smart-phones [65], [74].…”

Section: A Uav Measurement Campaignsmentioning

confidence: 99%

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

685

346

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Unmanned aerial vehicles (UAVs) have gained great interest for rapid deployment in both civil and military applications. UAV communication has its own distinctive channel characteristics compared with widely used cellular and satellite systems. Thus, accurate channel characterization is crucial for the performance optimization and design of efficient UAV communication systems. However, several challenges exist in UAV channel modeling. For example, propagation characteristics of UAV channels are still less explored for spatial and temporal variations in non-stationary channels. Also, airframe shadowing has not yet been investigated for small size rotary UAVs. This paper provides an extensive survey on the measurement campaigns launched for UAV channel modeling using low altitude platforms and discusses various channel characterization efforts. We also review the contemporary perspective of UAV channel modeling approaches and outline some future research challenges in this domain.

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Section: A Uav Measurement Campaignsmentioning

confidence: 99%

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

685

346

View full text Add to dashboard Cite

show abstract

“…However, the cache-aided ground SBSs may not be able to support the users in high rise building scenarios [19] and in emergency situations where the ground infrastructures fail or there is a sudden and temporary surge of traffic demand [20]. The UAVs with high maneuverability and flexibility can be used as flying relays [21] to dynamically cache the popular content files from the cache-aided ground BSs and then effectively disseminate them to the users [22].…”

Section: B Related Workmentioning

confidence: 99%

“…In this scenario, the role of UAV can be either terminal UE served by static BSs or flying relays that forward files to other UEs, aiming at alleviating the peak backhaul traffic and assisting the SBSs. Recent works [20], [21] and [24] have extended conventional terrestrial cellular services to aerial users in the 5G networks. In addition, the 3GPP launched an investigation on enhanced LTE support for aerial users in 2017 and proposed a channel model for aerial UEs [25].…”

Section: B Related Workmentioning

confidence: 99%

Probabilistic Caching for Small-Cell Networks With Terrestrial and Aerial Users

Song

Ding

et al. 2019

IEEE Trans. Veh. Technol.

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The support for aerial users has become the focus of recent 3GPP standardizations of 5G, due to their high maneuverability and flexibility for on-demand deployment. In this paper, probabilistic caching is studied for ultra-dense smallcell networks with terrestrial and aerial users, where a dynamic on-off architecture is adopted under a sophisticated path loss model incorporating both line-of-sight and non-line-of-sight transmissions. Generally, this paper focuses on the successful download probability (SDP) of user equipments (UEs) from small-cell base stations (SBSs) that cache the requested files under various caching strategies. To be more specific, the SDP is first analyzed using stochastic geometry theory, by considering the distribution of such two-tier UEs and SBSs as Homogeneous Poisson Point Processes. Second, an optimized caching strategy (OCS) is proposed to maximize the average SDP. Third, the performance limits of the average SDP are developed for the popular caching strategy (PCS) and the uniform caching strategy (UCS). Finally, the impacts of the key parameters, such as the SBS density, the cache size, the exponent of Zipf distribution and the height of aerial user, are investigated on the average SDP. The analytical results indicate that the UCS outperforms the PCS if the SBSs are sufficiently dense, while the PCS is better than the UCS if the exponent of Zipf distribution is large enough. Furthermore, the proposed OCS is superior to both the UCS and PCS.

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“…With the emergence of UAVs and their broad range of applications, many studies already address the possibility to provide wireless connectivity through UABSs [2][3][4], although not necessarily for a disaster scenario. The approaches for the optimal positioning of these UABSs can largely be divided into two groups [5].…”

Section: Related Workmentioning

confidence: 99%

“…When deploying a UABS network next to a terrestrial network, the interference impact between the ground and UABS network should be considered as been done in [4,16,17]. Furthermore, the management of the UABS network itself is also an important issue as discussed in [18][19][20].…”

Section: Related Workmentioning

confidence: 99%

Designing UAV-aided emergency networks for large-scale disaster scenarios

Deruyck

Wyckmans

Joseph

et al. 2018

J Wireless Com Network

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Today's wireless communication networks are very reliable. However, in case of a disaster, these networks can be overwhelmed by a tremendous amount of requests which they can not cope with. We propose a deployment tool for UAV (unmanned aerial vehicle)-aided emergency networks for such disaster scenarios. By using UAVs, femtocell base stations will be brought to and hovered at their assigned location. We applied this deployment tool on a realistic disaster scenario in the city center of Ghent, Belgium. The results are very promising although a large amount of drones (> 1000 type 1 or > 370 type 2 drones) is required to provide full coverage for 1 h. Halving the user coverage results in 1.8 to 2 times less drones. More effectively is to increase the drone's fly height. A 10-m higher fly height can result in a reduction up to 13%. However, above 100 m, the influence is not significant any more. Decreasing the user's service level has no significant influence on the number of required drones for the considered scenario. Furthermore, a prediction model for the number of required drones based on the intervention duration and the user coverage is proposed.

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LTE in the sky: trading off propagation benefits with interference costs for aerial nodes

Cited by 307 publications

References 8 publications

A Survey of Channel Modeling for UAV Communications

A Survey of Channel Modeling for UAV Communications

Probabilistic Caching for Small-Cell Networks With Terrestrial and Aerial Users

Designing UAV-aided emergency networks for large-scale disaster scenarios

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