Network Graph Generation Through Adaptive Clustering and Infection Dynamics: A Step Toward Global Connectivity

Rahman, Aniq Ur; Fourati, Fares; Ngo, Khac-Hoang; Jindal, Anish; Alouini, Mohamed‐Slim

doi:10.1109/lcomm.2022.3146606

Cited by 5 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fig. 2(a) plots the sum rate obtained by solving the optimization problem in (7) as a function of θ. The result is obtained for R = 100 m, h = 100 m, and different values of λ.…”

Section: A Rural/sub-urban Scenariomentioning

confidence: 99%

“…We observe that J increases with θ, and good fairness is achieved at the optimal sector beamwidth. This can be attributed to constraint C 6 in (7), where a minimum data rate is guaranteed to each user. Thus, we conclude that the proposed resource allocation ensures fairness among all the users in a cell.…”

Section: A Rural/sub-urban Scenariomentioning

confidence: 99%

“…UAVs, in particular, have been proposed to bridge the digital divide and provide on-demand networks for applications such as disaster management, medical camps, network exploration, and surveillance [6], [7]. Deploying a UAV as a BS (UAV-BS) is quick and affordable compared to a terrestrial network infrastructure, and when operating in the millimeter-wave (mmwave) bands can promote cost-effective ubiquitous coverage, high throughput, and low latency even in rural areas [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the Optimal Beamwidth of UAV-Assisted Networks Operating at Millimeter Waves

Rawat¹,

Giordani²,

Lall³

et al. 2023

Preprint

View full text Add to dashboard Cite

The millimeter-wave (mm-wave) bands enable very large antenna arrays that can generate narrow beams for beamforming and spatial multiplexing. However, directionality introduces beam misalignment and leads to reduced energy efficiency. Thus, employing the narrowest possible beam in a cell may not necessarily imply maximum coverage. The objective of this work is to determine the optimal sector beamwidth for a cellular architecture served by an unmanned aerial vehicle (UAV) acting as a base station (BS). The users in a cell are assumed to be distributed according to a Poisson Point Process (PPP) with a given user density. We consider hybrid beamforming at the UAV, such that multiple concurrent beams serve all the sectors simultaneously. An optimization problem is formulated to maximize the sum rate over a given area while limiting the total power available to each sector. We observe that, for a given transmit power, the optimal sector beamwidth increases as the user density in a cell decreases, and varies based on the height of the UAV. Thus, we provide guidelines towards the optimal beamforming configurations for users in rural areas.

show abstract

“…Fig. 2(a) plots the sum rate obtained by solving the optimization problem in (7) as a function of θ. The result is obtained for R = 100 m, h = 100 m, and different values of λ.…”

Section: A Rural/sub-urban Scenariomentioning

confidence: 99%

Section: A Rural/sub-urban Scenariomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the Optimal Beamwidth of UAV-Assisted Networks Operating at Millimeter Waves

Rawat¹,

Giordani²,

Lall³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In addition, airborne platforms, such as unmanned aerial vehicles (UAVs), can foster the rollout of on-demand fifth-generation (5G) and beyond networks for the needs of various industrial setups, including maritime domain [3]. Hence, vessel operators can benefit from different integrated terrestrial and non-terrestrial backhaul solutions [4].…”

Section: Introductionmentioning

confidence: 99%

Cost- and Delay-Efficient Backhaul Selection for Time-Sensitive Maritime Communications

et al. 2023

View full text Add to dashboard Cite

Extending the existing near-shore terrestrial infrastructure with non-terrestrial network capabilities helps maritime operators alleviate the high costs of communication and meet the requirements imposed by time-sensitive applications. Recognizing that the deployment of terrestrial and non-terrestrial networks necessitates selecting from the available wireless backhaul solutions, which have dissimilar data transmission costs and communication link qualities, it is essential to propose an appropriate backhaul selection policy. Specifically, in this letter, we coin a backhaul selection policy that manages the inherent tradeoff between data transmission expenses and timely throughput guarantees for maritime communications. We formulate the backhaul selection problem as a Markov decision process and show that the proposed solution is not only more cost-efficient, but also satisfies the timely throughput requirements in contrast to currently used greedy strategies.

show abstract