Uplink Energy Efficiency Distribution With Aerial Users in Cellular Networks

Hmamouche, Yassine; Benjillali, Mustapha; Saoudi, Samir; Costa, Daniel Benevides da

doi:10.1109/lwc.2020.3029544

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…In [267], UAVs are abstracted as aerial UEs. The authors have derived the uplink EE coverage under a setup where two classes of PPP terrestrial and aerial UEs are served by ground BSs.…”

Section: B Non-terrestrial Networkmentioning

confidence: 99%

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New Trends in Stochastic Geometry for Wireless Networks: A Tutorial and Survey

et al. 2021

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Next generation wireless networks are expected to be highly heterogeneous, multi-layered, with embedded intelligence at both the core and edge of the network. In such a context, system-level performance evaluation will be very important to formulate relevant insights into tradeoffs that govern such a complex system. Over the past decade, stochastic geometry (SG) has emerged as a powerful analytical tool to evaluate system-level performance of wireless networks and capture their tendency towards heterogeneity. However, with the imminent onset of this crucial new decade, where global commercialization of fifthgeneration (5G) is expected to emerge and essential research questions related to beyond fifth-generation (B5G) are intended to be identified, we are wondering about the role that a powerful tool like SG should play. In this paper, we first aim to track and summarize the novel SG models and techniques developed during the last decade in the evaluation of wireless networks. Next, we will outline how SG has been used to capture the properties of emerging radio access networks (RANs) for 5G/B5G and quantify the benefits of key enabling technologies. Finally, we will discuss new horizons that will breathe new life into the use of SG in the foreseeable future. For instance, using SG to evaluate performance metrics in the visionary paradigm of molecular communications. Also, we will review how SG is envisioned to cooperate with machine learning seen as a crucial component in the race towards ubiquitous wireless intelligence. Another important insight is Grothendieck toposes considered as a powerful mathematical concept that can help to solve longstanding problems formulated in SG.

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“…In [267], UAVs are abstracted as aerial UEs. The authors have derived the uplink EE coverage under a setup where two classes of PPP terrestrial and aerial UEs are served by ground BSs.…”

Section: B Non-terrestrial Networkmentioning

confidence: 99%

“…As an illustration, we plot in Fig. 12 the fluctuations of the uplink terrestrial coverage EE, i.e., the probability that the uplink EE of terrestrial UEs is greater than a predefined threshold, as a function of aerial UEs parameters [267].…”

Section: B Non-terrestrial Networkmentioning

confidence: 99%

New Trends in Stochastic Geometry for Wireless Networks: A Tutorial and Survey

et al. 2021

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“…It will be easier to predict the CSI in 3-D positions based on the location information of terrestrial devices and communication performance [7]. Intuitively, the aerial platforms play a dominant role in the NTNs with 3-D mobility, flexibility, and adaptable altitude, who are often regarded as ABSs [8]- [10], relay platforms [11]- [13], or user equipment [14], [15] in NTNs. Different types of platforms possess distinct operating features, such as frequency bands or wavelength, the operating altitude, flight duration, and the size of platforms.…”

Section: Introductionmentioning

confidence: 99%

Nonterrestrial Communications Assisted by Reconfigurable Intelligent Surfaces

Qiao

Kammoun

et al. 2022

Proc. IEEE

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| Nonterrestrial communications have emerged as a key enabler for seamless connectivity in the upcoming generation networks. This kind of network can support high data rate communications among aerial platforms (i.e., unmanned aerial vehicles (UAVs), high-altitude platforms (HAPs), and satellites) and cellular networks, achieving anywhere and anytime connections. However, there are many practical implementation limitations, especially overload power consumption, high probability of blockage, and dynamic propagation environment. Fortunately, the recent technology reconfigurable intelligent surface (RIS) is expected to be one of the most cost-efficient solutions to address such issues. RIS with low-cost elements can bypass blockages and create multiple line-of-sight (LoS) links and provide controllable communication channels. In this article, we present a comprehensive literature review on the RIS-assisted nonterrestrial networks (RANTNs). First, the framework of the RANTNs is introduced with detailed discussion about distinct properties of RIS in NTNs and the two Manuscript

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Uplink SINR Distribution of Terrestrial and Aerial Users With Power Control

Chen

Zhang

2021

IEEE Commun. Lett.

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Uplink Energy Efficiency Distribution With Aerial Users in Cellular Networks

Cited by 3 publications

References 9 publications

New Trends in Stochastic Geometry for Wireless Networks: A Tutorial and Survey

New Trends in Stochastic Geometry for Wireless Networks: A Tutorial and Survey

Nonterrestrial Communications Assisted by Reconfigurable Intelligent Surfaces

Uplink SINR Distribution of Terrestrial and Aerial Users With Power Control

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