Stochastic geometry modeling and analysis of downlink coverage and rate in small cell network

Ouamri, Mohamed Amine

doi:10.1007/s11235-021-00770-5

Cited by 9 publications

(10 citation statements)

References 31 publications

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“…where H z is the altitude variation of the UAVs in meters, r is the distance between UE and the projection of UAV in the 2-D plane, ϕ LOS and ϕ NLOS are the additional path loss for LoS and NLoS links respectively. As in our previous work [21], the G2G propagation model is given by…”

Section: Path Lossmentioning

confidence: 99%

“…In fact, several versions of the transmitted signal reach the user, where each version was distorted in terms of amplitude, phase, and angle of arrival. In our model, Nakagami-m fading was used to model the fading channels with the shape parameter given by (N Los , 1/N Los ) and (N NLos , 1/N NLos ) for LoS and NLoS links, respectively [21]. Compared to Rayleigh fading, the Nakagami-m fading model gives a diversity order of m. Another reason, why was the Nakagami-m model suggested?…”

Section: Fadingmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and Analysis of UAV-Assisted Mobile Network with Imperfect Beam Alignment

Ouamri¹,

Alkanhel²,

Gueguen³

et al. 2023

Computers, Materials &Amp; Continua

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With the rapid development of emerging 5G and beyond (B5G), Unmanned Aerial Vehicles (UAVs) are increasingly important to improve the performance of dense cellular networks. As a conventional metric, coverage probability has been widely studied in communication systems due to the increasing density of users and complexity of the heterogeneous environment. In recent years, stochastic geometry has attracted more attention as a mathematical tool for modeling mobile network systems. In this paper, an analytical approach to the coverage probability analysis of UAV-assisted cellular networks with imperfect beam alignment has been proposed. An assumption was considered that all users are distributed according to Poisson Cluster Process (PCP) around base stations, in particular, Thomas Cluster Process (TCP). Using this model, the impact of beam alignment errors on the coverage probability was investigated. Initially, the Probability Density Function (PDF) of directional antenna gain between the user and its serving base station was obtained. Then, association probability with each tier was achieved. A tractable expression was derived for coverage probability in both Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) condition links. Numerical results demonstrated that at low UAVs altitude, beam alignment errors significantly degrade coverage performance. Moreover, for a small cluster size, alignment errors do not necessarily affect the coverage performance.

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Section: Path Lossmentioning

confidence: 99%

Section: Fadingmentioning

confidence: 99%

Modeling and Analysis of UAV-Assisted Mobile Network with Imperfect Beam Alignment

Ouamri¹,

Alkanhel²,

Gueguen³

et al. 2023

Computers, Materials &Amp; Continua

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show abstract

“…References 29 and 30 have analyzed the coverage probability of cellular network but have not considered the medium dense scenario. Mohamed Amine has analyzed the downlink coverage using stochastic 31 . Elhoushy et al have analyzed the performance of IoT in the ultra dense cellular network 32 .…”

Section: Related Workmentioning

confidence: 99%

Modeling medium dense cellular network and evaluation of probability of coverage

Vaddi

Venkatesh

Gupta

2023

Trans Emerging Tel Tech

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It is well known that cellular networks are continuously densifying at an enormous rate everywhere around the globe. Much work has been done in modeling ultra‐dense cellular (UDC) network. However, at present, there are no satisfactory models for medium dense cellular (MDC) network. Motivation of our work is to fill this gap in the literature. In particular, we propose to develop a model for the MDC network and derive the coverage probability. In this article, an optimization problem based on sparse dictionary learning (SDL) has been used to find a linear dependency between the UDC region and MDC region with respect to the base stations. A model for the MDC network is defined based on the linear dependency produced using SDL. The linear dependency allows us to define a relation connecting the distance metric between the MDC and UDC regions. Different terms in the expression for the equivalent distance metric have been identified, and the most relevant terms have been used to evaluate the coverage probability of the MDC network. Validation of our model has been done by comparing the correlation graph between the proposed model and the ideal model. Our proposed network model opens up the scope for more accurate modeling and analysis of medium‐dense cellular networks.

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“…Under this known prior condition, the algorithm can be further optimized. Do the SVD decomposition of Rnn, as shown in (8).…”

Section: 2spatial Same-frequency Suppression Algorithmmentioning

confidence: 99%

“…Inter-cell interference cancellation [4] [5] is to demodulate and decode the signals of both the current cell and the same-frequency adjacent area, and use the interference nature of the small interval to separate the respective interference signals and useful signals. Interference offset (MD-SIC) scheme [3][6] [7] effectively reduces time delay and improves error propagation, In [8] analyzes the performance index of RRM requirements from the EVM direction, and proposes the requirement for RRM from the perspective of complete analysis. Interference coordination is avoided by coordinating the edge users of adjacent cells without using the same time-frequency resources.…”

mentioning

confidence: 99%

Interference coordination algorithm based on disturbance code

chen

feng

2022

Preprint

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With the development of wireless network and the improvement of spectrum space reuse, the same-frequency interference becomes the bottleneck restricting the performance of wireless communication system, which will inevitably reduce the network performance and user service quality. Same-frequency network is an unavoidable problem in wireless communication. How to more effectively restrain or coordinate the interference of the same-frequency critical interval has become a long-term problem. Although the traditional SFR successfully coordinates the interference between the neighbors, it also fragments the use of wireless resources, increases the complexity of resource scheduling, and affects the throughput of the system. Therefore, this paper proposes a purpose of focusing on the edge users of adjacent cells; to ensure that the disturbances of the edge users of adjacent cells are orthogonal to each other and do not affect each other to resolve their own signals. In order to reduce the interference of edge users to the adjacent communication, improve the throughput and wireless resource utilization of the entire wireless communication system.

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Stochastic geometry modeling and analysis of downlink coverage and rate in small cell network

Cited by 9 publications

References 31 publications

Modeling and Analysis of UAV-Assisted Mobile Network with Imperfect Beam Alignment

Modeling and Analysis of UAV-Assisted Mobile Network with Imperfect Beam Alignment

Modeling medium dense cellular network and evaluation of probability of coverage

Interference coordination algorithm based on disturbance code

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