Stochastic Geometric Modeling and Analysis of Non-Uniform Two-Tier Networks: A Stienen’s Model-Based Approach

Hernandez-Aquino, Raul; Zaidi, Syed Ali Raza; Ghogho, Mounir; McLernon, Des; Swami, Ananthram

doi:10.1109/twc.2017.2682844

Cited by 17 publications

(11 citation statements)

References 25 publications

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“…11 To overcome the issues described above, we propose the use of Stienen's model, where sBS deployment inside the Stienen's cell is avoided to further enhance edge user coverage and reduce network interference. 12,13 Furthermore, we consider the employment of RFA scheme together with the Stienen's model to abate inter-tier and intra-tier interferences and further enhance network performance gain.…”

Section: Motivationmentioning

confidence: 99%

“…In other words, complete coverage region of mBS is the composition of Stienen's cell and its complementary area. 13 Such division of coverage region allows us to model different deployment densities in these two regions. Similarly, it can be noted that the exclusion area with random radii around the mBS is closer to the realistic network layout.…”

Section: Stienen's Modelmentioning

confidence: 99%

“…Similarly, it can be noted that the exclusion area with random radii around the mBS is closer to the realistic network layout. 13 Due to irregular distances of cell edges from mBS, it is not appropriate to use fixed size Stienen's cell and then deploy sBSs outside the exclusion disc. 13 Furthermore, the exclusion region around mBS in Stienen's model deployment is a function of the size of each Voronoi cell.…”

Section: Stienen's Modelmentioning

confidence: 99%

“…13 Due to irregular distances of cell edges from mBS, it is not appropriate to use fixed size Stienen's cell and then deploy sBSs outside the exclusion disc. 13 Furthermore, the exclusion region around mBS in Stienen's model deployment is a function of the size of each Voronoi cell. Stienen's model is, therefore, a more realistic approach to mock such irregular edge distances of a cell.…”

Section: Stienen's Modelmentioning

confidence: 99%

See 3 more Smart Citations

Coverage analysis of cell‐edge users in heterogeneous wireless networks using Stienen's model and RFA scheme

Haroon

Abbas

Muhammad

et al. 2019

Int J Communication

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In heterogeneous wireless networks, signal-to-interference-plus-noise ratio (SINR) suffers degradation due to strong interference received by users from offloaded macro base station (mBS). Similarly, cell-edge users experience low SINR due to their distant locations. Moreover, small base stations (sBSs) located in the vicinity of mBS experience reduced coverage due to the high transmit power of mBS. To overcome these limitations, we use Stienen's model as a base station deployment strategy to improve network performance gain. More specifically, we use reverse frequency allocation (RFA) as an interference management scheme together with Stienen's model to significantly improve SINR, enhance edge user coverage, and avoid sBS deployment near the mBS. In the proposed set-up, the available coverage region is divided into two noncontiguous regions, ie, center region and outer region. Furthermore, mBSs are uniformly distributed throughout the coverage region using independent Poisson point processes, while sBSs are deployed only in outer region using Poisson hole process (PHP).Closed-form expressions for coverage probabilities are characterized for the proposed model. Numerical results show that the proposed scheme yields improved SINR with enhanced edge user coverage and requires fewer number of sBSs. KEYWORDS coverage probability, heterogeneous wireless networks, Poisson hole process, Poisson point processes, reverse frequency allocation, Stienen's model Int J Commun Syst. 2020;33:e4147.wileyonlinelibrary.com/journal/dac

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Section: Motivationmentioning

confidence: 99%

Section: Stienen's Modelmentioning

confidence: 99%

Section: Stienen's Modelmentioning

confidence: 99%

Section: Stienen's Modelmentioning

confidence: 99%

See 2 more Smart Citations

Coverage analysis of cell‐edge users in heterogeneous wireless networks using Stienen's model and RFA scheme

Haroon

Abbas

Muhammad

et al. 2019

Int J Communication

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show abstract

“…However, the radius of the recovery in every hole is not fixed and needs to be defined. This is a result of the variable Voronoi cell size which in fact has a Rayleigh distribution and is called a Stienen's cell radius [12], [13]. So, unlike other papers where the radius of the cluster is fixed, we will use a variable cluster radius defined by the Stienen's model.…”

Section: A Motivation and Related Workmentioning

confidence: 99%

Performance analysis of UAV enabled disaster recovery network: a stochastic geometric framework based on matern cluster processes

Hayajneh¹,

Zaidi²,

McLernon³

et al. 2017

IET 3rd International Conference on Intelligent Signal Processing (ISP 2017)

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Drones will be employed by Facebook and Google for capacity off-loading in front/back hauling scenarios utilizing drone-empowered autonomous heterogeneous networks. But in another application, drone-based, post-disaster recovery of communication networks will also be of crucial importance in the design of future smart cities. So, in order to address the design issues of these latter networks, we present (from a stochastic geometric perspective) a comprehensive statistical framework for the spatial distribution of these hybrid user-centric drone/micro cellular networks. We introduce the novel idea of using a Stenien's cell (with variable radius) to model the region over which the drones will be distributed and the drones will effectively form a Matern cluster process (MCP) across the original network space. We then employ this newly developed framework to investigate the impact of changing several parameters on the performance of the new drone small-cell clustered networks (DSCCNs) and we develop appropriate closed-form expressions that model the performance (later validated via Monte Carlo simulations).

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SIR analysis for non-uniform HetNets with joint decoupled association and interference management

Abbas

Haroon

Abbas

et al. 2020

Computer Communications

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Stochastic Geometric Modeling and Analysis of Non-Uniform Two-Tier Networks: A Stienen’s Model-Based Approach

Cited by 17 publications

References 25 publications

Coverage analysis of cell‐edge users in heterogeneous wireless networks using Stienen's model and RFA scheme

Coverage analysis of cell‐edge users in heterogeneous wireless networks using Stienen's model and RFA scheme

Performance analysis of UAV enabled disaster recovery network: a stochastic geometric framework based on matern cluster processes

SIR analysis for non-uniform HetNets with joint decoupled association and interference management

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