Effects of directional antennas on outband D2D mmWave communications in heterogeneous networks

Chevillon, Romain; Andrieux, Guillaume; Diouris, Jean-François

doi:10.1016/j.aeue.2018.09.006

Cited by 6 publications

(14 citation statements)

References 40 publications

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“…Previous studies are modified to suit the proposed system model. The distribution of the received signal is following the Poisson process on

R^{+}

for the first and second hops, respectively, as below

Θ_{1} = \frac{1}{Y_{1}} = ({}, \frac{P_{X 1} S_{X 1}}{ℓ_{1} false| X_{1} false|}, X_{1} \in Φ_{1}),

Θ_{2} = \frac{1}{Y_{2}} = ({}, \frac{P_{X 2} S_{X 2}}{ℓ_{2} false| X_{2} false|}, X_{2} \in Φ_{2}) .

…”

Section: Heterogeneous Cellular Network Modelmentioning

confidence: 99%

“…To reduce the dependence on simulations, SINR closed form using stochastic geometry were derived. 4,11 It is concluded that the grid and Wyner models are not practicable for characterizing the SINR, thus stochastic geometry has emerged as a powerful tool to model and approximate the actual networks in terms of coverage probability and interference in cellular networks. 8 To provide insight-fullness into the operation of the network in the form of scaling laws, PPP model is applied.…”

Section: Figurementioning

confidence: 99%

“…The deployment of the cellular network is taking on a massively heterogeneous network character, since a variety of infrastructure is being deployed including macro, pico, and femto base stations (BSs), as well as fixed relay stations . Interference modeling is the main challenge in deploying heterogeneous cellular networks.…”

Section: Introductionmentioning

confidence: 99%

“…The grid model places each tier (pico, macro, and relay nodes) on a grid which ignores the spatial randomness of the nodes. The grid model is quite idealized even for single‐tier networks, and a perturbed grid model is sometimes used for macrocell locations . A random spatial model is more appropriate model than the deterministic one in characterizing the heterogeneous network.…”

Section: Introductionmentioning

confidence: 99%

“…These models are highly idealized and not tractable; hence, complex system level simulation is used to evaluate the coverage/outage probability and ergodic capacity. To reduce the dependence on simulations, SINR closed form using stochastic geometry were derived …”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Multitier heterogeneous network using stochastic geometry and factorial moment approaches

Fadoul

2019

Int J Communication

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Summary The rapid growth of small cells is driving cellular network toward randomness and heterogeneity. Usually, cellular networks are modeled by placing each tier (eg, macro, pico, and relay nodes) deterministically on a grid. In such a heterogeneous cellular network, the rational approach to characterize the base stations (BSs), user, and relay locations is by using random spatial models. When calculating the metric performances such as coverage probability, these networks are idealized without consideration of interference. Therefore, interference modeling remains the key issue for the deployment of small cells. This paper developed a single and multitier cellular network model that captures the downlink heterogeneous cellular network with variable parameters such as the target signal‐to‐interference ratio (SIR), transmitted power, and deployment density. In particular, we model scriptK‐tier transmission and compare it with a single‐tier and traditional grid model to obtain tractable coverage probability using stochastic geometry and factorial moment. The obtained results demonstrate the effectiveness and analytical tractability to study the heterogeneous performance.

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“…Previous studies are modified to suit the proposed system model. The distribution of the received signal is following the Poisson process on