Interference Modeling and Performance Evaluation of Heterogeneous Cellular Networks

Mirahmadi, Maysam; Al-Dweik, Arafat; Shami, Abdallah

doi:10.1109/tcomm.2014.2320719

Cited by 36 publications

(14 citation statements)

References 21 publications

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“…Proof: Combining (33) and (34) and using (14) yield the desired result after some manipulations. Note that (39) could also be derived from (36) by setting µ = m and form (37) when κ → 0 [20].…”

Section: Propositionmentioning

confidence: 92%

“…The MGF of the SINR for Rayleigh fading, extensively adopted in the literature [1]- [10], reduces simply from (14) when m = m I = 1 as…”

Section: Unified Analysis Of the Sinr Statisticsmentioning

confidence: 99%

“…Proof: The result is a special case of (20) when m = µ. In this case, a reduction formula of the Appell's F 2 function is given in Appendix E. Alternatively, one can obtain (30) after plugging (14) into (17)…”

Section: Corollary 3 (Rice Fading)mentioning

confidence: 99%

“…Besides ignoring the line-of-sight (LOS) component in the received signal, which is prominent in outdoor cellular communications, the Rayleigh model is a single-parameter fading model that is not flexible enough to accurately represent complex indoor fading environments. The diagnosis for Rayleigh fading is even more pessimistic in future femtocells [14] where multiple LOSs may be created by reflections in close proximity to the BSs and/or users or may appear in millimeter wave (mmW) communications [15]. With Nakagami-m fading, stochastic geometry analysis necessitates for tractability an integer value for m [11], thereby limiting the applicability of the model in setup scenarios that capture practical multipath conditions.…”

Section: Introductionmentioning

confidence: 99%

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Unified Stochastic Geometry Modeling and Analysis of Cellular Networks in LOS/NLOS and Shadowed Fading

Trigui

Affes

Liang

2017

IEEE Trans. Commun.

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Statistical characterization of the signal-to-interference-plus-noise ratio (SINR) via its cumulative distribution function (CDF) is ubiquitous in a vast majority of technical contributions in the area of cellular networks since it boils down to averaging the Laplace transform of the aggregate interference, a benefit accorded at the expense of confinement to the simplistic Rayleigh fading. In this work, to capture diverse fading channels that arise in realistic outdoor/indoor wireless communication scenarios, we tackle the problem differently. By exploiting the moment generating function (MGF) of the SINR, we succeed in analytically assessing cellular networks performance over the shadowed κ-µ, κ-µ, and η-µ fading models. The latter offer high flexibility by capturing diverse fading channels including Rayleigh, Nakagami-m, Rician, and Rician shadow fading distributions. These channel models have been recently praised for their capability to accurately model dense urban environments, future femtocells, and device-to-device (D2D) shadowed channels. In addition to unifying the analysis for different channel models, this work integrates the coverage, the achievable rate, and the bit error probability (BEP) which are largely treated separately in the literature. The developed model and analysis are validated over a broad range of simulation setups and parameters.

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Section: Propositionmentioning

confidence: 92%

“…The MGF of the SINR for Rayleigh fading, extensively adopted in the literature [1]- [10], reduces simply from (14) when m = m I = 1 as…”

Section: Unified Analysis Of the Sinr Statisticsmentioning

confidence: 99%

Section: Corollary 3 (Rice Fading)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unified Stochastic Geometry Modeling and Analysis of Cellular Networks in LOS/NLOS and Shadowed Fading

Trigui

Affes

Liang

2017

IEEE Trans. Commun.

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“…In traditional cellular networks, a macro base station (MBS) is used to provide the blanket coverage. However, indoor users may suffer a low signal quality because of strong penetration loss and high path loss . One of the approaches to improving the indoor coverage is to install low‐power, low‐complexity femto base stations (FBS) .…”

Section: Introductionmentioning

confidence: 99%

A universal frequency reuse scheme in LTE‐A heterogeneous networks

Niu

et al. 2016

Wirel. Commun. Mob. Comput.

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Effective inter-cell interference mitigation has been extensively studied because of its outstanding cell-edge signal quality improvement capability. Conventional static inter-cell interference coordination strategies, including fractional frequency reuse and soft frequency reuse, have received much attention owing to their effectiveness in mitigating interference and low complexity in implementation. However, they are less effective when dealing with dense uneven traffic distributions and dynamic traffic demands and thus incur low spectrum utilization in some cells and spectrum shortage in others. This paper proposes a universal frequency reuse scheme in a two-layer Long Term Evolution-Advanced heterogeneous network to ensure good throughput for all user equipment (UE), especially UEs at cell edge. The proposed scheme allows each cell to use all the spectrum resources, limited by an orderly regulation of all sub-bands. This scheme minimizes the potential occurrence probability of inter-cell co-sub-band interference through an intra-cell sub-band resource management. Furthermore, a graph-theoretic based sub-band allocation algorithm is developed to optimize UE throughput performance, especially for the cell-edge low signal to interference noise ratio UEs. A comprehensive performance comparison among different frequency reuse schemes is conducted by considering performance metrics, including cell-edge throughput, average throughput, and signal to interference noise ratio cumulative distribution function. Simulation result shows that the universal frequency reuse scheme outperforms other two schemes significantly.

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Performance analysis of Beaulieu‐Xie fading channel with MRC diversity reception

Kaur

Yadav

2020

Trans Emerging Tel Tech

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In this work, the performance of communication system inside the densely packed small cells or femtocells with maximum ratio combining (MRC) diversity is studied. The line of sight (LOS) and the diffused power components inside the femtocells are modeled in the form of Beaulieu‐Xie fading channel and the performance metrics have been derived. The closed‐form expressions for outage probability (Pout), amount of fading (AF), and average symbol error probability (ASEP) for coherent and non‐coherent modulation schemes are derived for the said channel. Furthermore, the channel capacity analysis over different transmission policies is performed, and the corresponding results are plotted. The effect of diversity and the other fading parameters on the performance measures are demonstrated. Analytical results are supplemented with Monte‐Carlo simulations for validating the accuracy of the proposed formulations.

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Interference Modeling and Performance Evaluation of Heterogeneous Cellular Networks

Cited by 36 publications

References 21 publications

Unified Stochastic Geometry Modeling and Analysis of Cellular Networks in LOS/NLOS and Shadowed Fading

Unified Stochastic Geometry Modeling and Analysis of Cellular Networks in LOS/NLOS and Shadowed Fading

A universal frequency reuse scheme in LTE‐A heterogeneous networks

Performance analysis of Beaulieu‐Xie fading channel with MRC diversity reception

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