On Optimal Orchestration of Virtualized Cellular Networks With Downlink Rate Coverage Probability Constraints

2020 ◽  
Vol 19 (7) ◽  
pp. 4378-4393
Author(s):  
Shubhajeet Chatterjee ◽  
Mohammad J. Abdel-Rahman ◽  
Allen B. MacKenzie
Keyword(s):  
Cellular Networks ◽  
Coverage Probability ◽  
Probability Constraints

Strict Frequency Reuse Algorithm in Downlink 3GPP Random Cellular Networks

2019 ◽  
Vol 9 (3) ◽  
pp. 404-413
Author(s):  
Sinh C. Lam ◽  
Kieu T. Nguyen
Keyword(s):  
Cellular Networks ◽  
Coverage Probability ◽  
Rayleigh Fading ◽  
Analytical Approach ◽  
Frequency Reuse ◽  
Network Modelling ◽  
Cell Edge ◽  
Term Evolution ◽  
Establishment Phase

Background & Objective: In this work, we introduced a mathematical network model which follows on the recommendations of 3GPP to evaluate the downlink Long Term Evolution (LTE) network utilizing Strict Frequency Reuse (FR) scheme. The network modelling bases on the establishment phase and communications of the FR scheme. The user average coverage probability is derived and analysed under Rayleigh fading environment and furthermore the closed-form formulations of the performance are found using Gauss Quadratures. Through the Monte Carlo simulation, it is proved that the proposed analytical approach is more accurate than other approaches in the literature. Conclusion: Furthermore, this paper stated that the overall system can achieve the better performance with a higher number of Cell-Edge Users (CEUs), which contrasts with other works in the literature.

scholarly journals DBmmWave: Chance-Constrained Joint AP Deployment and Beam Steering in mmWave Networks With Coverage Probability Constraints

2019 ◽  
Vol 1 (4) ◽  
pp. 151-155
Author(s):  
Mohammad J. Abdel-Rahman ◽  
Fatimah Al-Ogaili ◽  
Mustafa A. Kishk ◽  
Allen B. Mackenzie ◽  
Paschalis C. Sofotasios ◽  
...  
Keyword(s):  
Coverage Probability ◽  
Beam Steering ◽  
Probability Constraints

scholarly journals Cellular coverage probability is independent of base station density under stochastic geometric models

2021 ◽  
Author(s):  
Hamed Nassar ◽  
Gehad Taher ◽  
El-Sayed El-Hady
Keyword(s):  
Cellular Networks ◽  
Coverage Probability ◽  
Base Station ◽  
Base Stations ◽  
Geometric Modelling ◽  
Geometric Models ◽  
Widespread Belief ◽  
Station Density

We prove that under stochastic geometric modelling of cellular networks, the coverage probability is <i>not</i> a function of base stations density, contrary to widespread belief. That is, we reveal that the base station density, $\lambda$, that is appears in a plethora of published cellular coverage probability expressions is superfluous.<br>

scholarly journals Cellular coverage probability is independent of base station density under stochastic geometric models

2021 ◽  
Author(s):  
Hamed Nassar ◽  
Gehad Taher ◽  
El-Sayed El-Hady
Keyword(s):  
Cellular Networks ◽  
Coverage Probability ◽  
Base Station ◽  
Base Stations ◽  
Geometric Modelling ◽  
Geometric Models ◽  
Widespread Belief ◽  
Station Density

We prove that under stochastic geometric modelling of cellular networks, the coverage probability is <i>not</i> a function of base stations density, contrary to widespread belief. That is, we reveal that the base station density, $\lambda$, that is appears in a plethora of published cellular coverage probability expressions is superfluous.<br>

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