Novel Insights into Probability of Success of Random Access Scheme in 5G Millimeter Wave Cellular Network
Autor: | Sainath Bitragunta, Shreya Tyagi, Shilpi Varshney |
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Rok vydání: | 2018 |
Předmět: |
Computer science
Monte Carlo method 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Cellular communication 0203 mechanical engineering Extremely high frequency Telecommunications link 0202 electrical engineering electronic engineering information engineering Electronic engineering Cellular network Stochastic geometry 5G Random access |
Zdroj: | ANTS |
DOI: | 10.1109/ants.2018.8710051 |
Popis: | As we progress towards the fifth generation (5G) wireless systems to meet the data rate requirements, it becomes difficult for the conventional cellular networks to provide connectivity in the uplink to a huge number of connected devices. Hence, the adoption of the millimeter wave (mmWave) technology will ease the integration of IoT devices into the 5G cellular network. In this paper, we consider a stochastic geometry model to investigate baseline Random Access scheme’s success probability in the Internet of things (IoT) that uses millimeter wave (mmWave) cellular communication technology. Specifically, to obtain novel insights, we analyze probability of success of the random access scheme in the following three scenarios: i) Success probability as a function of the signal power-to-noise ratio (SNR), ii) Success probability as a function of the signal power-to-interference ratio (SIR), and iii) Success probability in terms of signal power-to-interference plus noise ratio (SINR). Furthermore, we approximate the probability of success in LOS region using a simplified ball model for a large number of IoT devices. Using Monte Carlo simulations, the approximation of LOS-ball comes out to be sufficiently accurate with the analytical results for typical IoT intensity. |
Databáze: | OpenAIRE |
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