Modeling and analysis of millimeter-wave cellular networks using poisson cluster processes

Yang, Lihua1; Zhao, Junhui1,2; Gao, Feifei3; Gong, Yi4

10.1109/APCC.2018.8633578

2018

2163-0771

978-1-5386-6929-7

24th Asia-Pacific Conference on Communications, APCC 2018

113-118

12-14 Nov. 2018

Ningbo, China

Institute of Electrical and Electronics Engineers Inc.

To compensate the imprecise modeling method using a Poisson point process (PPP) in a cellular network, especially in urban areas, we adopt a more suitable modeling method using a Poisson cluster process (PCP) and analyze the coverage probability of millimeter-wave (mmWave) cellular networks. We apply a distribution function of the shortest distance between the typical user and its serving base station (BS) to derive the probability density function (PDF) of the distance. Then, accurate formulas for the Laplace transform of interference are derived under Rayleigh fading and lognormal fading. Furthermore, we compute the expressions of signal to interference-plus-noise ratio (SINR) and rate coverage probability under these two fading, respectively. Our analysis and simulations show that the PCP-based modeling method of mmWave networks outperforms the PPP scheme in terms of coverage probabilities in low SINR threshold, high SINR threshold and high rate threshold. The results also confirm the accuracy of the formulas derived in this paper and guide the deployment of the mmWave cellular networks.
© 2018 IEEE.

Interference Signal to noise ratio Rayleigh channels Analytical models Cellular networks Downlink

其他

EI

Beijing Jiaotong University[] ; Shenzhen Technology Development Program[] ; State Key Laboratory of Rail Traffic Control and Safety[RCS2017K009] ; Dream Project of Ministry of Science and Technology of the People's Republic of China[2016ZX03001014-006] ; Southeast University[2017D14] ; National Natural Science Foundation of China[61661021]

20191106634666

Distribution functions ; Internet protocols ; Laplace transforms ; Mobile telecommunication systems ; Probability density function ; Probability distributions ; Rayleigh fading ; Signal interference ; Signal to noise ratio ; Wireless networks

Electromagnetic Waves:711 ; Information Theory and Signal Processing:716.1 ; Radio Systems and Equipment:716.3 ; Computer Software, Data Handling and Applications:723 ; Mathematical Transformations:921.3 ; Probability Theory:922.1

EV Compendex

1.School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing; 100044, China
2.School of Information Engineering, East China Jiaotong University, Nanchang; 330013, China
3.Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing; 100062, China
4.Department of Electrical and Electronic Engineering, Southern University of Science and Technology of China, Shenzhen; 518055, China

Yang, Lihua,Zhao, Junhui,Gao, Feifei,et al. Modeling and analysis of millimeter-wave cellular networks using poisson cluster processes[C]:Institute of Electrical and Electronics Engineers Inc.,2018:113-118.