Coverage Probability and Average Rate of Uplink Cellular Networks Based on a 3-D Model

PAN Ziyu; ZHU Qi; LIANG Guangjun; HU Han

doi:10.1049/cje.2018.06.017

Volume 27 Issue 5

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PAN Ziyu, ZHU Qi, LIANG Guangjun, et al., “Coverage Probability and Average Rate of Uplink Cellular Networks Based on a 3-D Model,” Chinese Journal of Electronics, vol. 27, no. 5, pp. 1098-1103, 2018, doi: 10.1049/cje.2018.06.017

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PAN Ziyu, ZHU Qi, LIANG Guangjun, et al., “Coverage Probability and Average Rate of Uplink Cellular Networks Based on a 3-D Model,” Chinese Journal of Electronics, vol. 27, no. 5, pp. 1098-1103, 2018, doi: 10.1049/cje.2018.06.017

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Coverage Probability and Average Rate of Uplink Cellular Networks Based on a 3-D Model

doi: 10.1049/cje.2018.06.017

1.
The Key Wireless Lab of Jiangsu Province, School of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
2.
School of Communications Engineering, Nanjing Institute of Technology, Nanjing 211167, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61571234, No.61631020, No.61401225), National Basic Research Program of China (973 program) (No.2013CB329005) and Jiangsu Graduate Innovation Project (No.KYLX15 0830).

More Information

Corresponding author: ZHU Qi (corresponding author) was born in Suzhou, Jiangsu, China, in 1965. She received the M.S. degree in radio engineering from Nanjing University of Posts and Telecommunications in 1989. Now she is a professor in the Department of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Jiangsu, China. Her research interests focus on technology of next generation communication, broadband wireless access, OFDM, channel and source coding, dynamic allocation of radio resources. (Email:zhuqi@njupt.edu.cn)
Received Date: 2016-03-25
Rev Recd Date: 2017-07-10
Publish Date: 2018-09-10

Abstract

Abstract

Uplink cellular networks are usually modeled using simple Wyner-type cellular models where interference is simplified as a single random variable, or via 2-D Poisson point process (PPP) theory, with mobile users either scattered randomly or placed deterministically. These models are insufficient to evaluate performance in dense urban environments where a large number of small cells are installed. We take a fresh look at this problem using tools from 3-D PPP, and we develop a new general model based on 3-D space for uplink cellular networks. The main idea is modeling mobile users and small cells as two separate spatial PPPs. Under general assumptions, the uplink coverage probability can be easily evaluated through fast integral calculation. We compare our model to the traditional 2-D model and actual mobile user/small cell deployment, and we observe that the proposed model is more accurate and provides a closer bound of coverage probability.
- Uplink cellular networks,
- Coverage probability,
- Poisson point process,
- 3-D space

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References(11)

References

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