Open Access

ARTICLE

Outage Probability Analysis for D2D-Enabled Heterogeneous Cellular Networks with Exclusion Zone: A Stochastic Geometry Approach

Yulei Wang¹, Li Feng^1,*, Shumin Yao^1,2, Hong Liang¹, Haoxu Shi¹, Yuqiang Chen³

1 School of Computer Science and Engineering, Macau University of Science and Technology, Taipa, Macau, China
2 Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen, China
3 School of Artificial Intelligence, Dongguan Polytechnic, Dongguan, China

* Corresponding Author: Li Feng. Email:

(This article belongs to the Special Issue: AI-Driven Intelligent Sensor Networks: Key Enabling Theories, Architectures, Modeling, and Techniques)

Computer Modeling in Engineering & Sciences 2024, 138(1), 639-661. https://doi.org/10.32604/cmes.2023.029565

Received 27 February 2023; Accepted 08 May 2023; Issue published 22 September 2023

Abstract

Interference management is one of the most important issues in the device-to-device (D2D)-enabled heterogeneous cellular networks (HetCNets) due to the coexistence of massive cellular and D2D devices in which D2D devices reuse the cellular spectrum. To alleviate the interference, an efficient interference management way is to set exclusion zones around the cellular receivers. In this paper, we adopt a stochastic geometry approach to analyze the outage probabilities of cellular and D2D users in the D2D-enabled HetCNets. The main difficulties contain three aspects: 1) how to model the location randomness of base stations, cellular and D2D users in practical networks; 2) how to capture the randomness and interrelation of cellular and D2D transmissions due to the existence of random exclusion zones; 3) how to characterize the different types of interference and their impacts on the outage probabilities of cellular and D2D users. We then run extensive Monte-Carlo simulations which manifest that our theoretical model is very accurate.

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Keywords

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