Outage Probability Analysis for D2D-Enabled Heterogeneous Cellular Networks with Exclusion Zone: A Stochastic Geometry Approach
Yulei Wang, Feng Li, Shumin Yao, Hong Liang, Haoxu Shi, Yuqiang Chen
Abstract
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Yulei Wang, Feng Li, Shumin Yao, Hong Liang, Haoxu Shi, Yuqiang Chen
Abstract
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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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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.
Key concepts: Stochastic geometry, Cellular network, Randomness, Computer science, Interference (communication), Base station, Stochastic geometry models of wireless networks, Coverage probability