Optimal Base Station Density of Dense Network: From the Viewpoint of Interference and Load
AbstractNetwork densification is attracting increasing attention recently due to its ability to improve network capacity by spatial reuse and relieve congestion by offloading. However, excessive densification and aggressive offloading can also cause the degradation of network performance due to problems of interference and load. In this paper, with consideration of load issues, we study the optimal base station density that maximizes the throughput of the network. The expected link rate and the utilization ratio of the contention-based channel are derived as the functions of base station density using the Poisson Point Process (PPP) and Markov Chain. They reveal the rules of deployment. Based on these results, we obtain the throughput of the network and indicate the optimal deployment density under different network conditions. Extensive simulations are conducted to validate our analysis and show the substantial performance gain obtained by the proposed deployment scheme. These results can provide guidance for the network densification. View Full-Text
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Feng, J.; Feng, Z. Optimal Base Station Density of Dense Network: From the Viewpoint of Interference and Load. Sensors 2017, 17, 2077.
Feng J, Feng Z. Optimal Base Station Density of Dense Network: From the Viewpoint of Interference and Load. Sensors. 2017; 17(9):2077.Chicago/Turabian Style
Feng, Jianyuan; Feng, Zhiyong. 2017. "Optimal Base Station Density of Dense Network: From the Viewpoint of Interference and Load." Sensors 17, no. 9: 2077.
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