With the increasing demands of communication and data transmission quality, traditional cellular networks containing single macrocells are gradually replaced by heterogeneous cellular networks consisting of macrocells, picocells, femtocells and relays. Stochastic point process is often used in studying base station deployment and performance analysis of heterogeneous cellular networks. The Poisson point process (PPP) is a popular one. To overcome aggregation of points in the PPP model, we introduce the Matern-like point process (MLPP), and compare it with PPP in terms of coverage probability and system efficiency. Simulation results show that MLPP has better performance with less resource, and therefore can improve system efficiency.
Taking into account that, in both PPP and MLPP, users tend to access macrocells, we introduce a bias factor to balance the load and improve the network performance.
REN Cheng-meng, ZHANG Jian-feng, WANG Cong, XIE Wei, XU You-yun
. Modeling Heterogeneous Cellular Networks Based on Matern-Like Point Process Model[J]. Journal of Applied Sciences, 2014
, 32(5)
: 486
-492
.
DOI: 10.3969/j.issn.0255-8297.2014.05.009
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