Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic Topology

In recent decades, the deployments of cellular networks have been going through an unprecedented expansion. In this regard, it is beneficial to acquire profound knowledge of cellular networks from the view of topology so that prominent network performances can be achieved by means of appropriate placements of base stations (BSs). In our researches, practical location data of BSs in eight representative cities are processed with classical algebraic geometric instruments, including $ \alpha $-Shapes, Betti numbers, and Euler characteristics. At first, the fractal nature is revealed in the BS topology from both perspectives of the Betti numbers and the Hurst coefficients. Furthermore, log-normal distribution is affirmed to provide the optimal fitness to the Euler characteristics of real BS deployments.

[1]  Min Chen,et al.  Wireless Fractal Ultra-Dense Cellular Networks , 2017, Sensors.

[2]  Luiz A. DaSilva,et al.  Modelling Multi-Operator Base Station Deployment Patterns in Cellular Networks , 2016, IEEE Transactions on Mobile Computing.

[3]  Cheng-Xiang Wang,et al.  Wireless fractal cellular networks , 2016, IEEE Wireless Communications.

[4]  Herbert Edelsbrunner,et al.  Alpha, Betti and the Megaparsec Universe: On the Topology of the Cosmic Web , 2013, Trans. Comput. Sci..

[5]  P. Widhalm,et al.  Characterization of mobile phone localization errors with OpenCellID data , 2015, 2015 4th International Conference on Advanced Logistics and Transport (ICALT).

[6]  Chao Yuan,et al.  The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless Networks , 2017, IEEE Access.

[7]  Herbert Edelsbrunner,et al.  The Topology of the Cosmic Web in Terms of Persistent Betti Numbers , 2016, 1608.04519.

[8]  Taesoo Kwon,et al.  Random multicell topology adjustment for greening cellular networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[9]  Honggang Zhang,et al.  Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics , 2018, ArXiv.

[10]  J. E. Trinidad Segovia,et al.  An accurate algorithm to calculate the Hurst exponent of self-similar processes , 2014 .

[11]  Tilmann Gneiting,et al.  Stochastic Models That Separate Fractal Dimension and the Hurst Effect , 2001, SIAM Rev..

[12]  Bruno Marcos,et al.  Self-similarity and stable clustering in a family of scale-free cosmologies , 2013, 1309.2753.