Summary

This document covers the theory behind cellular networks, including the calculation of distances between cells, cluster areas, and cell configurations. It includes mathematical formulas and diagrams illustrating the concepts. The document is suitable for students and professionals in telecommunications, engineering or similar domains.

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Cellular networks Hexagonal cell y Dka = 2 R cos(p ) = 3R 6 R 3,2 u π/6...

Cellular networks Hexagonal cell y Dka = 2 R cos(p ) = 3R 6 R 3,2 u π/6 x Coordinate y i = n i + u i sin(p ), 6 transformation: xi = u i cos(p ) 6 Distance between two cells Distance between two points D can be expressed as: D 2 = ( x 2 - x1 ) 2 + ( y 2 - y1 ) 2 = [(n 2 - n 1 ) + (u 2 - u1 ) sin(p )] 2 6 1 3 + (u 2 - u1 ) 2 cos 2 (p ) = [(n 2 - n 1 ) + (u 2 - u1 )] 2 + (u 2 - u1 ) 2 = 6 2 4 = (u 2 - u1 ) 2 + (n 2 - n 1 ) 2 + (n 2 - n 1 )(u 2 - u1 ) In this way we can express distance from center of coordinates (when it is at the center of origin cell) to the center of any hexagon: 2 2 2 D k = (u k - 0) 2 + (n k - 0) 2 + (n k - 0)(u k - 0) = u k + n k + n k u k = = 3R 2 (i 2 + j 2 + ij ) Here coordinates u, v of the center of k-th hexagon are replaced by integer numbers i, j of distances between neighboring hexagons Clusters of cells B C B 1,1 A 1,1 C u B B A C C B A A C 1,1 B A C 1,1 1,1 A The largest group of neighboring cells that do not have overlapping cells is called a cluster. Clusters of cells Cluster area: Cell area: 2 6 Dk 3 6 3 2 3 S cl = = 3R 2 (i 2 + j 2 + ij ) SN = ( R) = 3R 2 3 4 2 3 2 2 Number of cells in a cluster: 2 2 N c = (i + j + ij ) A A Dk = R 3(i 2 + j 2 + ij ) Clusters of cells Main cluster parameters i j Nc Dk/R S/I, dB 1 0 1 1,73 0 1 1 3 3 16,1 2 0 4 3,46 16,8 2 1 7 4,58 18,7 3 0 9 5,2 19,6 2 2 12 6 20,7 3 1 13 6,24 21 Clusters i=2 j=0 of cells i=1 j=1 Nc=4 Nc=3 -Narvelis A i=2 -Narvelis B j=1 -Narvelis C Nc=7 -Narvelis D -Narvelis E -Narvelis F -Narvelis H Co-channel interference Signal to noise ration can be expressed as: S Ps = N PN + PI Here PS, PN and PI are signal, noise and interference powers, respectively. Suppose PN

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