TY - GEN
T1 - Nonuniform SINR+Voroni diagrams are effectively uniform
AU - Kantor, Erez
AU - Lotker, Zvi
AU - Parter, Merav
AU - Peleg, David
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2015.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - This paper concerns the behavior of an SINR diagram of wireless systems, composed of a set S of n stations embedded in ℝd, when restricted to the corresponding Voronoi diagram imposed on S. The diagram obtained by restricting the SINR zones to their corresponding Voronoi cells is referred to hereafter as an SINR+Voronoi diagram. While uniform SINR diagrams (where all stations transmit with the same power) are simple and nicely structured (e.g., the station reception zones are convex and “fat”) [3], nonuniform SINR diagrams might be complex (e.g., the reception zones might be fractured and their boundaries might contain many singular points) [9]. In this paper, we establish the (perhaps surprising) fact that a nonuniform SINR+Voronoi diagram is topologically almost as nice as a uniform SINR diagram. In particular, it is convex and effectively (In the sense that its fatness measure does not depend on the number of stations n but only on parameters typically bounded by a constant.) fat. This holds for every power assignment, every path-loss parameter α and every dimension d ≥ 1. The convexity property also holds for every SINR threshold β > 0, and the effective fatness holds for any β > 1. These fundamental properties provide a theoretical justification to engineering practices basing zonal tessellations on the Voronoi diagram, and helps to explain the soundness and efficacy of such practices. We also consider two algorithmic applications. The first concerns the Power Control with Voronoi Diagram (PCVD) problem, where given n stations embedded in some polygon P, it is required to find the power assignment that optimizes the SINR threshold of the transmission station si for any given reception point p ∈ P in its Voronoi cell Vor(si). The second application is approximate point location; we show that for SINR+Voronoi zones, this task can be solved considerably more efficiently than in the general non-uniform case.
AB - This paper concerns the behavior of an SINR diagram of wireless systems, composed of a set S of n stations embedded in ℝd, when restricted to the corresponding Voronoi diagram imposed on S. The diagram obtained by restricting the SINR zones to their corresponding Voronoi cells is referred to hereafter as an SINR+Voronoi diagram. While uniform SINR diagrams (where all stations transmit with the same power) are simple and nicely structured (e.g., the station reception zones are convex and “fat”) [3], nonuniform SINR diagrams might be complex (e.g., the reception zones might be fractured and their boundaries might contain many singular points) [9]. In this paper, we establish the (perhaps surprising) fact that a nonuniform SINR+Voronoi diagram is topologically almost as nice as a uniform SINR diagram. In particular, it is convex and effectively (In the sense that its fatness measure does not depend on the number of stations n but only on parameters typically bounded by a constant.) fat. This holds for every power assignment, every path-loss parameter α and every dimension d ≥ 1. The convexity property also holds for every SINR threshold β > 0, and the effective fatness holds for any β > 1. These fundamental properties provide a theoretical justification to engineering practices basing zonal tessellations on the Voronoi diagram, and helps to explain the soundness and efficacy of such practices. We also consider two algorithmic applications. The first concerns the Power Control with Voronoi Diagram (PCVD) problem, where given n stations embedded in some polygon P, it is required to find the power assignment that optimizes the SINR threshold of the transmission station si for any given reception point p ∈ P in its Voronoi cell Vor(si). The second application is approximate point location; we show that for SINR+Voronoi zones, this task can be solved considerably more efficiently than in the general non-uniform case.
UR - http://www.scopus.com/inward/record.url?scp=84946092979&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-48653-5_39
DO - 10.1007/978-3-662-48653-5_39
M3 - Conference contribution
AN - SCOPUS:84946092979
SN - 9783662486528
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 558
EP - 601
BT - Distributed Computing - 29th International Symposium, DISC 2015, Proceedings
A2 - Moses, Yoram
PB - Springer Verlag
T2 - 29th International Symposium on Distributed Computing, DISC 2015
Y2 - 7 October 2015 through 9 October 2015
ER -