Publications in Scientific Journals:
M. K. Müller, M. Taranetz, M. Rupp:
"Analyzing Wireless Indoor Communications by Blockage Models";
The performance of wireless cellular networks in indoor scenarios is in large parts characterized by the blockage objects such as walls. These objects can be included in the system model in several ways. We present in this paper different wall generation methods, ranging from approaches from random shape theory (in 1-D and 2-D) to semi-deterministic and heuristic approaches. To attain comparable results, we ensure that the average wall volume for each method is constant. This results in the same average attenuation for distinct paths, which is shown analytically as well as by simulations. We apply regular transmitter grid, show the inﬂuence of the relative orientation between walls and transmitter-receiver path and also elaborate on the inﬂuence of interferers in different tiers around the desired transmitter. Based on the average attenuation, we introduce the necessary approximations to yield tractable expressions for average performance in terms of Signal-to-Interference Ratio (SIR). These approximations are necessary to reﬂect the ﬂuctuations among the instantaneous SIR values for the individual realizations of the blockage scenario and also due to the spatial correlation of blockages inﬂuencing several transmitter-signals simultaneously. Our results show a good accordance among the analytical and simulation results. Furthermore, we ﬁnd the random wall generation method in two dimensions as the worst case scenario and the regular wall generation method as best case scenario under the constraint of constant average wall volume.
Wireless communication, Indoor communication, Indoor environments, Indoor radio communica- tion, Cellular networks, Stochastic geometry, Random shape theory, Blockage modeling
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.