Zobrazeno 1 - 10
of 493
pro vyhledávání: '"Haenggi, Martin"'
We derive exact expressions for the shortest path length to a point of a Poisson line Cox process (PLCP) from the typical point of the PLCP and from the typical intersection of the underlying Poisson line process (PLP), restricted to a single turn. F
Externí odkaz:
http://arxiv.org/abs/2411.16441
In wireless networks assisted by intelligent reflecting surfaces (IRSs), jointly modeling the signal received over the direct and indirect (reflected) paths is a difficult problem. In this work, we show that the network geometry (locations of serving
Externí odkaz:
http://arxiv.org/abs/2405.14976
We investigate the performance of a random access network consisting of source-destination dipoles. The source nodes transmit information packets to their destinations over a shared spectrum. All the transmitters in this network adhere to an age thre
Externí odkaz:
http://arxiv.org/abs/2306.09787
The current analysis of wireless networks whose transceivers are confined to streets is largely based on Poissonian models, such as Poisson line processes and Poisson line Cox processes. We demonstrate important scenarios where a model with a finite
Externí odkaz:
http://arxiv.org/abs/2302.05151
Autor:
Wang, Xinyun, Haenggi, Martin
Various methods have been proposed to approximate a solution to the truncated Hausdorff moment problem. In this paper, we establish a method of comparison for the performance of the approximations. Three ways of producing random moment sequences are
Externí odkaz:
http://arxiv.org/abs/2212.12622
A comprehensive vehicular network analysis requires modeling the street system and vehicle locations. Even when Poisson point processes (PPPs) are used to model the vehicle locations on each street, the analysis is barely tractable. That holds for ev
Externí odkaz:
http://arxiv.org/abs/2111.13846
Autor:
Jeyaraj, Jeya Pradha, Haenggi, Martin
Publikováno v:
in IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 171-185, Jan. 2021
We introduce a general framework for the modeling and analysis of vehicular networks by defining street systems as random 1D subsets of $\mathbb{R}^{2}$. The street system, in turn, specifies the random intensity measure of a Cox process of vehicles,
Externí odkaz:
http://arxiv.org/abs/2106.06836
The performance of wireless networks is fundamentally limited by the aggregate interference, which depends on the spatial distributions of the interferers, channel conditions, and user traffic patterns (or queueing dynamics). These factors usually ex
Externí odkaz:
http://arxiv.org/abs/2102.00588