The 14th Workshop on Spatial Stochastic Models for Wireless Networks (SPASWIN)
June 19, 2020
Call for Papers
The performance of wireless networks critically depends on the spatial configuration of the nodes in the network. Hence, modeling wireless networks incorporates the stochastic modeling of this spatial aspects as a key ingredient. For this purpose, tools and methods from stochastic geometry, random graph theory, information and communication theory, network theory, combinatorics and game theory are applied, rendering the topic to be highly interdisciplinary. SpaSWiN is the oldest workshop specifically devoted to stochastic spatial models of wireless networks. Building on the success of the previous venues of the workshop, the goal of SpaSWiN 2020 is to bring together researchers from the various disciplines involved and to facilitate a lively exchange of novel ideas. Please join us in Volos, Greece on June 19th, 2020 for this exciting event.
- Coverage probability in wireless networks with determinantal scheduling. Bartłomiej Błaszczyszyn, Antoine Brochard and H. Paul Keeler.
- Malware propagation in urban D2D networks. Alexander Hinsen, Benedikt Jahnel, Elie Cali and Jean-Phillippe Wary.
Talk title: Stochastic Analysis of Wireless Networks based on Vehicular Gateways
This presentation will be focused on the capacity gains obtained when using vehicles as mobile gateways to enable large-scale connectivity for the Internet of Things (IoT) like applications. Two types of delay tolerant architectures will be discussed and analyzed using techniques of stochastic geometry, queuing theory, and wireless networking.
In the single-hop architecture, at any given time, a vehicle is assumed to communicate with a device selected at random in a domain centered at the vehicle. We will both consider the case where vehicles move on roads modeled by a Poisson line process and where vehicles are Poisson point processes on these roads, respectively, and the case where vehicles are UAVs moving on planned trajectories.
The multi-hop architecture, which is referred to as mesh+vehicular, is based on mesh communications between IoT devices and short range communications between repositories located along the roads, again represented as Poisson lines, and vehicular gateways passing by, also represented as Poisson point processes on these lines.
For both architectures, we will propose system level models and evaluate their performance gains w.r.t. the conventional cellular architecture of the Euclidean plane. We will analyze the network performance by explicitly deriving the distribution of the signal-to-noise and interference ratio experienced by typical network elements. For the mesh+vehicle multi-hop architecture, we will also show that if the density of IoT devices is large and the density of repositories scales with that of IoT devices, then the proposed architecture has a capacity scaling that outperforms that of the conventional mesh+cellular architecture, with a performance gain which is polynomial in the density.
This survey presentation is based on join work with Chang Sik Choi (Qualcomm Research) and Gustavo de Veciana (UT Austin, ECE).
F. Baccelli shares his time between UT Austin and INRIA. His research directions are at the interface between Applied Mathematics and Communications. He is co-author of research monographs on point processes and queues, max plus algebras and network dynamics, stationary queuing networks, stochastic geometry and wireless networks. He received the France Télécom Prize of the French Academy of Sciences in 2002 and the ACM Sigmetrics Achievement Award in 2014. He also received the 2014 Stephen O. Rice Prize and the 2014 Leonard G. Abraham Prize Awards of the IEEE Communications Theory Society for his work on wireless network stochastic geometry. He is a member of the French Academy of Sciences. He just started an ERC project on the mathematics of communication networks.
Information for Authors
Submitted papers consist of 5-8 pages, double column, IEEE format, and is handled via the EasyChair system at https://easychair.org/conferences/?conf=spaswin2020. WiOpt is cosponsored by the IEEE Control Systems Society, IEEE Information Theory Society and IFIP; all papers will be published in the IFIP DL open library with Open Access, and on IEEE Xplore (approval from IFIP and IEEE pending).
Notification of acceptance
March 15, 2020
April 17, 2020
May 1, 2020
June 19, 2020
Technical Program Committee:
|Jeffrey Andrews||University of Texas at Austin||USA|
|Harpreet S. Dhillon||Virginia Tech||USA|
|Martin Haenggi||University of Notre Dame||USA|
|Kaibin Huang||The University of Hong Kong||Hong Kong|
|Sanket Kalamkar||INRIA Paris||France|
|Rahul Vaze||Tata Institute of Fundamental Research Mumbai||India|
(More to come)