Workshop on Spatial Stochastic Models for Wireless Networks (SpaSWiN), Paris, France, 19th May, 2017
Call for Papers
(Click here for a PDF version of the Call for Papers.)
The performance of wireless networks depends critically on the spatial configuration of the transmitter and receiver nodes. As a result, the modeling of such networks requires methods and tools from point process theory, stochastic geometry and random graph theory. The art of modeling wireless networks is strongly multi-disciplinary, combining these spatial, stochastic tools with information and communication theory, networking theory, combinatorics, and game theory. SpaSWiN is historically the first workshop specifically devoted to the use of spatial stochastic models for improved design of wireless networks. Building on the success of the 11 previous venues of the workshop, the goal of SpaSWiN 2017 is to bring together researchers from the various disciplines involved in spatial models of wireless communications. Please join us at Télécom ParisTech in the heart of Paris on May 19, 2017.
|Martin Haenggi||University of Notre Dame , USA|
How Typical is “Typical”? Characterizing Deviations using the Meta Distribution
The slides to the talk are available here.
Most stochastic geometry-based analyses of wireless networks focus on spatial (or ensemble) averages, such as the success probability or rate of the typical link. However, in a realization of the point process describing the network, no link is typical. In most networks, it is desirable that the per-link performances are concentrated around their mean (the performance of the typical link). Hence an important question is whether the performances of most links are close to that of the typical link or whether there is a wide disparity. We present a mathematical framework based on the so-called meta distribution that permits an analysis of the per-link performance distribution, rather than just its average. The framework is applied to Poisson bipolar and cellular networks (with and without power control), and D2D communications. We show how the deviations from the typical link performance can be minimized. Lastly, we introduce and analyze the spatial outage capacity, which is the maximum density of links in a network that satisfy an outage constraint.
Martin Haenggi is the Frank M. Freimann Professor of Electrical Engineering and a Concurrent Professor of Applied and Computational Mathematics and Statistics at the University of Notre Dame, Indiana, USA. He received the Dipl.Ing. (M.Sc.) and Dr.sc.techn. (Ph.D.) degrees in electrical engineering from the Swiss Federal Institute of Technology in Zurich (ETH) in 1995 and 1999, respectively. He is a Fellow of the IEEE and the Editor-in-Chief of the IEEE Transactions on Wireless Communications. He has served on the editorial boards of 6 other journals and as a Distinguished Lecturer and Speaker for the IEEE Circuits and Systems and Communications Societies. He authored the monograph “Interference in Large Wireless Networks” (NOW Publishers, 2009), the textbook “Stochastic Geometry for Wireless Networks” (Cambridge, 2012), and published 14 single-author journal articles. He received the ETH Medal for both his M.Sc. and Ph.D. theses, the CAREER award from the U.S. National Science Foundation in 2005, and the 2010 IEEE Communications Society Best Tutorial Paper award.
|09:00-09:15||Welcome and opening remarks from the Workshop Chairs|
|17:45-18:00||Closing remarks and farewell from the Workshop Chairs|
09:00 - 09:15
SpaSWiN Welcome and opening remarks from the Workshop Chairs
09:15 - 10:15
10:15 - 10:45
10:45 - 12:30
Session 1 (Session Chair: Marco Di Renzo)
- #1 On the Performance of Practical Ultra-Dense Networks: The Major and Minor Factors
- #2 Performance Analysis of Ultra-Dense Networks with Elevated Base Stations
- #3 Beam Based Stochastic Model of the Coverage Probability in 5G Millimeter Wave Systems
- #4 Leveraging D2D Communication to Maximize the Spectral Efficiency of Massive MIMO Systems
- #5 Optimizing Mission Critical Data Dissemination in Massive IoT Networks
12:30 - 14:00
14:00 - 15:30
Session 2 (Session Chair: Marco Di Renzo)
- #1 Fundamental Limits of a Dense IoT Cell in the Uplink
- #2 Effects of Directivity on Wireless Network Complexity
- #3 Optimizing spatial throughput in device-to-device networks
- #4 Self-similarity in urban wireless networks: Hyperfractals
15:30 - 16:00
16:00 - 17:45
Session 3 (Session Chair: Marco Di Renzo)
- #1 Revisiting Frequency Reuse towards Supporting Ultra-Reliable Ubiquitous-Rate Communication
- #2 Stochastic Geometry Model for Multi-Channel Fog Radio Access Networks
- #3 Wireless Node Cooperation with Resource Availability Constraints
- #4 Coverage Analysis for Millimeter Wave Uplink Cellular Networks with Partial Zero-Forcing Receivers
- #5 Decentralized Traffic Management for Heterogeneous Networks with Opportunistic Unlicensed Spectrum Sharing
17:45 - 18:00
SpaSWiN Closing remarks and farewell from the Workshop Chairs
Submitted papers consist of 6 pages, double column, IEEE format. Follow the same formatting guidelines as the WiOpt symposium. See the Information for Authors.
All submissions will be handled by EDAS following this link. The workshop name on EDAS is SpaSWiN'17.
To guarantee publication of a SpaSWiN paper, at least one author should 1) have full registration either for the whole WiOpt event or for the workshop and 2) present the work.
WiOpt-SpaSWiN is technically co-sponsored 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, as well as on IEEE Xplore.
February 3, 2017, 23:59 CET February 19, 2017, 23:59 CET (firm)
Notification of acceptance: March 1, 2017
Camera ready/registration due: March 17, 2017, 23:59 CET
Workshop: May 19, 2017
In order to contact the workshop organisers, please write to the email address spaswin17-chairs AT edas dot info.
|Tim Brown||Carnegie Mellon University, USA|
|Marco Di Renzo||Paris-Saclay University / CNRS, France|
|Sayandev Mukherjee||Docomo Innovations, USA|
|Justin Coon (Oxford University, UK)|
|Hesham ElSawy (KAUST, Saudi Arabia)|
|Massimo Franceschetti (University of California, San Diego, USA)|
|Martin Haenggi (University of Notre Dame, USA)|
|H. Paul Keeler (Weierstrass Institute for Applied Analysis and Stochastics, Germany)|
|Olivier Lévêque (École Polytechnique Fédérale de Lausanne, Switzerland)|
|Naoto Miyoshi (Tokyo Institute of Technology, Japan)|
|Q. S. Quek (Singapore University of Technology and Design, Singapore)|
|Rahul Vaze (Tata Institute for Fundamental Research, India)|
|Syed Ali Raza Zaidi (University of Leeds, UK)|
|Wenyi Zhang (University of Science and Technology, China)|