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Abstract
In this paper, we present a detailed framework to analyze the evolution of the random topology of a time-varying wireless network via the information theoretic notion of entropy rate. We consider a propagation channel varying over time with random node positions in a closed space and Rayleigh fading affecting the connections between nodes. The existence of an edge between two nodes at given locations is modeled by a Markov chain, enabling memory effects in network dynamics. We then derive a lower and an upper bound on the entropy rate of the spatiotemporal network. The entropy rate measures the shortest per-step description of the stationary stochastic process defining the state of the wireless system and depends both on the maximum Doppler shift and the path loss exponent. It characterizes the topological uncertainty of the wireless network and quantifies how quickly the underlying topology is varying with time.
Original language | English |
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Title of host publication | IEEE Global Communications Conference (Globecom) |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 21 Feb 2019 |
Article number | 8647817 |
ISBN (Print) | 978-1-5386-4728-8 |
ISBN (Electronic) | 978-1-5386-4727-1 |
DOIs | |
Publication status | Published - 21 Feb 2019 |
Event | IEEE Global Communications Conference - Abu Dhabi, United Arab Emirates Duration: 9 Dec 2018 → 13 Dec 2018 http://globecom2018.ieee-globecom.org/ |
Conference
Conference | IEEE Global Communications Conference |
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Country/Territory | United Arab Emirates |
City | Abu Dhabi |
Period | 09/12/2018 → 13/12/2018 |
Internet address |
Series | IEEE Global Communications Conference (GLOBECOM) |
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ISSN | 1930-529X |
Keywords
- Entropy rate
- graph entropy
- network topology
- random geometric graphs
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Dive into the research topics of 'Entropy Rate of Time-Varying Wireless Networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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Managing Interference in Dense Wireless Networks: An Approach Inspired by the Physics of Large Systems
Badiu, M. A.
01/03/2016 → 28/02/2018
Project: Research