### Resumé

Originalsprog | Engelsk |
---|---|

Titel | IEEE Global Communications Conference (Globecom) |

Antal sider | 6 |

Forlag | IEEE |

Publikationsdato | 21 feb. 2019 |

Artikelnummer | 8647817 |

ISBN (Trykt) | 978-1-5386-4728-8 |

ISBN (Elektronisk) | 978-1-5386-4727-1 |

DOI | |

Status | Udgivet - 21 feb. 2019 |

Begivenhed | IEEE Global Communications Conference - Abu Dhabi, United Arab Emirates Varighed: 9 dec. 2018 → 13 dec. 2018 http://globecom2018.ieee-globecom.org/ |

### Konference

Konference | IEEE Global Communications Conference |
---|---|

Land | United Arab Emirates |

By | Abu Dhabi |

Periode | 09/12/2018 → 13/12/2018 |

Internetadresse |

Navn | IEEE Global Communications Conference (GLOBECOM) |
---|---|

ISSN | 1930-529X |

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### Emneord

### Citer dette

*IEEE Global Communications Conference (Globecom)*[8647817] IEEE. IEEE Global Communications Conference (GLOBECOM) https://doi.org/10.1109/GLOCOM.2018.8647817

}

*IEEE Global Communications Conference (Globecom).*, 8647817, IEEE, IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 09/12/2018. https://doi.org/10.1109/GLOCOM.2018.8647817

**Entropy Rate of Time-Varying Wireless Networks.** / Cika, Arta; Badiu, Mihai Alin; Coon, Justin P.; Etemadi Tajbakhsh, Shahriar.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Entropy Rate of Time-Varying Wireless Networks

AU - Cika, Arta

AU - Badiu, Mihai Alin

AU - Coon, Justin P.

AU - Etemadi Tajbakhsh, Shahriar

PY - 2019/2/21

Y1 - 2019/2/21

N2 - 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.

AB - 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.

KW - Entropy rate

KW - graph entropy

KW - network topology

KW - random geometric graphs

UR - http://www.scopus.com/inward/record.url?scp=85063510025&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2018.8647817

DO - 10.1109/GLOCOM.2018.8647817

M3 - Article in proceeding

SN - 978-1-5386-4728-8

BT - IEEE Global Communications Conference (Globecom)

PB - IEEE

ER -