On the modeling of a realistic wireless channel by means of a Hidden Markov Process

Author

Gómez, David ; Agüero, Ramón ; García-Arranz, Marta ; Muñoz, Luis

Author_Institution

Univ. de Cantabria, Santander, Spain

fYear

2012

fDate

8-10 Oct. 2012

Firstpage

397

Lastpage

402

Abstract

In this work we deal with the analysis of different channel models, which aim to replicate the bursty characteristic of real indoor wireless channels within a network simulation framework. In particular, we focus on the performance of Hidden Markov Processes, comparing it with other alternatives, such as the legacy models which the ns-3 network simulator implements by default and another one whose operation is based on the estimation of the received signal strength by means of an auto-regressive filter.

Keywords

autoregressive processes; filtering theory; hidden Markov models; indoor radio; wireless channels; NS-3 network simulator; autoregressive filter; hidden Markov process; indoor wireless channels; network simulation framework; realistic wireless channel modelling; received signal strength estimation; Channel models; Error analysis; Hidden Markov models; IEEE 802.11 Standards; Loss measurement; Throughput; Wireless communication; Hidden Markov Process; Wireless channel; channel memory; error bursts;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless and Mobile Computing, Networking and Communications (WiMob), 2012 IEEE 8th International Conference on

Conference_Location

Barcelona

ISSN

2160-4886

Print_ISBN

978-1-4673-1429-9

Type

conf

DOI

10.1109/WiMOB.2012.6379104

Filename

6379104