DocumentCode
1881805
Title
Modem link-property advertisements
Author
Ivancic, William D. ; Floreani, Daniel ; Wood, Lloyd ; Shell, Dan ; Asati, Rajiv
Author_Institution
Glenn Res. Center, NASA, Cleveland, OH, USA
fYear
2012
fDate
3-10 March 2012
Firstpage
1
Lastpage
7
Abstract
Devices and associated applications are increasingly connected to a variety of smart modems that have dynamically varying link characteristics. For example, incoming and outgoing link rates can be varied over time with adaptive coding and modulation to suit the channel characteristics. In addition, those links may go up and down due to a variety of factors. The link rate and conditions offered by the modem to connected devices and associated applications therefore vary. In order to autonomously condition traffic and allow the network to get the most out of the modem´s link capacity, the upstream devices and applications need to be informed of the modem´s link conditions. This becomes a form of cognitive networking. This paper will discuss the problem and present a simple protocol that can be used to provide upstream devices and applications with downstream link conditions. While the protocol in this document is described in the context of modem radio-frequency link properties, it can also be broadly applied to other scenarios such as cryptographic devices.
Keywords
adaptive codes; adaptive modulation; cognitive radio; modems; modulation coding; protocols; telecommunication traffic; wireless channels; adaptive coding and modulation; autonomously condition traffic; channel characteristics; cognitive networking; cryptographic devices; downstream link conditions; dynamically varying link characteristics; link rate; modem link capacity; modem link-property advertisements; modem radiofrequency link properties; outgoing link rates; protocol; smart modems; upstream devices; Cryptography; HTML; Internet; Modems; Quality of service; Routing protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2012 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
978-1-4577-0556-4
Type
conf
DOI
10.1109/AERO.2012.6187146
Filename
6187146
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