TY  - CONF
A1  - Kretschmer, Mathias
A1  - Horstmann, Thorsten
A1  - Batroff, Philipp
A1  - Rademacher, Michael
A1  - Ghinea, Gheorghita
T1  - Link calibration and property estimation in self-managed wireless back-haul networks
T2  - 18th Asia-Pacific Conference on Communications (APCC), 15-17 Oct. 2012, Jeju Island
N2  - Rural areas often lack affordable broadband Internet connectivity, mainly due to the CAPEX and especially the OPEX of traditional wireless carrier equipment, the vast and sparsely populated areas and, notably, the lack of trained personal. Addressing these issues we have developed a self-managed heterogeneous Wireless Back-Haul (WiBACK) architecture which may be deployed to complement or even replace traditional operator equipment. To optimally utilize fixed wireless point-to-point connectivity, its configuration is to be adjusted properly to the characteristics of the wireless channel. Due to lack of trained personal, time constraints during rapid temporary deployments or run-time network reconfigurations, this task must be automated. Some technologies already provide built-in ranging mechanisms, while others require external, often manual configuration. Such mechanisms should optimally exploit the individual PHY and MAC configuration options. The resulting link properties, such as capacity and latency, are utilized to optimally allocate resources for QoS-aware Pipes. Accordingly, in this paper, we present the AI Radio CalibrateLink primitive, discuss its crucial architectural role in separating spectrum from capacity management and present evaluation results of our resource model for IEEE 802.11a links.
KW  - MR-WMN
KW  - wireless back-haul
KW  - IEEE 802.11
KW  - rate adaptation
KW  - QoS
KW  - link optimization
KW  - MPLS
Y1  - 2012
UR  - https://pub.h-brs.de/frontdoor/index/index/docId/1452
SN  - 978-1-4673-4726-6
SP  - 232
EP  - 237
PB  - IEEE
ER  -