Research Article
A proposal of adaptive traffic route control scheme in QoS provisioning for cognitive radio technology with heterogeneous wireless systems
@INPROCEEDINGS{10.1109/CROWNCOM.2009.5189120, author={Toshiaki Yamamoto and Tetsuro Ueda and Sadao Obama}, title={A proposal of adaptive traffic route control scheme in QoS provisioning for cognitive radio technology with heterogeneous wireless systems}, proceedings={4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2009}, month={8}, keywords={Component; Cognitive Radio; QoS; WiMAX; WiFi}, doi={10.1109/CROWNCOM.2009.5189120} }
- Toshiaki Yamamoto
Tetsuro Ueda
Sadao Obama
Year: 2009
A proposal of adaptive traffic route control scheme in QoS provisioning for cognitive radio technology with heterogeneous wireless systems
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2009.5189120
Abstract
As advanced integrated network architecture, ldquocognitive radio technologies,rdquo which aim to improve the spectrum efficiency, have been studied. In the cognitive radio networks, each node recognizes radio conditions, and according to them, optimizes their wireless communication routes with the integration of the heterogeneous wireless systems not only by switching over them but also aggregating and utilizing them simultaneously. The Adaptive control of switchover use and concurrent use of various wireless systems will offer a stable and flexible wireless communication. In this paper, we propose the adaptive traffic route control scheme that provides high quality of service (QoS) for cognitive radio technology, and examine the performance of the proposed scheme through the field trials and computer simulations. The experimental results of field trials show that the adaptive route control according to the radio conditions improves the user IP throughput by more than 20% and reduce the one-way delay to less than 1/6 with the concurrent use of IEEE802.16 and IEEE802.11 wireless media. Moreover, the simulation results assuming hundreds of mobile terminals reveal that the number of users that satisfy the required QoS of voice over IP (VoIP) service and the total network throughput of FTP users increase by more than twice at the same time with the proposed algorithm. The proposed adaptive traffic route control scheme can provide the cognitive radio technologies the appropriate communication qualities to meet various demands for application QoS.