G. Mange, C. Rosik, S. Leveil, U. Celentano, O. Durowoju and K. Arshad, "Cognitive resource management for QoS support in mobile opportunistic communications," 2011 Future Network & Mobile Summit, Warsaw, 2011, pp. 1-9.
Cognitive resource management for QoS support in mobile opportunistic communications
|Author:||Mange, Geneviève1; Rosik, Christophe2; Leveil, Stéphanie3;|
1Alcatel-Lucent Bell Laboratories, Lorenzstrasse 10, Stuttgart, 70435, Germany
2NEC Technologies (UK) Ltd, 10, rue Godefroy, Puteaux, 92821, France
3Thales Communications, 160, boulevard de Valmy, Colombes, 92704, France
4CWC University of Oulu, 4STOCWCTS, P.O. Box 4500, Oulu, 90014, Finland
5CCSR University of Surrey, Stag Hill Campus, Guildford, GU2 7XH, United Kingdom
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201802273615
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-02-27
Optimizing the Quality of Service (QoS) support, providing seamless mobility and ensuring the protection of incumbent users are some of the challenges that arise when the radio spectrum is accessed in an opportunistic way. The functional concept of Cognitive Resource Manager (CRM) is presented providing cognition of the environment to optimize the allocation and exploitation of radio resources, to improve the access to these resources and to ensure mobility control in the opportunistic system. Requirements for the functional architecture of the CRM are identified and addressed by defining building blocks to manage cognitive access and mobility control as well as resource allocation and usage. These functional entities are described together with their interfaces inside the CRM and with other opportunistic system entities like the Spectrum Manager. Particular decision-making cases for resource control and usage are presented by means of message sequence flows taking the overall cognitive and opportunistic context into account. Finally selected algorithms for distributed power control that implement parts of the functionalities of the CRM while considering specific QoS constraints and protection of incumbent users are discussed. Results of simulations conducted for these algorithms in a dedicated scenario illustrate the performance achieved by this concept.
2011 Future Network & Mobile Summit
|Host publication editor:||
Future Network & Mobile Summit
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
The research leading to these results was derived from the European Community’s Seventh Framework Programme (FP7) under Grant Agreement number 248454 (QoSMOS).
|EU Grant Number:||
(248454) QOSMOS - Quality of Service and MObility driven cognitive radio Systems
© 2011 The Authors.