QoS optimization for multimedia transmission over cognitive radio
networks using multicarrier modulation
N.A. Saoucha
(1,2)
, K. Ghanem
(1)
, B. Benammar
(2)
(1) Centre for development of advanced technologies
(2) LTT Laboratory, University of Tlemcen,
Cognitive radio (CR), has recently emerged as a promising technology to enhance
the spectrum utilization while providing a height Quality of Service (QoS) for
users. One of the basic features of cognitive radio is the ability to adapt to a
changing RF environment. The adaptation for a cognitive radio means finding the
best transmissions parameters that enable the secondary users to communicate
with a certain QoS taking in consideration their environment and the priority of
the user’ needs. The optimization of the radio resource allocation among users has
been previously studied using genetic algorithms (GA) by scoring a subset of
objectives. In this paper, we exploit the firefly algorithm (FF) proposed in 2008 to
optimize the communication quality of secondary users in a multicarrier
multimedia application. The fitness function has been formulated as a multi-
objective problem and in the context of multimedia transmission investigated
herein; the highest weighting has been given to the data throughput. The other
investigated objectives in this problem were the minimization of bit error rate and
the minimization of power consummation. According to our best knowledge, this
approach has not been yet presented neither for the general CR case nor for the
multicarrier CR case. The performance of our algorithm is compared to the GA in
the figure below in terms of the best fitness value, where it can be seen that the
convergence rate and the value of the fitness function have been improved, which
is viable in multimedia applications.
Fig. 1 Performance comparison between GA and FF