Soft Admission Control Research Articles

FQAC: a soft admission control scheme for high quality video delivery over cognitive radio wireless networks

Video transmission over error-prone cognitive radio wireless networks is a challenging task. In much of the traditional tight admission control algorithms for video cognitive users (CUs) in cognitive networks, CUs are admitted sequentially based on the strict quality of service and interference constraints imposed on the cognitive and primary users respectively. The sequential admittance of CUs may impose some form of the queuing delay for time-sensitive CUs which may be unacceptable. On the other hand, traditional admission control schemes do not consider the quality of experience of video users for admitting newly incoming ones. For addressing these issues and obtaining a more flexible quality-centric admission control policy by which the admission system can admit eligible cognitive users in parallel, and to cope with uncertainties in the acceptable levels of the video quality for different CUs (which may use different softwares/hardwares with different capabilities) and interference levels imposed on the primary users, a soft admission control (SAC) technique (named FQAC) is proposed by which the admission probability level for the parallel CUs can intelligently be controlled based on some linguistic input variables. Numerical analysis has been performed to validate the efficiency of the proposed quality-centric SAC mechanism in sparse and dense networking scenarios.

A fuzzy admission control scheme for high quality video delivery over underlay cognitive radio

In much of the traditional tight admission control algorithms for video cognitive users in cognitive networks, cognitive users are admitted sequentially based on the strict quality of service and interference constraints imposed on the cognitive and primary users respectively. The sequential admittance of cognitive users may impose some form of the queuing delay for time-sensitive cognitive users which may be unacceptable. On the other hand, traditional admission control schemes do not consider the quality of experience (QoE) of video users for admitting newly incoming ones. For addressing these issues and obtaining a more flexible quality-centric admission control policy by which the admission system can admit eligible cognitive users in parallel, and to cope with uncertainties in the acceptable levels of the video quality for different cognitive users (which may use different software/hardware with different capabilities) and interference levels imposed on the primary users, a soft admission control (SAC) technique (named FQAC) is proposed by which the admission probability level for the parallel cognitive users can intelligently be controlled based on some linguistic input variables. Numerical analysis has been performed to validate the efficiency of the proposed quality-aware SAC mechanism.

Quality‐centric soft admission control for video delivery over cognitive radio networks

PurposeThe main purpose of the current work is high quality video transmission over cognitive radio wireless networks.Design/methodology/approachA soft computing technique based on fuzzy logic concept is introduced that can reduce the blocking probability and increase the perceived quality of video users.FindingsIt is found that by using soft computing techniques it is possible to increase the perceived quality and reduce the blocking probability in cognitive radio networks for secondary video users.Originality/valueThe main originality of this paper is twofold: at first the design philosophy in admission is quality of experience centric and second, soft computing techniques are used to decrease the blocking probability in cognitive networks.