Channel quality index based content aware novel CAS for different video applications over CRN
Sudipta Dey, Iti Saha Misra · 2017
Cognitive Radio (CR) technology is a new dimension in wireless communications to increase spectrum utilization. In this paper, we consider the channel allocation problem for different types of video users over Cognitive Radio Network (CRN). Multiple video users can have different video contents which can perform differently over same channel conditions. So, assigning proper channel based on user's video content increases Quality of Experience (QoE) of end users. In this paper, we have proposed content aware channel allocation policy and compared the same with traditional random and uniform channel allocation policy. Analysis shows that our proposed scheme improves the QoE of different types of video users who may have different video contents like slight motion, gentle motion and rapid motion. Analysis shows that for all types of users QoE improves, however major improvement (38.7%) is observed by rapid motion type video users (who are watching football).