Modeling of an Efficient Sensing Strategy for Real Time Video Communication over Cognitive Radio Network

Cognitive radio (CR) overcomes the spectrum congestion problem of the static spectrum access policy and considered as a future technology for upcoming Wireless Communication Standards like 5G, Internet of Media Things (IoMT), etc. CR utilizes the Dynamic Spectrum Access (DSA) technique without compromising the QoS issues of primary users (PUs). In CR network, secondary users (SUs) perform periodic spectrum sensing that reduces the effective throughput of SUs. Also, if a PU activity is detected during sensing activity, SU will remain idle up to the next sensing slot. In-between if a PU leaves the channel, the channel will remain idle till the next sensing slot which further reduces the throughput of SU. In this article, we propose a novel sensing strategy that helps to find out the additional transmission opportunity that increases the overall throughput of CRN and would be beneficial for a real-time application like video. The extensive simulation shows that the short sensing scheme outperforms the conventional sensing strategy in terms of throughput efficiency and improves the Quality of Experience (QoE) of different real-time video applications.