Performance analysis of cognitive radio networks under spectrum sharing using queuing approach

Multi-Channel Preemptive Priority Model for Spectrum Mobility in Cognitive Radio Networks

“…Therefore, the model presented in this paper is a solution to this problem. Compared with the previous works [8][9][10]12], the authors have assumed the cognitive radio networks by assuming the problem as a single channel. However, these models do not adequately overcome the need to analyze of cognitive radio networks as they have multiple channels.…”

“…It is very difficult to analyze the behavior of multi-channel of the priority queue model when channel usage by primary and secondary users [12]. Although the vast research on the analysis of priority queues with a single channel facility, efforts on the characterization of multi channel queues were not as extensive or fruitful due to their complications.…”

Dynamic Resource Allocation and Priority Based Scheduling for Heterogeneous Services in Cognitive Radio Networks

“…In a cognitive radio with intelligent antenna, a transmitter/receiver is designed to intelligently detect whether a particular segment of the radio spectrum is currently in use or not and to access (and out of, as necessary) the temporarily unused spectrum very rapidly, without interfering with the transmissions of other authorized users [14,15]. Smart Antenna (also known as adaptive array antenna, multiple antennas and MIMO) are antenna arrays with smart processing algorithm used to identify special signal signature such as the direction of arrival of the signal to track and locate the antenna beam on the target [16,17,18]. Hence determines the best signal to be obtained with high SNR and optimum power utilization.…”

Strategic behaviour for spectrum access in hybrid overlay/underlay cognitive radio networks

“…Recently, attention has been drawn to deploy the queuing models [13,14] as an effective tool in modelling the transmission in the wireless network. On the other hand, game theory has been introduced as promising tools to develop optimisation algorithms to address the spectrum access problems in the CRN [15].…”

“…In [19], the queue length is observed during the decision process through the centralised controller. While studies in [13,18,[21][22][23][24] consider an unobservable queue case, where the SU can observe the channel state through the sensing process but cannot get queue length information. In [25], the strategic behaviour of the SU is investigated using the retrial queuing system in two situations, which is SUs have no information or partially observable information.…”