Priority queueing models for cognitive radio networks with traffic differentiation

Abstract

In this paper, we present a new queueing model providing the accurate average system time for packets transmitted over a cognitive radio (CR) link for multiple traffic classes with the preemptive and non-preemptive priority service disciplines. The analysis considers general packet service time, general distributions for the channel availability periods and service interruption periods, and a service-resume transmission. We further introduce and analyze two novel priority service disciplines for opportunistic spectrum access (OSA) networks which take advantage of interruptions to preempt low priority traffic at a low cost. Analytical results, in addition to simulation results to validate their accuracy, are also provided and used to illustrate the impact of different OSA network parameters on the average system time. We particularly show that, for the same average CR transmission link availability, the packet system time significantly increases in a semi-static network with long operating and interruption periods compared to an OSA network with fast alternating operating and interruption periods. We also present results indicating that, due to the presence of interruptions, priority queueing service disciplines provide a greater differentiated service in OSA networks than in traditional networks. The analytical tools presented in this paper are general and can be used to analyze the traffic metrics of most OSA networks carrying multiple classes of traffic with priority queueing service differentiation.

A separate design principle for priority-aware packet collection in industrial cyber-physical systems

“…Due to different timeliness requirements, the sensors are classified to C classes with different transmission priorities. Suppose that each class c consists of N c sensors and the sensors in class c are assigned with higher transmission priority over any class c > c. Similar to some existing studies [15,23], the data packet flows generated by each class of sensors follow independent Poisson processes with packet generating rate {λ n,c |n = 1, . .…”

“…Multiple channels are used to support parallel transmissions over multiple routing paths to reduce the end-to-end delay of packet delivery. In [23], the authors considered the multipriority multichannel access in cognitive radio environment. Similar to [15], high-priority traffics are allowed to preempt transmission chances of low-priority traffics.…”

Spatial–Temporal Queuing Theoretic Modeling of Opportunistic Multihop Wireless Networks With and Without Cooperation

“…In [11] the authors model the primary user activity as an ON-OFF alternating renewal process and used M/G/1 queuing analysis to obtain the average delay for a single secondary user in presence of primary activity. In [12] the authors use a priority queue model to analyze delay performance of a secondary user with multiple classes of traffic. In [13] the authors use M/D/1 priority queueing scheme to obtain the average delay for primary and secondary users.…”

Parallelising reception and transmission in queues of secondary users

“…The pre-emption and non-preemption priorities attracted many attentions in the previous works. In this topic, we will investigate the authors' contributions in [16][17][18]. A hybrid approach is exposed in [16], at which low priority SUs are no longer pre-empted by high priority SUs, when their number of interruptions reaches a certain threshold value.…”

“…Therefore, the authors showed that the threshold adjustment according to the performance metric provided a promising performance. In [17], the authors presented a queuing model, providing the accurate average system time, for general packets service time, and service interruption periods, with an opportunistic spectrum access (OSA) networks. They showed that, for the same average CR transmission link availability, the packet system time significantly increases in a semi-static network, with long operating and interruption periods, compared to an OSA network with fast alternating operating, and interruption periods.…”