A Framework for Packet Delay Analysis of Point-to-Multipoint Underlay Cognitive Radio Networks

• Published in: IEEE transactions on mobile computing Vol. 16; no. 9; pp. 2408 - 2421
• Main Authors: Sibomana, Louis, Zepernick, Hans-Jurgen, Hung Tran, Kabiri, Charles
• Format: Magazine Article
• Language: English
• Published: Los Alamitos IEEE 01.09.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: arrival process; Bit error rate; Cognitive radio; Cognitive radio network; delay performance analysis; Delays; Error analysis; Interference; Markov analysis; Mobile computing; Multicast; opportunistic and multicast scheduling; Packet transmission; packet transmission time; Performance evaluation; Preempting; Quality of service; Quality of service architectures; Queueing analysis; Queues; Queuing theory; Receivers; Receivers & amplifiers; Scheduling; Traffic models; Cognitive radio network; arrival process; opportunistic and multicast scheduling; delay performance analysis; packet transmission time
• ISSN: 1536-1233; 1558-0660; 1558-0660
• DOI: 10.1109/TMC.2016.2621760

This paper presents a queueing analytical framework for the performance evaluation of the secondary user (SU) packet transmission with service differentiation in a point-to-multipoint underlay cognitive radio network. The transmit power of the SU transmitter is subject to the joint outage constraint imposed by the primary user receivers (PU-Rxs) and the SU maximum transmit power limit. The analysis considers a queueing model for secondary traffic with multiple classes, and different types of arrival and service processes under a non-preemptive priority service discipline. The SU quality of service (QoS) is characterized by a packet timeout threshold and target bit error rate. Given these settings, analytical expressions of the packet timeout probability and average transmission time are derived for opportunistic and multicast scheduling. Moreover, expressions of the average packet waiting time in the queue and the total time in the system for each class of traffic are obtained. Numerical examples are provided to illustrate the secondary network performance with respect to various parameters such as number of PU-Rxs and SU receivers, SU packet arrival process, QoS requirements, and the impact of interference from the primary network to the secondary network.