A Lightweight Spectrum Occupancy and Service Time Model for Centralized Cognitive Radio Networks

详细信息    查看全文

• 作者：Bakht Zaman ; Ziaul Haq Abbas ; Frank Y. Li
• 关键词：Queueing theory ; Spectrum occupancy modeling ; Variable network capacity ; Probability generating function
• 刊名：Wireless Personal Communications
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：92
• 期：4
• 页码：1675-1694
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks;
• 出版者：Springer US
• ISSN：1572-834X
• 卷排序：92

文摘

In cognitive radio networks (CRNs), secondary users (SUs) exploit the unused or sparsely used spectrum by primary users (PUs) without causing any harmful interference. Consequently, spectrum occupancy modeling appears as an essential task for CRN operations. In this paper, spectrum occupancy has been modeled using a queueing theory based approach in order to analyze the performance of CRNs in terms of network capacity, number of cognitive radio users waiting for service, and average waiting time. A compact model is presented for a CRN, where the queue adopted has variable service capacity and can be considered as a multi-service queue with server failure where each channel acts as a server. When a channel is occupied by a PU, it is regarded as a server failure for SUs. Using the probability generating function, the closed-form expressions of various performance parameters for different arrival distributions are derived. Numerical results for the remaining services for SUs, the expected number of SUs, and average waiting time as the CRN capacity, average service demands and average arrival rate vary, are illustrated.