Aggregate Interference Modeling in Cognitive Radio Networks with Power and Contention Control

Zengmao Chen, Cheng-Xiang Wang, Xuemin Hong, J.S. Thompson, S.A. Vorobyov, Xiaohu Ge, Hailin Xiao, Feng Zhao

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In this paper, we present interference models for cognitive radio (CR) networks employing various interference management mechanisms including power control, contention control or hybrid power/contention control schemes. For the first case, a power control scheme is proposed to govern the transmission power of a CR node. For the second one, a contention control scheme at the media access control (MAC) layer, based on carrier sense multiple access with collision avoidance (CSMA/CA), is proposed to coordinate the operation of CR nodes with transmission requests. The probability density functions (PDFs) of the interference received at a primary receiver from a CR network are first derived numerically for these two cases. For the hybrid case, where power and contention controls are jointly adopted by a CR node to govern its transmission, the interference is analyzed and compared with that of the first two schemes by simulations. Then, the interference PDFs under the first two control schemes are fitted by log-normal PDFs to reduce computation complexity. Moreover, the effect of a hidden primary receiver on the interference experienced at the receiver is investigated. It is demonstrated that both power and contention controls are effective approaches to alleviate the interference caused by CR networks. Some in-depth analysis of the impact of key parameters on the interference of CR networks is given as well.
Original languageUndefined/Unknown
Pages (from-to)456 -468
JournalIEEE Transactions on Communications
Issue number2
Publication statusPublished - 1 Feb 2012

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