Peak to average power ratio based spatial spectrum sensing for cognitive radio systems. (October 2017)

• Record Type: Journal Article
• Authors: Iqbal, Muhammad Shahid; Hussain, Sajjad; Ghafoor, Abdul
• Is Part Of: Computers & electrical engineering. Volume 63(2017)
• Page Start: 30
• Page End: 40
• Publication Date: 2017-10
• Subjects: Spatial spectrum sensing -- Stream multiplexing -- Transmit diversity -- Peak to average power ratio; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2017.09.005
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: The recent convergence of wireless standards for incorporation of spatial dimension in wireless systems has made spatial spectrum sensing based on Peak to Average Power Ratio (PAPR) of the received signal, a promising approach. This added dimension is principally exploited for stream multiplexing, user multiplexing and spatial diversity. Considering such a wireless environment for primary users, we propose an algorithm for spectrum sensing by secondary users which are also equipped with multiple antennas. The proposed spatial spectrum sensing algorithm is based on the PAPR of the spatially received signals. Simulation results show the improved performance once the information regarding spatial diversity of the primary users is incorporated in the proposed algorithm. Moreover, through simulations a better performance is achieved by using different diversity schemes and different parameters like sensing time and scanning interval.