Impact of sensing errors on the performance of an unreliable opportunistic spectrum sharing system

Opportunistic Spectrum Sharing OSS is a promising solution for efficient spectrum utilisation. In this paper, we analytically model an unreliable OSS system and investigate the impact of sensing errors on the system performance. The OSS system consists of primary users and secondary users that share a number of channels over a coverage area. Both initiating secondary users and ongoing secondary users sense the channels and perform appropriate activities. A buffer is introduced to temporarily hold the call of an ongoing secondary user when there is no channel available upon the call arrival of a primary user. In unreliable sensing, the sensing errors from either initiating or ongoing secondary users cause false alarm and misdetection events, which may impose different impacts on both types of users. We present the analytic solutions for the OSS system and provide numerical results for validation. The proposed modelling method is expected to be used for design and performance evaluation of future OSS networks.

[1]  Hang Su,et al.  Opportunistic Spectrum Sharing Schemes for CDMA-Based Uplink MAC in Cognitive Radio Networks , 2011, IEEE Journal on Selected Areas in Communications.

[2]  Wei Zhang,et al.  Opportunistic spectrum sharing in cognitive MIMO wireless networks , 2009, IEEE Transactions on Wireless Communications.

[3]  K. J. Ray Liu,et al.  Joint Design of Spectrum Sensing and Channel Access in Cognitive Radio Networks , 2011, IEEE Transactions on Wireless Communications.

[4]  Yunzhou Li,et al.  Optimal linear precoding for opportunistic spectrum sharing under arbitrary input distributions assumption , 2013, EURASIP J. Adv. Signal Process..

[5]  Mao Yang,et al.  Opportunistic spectrum sharing in software defined wireless network , 2014 .

[6]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[7]  Wei Li,et al.  An adaptive bandwidth allocation scheme with preemptive priority for integrated voice/data mobile networks , 2006 .

[8]  Shensheng Tang A general model of opportunistic spectrum sharing with unreliable sensing , 2014, Int. J. Commun. Syst..

[9]  Harry L. Van Trees,et al.  Detection, Estimation, and Modulation Theory, Part I , 1968 .

[10]  Yi Xie,et al.  Performance Analysis of Unreliable Sensing for an Opportunistic Spectrum Sharing System , 2011, Int. J. Commun. Networks Inf. Secur..

[11]  Wei Zhang,et al.  Relay assisted spectrum sharing in cognitive radio networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[12]  Kang G. Shin,et al.  In-band spectrum sensing in cognitive radio networks: energy detection or feature detection? , 2008, MobiCom '08.

[13]  Brian L. Mark,et al.  Modeling and analysis of opportunistic spectrum sharing with unreliable spectrum sensing , 2009, IEEE Transactions on Wireless Communications.

[14]  Yunfei Chen,et al.  Effect of Spectrum Sensing Errors on the Performance of OFDM-Based Cognitive Radio Transmission , 2012, IEEE Transactions on Wireless Communications.

[15]  S Maleki,et al.  Energy-Efficient Distributed Spectrum Sensing for Cognitive Sensor Networks , 2011, IEEE Sensors Journal.

[16]  Haythem Bany Salameh,et al.  Throughput-oriented channel assignment for opportunistic spectrum access networks , 2011, Math. Comput. Model..

[17]  Xiaojiang Du,et al.  Cognitive femtocell networks: an opportunistic spectrum access for future indoor wireless coverage , 2013, IEEE Wireless Communications.