Performance analysis of opportunistic CSMA schemes in cognitive radio networks

In this paper, we consider underlay cognitive radio (CR) networks where an amount of interference caused by secondary stations (STAs) has to be kept below a predefined level, which is called interference temperature. We propose opportunisticp-persistent carrier sense multiple access schemes for the CR networks, which opportunistically exploit wireless channel conditions in transmitting data to the secondary access point. We also devise an adaptive interference-level control technique to further improve quality-of-service of a primary network by limiting the excessive interference due to collisions among STAs. The performances of the proposed schemes are mathematically analyzed, and they are validated with extensive computer simulations. The simulation results show that the proposed schemes achieve near optimal throughput of the secondary network while they are backward-compatible to the conventional p-persistent CSMA scheme.

[1]  Bang Chul Jung,et al.  Performance analysis of an opportunistic CSMA scheme in cognitive radio networks , 2011 .

[2]  Ying-Chang Liang,et al.  Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks , 2007, IEEE Journal of Selected Topics in Signal Processing.

[3]  Dong-Ho Cho,et al.  New Cooperation-Based Channel State Acquisition Scheme for Ad Hoc Cognitive Radio Systems , 2013, IEEE Transactions on Vehicular Technology.

[4]  Qi Zhang,et al.  Cognitive radio MAC protocol for WLAN , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[6]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[7]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[8]  Wan Choi,et al.  Multi-user diversity in a spectrum sharing system , 2009, IEEE Transactions on Wireless Communications.

[9]  Javier Gozálvez,et al.  IEEE 802.11p vehicle to infrastructure communications in urban environments , 2012, IEEE Communications Magazine.

[10]  Ying-Chang Liang,et al.  Weighted sum rate optimization for cognitive radio MIMO broadcast channels , 2009, IEEE Transactions on Wireless Communications.

[11]  L. Kleinrock,et al.  Packet Switching in Radio Channels: Part I - Carrier Sense Multiple-Access Modes and Their Throughput-Delay Characteristics , 1975, IEEE Transactions on Communications.

[12]  Bang Chul Jung,et al.  A Cognitive p-Persistent CSMA Scheme for Spectrum Sharing Based Cognitive Radio Networks , 2010, 2010 IEEE Wireless Communication and Networking Conference.

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

[14]  Amir Ghasemi,et al.  Fundamental limits of spectrum-sharing in fading environments , 2007, IEEE Transactions on Wireless Communications.

[15]  Ananthram Swami,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework , 2007, IEEE Journal on Selected Areas in Communications.

[16]  Philip Constantinou,et al.  Performance Study of CSMA/CA over Spectrum Pooling Environment for Cognitive Radios , 2007 .

[17]  Randall Berry,et al.  Exploiting multiuser diversity for medium access control in wireless networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[18]  Wan Choi,et al.  Capacity and energy efficiency of multi-user spectrum sharing systems with opportunistic scheduling , 2009, IEEE Transactions on Wireless Communications.

[19]  Yan Xin,et al.  Robust cognitive beamforming with partial channel state information , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[20]  Michael Gastpar,et al.  On Capacity Under Receive and Spatial Spectrum-Sharing Constraints , 2007, IEEE Transactions on Information Theory.

[21]  Marco Conti,et al.  Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit , 2000, TNET.

[22]  John M. Cioffi,et al.  Throughput maximization by utilizing multi-user diversity in slow-fading random access channels , 2008, IEEE Transactions on Wireless Communications.

[23]  Dong-Ho Cho,et al.  Enhanced Spectrum Sensing Scheme in Cognitive Radio Systems With MIMO Antennae , 2011, IEEE Transactions on Vehicular Technology.

[24]  David Tse,et al.  Opportunistic beamforming using dumb antennas , 2002, IEEE Trans. Inf. Theory.