Impact of Primary User Traffic on Adaptive Transmission for Cognitive Radio with Partial Relay Selection

In a cognitive relay system, the secondary user is permitted to transmit data via a relay when licensed frequency bands are detected to be free. Previous studies mainly focus on reducing or limiting the interference of the secondary transmission to the primary users. On the other hand, however, the primary user traffic also affects the data transmission performance of the secondary users. In this paper, we mainly investigate the impact of the primary user traffic on the bit error rate (BER) of the secondary transmission, when the secondary user adopts adaptive transmission with a partially selected relay. In addition, the average collision time and the average collision probability have been used to measure the interference level caused by the secondary transmission to the primary users. Based on some selected numerical results, we can see that the primary user traffic seriously degrades the average BER. The worse-link partial selection can perform almost as well as the global selection when the channel conditions of the source-relay links and the relay-destination links are quite different. Although the relay selection improves the spectral efficiency of the secondary transmission, numerical results show that it only has slight impact on the overall average BER, which implies that the robustness of the system will not be affected by the relay selection.

[1]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[2]  Chintha Tellambura,et al.  Performance Analysis of Partial Relay Selection With Feedback Delay , 2010, IEEE Signal Processing Letters.

[3]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[4]  Mazen O. Hasna,et al.  End-to-end performance of transmission systems with relays over Rayleigh-fading channels , 2003, IEEE Trans. Wirel. Commun..

[5]  Ying-Chang Liang,et al.  Joint power control and beamforming for cognitive radio networks , 2008, IEEE Transactions on Wireless Communications.

[6]  Jeffrey G. Andrews,et al.  Outage Probability of Cognitive Relay Networks with Interference Constraints , 2011, IEEE Transactions on Wireless Communications.

[7]  S. Aissa,et al.  End-to-end performance of dual-hop semi-blind relaying systems with partial relay selection , 2009, IEEE Transactions on Wireless Communications.

[8]  Alireza Attar,et al.  Limiting harmful interference to the primary users through joint power allocation and beamforming in the uplink of cognitive radio networks , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  M. Naeem,et al.  An Efficient Multiple Relay Selection Scheme for Cognitive Radio Systems , 2010, 2010 IEEE International Conference on Communications Workshops.

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

[11]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[12]  Zhi Ding,et al.  Opportunistic spectrum access in cognitive radio networks , 2008, IJCNN.

[13]  Weifeng Su,et al.  Active Cooperation Between Primary Users and Cognitive Radio Users in Heterogeneous Ad-Hoc Networks , 2012, IEEE Transactions on Signal Processing.

[14]  M. Nakagami The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading , 1960 .

[15]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[16]  A. Goldsmith,et al.  Variable-rate variable-power MQAM for fading channels , 1996, Proceedings of Vehicular Technology Conference - VTC.

[17]  John S. Thompson,et al.  Amplify-and-forward with partial relay selection , 2008, IEEE Communications Letters.

[18]  G. David Forney,et al.  Efficient Modulation for Band-Limited Channels , 1984, IEEE J. Sel. Areas Commun..

[19]  Mohamed-Slim Alouini,et al.  Outage performance of Decode-and-Forward partial selection in Nakagami-m fading channels , 2010, 2010 17th International Conference on Telecommunications.

[20]  I. Miller Probability, Random Variables, and Stochastic Processes , 1966 .

[21]  Aggelos Bletsas,et al.  A simple Cooperative diversity method based on network path selection , 2005, IEEE Journal on Selected Areas in Communications.

[22]  Mohamed-Slim Alouini,et al.  Multiuser Diversity With Adaptive Modulation in Non-Identically Distributed Nakagami Fading Environments , 2012, IEEE Transactions on Vehicular Technology.

[23]  詹凱文 Chan,et al.  在中上衰落通道中分集結合技術之二階統計特性; Second-Order Statistics for Diversity Combining Techniques in Nakagami Fading Channels , 2009 .

[24]  Wessam Ajib,et al.  A Novel Relay-Aided Transmission Scheme in Cognitive Radio Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.