Bit error rate of underlay multi-hop cognitive networks in the presence of multipath fading

The bit error rate (BER) performance of underlay multi-hop cognitive networks with arbitrary number of hops in the presence of multi-path fading is thoroughly analyzed in this paper. A novel exact analytic expression under consideration of both interference power constraint and maximum transmit power constraint is derived in closed-form and is extensively corroborated by Monte-Carlo simulations. This expression facilitates in evaluating effectively the network performance behaviour in key operation parameters as well as in optimizing system parameters. A multitude of analytical results expose that underlay multi-hop cognitive networks experience the performance saturation phenomena while their performance considerably depends on the number of hops for the linear network model.

[1]  Caijun Zhong,et al.  Outage Analysis of Decode-and-Forward Cognitive Dual-Hop Systems With the Interference Constraint in Nakagami-$m$ Fading Channels , 2011, IEEE Transactions on Vehicular Technology.

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

[3]  Mohammad Ali Khojastepour,et al.  Outage minimization and optimal power control for the fading relay channel , 2004, Information Theory Workshop.

[4]  Paschalis C. Sofotasios,et al.  A Comparative Study of Relaying Schemes with Decode and Forward over Nakagami-m Fading Channels , 2011, J. Comput. Networks Commun..

[5]  Jiayin Qin,et al.  Outage Performance of Cognitive Relay Networks with Interference from Primary User , 2012, IEEE Communications Letters.

[6]  Dongweon Yoon,et al.  On the general BER expression of one- and two-dimensional amplitude modulations , 2002, IEEE Trans. Commun..

[7]  Ping Zhang,et al.  Outage Performance for Cognitive Relay Networks with Underlay Spectrum Sharing , 2011, IEEE Communications Letters.

[8]  Andrea J. Goldsmith,et al.  Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective , 2009, Proceedings of the IEEE.

[9]  Eduardo Morgado,et al.  End-to-End Average BER in Multihop Wireless Networks over Fading Channels , 2010, IEEE Transactions on Wireless Communications.

[10]  Wan Choi,et al.  On the Cooperative Diversity Gain in Underlay Cognitive Radio Systems , 2012, IEEE Transactions on Communications.

[11]  Mohamed-Slim Alouini,et al.  Performance analysis of selective cooperation in underlay cognitive networks over Rayleigh channels , 2011, 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications.

[12]  Raviraj S. Adve,et al.  Symbol error rate of selection amplify-and-forward relay systems , 2006, IEEE Communications Letters.

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

[14]  Ho Van Khuong,et al.  Symbol Error Rate of Underlay Cognitive Relay Systems over Rayleigh Fading Channel , 2012, IEICE Trans. Commun..

[15]  Ho Van Khuong.  Performance Evaluation of Underlay Cognitive Multi-hop Networks Over Nakagami-m Fading Channels , 2013, Wirel. Pers. Commun..

[16]  Xing Zhang,et al.  Exact Outage Performance of Cognitive Relay Networks with Maximum Transmit Power Limits , 2011, IEEE Communications Letters.

[17]  Masoumeh Nasiri-Kenari,et al.  Multi-Carrier Based Cooperative Cognitive Network , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[18]  Khuong Ho-Van.  Exact Outage Probability of Underlay Cognitive Cooperative Networks Over Rayleigh Fading Channels , 2013 .

[19]  Brian L. Mark,et al.  Cooperative communication with regenerative relays for cognitive radio networks , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).

[20]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .