Performance enhancement for underlay cognitive radio with partial relay selection methods under impact of hardware impairment

In this paper, we investigate two partial relay selection (PRS) protocols in underlay cognitive radio under impact of hardware impairment. In particular, the re-active and pro-active PRS schemes are proposed to compensate the performance loss due to the hardware noises and the interference constraints required by multiple primary users (PUs). Moreover, incremental relaying technique is also used to enhance spectrum efficiency. For performance evaluation and comparison, we drive exact and asymptotic closed-form expressions of outage probability over Rayleigh fading channel. Finally, Monte Carlo simulations are presented to verify the analytical derivations.

[1]  Emil Björnson,et al.  Two-Way Relaying Under the Presence of Relay Transceiver Hardware Impairments , 2013, IEEE Communications Letters.

[2]  Hans-Jurgen Zepernick,et al.  Exact outage probability of cognitive AF relaying with underlay spectrum sharing , 2011 .

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

[4]  Tran Trung Duy,et al.  On performance evaluation of hybrid decode-amplify-forward relaying protocol with partial relay selection in underlay cognitive networks , 2014, Journal of Communications and Networks.

[5]  Yue Gao,et al.  On the Study of Outage Performance for Cognitive Relay Networks (CRN) with the Nth Best-Relay Selection in Rayleigh-fading Channels , 2013, IEEE Wireless Communications Letters.

[6]  Tran Trung Duy,et al.  Exact outage probability of cognitive two-way relaying scheme with opportunistic relay selection under interference constraint , 2012, IET Commun..

[7]  Daniel Benevides da Costa,et al.  Performance Analysis of Partial Relay Selection in Cooperative Spectrum Sharing Systems , 2012, Wirel. Pers. Commun..

[8]  Khuong Ho-Van Cognitive relay networks with underlay spectrum sharing and channel estimation error: Interference probability and BER analysis , 2014, Journal of Communications and Networks.

[9]  Minghua Xia,et al.  Fundamental Relations Between Reactive and Proactive Relay-Selection Strategies , 2015, IEEE Communications Letters.

[10]  Daniel Benevides da Costa,et al.  Proactive Relay Selection With Joint Impact of Hardware Impairment and Co-Channel Interference , 2015, IEEE Transactions on Communications.

[11]  Tran Trung Duy,et al.  Performance Analysis of Incremental Amplify-and-Forward Relaying Protocols with Nth Best Partial Relay Selection Under Interference Constraint , 2013, Wirel. Pers. Commun..

[12]  Chintha Tellambura,et al.  On the Performance of Cognitive Underlay Multihop Networks with Imperfect Channel State Information , 2013, IEEE Transactions on Communications.

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

[14]  Emil Björnson,et al.  Hardware impairments in large-scale MISO systems: Energy efficiency, estimation, and capacity limits , 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

[15]  Tran Trung Duy,et al.  Interference investigation for cognitive spectrum sharing networks with reactive DF relay selection , 2014, 9th International Conference on Communications and Networking in China.

[16]  Gregory W. Wornell,et al.  Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks , 2003, IEEE Trans. Inf. Theory.

[17]  Ho Van Khuong Performance Analysis of Cooperative Underlay Cognitive Networks with Channel Estimation Error , 2014, Wirel. Pers. Commun..

[18]  Daniel Benevides da Costa,et al.  Cognitive Amplify-and-Forward Relaying with Best Relay Selection in Non-Identical Rayleigh Fading , 2013, IEEE Communications Letters.

[19]  Trung Quang Duong,et al.  Cognitive Relay Networks With Multiple Primary Transceivers Under Spectrum-Sharing , 2012, IEEE Signal Processing Letters.

[20]  Khuong Ho-Van Performance Analysis of Cooperative Underlay Cognitive Networks with Channel Estimation Error , 2014 .

[21]  Paschalis C. Sofotasios,et al.  Bit error rate of underlay decode-and-forward cognitive networks with best relay selection , 2015, Journal of Communications and Networks.

[22]  Hiroshi Ochi,et al.  On the impact of transceiver impairments to cognitive DF relay networks , 2014, 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS).

[23]  Mohamed-Slim Alouini,et al.  Outage Analysis for Underlay Cognitive Networks Using Incremental Regenerative Relaying , 2013, IEEE Transactions on Vehicular Technology.

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

[25]  Octavia A. Dobre,et al.  Secured cooperative cognitive radio networks with relay selection , 2014, 2014 IEEE Global Communications Conference.

[26]  Xing Zhang,et al.  Exact Outage Analysis in Cognitive Two-Way Relay Networks With Opportunistic Relay Selection Under Primary User's Interference , 2015, IEEE Transactions on Vehicular Technology.

[27]  Emil Björnson,et al.  A New Look at Dual-Hop Relaying: Performance Limits with Hardware Impairments , 2013, IEEE Transactions on Communications.

[28]  Michail Matthaiou,et al.  Cognitive cooperative networks in dual-hop asymmetric fading channels , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).