Performance Comparison of scheduled TAS/GSC with STBC/GSC in Underlay Cognitive Radios

In this paper, a multiuser cognitive radio (CR) system has been studied as well as analyzed by comparing two significant diversity schemes viz. Transmit antenna selection (TAS) with Space time block coding (STBC) at cognitive transmitter (CR-Tx). Each cognitive receiver (CR-Rx)is employing generalized selection combiner (GSC). The one best CR user is chosen out of all competing CR users on the context of highest instantaneous average signal to noise ratio (SNR) obtained at each CR-Rx. The improved average post processed SNR (APPSNR), Ergodic capacity $(C_{erg})$ and Average bit error rate (ABER) of both the proposed CR models i.e. scheduled TAS/GSC and scheduled STBC/GSC scenarios are functions of the best selected CR-Rx branches and the best CR user. The primary user (PU) outage constraint is satisfied by incorporating transmit power control policy which drives the CR-Tx to adjust its transmitted power. The analytical expressions are derived for all the above defined performance metrics. The achieved simulation outcomes validate the analytical counterpart.

[1]  Hyung Yun Kong,et al.  Ergodic and outage capacity of interference temperature-limited cognitive radio multi-input multi-output channel , 2011, IET Commun..

[2]  Narayanaswamy Balakrishnan,et al.  Order statistics and inference , 1991 .

[3]  Desmond P. Taylor,et al.  A Simple Transmit Diversity Technique for Wireless Communications , 2007 .

[4]  Georgios B. Giannakis,et al.  Performance analysis of combined transmit selection diversity and receive generalized selection combining in Rayleigh fading channels , 2004, IEEE Transactions on Wireless Communications.

[5]  Saleh R. Al-Araji,et al.  Multi-taper spectrum-based estimator for cognitive radio using multiple antennas and STBC techniques , 2018, IET Circuits Devices Syst..

[6]  Branka Vucetic,et al.  Analysis of transmit antenna selection/maximal-ratio combining in Rayleigh fading channels , 2005, IEEE Transactions on Vehicular Technology.

[7]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[8]  Vahid Tarokh,et al.  Scaling Laws of Cognitive Networks , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[9]  Ying-Chang Liang,et al.  Optimal Power Allocation Strategies for Fading Cognitive Radio Channels with Primary User Outage Constraint , 2011, IEEE Journal on Selected Areas in Communications.

[10]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[11]  Dong Li Performance Analysis of MRC Diversity for Cognitive Radio Systems , 2012, IEEE Transactions on Vehicular Technology.

[12]  Moe Z. Win,et al.  Analysis of hybrid selection/maximal-ratio combining in Rayleigh fading , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[13]  Rajesh Khanna,et al.  Performance Analysis of Combined Space Time Block Coding with Generalized Selection Combining in Underlay Cognitive Radio , 2017, Wirel. Pers. Commun..

[14]  Norman C. Beaulieu,et al.  Generalized receiver selection combining schemes for alamouti MIMO systems with MPSK , 2009, IEEE Transactions on Communications.

[15]  Ruifeng Duan,et al.  Performance analysis of a cognitive-shared channel with GSC diversity under primary outage probability , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).

[16]  Laurence B. Milstein,et al.  Comparison of diversity combining techniques for Rayleigh-fading channels , 1996, IEEE Trans. Commun..

[17]  Donghun Lee,et al.  Performance Analysis of Scheduled Cognitive Radio Systems With MIMO Transmission , 2013, IEEE Transactions on Vehicular Technology.

[18]  Ying-Chang Liang,et al.  Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity , 2008, IEEE Transactions on Wireless Communications.

[19]  Hans-Jurgen Zepernick,et al.  Outage performance of cognitive radio networks under outage constraint of multiple primary users and transmit power constraint of secondary user , 2013, 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN).

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

[21]  Mandy Eberhart,et al.  Digital Communication Over Fading Channels , 2016 .