Performance analysis of relay selection schemes in underlay cognitive networks with imperfect channel state information

Chamkhia, Hela; Hasna, Mazen O.

doi:10.1109/ictc.2013.6675419

Cited by 2 publications

(2 citation statements)

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“…The same procedure can be repeated to derive the average error probability of the second hop. The only difference is that we use the tight approximate opportunistic CDF for the second hop that we derived in (16). For the purpose of saving space we have omitted the equations.…”

Section: ) Error Probability For the Opportunistic Second Hopmentioning

confidence: 99%

“…The same procedure that we used for the first hop CDF can be repeated for the opportunistic second hop CDF. Therefore, we can formulate a tight approximate opportunistic CDF of the second hop opportunistic equivalent SINR as in (16), where Λ 3 , and Λ 3 are obtained by using the formulas given in (45a, and 45b), respectively.…”

Section: Appendix B Proof Of Theoremmentioning

confidence: 99%

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Performance Analysis of Opportunistic Scheduling in Dual-Hop Multiuser Underlay Cognitive Network in the Presence of Cochannel Interference

Hussein

Ikki

Boussakta

et al. 2016

IEEE Trans. Veh. Technol.

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In this paper, the performance of a dual-hop multiuser underlay cognitive network is thoroughly investigated by using decode-and-forward (DF) protocol at the relay node and employing opportunistic scheduling at the destination users. A practical scenario where co-channel interference (CCI) signals are present in the system is considered for the investigation. Considering that transmissions are performed over non-identical Rayleigh fading channels, first, the exact signal-to-interferenceplus-noise ratio (SINR) of the network is formulated. Then, the exact equivalent cumulative distribution function (CDF) and the outage probability of the system SINR are derived. An efficient tight approximation is proposed for the per hop CDFs, based on which, the closed-form expressions for the error probability and the ergodic capacity are derived. Furthermore, an asymptotic expression for the CDF of the instantaneous SINR is derived; and a simple and general asymptotic expression for the error probability is presented and discussed. Moreover, the adaptive power allocation under total transmit power constraint is studied in order to minimize the asymptotic average error probability. As expected, the results show that optimum power allocation improves the system performance compared with the uniform power allocation. Finally, the theoretical analysis is validated by presenting various numerical results and Monte Carlo simulations. Index Terms-Underlay cognitive radio, dual-hop decodeand-forward, co-channel interference, error probability, outage probability, ergodic capacity, optimization I. INTRODUCTION C OGNITIVE radio (CR) has become a more attractive research field in wireless communication for many researchers in the last few years [1]-[5]. This is because of its promise of using the existing frequency spectrum more efficiently. Recently, three paradigms have been proposed for realizing the CR network [2]. Based on the simplicity of implementation, they are underlay, interweave and overlay. In an underlay CR scheme, there is a strict power constraint on the transmission power [2] for the purpose of the protection of the quality of service (QoS) of the primary user. One of

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Section: ) Error Probability For the Opportunistic Second Hopmentioning

confidence: 99%

Section: Appendix B Proof Of Theoremmentioning

confidence: 99%