Performance analysis of energy harvesting cognitive relay networks with primary interference

Analysis of energy harvesting cognitive relay network with cooperative spectrum sensing

“…So, the secondary source s and the relay r b collect energy from the primary signals. According to (9) and (10), the collected energy at the secondary source s and the relay r b are zero. As such, the outage probability P out H 1 , H 0 =0.…”

“…Undertaking the energy at relay nodes harvested from the ambient environment and introducing an energyexhausted probability, the authors focused on the investigation of multiple relays-aided cooperative network in [7]. Moreover, to alleviate the problem of spectrum shortage and obtain spatial diversity, cooperative relay is often deployed in cognitive radio network with energy harvesting [8][9][10][11][12]. In [8], the spectrum sharing cooperative relay transmission was investigated for TS protocol and PS protocol with the secondary user (SU) harvesting energy from the primary signals, respectively.…”

“…In [8], the spectrum sharing cooperative relay transmission was investigated for TS protocol and PS protocol with the secondary user (SU) harvesting energy from the primary signals, respectively. The authors in [9,10] showed the performance of the energy harvesting underlay cognitive relay network under the primary interference power constraint in the presence of primary transmitters' interference. Further, in [11], the performance for the wireless energy harvesting relay-assisted underlay cognitive network was evaluated with the constraint of primary outage probability.…”

“…Note that the aforementioned works [8][9][10][11][12] only studied the energy harvesting cognitive cooperative relay network where the transmission of the SU was required to meet the constraint imposed by the primary user (PU). However, in practice, spectrum sensing and data transmission are two important and connected phase in cognitive radio communications since spectrum sensing results determine the access mode of the SU in the data transmission phase directly.…”

Effective capacity and outage probability assessment of multiple‐relay cognitive communication systems in Nakagami‐m and Rayleigh fading channel

“…In this paper, an effective capacity model is analyzed in Rayleigh fading channel for underlay strategy with and without the direct link existence. The outage analysis of relay‐based cognitive communication with energy harvesting technique is discussed in other works . Outage analysis for decode‐and‐forward relay in multiple‐antenna SU is highlighted in the work of Vashistha et al In the work of Jain et al, an overlay cognitive system is analyzed in terms of bit error rate and outage probability.…”