Performance of a Cognitive Relay Network under AF Relay Selection Scheme with Imperfect Channel Estimation

Prasad, Binod; Roy, Sanjay Dhar; Kundu, Sumit

doi:10.13164/re.2016.0289

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Using SC technique, the work in [42] explained the derivation of the exact moment‐generating function, OP and SER performance. Furthermore, in [43], the OP was used to compare the performance of a SU in a dual hop AF scheme of CRNs with and without a direct path. These metrics were evaluated using SC and MRC combining techniques over different realistic fading channels, namely, Rayleigh and Nakagami‐ m channels.…”

Section: Related Workmentioning

confidence: 99%

Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels

2022

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Cognitive relay network is a spectrum dynamic paradigm that exploits the unused portions of the licensed spectrum. This is based on merging both cooperative relaying techniques and cognitive radio network to achieve spectrum efficiency and enhance the overall system performance. In this paper, the presence of mobile users at the destination node is considered. Here, the end users can navigate at relatively fast vehicular velocities causing dynamic multipath fading and high Doppler shift. which can be fairly modeled using Nakagami−𝑚 fading channel (i.e., 𝑚 < 1). In a spectrum scarcity environment, a secondary user must deploy an optimal power allocation policy to get higher transmission rates while the overall interference affecting the primary user (PU) is kept below a certain threshold value. In particular, the outage probability performance is studied over the mixed Rayleigh and Nakagami−𝑚 fading channels for different scenarios based on the statistical characteristics of signal-to-noise ratio. The first scenario is the cognitive dual hop amplify and forward relay network over independent and non-identical (i.n.i.d) distributed mixed fading channels. In the second scenario, the cognitive relay network consists of a single amplify and forward relay in addition to the direct link transmission with a selection combining at the destination over i.n.i.d distributed mixed fading channels. Numerical results are presented to evaluate the impact of the fading parameter, 𝑚, the maximum aggregated intrusion constraint, and the locations of the primary users (PUs) on different channel scenarios at high vehicular speeds.

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Section: Related Workmentioning

confidence: 99%

Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels

2022

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“…In [1], decode-and-forward (DF) relays have been used for full duplex operation over a Nakagami-m channel, using power and location optimization. Network problems like imperfect channel state information [2,3], and hardware impairments [4], can also be remedied significantly, by the implementation of relays in such networks. A DF relayed configuration is explored in [5] on a system using Nakagami-m characteristics, where the effect of interference temperature on the channel is also considered.…”

Section: Introductionmentioning

confidence: 99%

Error analysis of dual-hop DF relayed underlay cognitive networks over EGK fading channels

et al. 2019

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In the presented work, we analyze an underlay cognitive relay network, with a decode and forward relay, for its error performance. The channel is modelled on extended generalized-K fading statistics. Interference temperature here is taken as a constraint which puts a limit on the secondary network transmit powers at the source and the relay. This is to ensure that the interference with the primary communication is kept to a minimum which is a mandatory condition for an underlay system. For the system under consideration, the computation of signal-to-noise ratio, respectively at the secondary relay and the destination, is the first step in our analysis. This is followed by the computation of the equivalent cumulative distribution functions. These quantities are then used for the calculation of the analytic expression for the probability of error of the dual-hop underlay system. Our results demonstrate how the error performance depends on different system parameters when working under the mentioned system constraints. Various numerical examples in the end illustrate how these parameters affect the system error performance of the relayed dual-hop underlay cognitive radio network.

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Performance Evaluation of Cognitive Relay Networks for End User Mobile Over Mixed Realistic Channels

Khodeir

Al-Mistarihi

Ibrahem

2022

Preprint

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Cognitive relay network is a spectrum dynamic paradigm that exploits the unused portions of the licensed spectrum. This is based on merging both cooperative relaying techniques and cognitive radio network to achieve spectrum efficiency and enhance the overall system performance. In this paper, the presence of mobile users at the destination node is considered. Here, the end users can navigate at relatively fast vehicular velocities causing dynamic multipath fading and high Doppler shift. which can be fairly modeled using Nakagami-m fading channel (i.e., m < 1). In a spectrum scarcity environment, a secondary user must deploy an optimal power allocation policy to get higher transmission rates while the overall interference affecting the primary user (PU) is kept below a certain threshold value. In particular, the outage probability performance is studied over the mixed Rayleigh and Nakagami-m fading channels for different scenarios based on the statistical characteristics of signal-to-noise ratio. The first scenario is the cognitive dual hop amplify and forward relay network over independent and non-identical (i.n.i.d) distributed mixed fading channels. In the second scenario, the cognitive relay network consists of a single amplify and forward relay in addition to the direct link transmission with a selection combining at the destination over i.n.i.d distributed mixed fading channels. Numerical results are presented to evaluate the impact of the fading parameter, m, the maximum aggregated intrusion constraint, and the locations of the primary users (PUs) on different channel scenarios at high vehicular speeds.

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Performance of a Cognitive Relay Network under AF Relay Selection Scheme with Imperfect Channel Estimation

Abstract: Abstract. In this paper outage performance of a secondary user (SU) is evaluated under an amplify and forward (AF

Cited by 3 publications

References 29 publications

Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels

Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels

Error analysis of dual-hop DF relayed underlay cognitive networks over EGK fading channels

Performance Evaluation of Cognitive Relay Networks for End User Mobile Over Mixed Realistic Channels

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