Performance analysis of amplify‐and‐forward cognitive relay networks with interference power constraints over Nakagami‐m fading channels

Shurman, Mohammad; Al-Mistarihi, Mamoun F.; Alhulayil, Moawiah

doi:10.1049/iet-com.2014.1182

Cited by 17 publications

(8 citation statements)

References 32 publications

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“…Here, the authors have used the properties of the Meijer G function to derive the new PDF. In [21], the OP has been derived for a cognitive AF relaying network over Nakagami-𝑚 fading channel for two different transmission cases. The first case has used the AF relaying, while the second case has used the AF relaying plus direct link transmission where selection combining (SC) technique is used at the receiver.…”

Section: Related Workmentioning

confidence: 99%

“…Next, the overall symbol error probability (SEP) for CRN using DF protocol was formulated in [19][20] for different CRN topologies, where single relay and multiple relays are considered for CRN with and without a direct link. In [21], the exact OP expression for the DF scheme CRN over Nakagami-m channels has been investigated for the direct link scenario. SC technique was used assuming i.n.i.d channels.…”

Section: Related Workmentioning

confidence: 99%

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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%

Section: Related Workmentioning

confidence: 99%

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

2022

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“…An SC scheme was deployed at the destination. For both scenarios, the outage probability (OP) was evaluated and the obtained results showed that the second system model (i.e., using the SC scheme) achieved better performance compared with the regular AF relaying transmission [56]. In addition, the performance of CRNs using DF relays using the maximalratio combining (MRC), which provides the maximum output SNR, was investigated in [57].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Dual-Hop AF Cognitive Relay Networks with Best Selection and Interference Constraints

2022

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In this paper, a dual-hop underlay cognitive relay network (CRN) with a best-relay selection (BRS) scheme under spectrum-sharing constraints from the primary user (PU) is investigated. The system model in this work consists of one PU, one secondary user (SU) and a few SU relays. Both users exchange the information using a half-duplex mode through amplify-and-forward (AF) SU relays. Moreover, all channels are modelled using the Nakagami-m fading model. In this work, the outage probabilities (OPs) are derived for the proposed system model under several scenarios to investigate the network performance under interference power constraint Ip at the PU receiver. In addition, the impacts of the number of relays and the channel fading severity parameters are investigated as well. Furthermore, the system performance is investigated for several PU locations. The various numerical results are verified using a Monte Carlo simulation. Overall, the obtained results show that several factors such as the number of relays, channel fading severity parameters and PU location have a major impact on the outage performance of the SU. The simulation and analytical results are perfectly matched, confirming the accuracy of the analytical derivations.

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“…In underlay mode, the SU is permitted to access the licence spectrum of the PU receiver simultaneously under the interference constraint provided that its transmission power is below certain threshold. This mode of cognitive radio is a standard approach and widely used owing to its simplicity compared to others 5 …”

Section: Introductionmentioning

confidence: 99%

On the performance of underlay cognitive radio system with random mobility under imperfect channel state information

Odeyemi

Owolawi

Olakanmi

2020

Int J Communication

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Summary In this paper, the performance of an underlay cognitive radio system with random mobility and imperfect channel state information (CSI) is investigated. The mobile user (MU) utilises maximum ratio combining (MRC) and selection combining (SC) diversity techniques as signal reception to improve the quality of received signal‐to‐noise ratio (SNR). Under the Rayleigh fading, random waypoint mobility model is employed to characterised the effect of the MU random mobility on the system performance. Thus, novel probability density function (PDF) and cumulative distribution function (CDF) for the two considered diversity techniques are derived. Through these, the outage probability and average bit error rate (ABER) closed‐form analytical expressions are then obtained to quantify the system performance under the MRC and SC schemes. The results illustrate the effect of imperfect CSI, user mobility which is characterised by pathloss and the network topology on the system performance. Also, the results depict that MRC offers the system better performance compared with SC under the same system conditions. The accuracy of the derived analytical expressions is verified through Monte‐Carlo simulations.

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Performance analysis of amplify‐and‐forward cognitive relay networks with interference power constraints over Nakagami‐m fading channels

Cited by 17 publications

References 32 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

Performance Analysis of Dual-Hop AF Cognitive Relay Networks with Best Selection and Interference Constraints

On the performance of underlay cognitive radio system with random mobility under imperfect channel state information

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