Outage performance of relay-assisted cognitive-radio system under spectrum-sharing constraints

Guo, Yuting; Kang, Guixia; Zhang, N.; Zhou, Wenjiao; Zhang, P.

doi:10.1049/el.2010.2159

Cited by 136 publications

(85 citation statements)

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“…As stated in [5], the exact outage probability of such networks is generally very difficult to derive when conventional derivation approaches, i.e., employing the independence among channels, can not be used due to the interdependence of relaying links. To address this concern, several bounds for the outage probability have been provided in [5][6][7]. In particular, in [6], Guo et al first derived the outage performance of underlay relay networks in Rayleigh fading channels.…”

Section: Introductionmentioning

confidence: 99%

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Exact Outage Probability of Cognitive Underlay DF Relay Networks with Best Relay Selection

Bao

Duong

2012

IEICE Trans. Commun.

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SUMMARYIn this letter, we address the performance analysis of underlay selective decode-and-forward (DF) relay networks in Rayleigh fading channels with non-necessarily identical fading parameters. In particular, a novel result on the outage probability of the considered system is presented. Monte Carlo simulations are performed to verify the correctness of our exact closed-form expression. Our proposed analysis can be adopted for various underlay spectrum sharing applications of cognitive DF relay networks. key words: Decode-and-forward, relay networks, underlay approach, interference constraints, outage probability, cognitive radio.

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Section: Introductionmentioning

confidence: 99%

“…To address this concern, several bounds for the outage probability have been provided in [5][6][7]. In particular, in [6], Guo et al first derived the outage performance of underlay relay networks in Rayleigh fading channels. Subsequently, Lee et al in [7] extended the work of Guo by considering the maximum transmission power of each node.…”

Section: Introductionmentioning

confidence: 99%

Exact Outage Probability of Cognitive Underlay DF Relay Networks with Best Relay Selection

Bao

Duong

2012

IEICE Trans. Commun.

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“…In our cognitive-radio-based underlay sharing model, all channels are assumed to be independent and identically slowly varying flat Rayleigh fading channel. According to [21] and the transformation of random variables, the PDF of θ i is then given as…”

Section: Multiple-source Selection and Revenuementioning

confidence: 99%

Incentives in cooperative networks: a contract-theoretic perspective

Liu

Zhong

Yang

et al. 2014

J Wireless Com Network

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Multiuser cooperative communication significantly improves the performance of wireless communication networks. One key challenge of multiuser cooperative communication is how to design a cooperative mechanism to incentivize potential relay nodes to help a source node in its data transmission. In this paper, to address this problem, a contract-based principal-agent framework is proposed in the context of a cognitive-radio-based wireless relaying networks in which the sources' wireless characteristics constitute hidden information which is not known by the relay. The problem is modeled as a monopolist's problem, in which a mobile relay node acts as the principal who designs incentive-compatible (IC) and individually rational (IR) contract items, consisting of a set of rate-price pairs. Subsequently, contract items can be broadcast by the relay to nearby mobile users that want to send data. Once these sources optimally select an item and notify the relay that they are willing to accept it, the relay then chooses one source based on the highest revenue for which to provide service. The cooperative gain, relay's revenue, and expected data rate are characterized for the optimal contract under complete information and incomplete information. Theoretical analysis and numerical results show that this pricing mechanism can lead to a win-win situation in which source nodes get good communication service and relay nodes maximize their own profit that can, in turn, be used to purchase the relay service of other nodes when needed in the future. Moreover, the proposed mechanism is shown to also exhibit other important features such as low complexity and low signaling overhead.

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“…The outage performance of decode-and-forward (DF) CRNs was evaluated in [5][6][7][8][9][10]. In these studies, the secondary cell was assumed to include a source, a set of relays, and a destination in addition to a primary user in the neighboring primary cell.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of cognitive AF relay networks with multiuser switched diversity in Rayleigh fading channels

Salhab

Zummo

2017

J Wireless Com Network

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The multiuser switched diversity (MUSwiD) selection schemes are useful in reducing the required channel estimation load in wireless networks. In this paper, we propose and evaluate the performance of cognitive amplify-and-forward (AF) MUSwiD relay networks where a cognitive user is selected among a set of users for data reception. The selection process is performed such that the end-to-end (e2e) signal-to-noise ratio (SNR) of the selected user satisfies a predetermined switching threshold. Such a user that satisfies this threshold is scheduled instead of the best user to receive its message from the secondary source. In the proposed system, we consider a cognitive source, a cognitive relay, a set of cognitive users, and a primary user. In this paper, an upper bound on the e2e SNR of a user is used in deriving of closed-form approximations for the outage probability and average symbol error probability (ASEP) of the studied system in addition to deriving the ergodic channel capacity. To get more about system insights, the performance is studied at the high SNR regime where approximate expressions for the outage probability, SEP, diversity order, and coding gain are derived. The derived analytical and asymptotic expressions are verified by Monte-Carlo simulations, and some numerical examples are provided to illustrate the effect of some parameters such as number of users and switching threshold on the system performance. Findings illustrate that the diversity order of the studied cognitive AF multiuser switched diversity relaying network is the same as its non-cognitive counterpart. Also, results show that the asymptotic results tightly converge to the exact ones, and the analytical bounds are indeed very tight, validating the accuracy of our approach of analysis. Furthermore, findings illustrate that the proposed MUSwiD user selection schemes are efficient in the range of low SNR values, which makes them attractive options for practical implementation in emerging mobile broadband communication systems. In contrast, these selection schemes are shown to be inefficient in the range of high SNR values where the multiuser diversity gain is noticeably degraded when they are implemented.

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Outage performance of relay-assisted cognitive-radio system under spectrum-sharing constraints

Cited by 136 publications

References 1 publication

Exact Outage Probability of Cognitive Underlay DF Relay Networks with Best Relay Selection

Exact Outage Probability of Cognitive Underlay DF Relay Networks with Best Relay Selection

Incentives in cooperative networks: a contract-theoretic perspective

Performance analysis of cognitive AF relay networks with multiuser switched diversity in Rayleigh fading channels

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