Study of Relay Selection in a Multi-Cell Cognitive Network

Chen, Gaojie; Gong, Yu; Chambers, Jonathon A.

doi:10.1109/wcl.2013.051513.130198

Cited by 20 publications

(11 citation statements)

References 23 publications

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“…Alternatively, the relay selection dependency problem can be avoided by assuming the link between the secondary source and primary user is constant, but this only applies to some specialized systems such as when the secondary source and primary user have little mobility (e.g. [7]). …”

Section: Introductionmentioning

confidence: 99%

Decode-and-Forward Buffer-Aided Relay Selection in Cognitive Relay Networks

Chen

Tian

Gong

et al. 2014

IEEE Trans. Veh. Technol.

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Section: Introductionmentioning

confidence: 99%

Decode-and-Forward Buffer-Aided Relay Selection in Cognitive Relay Networks

Chen

Tian

Gong

et al. 2014

IEEE Trans. Veh. Technol.

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“…In the absence of a direct link, γ kD is calculated for γ SD = P S g SD = 0. The expression in (7) also applies to the scenario where the direct link exists, yet it is treated as mere interference. Alternatively, if DT is taken into account as a possible diversity branch, the end-to-end SINR is given by…”

Section: Full-duplex Relay Selectionmentioning

confidence: 99%

Full-Duplex Relay Selection in Cognitive Underlay Networks

Khafagy

Alouini

Aı̈ssa

2018

IEEE Trans. Commun.

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In this work, we analyze the performance of fullduplex relay selection (FDRS) in spectrum-sharing networks. Contrary to half-duplex relaying, full-duplex relaying (FDR) enables simultaneous listening/forwarding at the secondary relay(s), thereby allowing for a higher spectral efficiency. However, since the source and relay simultaneously transmit in FDR, their superimposed signal at the primary receiver should now satisfy the existing interference constraint, which can considerably limit the secondary network throughput. In this regard, relay selection can offer an adequate solution to boost the secondary throughput while satisfying the imposed interference limit. We first analyze the performance of opportunistic FDRS with residual selfinterference (RSI) by deriving the exact cumulative distribution function of its end-to-end signal-to-interference-plus-noise ratio under Nakagami-m fading. We also evaluate the offered diversity gain of relay selection for different full-duplex cooperation schemes in the presence/absence of a direct source-destination link. When the adopted RSI link gain model is sublinear in the relay power, which agrees with recent research findings, we show that remarkable diversity gain can be recovered even in the presence of an interfering direct link. Second, we evaluate the end-to-end performance of FDRS with interference constraints due to the presence of a primary receiver. Finally, the presented exact theoretical findings are verified by numerical simulations.

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“…Similar to those in [23], [33], the transmission powers of SS and SD can be constrained as P ss γ sp ≤ I th and P sd γ d j p ≤ I th respectively. Then replacing P ss in (3) with Thus we propose that the receiving antenna at the secondary destination SD is selected maximizing (4) such that…”

Section: A Receiving Antenna Selectionmentioning

confidence: 99%

Dual Antenna Selection in Secure Cognitive Radio Networks

Chen

Gong

Xiao

et al. 2016

IEEE Trans. Veh. Technol.

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This paper investigates data transmission and physical layer secrecy in cognitive radio network. We propose to apply full duplex transmission and dual antenna selection at secondary destination node. With the full duplex transmission, the secondary destination node can simultaneously apply the receiving and jamming antenna selection to improve the secondary data transmission and primary secrecy performance respectively. This describes an attractive scheme in practice: unlike that in most existing approaches, the secrecy performance improvement in the CR network is no longer at the price of the data transmission loss. The outage probabilities for both the data transmission and physical layer secrecy are analyzed. Numerical simulations are also included to verify the performance of the proposed scheme.

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Study of Relay Selection in a Multi-Cell Cognitive Network

Cited by 20 publications

References 23 publications

Decode-and-Forward Buffer-Aided Relay Selection in Cognitive Relay Networks

Decode-and-Forward Buffer-Aided Relay Selection in Cognitive Relay Networks

Full-Duplex Relay Selection in Cognitive Underlay Networks

Dual Antenna Selection in Secure Cognitive Radio Networks

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