Cognitive Radio Channel with Cooperative Multi-Antenna Secondary Systems

Noh, Jung-Hoon; Oh, Seong-Jun

doi:10.1109/jsac.2014.140314

Cited by 26 publications

(13 citation statements)

References 25 publications

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“…Based on the SINR expression in (3) the beamforming optimization problem for the underlay sharing can be defined to maximize the sum rate of the secondary data streams complying with the interference constraints, i.e. subject to: (10), (14) and (15).…”

Section: B Multiuser Cr Beamforming Sum Rate Maximization Algorithmmentioning

confidence: 99%

Generic Multiuser Coordinated Beamforming for Underlay Spectrum Sharing

Denkovski

Rakovic

Atanasovski

et al. 2016

IEEE Trans. Commun.

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The beamforming techniques have been recently studied as possible enablers for underlay spectrum sharing. The existing beamforming techniques have several common limitations: they are usually system model specific, cannot operate with arbitrary number of transmit/receive antennas, and cannot serve arbitrary number of users. Moreover, the beamforming techniques for underlay spectrum sharing do not consider the interference originating from the incumbent primary system. This work extends the common underlay sharing model by incorporating the interference originating from the incumbent system into generic combined beamforming design that can be applied on interference, broadcast or multiple access channels. The paper proposes two novel multiuser beamforming algorithms for user fairness and sum rate maximization, utilizing newly derived convex optimization problems for transmit and Index TermsMultiuser MIMO, underlay sharing, generic coordinated beamforming, sum rate maximization, fairness, recursive and successive optimization, interference, broadcast, multiple access channels.

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Section: B Multiuser Cr Beamforming Sum Rate Maximization Algorithmmentioning

confidence: 99%

Generic Multiuser Coordinated Beamforming for Underlay Spectrum Sharing

Denkovski

Rakovic

Atanasovski

et al. 2016

IEEE Trans. Commun.

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“…Cooperative relaying predominates in spectrum sharing field because of its ability to take advantage of user diversity and improve capacity and reliability in wireless network [14][15][16], especially when the primary system cannot achieve its QoS, i.e., target rate, through the direct transmission link. [17][18][19][20][21] studied different cooperation forms in cognitive radios. The use of cooperative relaying for the secondary transmissions with a primary user's QoS constraint is discussed in [18], for which a diversity-multiplexing trade-off is developed.…”

Section: Introductionmentioning

confidence: 99%

“…[20] proposed new robust CR cooperative relay beamformers where either the total relay transmit power or the cognitive destination signal-to-interference-and-noise ratio is optimized subject to a constraint on the primary receiver outage probability. [21] proposed jointly optimizing the beamforming vector and power allocation for the secondary transmitter in order to maximize the rate for the secondary system while meeting the rate requirement for the primary system.…”

Section: Introductionmentioning

confidence: 99%

Sum Transmission Rate Maximization Based Cooperative Spectrum Sharing with Both Primary and Secondary QoS-Guarantee

Lu¹,

Zhu²,

Wang³

et al. 2016

KSII TIIS

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In this paper, we propose a sum transmission rate maximization based cooperative spectrum sharing protocol with quality-of-service (QoS) support for both of the primary and secondary systems, which exploits the situation when the primary system experiences a weak channel. The secondary transmitter b ST which provides the best performance for the primary and secondary systems is selected to forward the primary signal. Specifically, b ST helps the primary system achieve the target rate by using a fraction of its power to forward the primary signal. As a reward, it can gain spectrum access by using the remaining power to transmit its own signal. We study the secondary user selection and optimal power allocation such that the sum transmission rate of primary and secondary systems is maximized, while the QoS of both primary and secondary systems can be guaranteed. Simulation results demonstrate the efficiency of the proposed spectrum sharing protocol and its benefit to both primary and secondary systems.

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“…In cognitive networks, cognitive users should first sense the surrounding spectrum. When the cognitive users find there is any idle channel (spectrum hole), they would adjust their own transceiver frequencies and other parameters to access the idle channel to transmit their data [3]. At the same time, the cognitive users must constantly monitor channel states.…”

Section: Introductionmentioning

confidence: 99%

Opportunistic Spectrum Access in Imperfect Spectrum Sensing Cognitive Networks

Chen

Wang²,

Zhang

2015

jcm

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Spectrum sensing strategy is key to realize cognitive radio. However, spectrum sensing error would affect the access strategy of secondary users in cognitive networks. This paper addresses the spectrum sensing strategy under imperfect spectrum sensing, and proposes opportunistic spectrum access strategies for the imperfect spectrum sensing and fading channels respectively. By setting the optimal operating point of the spectrum detection and updating the confidence vector, we turn the spectrum access optimizations under the imperfect spectrum sensing and fading channels into ones under the perfect spectrum sensing based on the partially observable Markov decision process model. Simulation results show that the strategies proposed could make the secondary users achieve about 10% margin in throughput and the cognitive networks have higher spectrum utilization.

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Cognitive Radio Channel with Cooperative Multi-Antenna Secondary Systems

Cited by 26 publications

References 25 publications

Generic Multiuser Coordinated Beamforming for Underlay Spectrum Sharing

Generic Multiuser Coordinated Beamforming for Underlay Spectrum Sharing

Sum Transmission Rate Maximization Based Cooperative Spectrum Sharing with Both Primary and Secondary QoS-Guarantee

Opportunistic Spectrum Access in Imperfect Spectrum Sensing Cognitive Networks

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