Optimal beamforming in cognitive two-way relay networks

Alizadeh, Ardalan; Sadough, Seyed Mohammad Sajad; Khajavi, Navid Tafaghodi

doi:10.1109/pimrc.2010.5671706

Cited by 21 publications

(19 citation statements)

References 9 publications

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“…where constraints (23) and (24) indicate that the sum of the allocated power over the free eigenmodes is smaller than the total power budget of S 1 and S 2 , respectively, and constraint (25) indicates that the transmitted signal from the relay has to not exceed its power budget. The optimization problem (22)- (25) can be simplified using invariance of the Trace operator under the cyclic permutation.…”

Section: Secondary Achievable Rates and Space Alignment Precodingmentioning

confidence: 99%

“…The MIMO OWR CR capacity was studied in [13], [14]. Authors in [25]- [27] considered cognitive AF TWR and used beamforming design on the SU to avoid the interference with the PU. In [25], the relay is used to assist the PU communications as well.…”

Section: Introductionmentioning

confidence: 99%

“…Authors in [25]- [27] considered cognitive AF TWR and used beamforming design on the SU to avoid the interference with the PU. In [25], the relay is used to assist the PU communications as well. The TWR CR power allocation was studied in [28], [29] and in [21], where the authors analyzed the cognitive performance of an AF TWR in a spectrum sensing framework.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems

Sboui

Ghazzai

Rezki

et al. 2016

IEEE Trans. Commun.

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Section: Secondary Achievable Rates and Space Alignment Precodingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems

Sboui

Ghazzai

Rezki

et al. 2016

IEEE Trans. Commun.

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“…The objective was to find an optimal power allocation at the single relaying cognitive node that minimizes the outage probability at the cognitive receiver for given outage constraints on the primary system. A joint relay selection and resource allocation algorithm for TWR overlay CR networks is also proposed in [20], where the best relays (CUs) with higher channel gain are selected to act as relays to help for primary transmission.…”

Section: B Overlay Cognitive Radio: Literature Reviewmentioning

confidence: 99%

Joint Bandwidth and Power Allocation for MIMO Two-Way Relays-Assisted Overlay Cognitive Radio Systems

Alsharoa

Ghazzai

Yaacoub³

et al. 2015

IEEE Trans. Cogn. Commun. Netw.

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“…The design of efficient CR schemes also depends on the structure and the architecture of the primary system. For examples, different spectrum sensing and CR communication schemes are necessary when the primary system is a point-to-point network [2], or a cooperative relay network with single [3]- [5] or multiple antennas [6].…”

Section: Introductionmentioning

confidence: 99%

Spatial Sensing and Cognitive Radio Communication in the Presence of a <inline-formula> <tex-math notation="TeX">$K$</tex-math></inline-formula>-User Interference Primary Network

Alizadeh

Bahrami

Maleki

et al. 2015

IEEE J. Select. Areas Commun.

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Abstract-We study the feasibility of cognitive radio (CR) communication in the presence of a K-user multi-input multioutput (MIMO) interference channel as the primary network. Assuming that the primary interference network has unused spatial degrees of freedom (DoFs), we first investigate the sufficient condition on the number of antennas at the secondary transmitter under which the secondary system can communicate while causing no interference to the primary receivers. We show that, to maximize the benefit, the secondary transmitter should have at least the same number of antennas as the spatial DoFs of the primary system. We then derive the secondary precoding and decoding matrices to have zero interference leakage into the primary network while the signal-to-interference plus noise ratio (SINR) at the secondary receiver is maximized. As the success of the secondary communication depends on the availability of unused DoFs, we then propose a fast sensing method based on the eigenvalue analysis of the received signal covariance matrix to determine the availability of unused DoFs or equivalently spatial holes. Since the proposed fast sensing method cannot identify the indices of inactive primary streams, we also provide a fine sensing method based on the generalized likelihood ratio test (GLRT) to decide the absence of individual primary streams. Simulation results show that the proposed CR sensing and transmission scheme can, in practice, provide a significant throughput while causing no interference to the primary receivers, and that the sensing detects the spatial holes of the primary network with high detection probability.Index Terms-Cognitive radio, K-user MIMO interference channel, interference alignment, null space sensing, spatial holes, eigenvalue-based sensing, GLRT detector.

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Optimal beamforming in cognitive two-way relay networks

Cited by 21 publications

References 9 publications

Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems

Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems

Joint Bandwidth and Power Allocation for MIMO Two-Way Relays-Assisted Overlay Cognitive Radio Systems

Spatial Sensing and Cognitive Radio Communication in the Presence of a <inline-formula> <tex-math notation="TeX">$K$</tex-math></inline-formula>-User Interference Primary Network

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