Robust joint optimization for MIMO AF multiple-relay systems with correlated channel uncertainties

Hu, Chia-Chang; Chiu, Yi-Shiang

doi:10.1016/j.aeue.2013.12.001

Cited by 4 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…BF design of terrestrial cooperative network has already gained much attention [11][12][13][14]. By assuming that only the secondorder statistics of the source-relay and relay-destination channel vectors are known, the authors of [12] have studied the joint receive and transmit BF schemes for a multiple antennas relay network.…”

Section: Introductionmentioning

confidence: 99%

Beamforming schemes for hybrid satellite-terrestrial cooperative networks

Yuan

Lin

Ouyang

et al. 2015

AEU - International Journal of Electronics and Communications

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Beamforming schemes for hybrid satellite-terrestrial cooperative networks

Yuan

Lin

Ouyang

et al. 2015

AEU - International Journal of Electronics and Communications

View full text Add to dashboard Cite

“…In order to circumvent these problems, by taking into account the channel uncertainties, the imperfect CSI scenario has been studied in [7,[14][15][16][17][18][19][20]. The authors in [14] considered robust transceiver design in a multiuser MIMO multirelay cognitive radio network with interference power constraints and individual transmission power constraints. In [15], the authors have investigated the global optimal transceiver design in the MIMO link under a deterministic CSI uncertainty model.…”

Section: Introductionmentioning

confidence: 99%

Generalized Beamforming Design for Cooperative MIMO Multirelay Networks with Infinite Constraints and Imperfect CSI

Duan

Sun

et al. 2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

A generalized base station-relay-user equipment (BS-Relay-UE) beamforming design is investigated for a cooperative multipleinput multiple-output (MIMO) multirelay networks with imperfect channel state information (CSI). In order to minimize the worstcase mean square error (MSE) which is subject to a semi-infinite (SI) relay power constraints, a generalized optimal beamforming structure for the relay amplifying matrix is effectively proposed, and then the SI relay power constraints are converted into linear matrix inequalities (LMIs) version. In such conversion, the objective problem recasts as a decoupled biconvex semidefinite programming (SDP) one which can be efficiently solved by the proposed alternating algorithm. The system performance has been verified in terms of worst-case MSE using a set of qualitative analyses. The results show us that the proposed beamforming method outperforms the conventional schemes and can also effectively reduce the computational complexity when it is compared to the cutting-set schemes and also to the nonrobust ones.

show abstract