Distributed Beamforming for Relay Networks Based on Second-Order Statistics of the Channel State Information

By Veria Havary-Nassab, Shahram ShahbazPanahi, Ali Grami, Zhi-Quan Tom Luo. IEEE Transactions on Signal Processing, 2008

439 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0a43a505493b32de3f388183b936c28c88bb6eda

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Multiuser Two-Way Amplify-and-Forward Relay Processing and Power Control Methods for Beamforming Systems (2010, background): “In relay communications, multiple relays create a multiple-input multiple-output (MIMO) environment at the relay layer and exploit various MIMO techniques such as array processing [1], space-frequency coding [2], and beamforming [3]–[5].”
On Cooperative Relaying Schemes for Wireless Physical Layer Security (2010, methodology): “ForJ > 2, if Z◦ does not have rank one, we use Gaussian randomization proced ure (GRP) to obtain an approximate solution based on the SDR solution [28], [29].”
QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach (2011, background): “For a general coverage of convex optimization for transmit beamforming, readers are referred to the magazine article [8] and the book chapter [9]; see also [10]‐[13] for some further studies on the capability of convex optimization, and [ 14 ], [15] for some emerging applications.”
Principles of minimum variance robust adaptive beamforming design (2013, background): “The paper [2] overviews the recent applications of adaptive and robust beamforming to new emerging fields in wireless communications such as downlink beamforming in cellular wireless networks [29], robust code-division multiple-access (CDMA) multiuser detection [30–32], linear receiver design for mu”
Convex Optimization-Based Beamforming (2010, methodology): “To avoid the need to know instantaneous CSI, fi and gi can be modeled as random variables [29], and it can be assumed that their joint second-order statistics are known at the destination node that uses this knowledge to compute the relay complex weight coefficients and feed them back to the relay n”
Improving Wireless Physical Layer Security via Cooperating Relays (2010, methodology): “A similar optimization problem was analyzed in [40].”