Semidefinite Relaxation and Approximation Analysis of a Beamformed Alamouti Scheme for Relay Beamforming Networks
Sissi Xiaoxiao Wu, Anthony Man-Cho So, Jiaxian Pan, Wing-Kin Ma

TL;DR
This paper introduces a novel beamformed Alamouti AF scheme for relay networks, formulated as a fractional QCQP, with analysis showing it outperforms traditional schemes especially in large systems.
Contribution
It proposes a rank-two beamformed Alamouti AF scheme with semidefinite relaxation analysis, offering improved performance and additional degrees of freedom over traditional schemes.
Findings
The BFA AF scheme outperforms traditional beamforming AF schemes.
The scheme provides two degrees of freedom for beamformer design.
Numerical results confirm effectiveness in large-scale relay systems.
Abstract
In this paper, we study the amplify-and-forward (AF) schemes in two-hop one-way relay networks. In particular, we consider the multigroup multicast transmission between long-distance users. Given that perfect channel state information is perceived, our goal is to design the AF process so that the max-min-fair (MMF) signal-to-interference-plus-noise ratio (SINR) is optimized subject to generalized power constraints. We propose a rank-two beamformed Alamouti (BFA) AF scheme and formulate the corresponding AF design problem as a \emph{two-variable} fractional quadratically-constrained quadratic program (QCQP), which is further tackled by the semidefinite relaxation (SDR) technique. We analyze the approximation quality of two-variable fractional SDRs under the Gaussian randomization algorithm. These results are fundamentally new and reveal that the proposed BFA AF scheme can outperform the…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Full-Duplex Wireless Communications
