Journal ArticleDOI
Beamformer Designs for MISO Broadcast Channels with Zero-Forcing Dirty Paper Coding
TLDR
This paper analytically establishes that the QRD-based design is indeed optimal for any performance measure under a SPC, and proposes an optimal beamformer design method for ZF-DPC with per-antenna power constraints (PAPCs), using a convex optimization framework.Abstract:
We consider the beamformer design for multiple-input multiple-output (MISO) broadcast channels (MISO BCs) using zero-forcing dirty paper coding (ZF-DPC). Assuming a sum power constraint (SPC), most previously proposed beamformer designs are based on the QR decomposition (QRD), which is a natural choice to satisfy the ZF constraints. However, the optimality of the QRD-based design for ZF-DPC has remained unknown. In this paper, first, we analytically establish that the QRD-based design is indeed optimal for any performance measure under a SPC. Then, we propose an optimal beamformer design method for ZF-DPC with per-antenna power constraints (PAPCs), using a convex optimization framework. The beamformer design is first formulated as a rank-1-constrained optimization problem. Exploiting the special structure of the ZF-DPC scheme, we prove that the rank constraint can be relaxed and still provide the same solution. In addition, we propose a fast converging algorithm to the beamformer design problem, under the duality framework between the BCs and multiple access channels (MACs). More specifically, we show that a BC with ZF-DPC has the dual MAC with ZF-based successive interference cancellation (ZF-SIC). In this way, the beamformer design for ZF-DPC is transformed into a power allocation problem for ZF-SIC, which can be solved more efficiently.read more
Citations
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Journal ArticleDOI
On the Spectral Efficiency of Full-Duplex Small Cell Wireless Systems
TL;DR: Two provably convergent algorithms are proposed to obtain suboptimal solutions of the spectral efficiency of full-duplex small cell wireless systems by approximate the design problem by a determinant maximization program in each iteration of the first algorithm.
Journal ArticleDOI
On the Spectral Efficiency of Full-Duplex Small Cell Wireless Systems
TL;DR: In this article, a joint beamforming design was proposed to maximize the spectral efficiency of full-duplex small-cell wireless systems, in which a fullduplex capable base station (BS) is designed to send/receive data to/from multiple halfduplex users on the same system resources.
Journal ArticleDOI
Energy Efficient Beamforming in MISO Heterogeneous Cellular Networks With Wireless Information and Power Transfer
TL;DR: This work considers a multiple-input single-output (MISO) femtocell cochannel overlaid with a Macrocell to exploit the advantages of SWIPT while promoting the EE, and devise two beamformers namely zero-forcing (ZF) and mixed beamforming (MBF), and proposes an efficient algorithm to obtain the optimal power under both beamformer.
Journal ArticleDOI
Joint Information and Jamming Beamforming for Secrecy Rate Maximization in Cognitive Radio Networks
TL;DR: This paper designs a jamming noise (JN) transmit strategy to maximize the secrecy rate of the secondary system and proposes a barrier interior-point method to solve the resulting saddle point problem based on a duality result.
Journal ArticleDOI
Weighted Sum Rate Maximization for MIMO Broadcast Channels Using Dirty Paper Coding and Zero-forcing Methods
TL;DR: The optimal precoder design for PAPCs is computed by solving the relaxed problem, for which the proposed numerical method is applicable for finding the optimal precoders for block diagonalization scheme.
References
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Book
Convex Optimization
Stephen Boyd,Lieven Vandenberghe +1 more
TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Proceedings ArticleDOI
YALMIP : a toolbox for modeling and optimization in MATLAB
TL;DR: Free MATLAB toolbox YALMIP is introduced, developed initially to model SDPs and solve these by interfacing eternal solvers by making development of optimization problems in general, and control oriented SDP problems in particular, extremely simple.
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On the achievable throughput of a multiantenna Gaussian broadcast channel
Giuseppe Caire,Shlomo Shamai +1 more
TL;DR: Under certain mild conditions, this scheme is found to be throughput-wise asymptotically optimal for both high and low signal-to-noise ratio (SNR), and some numerical results are provided for the ergodic throughput of the simplified zero-forcing scheme in independent Rayleigh fading.
Journal ArticleDOI
Applications of second-order cone programming
TL;DR: In this paper, an efficient primal-dual interior-point method for solving second-order cone programs (SOCP) is presented. But it is not a generalization of interior point methods for convex problems.