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Joint Transceiver and Offset Design for Visible Light Communications with Input-dependent Shot Noise

机译:可见光通信的联合收发器和偏移设计   具有输入相关的散粒噪声

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摘要

In this paper, we investigate the problem of the joint transceiver and offsetdesign (JTOD) for point-to-point multiple-input-multiple-output (MIMO) andmultiple user multiple-input-single-output (MU-MISO) visible lightcommunication (VLC) systems. Both uplink and downlink multi-user scenarios areconsidered. The shot noise induced by the incoming signals is considered,leading to a more realistic MIMO VLC channel model. Under key lightingconstraints, we formulate non-convex optimization problems aiming at minimizingthe sum mean squared error. To optimize the transceiver and the offset jointly,a gradient projection based procedure is resorted to. When only imperfectchannel state information is available, a semidefinite programming (SDP) basedscheme is proposed to obtain robust transceiver and offset. The proposed methodis shown to non-trivially outperform the conventional scaled zero forcing (ZF)and singular value decomposition (SVD) based equalization methods. The robustscheme works particularly well when the signal is much stronger than the noise.
机译:在本文中,我们研究了点对点多输入多输出(MIMO)和多用户多输入单输出(MU-MISO)可见光通信的联合收发器和偏移设计(JTOD)问题( VLC)系统。考虑了上行和下行多用户场景。考虑到输入信号引起的散粒噪声,从而导致了更加逼真的MIMO VLC信道模型。在关键照明约束下,我们制定了非凸优化问题,旨在最小化均方误差。为了共同优化收发器和偏移,采用基于梯度投影的程序。当只有不完美的信道状态信息可用时,提出一种基于半定编程(SDP)的方案以获得鲁棒的收发器和偏移。所提出的方法显示出明显优于传统的基于比例缩放的零强迫(ZF)和奇异值分解(SVD)的均衡方法。当信号比噪声强得多时,鲁棒方案特别有效。

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