Linear Transceiver Designs for MIMO Indoor Visible Light Communications Under Lighting Constraints

被引:34
作者
Wang, Rui [1 ]
Gao, Qian [2 ]
You, Jiayi [1 ]
Liu, Erwu [1 ]
Wang, Ping [1 ]
Xu, Zhengyuan [2 ,3 ]
Hua, Yingbo [4 ]
机构
[1] Tongji Univ, Dept Informat & Commun, Shanghai 201804, Peoples R China
[2] Univ Sci & Technol China, Chinese Acad Sci, Sch Informat Sci & Technol, Key Lab Wireless Opt Commun, Hefei 230026, Peoples R China
[3] Tsinghua Univ, Shenzhen Grad Sch, Shenzhen 100084, Peoples R China
[4] Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA
基金
中国国家自然科学基金;
关键词
Visible light communication; transceiver design; convex optimization; SYSTEMS; OPTIMIZATION; OFDM;
D O I
10.1109/TCOMM.2017.2672673
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we study linear transceiver designs for indoor visible light communications (VLCs) with multiple light emitting diodes (LEDs). Specifically, we investigate VLCs including white emitting diodes and VLCs including red/green/blue (RGB) LEDs. The transmitter precoding and the offset are jointly designed by considering certain key practical lighting constraints, such as optical power, non-negativeness, and color illumination. Various non-convex transceiver design problems are formulated aiming to minimize total mean-square-error to improve transmission reliability. We show that for multi-input single-output white VLCs, the optimal precoding reduces to a simple LED selection strategy. For multi-input multi-output (MIMO) white VLCs, we prove that the optimization problem with multiple constraints can be equivalently simplified to a problem with single constraint, which enables us to propose efficient algorithms to search local optimal solutions. For MIMO RGB VLCs, by using certain useful transformations, we show that the precoding design is equivalent to covariance matrix design of transmit signals, which can be further transformed to a convex optimization problem. To develop an algorithm to find the optimal solution, we derive the optimal structure of the covariance matrix and show that the optimal solution can be obtained via a water-filling approach. Extensive simulation results are provided to verify the performance of the proposed designs.
引用
收藏
页码:2494 / 2508
页数:15
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