Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise

被引:24
|
作者
Wang, Jin-Yuan [1 ,2 ]
Fu, Xian-Tao [1 ]
Lu, Rong-Rong [1 ]
Wang, Jun-Bo [3 ]
Lin, Min [1 ]
Cheng, Julian [4 ]
机构
[1] Nanjing Univ Posts & Telecommun, Key Lab Broadband Wireless Commun & Sensor Networ, Nanjing 210003, Peoples R China
[2] East China Normal Univ, Shanghai Key Lab Trustworthy Comp, Shanghai 200062, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211111, Peoples R China
[4] Univ British Columbia, Sch Engn, Kelowna, BC V1V 1V7, Canada
基金
中国国家自然科学基金;
关键词
Visible light communication; Optical transmitters; Optical receivers; Optical noise; Entropy; Channel capacity; Adaptive optics; signal-dependent Gaussian noise; tight bounds; visible light communications;
D O I
10.1109/TWC.2020.3035615
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
Channel capacity bounds are derived for a point-to-point indoor visible light communications (VLC) system with signal-dependent Gaussian noise. Considering both illumination and communication, the non-negative input of VLC is constrained by peak and average optical intensity constraints. Two scenarios are taken into account: one scenario has both average and peak optical intensity constraints, and the other scenario has only average optical intensity constraint. For both two scenarios, we derive closed-from expressions of capacity lower and upper bounds. Specifically, the capacity lower bound is derived by using the variational method and the property that the output entropy is invariably larger than the input entropy. The capacity upper bound is obtained by utilizing the dual expression of capacity and the principle of "capacity-achieving source distributions that escape to infinity". Moreover, the asymptotic analysis shows that the asymptotic performance gap between the capacity lower and upper bounds approaches zero. Finally, all derived capacity bounds are confirmed using numerical results.
引用
收藏
页码:1700 / 1713
页数:14
相关论文
共 50 条
  • [21] ESTIMATION IN SIGNAL-DEPENDENT NOISE
    FROEHLICH, GK
    WALKUP, JF
    ASHER, RB
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1978, 68 (10) : 1385 - 1385
  • [22] Adaptive suppression of CCD signal-dependent noise in light space
    Faraji, H
    MacLean, J
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE AND MULTIDIMENSIONAL SIGNAL PROCESSING SPECIAL SESSIONS, 2004, : 217 - 220
  • [23] Band-Limited Nyquist Pulse Design for Visible Light Communication Systems With Signal-Dependent Noise
    Wang, Yuan
    Wei, Jiaqi
    Huang, Nuo
    Li, Xu
    Gong, Chen
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (16): : 27651 - 27663
  • [24] Aspects of signal-dependent noise characterization
    Heine, JJ
    Behera, M
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2006, 23 (04) : 806 - 815
  • [25] OPTIMAL ESTIMATION IN SIGNAL-DEPENDENT NOISE
    FROEHLICH, GK
    WALKUP, JF
    ASHER, RB
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1977, 67 (10) : 1368 - 1368
  • [26] Pattern-dependent noise prediction in signal-dependent noise
    Moon, J
    Park, J
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2001, 19 (04) : 730 - 743
  • [27] OPTIMAL ESTIMATION IN SIGNAL-DEPENDENT NOISE
    FROEHLICH, GK
    WALKUP, JF
    ASHER, RB
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1978, 68 (12) : 1665 - 1672
  • [28] Image denoising for signal-dependent noise
    Hirakawa, K
    Parks, TW
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 29 - 32
  • [29] Image compression in signal-dependent noise
    Shahnaz, R
    Walkup, JF
    Krile, TF
    APPLIED OPTICS, 1999, 38 (26) : 5560 - 5567
  • [30] Granger causality with signal-dependent noise
    Luo, Qiang
    Ge, Tian
    Feng, Jianfeng
    NEUROIMAGE, 2011, 57 (04) : 1422 - 1429