Design and implementation of a real-time CIM-MIMO optical camera communication system

Huang, Wei; Tian, Peng; Xu, Zhengyuan

doi:10.1364/oe.24.024567

Cited by 45 publications

(34 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where X i is the transmitted symbol and Z i is the Gaussian noise. Given all the observations Y i , i = 1, 2, ...N , and the channel matrix H, symbols at the receiver can be estimated by using the maximum likelihood estimator as follows [65] X i = arg max…”

Section: Color Intensity Modulationmentioning

confidence: 99%

Optical camera communications: Survey, use cases, challenges, and future trends

Saeed

Guo

Park

et al. 2019

Physical Communication

View full text Add to dashboard Cite

Recently, a camera or an image sensor receiver based optical wireless communications (OWC) techniques have attracted particular interest in areas such as the internet of things, indoor localization, motion capture, and intelligent transportation systems. As a supplementary technique of high-speed OWC based on photo-detectors, communications hinging on image sensors as receivers do not need much modification to the current infrastructure, such that the implementation complexity and cost are quite low. Therefore, in this paper, we present a comprehensive survey of optical camera communication (OCC) techniques, and their use in localization, navigation, and motion capture. This survey is distinguishable from the existing reviews on this topic by covering multiple aspects of OCC and its various applications. The first part of the paper focuses on the standardization, channel characterization, modulation, coding, synchronization, and signal processing techniques for OCC systems while the second part of the article presents the literature on OCC based localization, navigation, motion capture, and intelligent transportation systems. Finally, in the last part of the paper, we present the challenges and future research directions of OCC.(OCC) [5]. FSO communication systems consist of a laser diode (LD) transmitter and a photodiode (PD) receiver. It typically relies on UV or visible bands, offers high rate transmission in a long distance, and can be used for a backhaul of communication networks. However, FSO communications need a strict alignment, and consequently, their cost at transceivers is high. Also, FSO communication systems suffer from atmospheric turbulence which can be mitigated by using different statistical channel models [6,7,8,9,10], robust modulation techniques [11,12], and accurate pointing and tracking methods [13,14,15]. On the other hand, VLC hinging on visible bands is an LD or light emitting diode (LED) transmitter and PD receiver-based medium-range communication technology. VLC is capable of offering high data rate within a range of tens of meters but does not consider multiple user access. The advancement of VLC systems has also led to enable various location aware indoor applications. Recently, several indoor localization systems based on VLC are proposed [16,17,18,19,20]. Interested readers are referred to [21,22], and the references therein for VLC based indoor localization and tracking methods. Nevertheless, the VLC technology suffers from both limited coverage and interference. Increasing the field of view of the LEDs improves the coverage; however, it increases the interference at the receiver. Signal-to-interference ratio based methods can be used to analyze the coverage and interference problems in VLC systems [23]. Different from VLC, Li-Fi is an LED transmitter based light networking technology that involves multiple user access, bidirectional communications, multi-cell handover, etc. The emerging Li-Fi supports mobile communica-

show abstract

Section: Color Intensity Modulationmentioning

confidence: 99%

Optical camera communications: Survey, use cases, challenges, and future trends

Saeed

Guo

Park

et al. 2019

Physical Communication

View full text Add to dashboard Cite

show abstract

“…OCC using image sensor in a camera can detect signals from LED displays and screens acting as transmitters in public areas such as airports and train stations, shopping malls and outlets, where merchandise and advertisement information can be broadcasted to customers using signage [44]. Recently, within smart home environments, OCC and VLC based motion detection to transmit the control signals [16,45], optical beacon based VLC [46] and color clustered networks [38] were studied.…”

Section: Oiot: Applications and Challengesmentioning

confidence: 99%

Optical Internet of Things within 5G: Applications and Challenges

Teli

Zvánovec

Ghassemlooy

2018

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)

View full text Add to dashboard Cite

The fifth generation (5G) telecommunications standards are being developed to meet the growing demands for high-speed wireless networks (i.e., few tens of Gigabits per second). The 5G standard stems largely from an increasing number of users and plethora of different devices, collectively referred to as smart devices, connecting to a network as part of Internet-of-Things (IoT). A few potential technologies have emerged for 5G such as millimeter waves, massive multiple-input multiple-output, and small cell communications. Although these technologies would satisfy the requirements of 5G, there is a complementary alternative wireless technology of optical wireless communications (OWC), which is being considered. As part of OWC, visible light communications (VLC) and optical camera communications (OCC) are the most attractive options for 5G networks and beyond. VLC with huge frequency spectrum integrated with IoT can open up a wide range of indoor and outdoor applications as part of future smart environments. This paper provides an overview of the all-optical IoT (OIoT) focusing on VLC and OCC based potential applications and challenges as part of 5G standards. Keywords-Optical wireless communications (OWC); visible light communications (VLC); optical camera communications (OCC); Internet of things (IoT); light emitting diodes (LEDs). I.

show abstract

“…The approximated POC output is given as G k,k+1 (m, n) sinc(m + ∆ m ) sinc(n + ∆ n ) (8) and by varying ∆ m and ∆ n , maximization can be calculated. Note that estimation of the autocorrelation POC output is denoted to simply the discussion.…”

Section: Sub-pixel Poc Range Estimationmentioning

confidence: 99%

“…As shown in Fig. 1, data transmitted from LED traffic lights, signage, pavement markers, headlights, and tail lights can be received using the image sensor [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] . An LED traffic light transmits safety information to cars.…”

Section: Introductionmentioning

confidence: 99%

V2X communications with an image sensor

Yamazato

2017

J. Commun. Inf. Netw.

View full text Add to dashboard Cite

This paper introduces infrastructure-to-vehicle and vehicle-to-vehicle communications using VLC. A VLC coupled with a high-speed image sensor is introduced (i.e., image sensor communication). The high-speed image sensors provide eyes for autonomous and connected vehicles. VLC imparts data reception capability to image sensors with necessary functions, which can then be provided to autonomous and connected vehicles. In this paper, some of our research on coupling VLC to high-speed image sensors is introduced, including our key findings: the basics of ISC, a vehicle motion model, and range estimation.

show abstract

Design and implementation of a real-time CIM-MIMO optical camera communication system

Cited by 45 publications

References 6 publications

Optical camera communications: Survey, use cases, challenges, and future trends

Optical camera communications: Survey, use cases, challenges, and future trends

Optical Internet of Things within 5G: Applications and Challenges

V2X communications with an image sensor

Contact Info

Product

Resources

About