Avoiding Interlight Sources Interference In Optical Camera Communication

• doi: 10.1109/GLOBECOM46510.2021.9685373
• title: Avoiding Inter-Light Sources Interference in Optical Camera Communication
• publisher: IEEE
• isbn: 978-1-7281-8105-9
• issn:
• rank: 1697
• access_type: LOCKED
• content_type: Conferences
• abstract: Optical Camera Communication (OCC) is a promising solution for future wireless communication thanks to the advantages including security, license, and cost-efficiency. Widely available smart devices with em-bedded cameras such as smartphones, tablets, and digital cameras can be employed as receivers in OCC with-out modifying hardware. A complementary metal-oxide-semiconductor (CMOS) sensor in a camera can receive optical signals from multiple light sources at the same time. Since the light source occupies a certain area in the image plane, the received signal powers differ among the corresponding pixels. When the number of light sources increase, the signals from a light source can be blocked by another light source or affected by the blooming effect of other optical signals. However, there has never been a general model for avoiding such interference in OCC. Therefore, in this paper we propose a general model for avoiding inter-light sources interference. The proposed model formulates the constraints with perspective transformation based on the parameters of an image sensor and a camera. We also provide preliminary experimental results to validate the proposed model.
• article_number: 9685373
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9685373
• html_url: https://ieeexplore.ieee.org/document/9685373/
• abstract_url: https://ieeexplore.ieee.org/document/9685373/
• publication_title: 2021 IEEE Global Communications Conference (GLOBECOM)
• conference_location: Madrid, Spain
• conference_dates: 7-11 Dec. 2021
• publication_number: 9685019
• is_number: 9685006
• publication_year: 2021
• publication_date: 7-11 Dec. 2021
• start_page: 1
• end_page: 6
• citing_paper_count: 6
• citing_patent_count: 0
• download_count: 274
• insert_date: 20220202
• index_terms:
  • ieee_terms:
    • Image sensors
    • Interference
    • Smart homes
    • Cameras
    • Optical imaging
    • Optical receivers
    • Optical sensors
  • author_terms:
    • Visible light communication
    • wireless communication
    • cameras
    • CMOS image sensors
  • dynamic_index_terms:
    • Optical Camera Communication
    • Light Source
    • Digital Camera
    • Image Plane
    • Image Sensor
    • Camera Sensor
    • Optical Signal
    • Sensor Parameters
    • Received Signal Power
    • Perspective Transformation
    • Convolutional Neural Network
    • Light-emitting Diodes
    • LED Light
    • Light Emission
    • LEDs
    • Artificial Neural Network
    • Neural Network Model
    • Detection Accuracy
    • Distance Function
    • Blocking Effect
    • Bit Error Rate
    • Bit-error-rate
    • Bit Error Ratio
    • Bit Error
    • Dark Environment
    • Forward Error Correction
    • Channel Coding
    • Error-correcting Codes
    • Error Correction Code
    • Global Coordinate System
    • LED Panel
    • Red-green-blue
    • Red, Green, Blue
    • Diffuse Light
    • Transmission Distance
    • Camera Coordinate System
    • Inter-symbol Interference
    • LED Array
    • Reduction In Interference
    • Source Size
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-7281-8105-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-7281-8104-2, isbnType: New-2005
• authors:
  • Author Name: Yukito Onodera
    Affiliation: Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/37088831467
    ID: 37088831467
    Order: 1
    Author Affiliations:
    • Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Tokyo, Japan
  • Author Name: Yu Nakayama
    Affiliation: Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Tokyo, Japan
    Author URL: https://ieeexplore.ieee.org/author/38235523000
    ID: 38235523000
    Order: 2
    Author Affiliations:
    • Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Tokyo, Japan
  • Author Name: Hiroki Takano
    Affiliation: Graduate School of Engineering, Osaka University, Osaka, Japan
    Author URL: https://ieeexplore.ieee.org/author/37088571261
    ID: 37088571261
    Order: 3
    Author Affiliations:
    • Graduate School of Engineering, Osaka University, Osaka, Japan
  • Author Name: Daisuke Hisano
    Affiliation: Graduate School of Engineering, Osaka University, Osaka, Japan
    Author URL: https://ieeexplore.ieee.org/author/37085804159
    ID: 37085804159
    Order: 4
    Author Affiliations:
    • Graduate School of Engineering, Osaka University, Osaka, Japan

Image Sensor

• sensor_type: CMOS
• resolution: 1920x1080
• dynamic_range: various factors may affect dynamic range
• pixel_size: 3µm
• dark_current: not specified

Optical Data

• focal_length: 5mm
• aperture: not specified
• field_of_view: 67°x47° or 63°x36° for two different cameras
• distortion: not specified

Performance Metrics

• frame_rate: 60fps

Applications & Benefits

• cell_imaging: eHealth, smart home, and drone-based ad hoc networks.
• benefits: Inexpensive and secure communication, versatility for multiple applications.

Supporting Organizations

• supported_by: Japan Science and Technology Agency, GMO Foundation

Manuscript Details

• publication_date: 7-11 Dec. 2021

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • noise
  • signal_to_noise_ratio
  • dynamic_range
  • sensitivity
  • power_consumption
  • dark_current

Processed JSON Filename

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