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Angle-Based Localization and Security Enhancement in Optical Camera Communication
Md. Faisal Ahmed,Md. Shahjalal,Md. Morshed Alam,Yeong Min Jang 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
In this article, we have designed an optical camera communication-based system that monitor the temperature and status of the valve position in the factory environment. We have used an AM2302 temperature sensor to collect the temperature data from the surrounding and transmit as an optical signal using LED. The image sensor received the optical signal and retrieve data based on rolling shutter effect of the camera. Neural network based LED detection is perform to find exact position of the LED in image sensor. Before data decoding, the output signal is processed using the unique key to enhance the security protocol. The entire process is performed in Python 3.8 environment.
Shahjalal, Md.,Hossan, Md. Tanvir,Hasan, Moh. Khalid,Chowdhury, Mostafa Zaman,Le, Nam Tuan,Jang, Yeong Min WILEY INTERSCIENCE 2018 WIRELESS COMMUNICATIONS AND MOBILE COMPUTING Vol.2018 No.-
<P>Optical camera communication (OCC) exhibits considerable importance nowadays in various indoor camera based services such as smart home and robot-based automation. An android smart phone camera that is mounted on a mobile robot (MR) offers a uniform communication distance when the camera remains at the same level that can reduce the communication error rate. Indoor mobile robot navigation (MRN) is considered to be a promising OCC application in which the white light emitting diodes (LEDs) and an MR camera are used as transmitters and receiver, respectively. Positioning is a key issue in MRN systems in terms of accuracy, data rate, and distance. We propose an indoor navigation and positioning combined algorithm and further evaluate its performance. An android application is developed to support data acquisition from multiple simultaneous transmitter links. Experimentally, we received data from four links which are required to ensure a higher positioning accuracy.</P>
Enabling technologies for AI empowered 6G massive radio access networks
Md. Shahjalal,Woojun Kim,Waqas Khalid,Seokjae Moon,Murad Khan,ShuZhi Liu,Suhyeon Lim,Eunjin Kim,Deok-Won Yun,Joohyun Lee,Won-Cheol Lee,Seung-Hoon Hwang,Dongkyun Kim,Jang-Won Lee,Heejung Yu,Youngchul S 한국통신학회 2023 ICT Express Vol.9 No.3
Predictably, the upcoming six generation (6G) networks demand ultra-massive interconnectivity comprising densely congested sustainable small-to-tiny networks. The conventional radio access network (RAN) will be redesigned to provide the necessary intelligence in all areas to meet required network flexibility, full coverage, and massive access. In this respect, this paper focuses on intelligent massive RAN (mRAN) architecture and key technologies fulfilling the requirements. Particularly, we investigate potential AI algorithms for network and resource management issues in 6G mRAN. Furthermore, we summarize the research issues in edge technologies and physical layer intelligence on 6G network architecture.