Abstract
We discussed the BER performances versus SNR variation for every level of interference of LED neighbours in MIMO VLC network serving 6 user equipments (UEs). The MIMO configuration is 2x3 and 3x2, based on NHS-OFDM and NOMA schemes. The required power ratio for a successful NOMA of MIMO-2x3 is 1:2:4 while MIMO-3x2 configuration needs 1:2 of power ratio. To obtain BER below FEC limit, the minimum SNR should be above 20 dB for each MIMO configuration with the maximum interference level allowed is 3% for MIMO-3x2 and 1 % for MIMO-2x3. In case where the SNR is 30 dB, the maximum interference level allowed are 13% and 10% for MIMO-3x2 and MIMO-2x3, respectively, to maintain the BER below FEC limit.
Original language | English |
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Title of host publication | 2021 4th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 384-388 |
Number of pages | 5 |
ISBN (Electronic) | 9781665401517 |
DOIs | |
State | Published - 2021 |
Externally published | Yes |
Event | 4th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2021 - Virtual, Yogyakarta, Indonesia Duration: 16 Dec 2021 → … |
Publication series
Name | 2021 4th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2021 |
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Conference
Conference | 4th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2021 |
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Country/Territory | Indonesia |
City | Virtual, Yogyakarta |
Period | 16/12/21 → … |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Orthogonal Frequency Division Multiplexing (OFDM)
- Visible light communication (VLC)
- light emitting diode (LED)
- multiple-input multiple output (MIMO)
- non-orthogonal multiple access (NOMA)
- optical communications
ASJC Scopus subject areas
- Software
- Information Systems and Management
- Safety, Risk, Reliability and Quality
- Education
- Computer Networks and Communications
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Signal Processing