Flexible LED Index Modulation for MIMO Optical Wireless Communications

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Date

2020

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Institute of Electrical and Electronics Engineers Inc.

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Green Open Access

Yes

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Abstract

The limited bandwidth of optical wireless communication (OWC) front-end devices motivates the use of multipleinput- multiple-output (MIMO) techniques to enhance data rates. It is known that very high multiplexing gains can be achieved by spatial multiplexing (SMX) at the cost of prohibitive detection complexity. Alternatively, in spatial modulation (SM), a single light emitting diode (LED) is activated per time instance where information is carried by both the signal and the LED index. Since only one LED is active, both the transmitter (TX) and receiver (RX) complexity reduce significantly while retaining the information transmission in the spatial domain. However, this simplified TX utilization approach leads SM to suffer from significant spectral efficiency losses compared to SMX. In this paper, we propose a technique that benefits from the advantages of both systems. Accordingly, the proposed flexible LED index modulation (FLIM) technique harnesses the inactive state of the LEDs as a transmit symbol. Therefore, the number of active LEDs changes in each transmission, unlike conventional techniques. Moreover, the system complexity is reduced by employing a linear minimum mean squared error (MMSE) equalizer and an angle perturbed receiver. Numerical results show that FLIM outperforms the reference systems by at least 6 dB in the low and medium/high spectral efficiency regions.

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Keywords

minimum mean square equalizer (MMSE), multiple-input-multiple-output (MIMO), Optical wireless communications (OWC), spatial modulation (SM), Signal Processing (eess.SP), FOS: Computer and information sciences, minimum mean square equalizer (MMSE), Computer Science - Information Theory, Information Theory (cs.IT), multiple-input-multiple-output (MIMO), spatial modulation (SM), Optical wireless communications (OWC), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Fields of Science

05 social sciences, 02 engineering and technology, 0508 media and communications, 0202 electrical engineering, electronic engineering, information engineering

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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

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1

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7
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3

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184

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