Distributed MIMO Experiments for LiFi in a Conference Room

Mana, Sreelal Maravanchery; Kouhini, Sepideh Mohammadi; Hellwig, Peter; Hilt, J. Zach; Berenguer, Pablo Wilke; Jungnickel, Volker

doi:10.1109/csndsp49049.2020.9249526

Cited by 10 publications

(9 citation statements)

References 12 publications

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“…The results in Fig. 5 show that the principal experimental findings in [6] can be confirmed by means of ray tracing.…”

Section: B Singular Valuessupporting

confidence: 52%

“…In more recent works [4]- [6], experimental measurements of LiFi channels are reported. For example, in [4], a demonstration of a MIMO LiFi system using a cubic receiver has been proposed showing that cubic receiver design reduces the correlation of the MIMO channel matrix.…”

Section: Introductionmentioning

confidence: 99%

“…A field measurement for MIMO LiFi in a manufacturing cell has been reported in [5] showing that deployment of multiple distributed links allows spatial diversity and reduces the impact of shadowing and blockage to increase the robustness of LiFi systems. In [6], it was demonstrated that a similar setting can also be used to transport multiple data streams to multiple users in parallel. Measurements require dedicated hardware and costly equipment while characterizing LiFi channels with a realistic simulation methodology is more flexible.…”

Section: Introductionmentioning

confidence: 99%

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Distributed MIMO for Li-Fi: Channel Measurements, Ray Tracing and Throughput Analysis

Eldeeb¹,

Mana

Jungnickel

et al. 2021

IEEE Photon. Technol. Lett.

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LiFi has been considered as a promising candidate for future wireless indoor networks. The IEEE P802.15.13 and P802.11bb standardization groups agreed upon channel models generated using the non-sequential ray tracing approach of OpticStudio. In this paper, in order to validate the channel modelling approach, at first 2 × 2 multiple-input multiple-output (MIMO) channel measurements are carried out over 200 MHz bandwidth using a channel sounder. The experimental scenario is also modeled in 3D by applying ray tracing. The obtained results indicate good agreement between simulations and measured channel impulse responses, from which parameters such as path loss and delay spread are derived. After validating the channel modeling approach, we investigate the singular values and the effect of user mobility onto the performance in a 4 × 4 distributed multi-user MIMO scenario.

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“…The results in Fig. 5 show that the principal experimental findings in [6] can be confirmed by means of ray tracing.…”

Section: B Singular Valuessupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed MIMO for Li-Fi: Channel Measurements, Ray Tracing and Throughput Analysis

Eldeeb¹,

Mana

Jungnickel

et al. 2021

IEEE Photon. Technol. Lett.

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“…We assume that the maximum achievable of our LiFi modules is 45 dB at the reference distance. In our previous channel measurements [35], using the same optical frontends, we observed that signals having channel gain below 45 dB are not detectable. Thus, 45 dB is the maximum achievable SNR when using a constant envelope signal.…”

Section: A Tdma With One Best Linkmentioning

confidence: 71%

“…Note that, access points and users have to be selected carefully. They should be sufficiently distant, as demonstrated in [35]. Usually, different MIMO modes are available at the medium access control (MAC) layer.…”

Section: Distributed Mu-mimo Resultsmentioning

confidence: 99%

Distributed Multiuser MIMO for LiFi: Experiments in an Operating Room

Mana

Jungnickel

Bober

et al. 2021

J. Lightwave Technol.

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Networked optical wireless communication, also denoted as LiFi, is expected to play an important role in so-called smart hospitals. In this paper, we present the first experimental study of LiFi in an operating room at Motol University Hospital in Prague, Czech Republic. First, we perform one-to-one measurements using an optical transmitter (Tx) and receiver (Rx) and observe that channels with a free LOS provide sufficient signal strength for mobile communication inside the operating room. Then we combine the individual LOS links into a multiple-input multiple-output (MIMO) link using four distributed transmitters representing a wireless infrastructure, and six distributed receivers representing medical devices. In this configuration, at least two strong singular values of the MIMO channel matrix are observed which allow spatial multiplexing. By appropriately clustering the transmitters and selecting the users, mobile devices can be served in parallel. For data transmission, several multiplexing schemes such as time-division multiple access (TDMA) with one and two best links, TDMA with spatial reuse, space-division multiple access (SDMA) with two best links with and without zero forcing (ZF) are considered. Results show that SDMA with ZF increases the data rate by 2.7 times compared to baseline TDMA, resulting in a total data rate of 600 Mbit/s.

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