Hybrid diversity combined OFDM for LiFi

Mondai, M. Rubaiyat Hossain; Faruque, Rumana Binte

doi:10.1109/ictp.2017.8285945

Cited by 9 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this case, Equal Gain Combining (EGC) gave better BER performance than Maximum Ratio Combining (MRC) [8]. OFDMbased Light Fidelity (LiFi) also provides the opportunity for higher data transmission speeds along with room illumination [9]. BER and SNR analyzation was done for Two-wave with Diffuse Power environment (TWDP) for hybrid diversity models under BPSK and QPSK modulation [10].…”

Section: Fig 1: a Typical Multipath Propagation Modelmentioning

confidence: 99%

Performance Analysis of Hybrid Combining Schemes under Middleton Class-A and SαS Impulsive Noise Model

Halim,

Majumder

2023

Preprint

View full text Add to dashboard Cite

Impulsive noise is a significant concern for Single Input Multiple Output (SIMO) wireless communication systems. This paper evaluates the effectiveness of hybrid combining techniques in mitigating the impact of impulsive noise caused by both man-made and natural phenomena. The Selection combining-Equal Gain Combining (SC-EGC) and Selection Combining Maximal Ratio Combining (SC-MRC) hybrid techniques are considered in the presence of three different noise models: Additive White Gaussian Noise (AWGN), Middleton Class-A impulsive noise model, and Symmetric Alpha Stable (SαS) impulsive noise model for the Rayleigh and Rician fading channels. Bit Error Rate (BER) is used to assess channel performance. The research contribution of this paper is the comprehensive evaluation of hybrid combining techniques in a set of noise models that can arise in wireless communication systems, including both man-made and natural sources of impulsive noise. The findings suggest that impulsive noise has a greater impact on channel performance than AWGN noise, and hybrid combining techniques are more effective in mitigating its effects. The results have significant research significance and practical implications for SIMO wireless communication systems, and can guide the development of more robust and reliable communication systems in the presence of impulsive noise.

show abstract

Section: Fig 1: a Typical Multipath Propagation Modelmentioning

confidence: 99%

Performance Analysis of Hybrid Combining Schemes under Middleton Class-A and SαS Impulsive Noise Model

Halim,

Majumder

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…This system is usually called V2X technology. In the work of [37], they proposed a new modulation format called HDC-OFDM for LiFi by combining the aspects of the existing Diversity-combined asymmetrically clipped optical OFDM DACO-OFDM and DCO-OFDM. The proposed HDC-OFDM has the benefits of the power efficiency of DACO-OFDM and the dimming flexibility of DCO-OFDM.…”

Section: Simulationmentioning

confidence: 99%

A Review on LiFi Network Research: Open Issues, Applications and Future Directions

et al. 2021

View full text Add to dashboard Cite

This paper extensively reviews and analyses Light Fidelity (LiFi), a new technology that uses light to transmit data as a high-speed wireless connection system from a wide spectrum of domains. An in-depth analysis and classifications of pertinent research areas for LiFi networks are presented in this paper. The various aspects constituting this paper include a detailed literature review, proposed classifications, and statistics, which further is deliberated to encompass applications, system architecture, system components, advantages, and disadvantages. LiFi and other technologies are compared, multi-user access techniques used in LiFi networks are investigated and open issues are addressed in detail. The paper is concluded with a comprehensive taxonomy of literature comparison that has served as the basis of the proposed open issues and research trends.

show abstract

“…To obtain unipolar OFDM without any loss of information, there are several derivatives of OFDM, including asymmetrically clipped optical OFDM (ACO-OFDM) [12,13], DC biased optical OFDM (DCO-OFDM) [12,[14][15][16], and pulse amplitude modulated discrete multitone modulation (PAM-DMT) [17,18]. In addition, there are some hybrid forms of OFDM such as asymmetrically clipped DC-biased optical OFDM (ADO-OFDM) [12,16], hybrid asymmetrically clipped optical OFDM (HNC-OFDM) [16], hybrid asymmetrically clipped optical OFDM (HACO-OFDM) [19], hybrid diversity combined OFDM (HDC-OFDM) [16,20], asymmetrical hybrid optical OFDM (AHO) [21], hybrid DC biased asymmetrically clipped pulse amplitude modulated discrete multitone modulation optical OFDM (HDAP-OFDM) [22], and pulse amplitude-modulated hybrid optical OFDM (PHO-OFDM) [23]. In the rest of the paper, the terms ACO-OFDM, DCO-OFDM, AHO-OFDM, HACO-OFDM, HDAP-OFDM, and PHO-OFDM are simplified as ACO, DCO, AHO, HACO, HDAP, and PHO, respectively.…”

Section: Introductionmentioning

confidence: 99%

A Novel OFDM Format and a Machine Learning Based Dimming Control for LiFi

2021

Self Cite

View full text Add to dashboard Cite

This paper proposes a new hybrid orthogonal frequency division multiplexing (OFDM) form termed as DC-biased pulse amplitude modulated optical OFDM (DPO-OFDM) by combining the ideas of the existing DC-biased optical OFDM (DCO-OFDM) and pulse amplitude modulated discrete multitone (PAM-DMT). The analysis indicates that the required DC-bias for DPO-OFDM-based light fidelity (LiFi) depends on the dimming level and the components of the DPO-OFDM. The bit error rate (BER) performance and dimming flexibility of the DPO-OFDM and existing OFDM schemes are evaluated using MATLAB tools. The results show that the proposed DPO-OFDM is power efficient and has a wide dimming range. Furthermore, a switching algorithm is introduced for LiFi, where the individual components of the hybrid OFDM are switched according to a target dimming level. Next, machine learning algorithms are used for the first time to find the appropriate proportions of the hybrid OFDM components. It is shown that polynomial regression of degree 4 can reliably predict the constellation size of the DCO-OFDM component of DPO-OFDM for a given constellation size of PAM-DMT. With the component switching and the machine learning algorithms, DPO-OFDM-based LiFi is power efficient at a wide dimming range.

show abstract

Hybrid diversity combined OFDM for LiFi

Cited by 9 publications

References 22 publications

Performance Analysis of Hybrid Combining Schemes under Middleton Class-A and SαS Impulsive Noise Model

Performance Analysis of Hybrid Combining Schemes under Middleton Class-A and SαS Impulsive Noise Model

A Review on LiFi Network Research: Open Issues, Applications and Future Directions

A Novel OFDM Format and a Machine Learning Based Dimming Control for LiFi

Contact Info

Product

Resources

About