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Visible light communication

Visible light communication (VLC) is a technology that transmits data using the visible light spectrum, spanning wavelengths from approximately 400 to 800 nanometers, by modulating the intensity of light emitted from sources such as light-emitting diodes (LEDs), with photodetectors or image sensors serving as receivers to decode the signals. This approach leverages existing lighting infrastructure for dual purposes of illumination and high-speed data transfer, offering an alternative to traditional (RF) systems. The roots of light-based communication trace back to ancient civilizations, such as the who used polished bronze shields to reflect sunlight for signaling over distances, and extend to 19th-century innovations like Alexander Graham Bell's in the 1880s, which modulated sunlight for voice transmission. Modern VLC emerged in the early , driven by advancements in and efficient LEDs, with key milestones including the first demonstrations in around 2000 and the initial establishment of the IEEE 802.15.7 standard in 2011, with revisions in 2018 and an amendment in 2024, to define and medium access specifications for short-range optical wireless communications. VLC provides significant advantages over RF technologies, including access to an unlicensed bandwidth of about 300 terahertz in the , complete immunity to , and inherent security since light signals do not penetrate opaque walls. Additionally, it enables energy-efficient operation, with LED-based systems consuming up to 75% less power than traditional incandescent lamps while supporting data rates from gigabits per second in practical deployments to over 10 gigabits per second in advanced setups, and theoretical potentials exceeding 15 gigabits per second or even terabits per second; as of 2025, laboratory demonstrations have achieved over 50 Gbps. Notable applications of VLC encompass indoor networking for high-speed in environments like offices and hospitals, vehicular-to-vehicular (V2V) and infrastructure-to-vehicle (I2V) communications to enhance traffic safety and autonomous driving, underwater data transmission where RF signals falter, and integration with () devices in smart homes and cities for positioning accurate to centimeters. Despite these benefits, VLC systems contend with challenges such as the necessity for , which limits range and coverage; from ambient light sources like ; and issues with and shadowing in dynamic environments. Ongoing research focuses on hybrid VLC-RF architectures and advanced modulation techniques, such as (OFDM), to mitigate these limitations and broaden practical adoption.

Fundamentals

Definition and Principles

Visible light communication (VLC) is a form of bidirectional, high-speed wireless communication that utilizes the visible light spectrum, spanning wavelengths from approximately 380 nm to 780 nm, to transmit data via light sources such as light-emitting diodes (LEDs). These LEDs serve the dual purpose of providing illumination while simultaneously encoding and transmitting information, enabling data rates that can reach several gigabits per second in controlled environments. Unlike traditional radio frequency (RF) systems, VLC operates without the need for spectrum licensing, leveraging the vast, unregulated bandwidth of the visible light spectrum, which extends up to approximately 300 THz. The fundamental principles of VLC rely on intensity modulation/direct detection (IM/DD), where the light intensity from the source is rapidly modulated to encode data without producing perceptible flicker to the , typically by operating at frequencies above 200 Hz. Propagation in VLC primarily occurs via line-of-sight (LOS) paths, where the transmitter and maintain a direct optical link to ensure reliable signal reception, although non-line-of-sight (NLOS) components can contribute in indoor settings through reflections. At the , photodetectors such as photodiodes convert the modulated optical signal back into an electrical signal for data decoding. This approach exploits the high bandwidth of LEDs, often exceeding hundreds of MHz, allowing VLC to achieve superior data rates compared to RF alternatives constrained by licensed and . A key metric for the theoretical maximum data rate in VLC systems is derived from Shannon's capacity formula, adapted for optical IM/DD channels:
R = \frac{1}{2} B \log_2 (1 + \text{SNR})
where R is the data rate, B is the channel bandwidth, and SNR is the signal-to-noise ratio. This expression accounts for the baseband nature of the optical signal and the real-valued constraints of intensity modulation, providing an upper bound on achievable throughput under additive white Gaussian noise assumptions.
VLC distinguishes itself from infrared (IR) or ultraviolet (UV) communication systems by its exclusive use of the visible spectrum, which inherently supports simultaneous illumination and data transfer, thereby integrating seamlessly into existing lighting infrastructure without compromising visual comfort.

System Components

A visible light communication (VLC) system primarily consists of a transmitter that modulates data onto light signals from visible-spectrum sources, a channel through which the light propagates, and a receiver that detects and demodulates the signals. The transmitter typically employs light-emitting diodes (LEDs) as the core light sources, often white LEDs generated by combining a blue LED with a yellow phosphor coating to produce broadband visible light in the 400-700 nm range. These LEDs are driven by electronic circuits that enable intensity modulation of the light output to encode data, while optical elements such as lenses or collimators shape the beam to direct the signal toward the receiver and improve efficiency. At the receiver end, photodetectors convert the incoming optical signals back into electrical form, with PIN photodiodes or avalanche photodiodes (APDs) commonly used due to their sensitivity in the . These are paired with transimpedance amplifiers to boost the weak , optical filters to suppress ambient light interference and select specific wavelengths, and analog-to-digital converters (ADCs) to digitize the signal for further processing. The overall system architecture integrates these components into a structure that includes a feeding into units at the transmitter—where electrical signals are superimposed on the LED current—followed by the optical , and then and error correction at the receiver. coding, such as Reed-Solomon or convolutional codes, is incorporated to mitigate transmission errors from noise or multipath effects. For broader connectivity, VLC systems often hybridize with radio-frequency (RF) networks, allowing seamless between optical and links in environments like indoor networks. Key design challenges in these components include the limited bandwidth of standard LEDs, typically ranging from 10-100 MHz due to carrier lifetimes and time constants, which constrains data rates unless advanced equalization is applied. Photodetectors in the visible range exhibit responsivities of 0.4-0.7 A/W, balancing sensitivity against noise from background illumination. An illustrative example is the use of RGB LEDs in the transmitter, where red, green, and blue channels enable multi-channel transmission through , separating signals at the receiver via color filters to boost overall capacity without increasing total light intensity.

History and Development

Early Concepts and Experiments

The precursors to modern visible light communication (VLC) trace back to 19th-century optical telegraphy systems, such as semaphore networks developed by Claude Chappe in France during the 1790s and expanded across Europe in the early 1800s. These systems used visual signals from mechanical arms or flags on towers to transmit messages over long distances, relying on line-of-sight propagation of visible light reflected or contrasted against the sky, achieving reliable communication rates equivalent to several characters per minute under clear conditions. A significant advancement came in 1880 with and Charles Sumner Tainter's invention of the , which modulated a beam of sunlight using a vibrating mirror to transmit articulate speech wirelessly over distances up to 213 meters. The receiver employed a photoconductive cell to convert the varying light intensity back into electrical signals for audio reproduction, demonstrating the feasibility of analog modulation in visible light for voice communication despite limitations from weather and ambient light interference. Theoretical foundations for digital VLC were laid in the mid-20th century by Claude Shannon's seminal 1948 work, "," which established information capacity limits for noisy channels, including optical ones, enabling the quantification of reliable data rates through concepts like and . This framework proved essential for later digital encoding in light-based systems, showing that error-free transmission is possible below the channel capacity even with noise. In the late , the advent of efficient light-emitting diodes (LEDs) in the spurred initial experiments on modulating visible light for data transmission, building on LED improvements for higher switching speeds. By 2000, researchers at Keio University's Nakagawa Laboratory in proposed an indoor VLC system using white LEDs as dual-purpose illuminants and transmitters, simulating communication links integrated with power lines. A key experimental demonstration followed in 2003 by , Komine, Haruyama, and Nakagawa, who implemented an indoor VLC setup with multiple white LEDs, achieving a data rate of 1 Mbps over 1 meter using on-off keying modulation while maintaining room illumination levels above 300 . This work highlighted the potential for VLC in short-range networks, with simulations indicating scalability to higher rates under optimized conditions.

Key Milestones and Commercialization

The IEEE 802.15.7 standard, released in 2011, represented a pivotal advancement in (VLC) by establishing the first international framework for short-range optical networks using , with support for data rates up to 96 Mb/s through modulated LED sources that maintain illumination functionality. The standard was revised as IEEE 802.15.7-2018 in April 2019 to improve and specifications, and further amended as IEEE 802.15.7a in February 2025 to support enhanced data rates and broader applications. Building on this foundation, pureLiFi was founded in 2012 by as a spin-off from the , pioneering the commercialization of technology—a bidirectional system for secure, high-speed networking without radio interference. The company launched its first commercial product, the Li-1st kit, in 2014, enabling practical deployments in enterprise environments for encrypted data transmission over light. Subsequent milestones highlighted VLC's potential for ultra-high speeds and integration into emerging networks. In 2019, researchers demonstrated a 35 Gb/s white-light link over wide areas using laser diodes, showcasing scalability for indoor applications while preserving lighting quality. Commercialization efforts gained traction in the mid-2010s, with trials focusing on and location-based services. In 2017, two-way systems were demonstrated in settings to enable precise indoor positioning, and announced plans to adopt the technology for shopper navigation and inventory tracking via modulated store lighting. In , early integrations appeared in lighting systems, such as demonstrations using LEDs for passenger connectivity supplements, though full-scale adoption remained limited to prototypes by 2025. The VLC patent landscape expanded rapidly from the 2010s, reflecting industry investment in practical implementations. By 2023, over 30 patents were held by Oledcomm alone, focusing on Li-Fi transceivers and modulation techniques.

Applications

Indoor and Consumer Uses

Visible light communication (VLC) finds prominent applications in indoor environments, particularly in homes and offices where radio frequency (RF) bandwidth congestion poses challenges to traditional Wi-Fi networks. Li-Fi systems, a subset of VLC, leverage existing ceiling-mounted LED lighting infrastructure to deliver high-speed wireless connectivity, effectively replacing or supplementing Wi-Fi in dense settings. For instance, these systems can achieve uplink speeds of approximately 100 Mb/s per room by modulating the light output of standard LEDs, enabling seamless data transmission without additional wiring. This approach is particularly beneficial in multi-occupant spaces like offices, where it provides dedicated, interference-free channels for multiple users under the same light fixture. Consumer devices have increasingly incorporated VLC capabilities, allowing everyday gadgets to serve as receivers in indoor networks. Smartphones, equipped with front-facing cameras, can decode VLC signals by capturing rapid light fluctuations from LEDs, utilizing Android's Camera2 API introduced in 2015 for enhanced control. This enables communication between LEDs and mobile devices, supporting applications like data offloading from cellular networks in homes. Such integration democratizes VLC access, as no specialized hardware is required beyond standard smartphone cameras, which process visible light patterns at frame rates sufficient for low-to-medium data rates. In location-based services, VLC excels in providing precise indoor positioning through LED beacons that emit uniquely modulated flickering patterns, detectable by nearby receivers. These systems achieve accuracies down to 10 cm by triangulating signals from multiple ceiling or wall-mounted LEDs, outperforming RF-based alternatives in enclosed spaces without GPS coverage. This precision supports (AR) experiences in consumer venues, such as museums where visitors use apps to overlay historical information on exhibits via location-aware light signals, or retail stores for personalized navigation and product recommendations. By embedding positioning data directly into ambient lighting, VLC enhances user engagement without deploying separate hardware. Healthcare settings represent another key indoor application, where VLC facilitates infection-safe communication by confining signals to line-of-sight paths, minimizing electromagnetic propagation that could compromise sterile environments. In hospitals, VLC employs visible light from filtered LEDs to transmit data, avoiding RF interference with sensitive medical equipment like MRI machines or pacemakers. This technology supports wireless monitoring of patient vitals or device coordination in operating rooms, reducing the risk of disruptions in RF-prohibited zones while maintaining data security through light's non-penetrating nature. A notable consumer example is the integration of in smart home ecosystems, as demonstrated in prototypes for enhanced device control. In 2024, research prototypes utilized Li-Fi-enabled LED lamps to enable seamless, high-speed communication between home appliances and hubs, achieving reliable orchestration without RF spectrum reliance. Such implementations highlight VLC's potential for energy-efficient, secure connectivity in everyday living spaces.

Outdoor and Industrial Applications

Visible light communication (VLC) enables robust vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) links in outdoor environments by modulating data onto headlamps and taillights, supporting traffic safety applications such as collision avoidance and speed advisories. These systems leverage the inherent visibility of vehicle lights to transmit safety-critical information in real-time, complementing (RF) technologies in scenarios where line-of-sight is available. For instance, camera-based receivers can decode signals from LED taillights, achieving reliable V2V communication even under varying ambient light conditions. Demonstrations have shown data rates of 10 Mb/s over distances up to 66 m for infrastructure-to-vehicle links, with models indicating potential for 10 Mb/s at approximately 100 m in moderate . Underwater VLC utilizes blue-green wavelengths (450–550 nm) for (AUV) communications, where RF propagation is limited to short ranges due to high by water. These wavelengths minimize in clear conditions, allowing signal penetration up to 100 m and enabling applications like AUV coordination, data relay, and updates. Full-duplex systems based on have demonstrated bidirectional links over 100 m in controlled underwater channels, supporting real-time operations where acoustic alternatives suffer from low bandwidth. Multiple-input multiple-output configurations further enhance reliability for AUV swarms by mitigating turbulence-induced fading. In industrial settings, VLC facilitates electromagnetic interference (EMI)-free wireless connectivity for factory automation, particularly in zones with heavy machinery or robotic systems where RF signals can disrupt operations. By using overhead LED fixtures or machine-mounted lights, VLC enables precise coordination among robots and sensors without licensing requirements or interference risks. Research has shown VLC systems achieving data rates of up to 750 Mb/s in industrial production environments. This EMI immunity is critical for high-precision , as demonstrated in prototypes integrating VLC with industrial IoT protocols for robust, short-range data exchange. Smart city deployments leverage streetlights as VLC access points to offload data from urban sensors, reducing RF spectrum congestion in densely populated areas. These systems transmit environmental, , or data via modulated LED streetlights, providing high-capacity links to nearby devices like smart meters or cameras without expanding cellular infrastructure. VLC streetlight networks have been modeled to support data at rates exceeding 10 Mb/s per link, easing pressures in RF-overloaded urban cores. By integrating with existing lighting, this approach enhances scalability for city-wide monitoring while maintaining .

Technical Implementation

Modulation and Transmission Techniques

Visible light communication (VLC) relies on intensity modulation of light sources, such as LEDs, to encode and transmit data, necessitating techniques that maintain illumination quality while achieving reliable communication. Modulation schemes in VLC must account for the unipolar, real-valued nature of optical signals, the limited of LEDs (typically 1-20 MHz), and constraints like dimming support and avoidance. These techniques are broadly categorized into single-carrier, multi-carrier, and pulse-based methods, each optimized for different trade-offs between data rate, complexity, and system requirements. Single-carrier techniques, such as (ASK), directly modulate the amplitude of the signal to represent data symbols. In ASK, the instantaneous intensity of the light varies proportionally to the modulating signal, making it suitable for simple implementations with direct detection receivers; however, it is sensitive to noise and LED non-linearities. Although (PSK) can offer better noise resilience by modulating the phase while keeping amplitude constant, it requires coherent detection, which is challenging in typical systems using intensity modulation and direct detection (IM/DD) due to phase noise from mobility and is primarily explored in research rather than standard implementations. For coherent PSK under (AWGN) channels, the (BER) is given by \text{BER} = Q\left(\sqrt{2 \cdot \frac{E_b}{N_0}}\right), while for coherent ASK, it is \text{BER} = Q\left(\sqrt{\frac{E_b}{N_0}}\right), where Q(\cdot) is the Q-function, E_b is the energy per bit, and N_0 is the noise power spectral density; these expressions highlight the performance differences between the schemes. These methods achieve moderate data rates, up to hundreds of Mbps in experimental setups, but suffer from bandwidth inefficiency at higher orders due to inter-symbol interference. Multi-carrier techniques adapt (OFDM) for optical channels, dividing the data stream across multiple orthogonal subcarriers to combat frequency-selective fading and extend bandwidth utilization. In VLC, direct current-biased optical OFDM (DCO-OFDM) or asymmetrically clipped optical OFDM (ACO-OFDM) is commonly used, with imposed on the frequency-domain symbols to ensure the inverse (IFFT) produces a real-valued time-domain signal suitable for . This symmetry duplicates positive and components (, X_k = X_{N-k}^* for subcarrier k), effectively halving the usable subcarriers but enabling high through adaptive quadrature (QAM) on each subcarrier. OFDM variants have demonstrated data rates exceeding 1 Gbps in indoor VLC prototypes, though they introduce peak-to-average power ratio issues that exacerbate LED clipping. Recent advancements, such as probabilistic shaping, further enhance efficiency in multi-carrier schemes. Pulse-based techniques exploit the temporal positioning or state of pulses for encoding, offering simplicity and compatibility with dimming s. On-off keying (OOK), a basic pulse scheme, turns the fully on (logical 1) or off/reduced (logical 0), achieving up to 500 Mbps in practical systems but limited by its 1 b/s/Hz ceiling. Variable pulse position modulation (VPPM) improves on this by varying and position within fixed slots, supporting adjustable cycles for without perceptible changes. Color shift keying (CSK) leverages RGB LED channels for , mapping to specific color coordinates while maintaining constant total intensity and , thus enabling multi-level encoding (e.g., 16-CSK for 4 bits per ). CSK achieves up to 10 b/s/Hz in high-order implementations with probabilistic shaping, surpassing single-channel limits through color-space exploitation. Transmission in VLC incorporates considerations to preserve visual comfort and . To avoid —perceptible light fluctuations harmful to human vision— frequencies must exceed 200 Hz, with duty cycles limited to prevent large intensity swings; for instance, depths below 3% ensure imperceptibility during dimming. Additionally, techniques, such as Tomlinson-Harashima or Zadoff-Chu sequence-based methods, compensate for LED non-linearities by pre-distorting the signal, reducing clipping and improving BER without increasing transmitter complexity. These adaptations enable robust operation in illuminated environments, balancing communication performance with lighting functionality.

Detection and Reception Methods

In visible light communication (VLC) systems, optical detection primarily relies on direct detection using photodiodes, such as PIN or photodiodes (APDs), which convert incident light into electrical current proportional to the . The of these photodiodes, typically peaking in the (e.g., around 0.5–0.6 A/W for silicon-based devices at 450–650 nm), determines the efficiency of signal conversion and varies with due to material absorption characteristics. , arising from the random arrival of photons and s, is a dominant source in these receivers, modeled by the variance \sigma^2_{shot} = 2q I B, where q is the electron charge ($1.6 \times 10^{-19} C), I is the average , and B is the receiver bandwidth; this Poisson-limited scales with signal strength and limits at low light levels. Demodulation at the receiver begins with converting the received electrical signal into digital bits, tailored to the modulation scheme employed. For on-off keying (OOK), a simple threshold detection compares the signal amplitude against a predefined level to decide between '0' and '1' symbols, enabling straightforward implementation but requiring careful threshold adaptation to account for channel variations. In contrast, for orthogonal frequency-division multiplexing (OFDM), which is susceptible to inter-symbol interference (ISI) from multipath reflections in indoor environments, frequency-domain equalization is applied post-fast Fourier transform to invert the channel response and recover subcarriers, mitigating ISI and achieving higher data rates (e.g., up to several Gbps over short distances). Interference from ambient light, such as sunlight or artificial sources, introduces and low-frequency noise that can saturate photodiodes or degrade . Mitigation often involves high-pass filtering to attenuate these components, preserving the high-frequency modulated signal, combined with blocking capacitors to remove steady-state offsets without affecting the AC-modulated data. Additionally, receivers, utilizing camera sensors or arrays, enable spatial separation of signals by focusing on specific sources and rejecting off-angle interferers, improving selectivity in multi-transmitter scenarios. Advanced reception methods enhance performance in challenging conditions. Angle diversity receivers, consisting of multiple photodiodes oriented at different angles, prioritize line-of-sight () paths by selecting or combining signals from the strongest branch, thereby boosting received power and reducing multipath-induced distortions while suppressing ambient . Machine learning-based equalization, such as models trained on channel data, addresses non-linear distortions from LED responses or high-power operation by learning complex mappings to recover distorted symbols, outperforming linear equalizers in scenarios with memory effects. To ensure reliable data recovery, forward error correction (FEC) schemes like Reed-Solomon (RS) codes are integrated, particularly suited for optical channels due to their burst-error correction capability over finite fields. In the IEEE 802.15.7-2011 standard for short-range VLC, RS codes (e.g., RS(255,223)) concatenated with convolutional coding achieve post-FEC bit error rates (BER) below $10^{-9} at data rates around 100 Mb/s, enabling robust communication under typical indoor noise levels; later amendments as of 2025 introduce additional modulation and coding schemes for higher rates.

Advantages and Challenges

Benefits Compared to Radio Frequency

Visible light communication (VLC) leverages the vast unlicensed of the visible light band, spanning approximately 400 THz from 430 THz to 790 THz, in contrast to the () 's constrained limited to around 300 GHz. This abundance enables VLC systems to achieve significantly higher data rates, with demonstrated capacities exceeding 10 Gb/s and theoretical potentials reaching terabits per second due to the unregulated nature of the optical domain. Unlike RF technologies, which face spectrum scarcity and licensing requirements, VLC operates without regulatory overhead, facilitating seamless integration into existing infrastructures. A key advantage of VLC is its inherent physical layer security, stemming from the line-of-sight (LOS) propagation of visible light, which confines signals to illuminated areas and prevents penetration through walls or opaque barriers. This directional nature inherently mitigates eavesdropping risks, as unauthorized receivers outside the direct beam cannot intercept the signal, unlike RF's omnidirectional broadcast that is susceptible to interception over wide areas. Such confinement makes VLC particularly suitable for secure environments like confidential meetings or data centers, where RF vulnerabilities could compromise privacy. VLC exhibits immunity to electromagnetic interference (EMI), allowing deployment in sensitive settings where RF signals are prohibited or disruptive, such as MRI rooms or cabins. By utilizing light waves instead of radio waves, VLC avoids generating or being affected by RF emissions, enabling coexistence with RF systems in hybrid networks without mutual disruption. For instance, in medical facilities, VLC supports wireless connectivity for monitoring equipment without risking interference with diagnostic devices. The dual functionality of —simultaneously providing illumination and data transmission—enhances , as the power consumed for serves both purposes without additional overhead. Light-emitting diodes (LEDs), the primary transmitters in VLC, operate at low power levels, with configurations achieving hundreds of Mb/s using around 1 W, far below the energy demands of comparable RF transceivers. This integration reduces overall system power consumption, aligning with energy-saving goals in smart buildings and applications. From a and perspective, employs visible light at intensities akin to standard lighting, avoiding the heating effects associated with RF and fully complying with International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines for optical radiation. Unlike RF, which requires strict limits to prevent heating as per ICNIRP RF standards, poses no such risks, making it safer for prolonged use in populated areas like hospitals or schools.

Limitations and Technical Hurdles

Visible light communication () systems are fundamentally constrained by their reliance on line-of-sight () propagation, which limits effective coverage to typically several meters for reliable high-speed communication indoors. This strict LOS requirement makes VLC highly susceptible to interruptions from everyday blockages, such as moving people, furniture, or other opaque objects, resulting in sudden signal loss and reduced reliability in dynamic indoor environments. Bandwidth limitations in VLC arise primarily from the slow response times of conventional light-emitting diodes (LEDs), which restrict frequencies to a few MHz without advanced alternatives like micro-LEDs. Phosphor-coated LEDs, commonly used for illumination, exhibit bandwidths of 3-5 MHz due to the slow phosphor decay, while RGB LEDs reach only 15-35 MHz, impeding high-speed data transmission. In multipath indoor scenarios, these constraints exacerbate (ISI), with root-mean-square (RMS) delay spreads reaching several , though typically lower in LOS-dominant channels (e.g., 0.26-4.66 ns across various room sizes). Ambient light interference poses a significant hurdle, particularly outdoors, where solar radiation and artificial sources elevate the and degrade signal quality. This interference can reduce the (SNR) by more than 20 dB in conditions, severely limiting outdoor VLC performance and necessitating specialized noise mitigation. Mobility in VLC-enabled environments introduces handover challenges, as users moving between coverage zones experience frequent LOS disruptions, requiring seamless transitions to hybrid radio frequency (RF) backups. Achieving low-latency s—ideally under 5 ms to maintain applications—remains difficult in dynamic settings, often relying on predictive algorithms that increase system complexity. Deployment costs and scalability further hinder VLC adoption, with high initial expenses for existing lighting infrastructure to support communication capabilities. While LED unit prices are projected to decline significantly—potentially by up to 70% in the long term due to advances—costs for VLC-enabled luminaires remain relatively higher than standard LEDs, limiting widespread scaling as of 2025.

Standards and Future Directions

Standardization Efforts

The standardization of visible light communication (VLC) aims to establish interoperable protocols for short-range optical wireless systems, facilitating global deployment in diverse applications. The IEEE 802.15.7-2011 standard introduced the foundational physical (PHY) and (MAC) layers for short-range wireless optical communication using visible light in optically transparent media, supporting data rates ranging from 11.67 kb/s to 96 Mb/s. This initial specification emphasized modulation schemes compatible with light-emitting diodes (LEDs) for simultaneous illumination and data transmission. In 2018, the IEEE revised the standard as 802.15.7-2018 to accommodate higher data rates, enhanced dimming support for integration with existing lighting infrastructure, and expanded capabilities including optical camera communication (OCC) using image sensors as receivers. The update also addressed and near-ultraviolet wavelengths alongside visible light, broadening applicability for indoor and short-range scenarios. The Telecommunication Standardization Sector () published Recommendation G.9991 in 2019, defining the system architecture, PHY, and layers for high-speed indoor transceivers that leverage visible light for data rates up to hundreds of Mb/s. This standard supports secure, line-of-sight communications in environments like offices and homes, with provisions for image sensor-based reception in low-speed modes. The Electronics and Information Technology Industries Association (JEITA) contributed early regional standards, including CP-1221 for general systems and CP-1222 for visible light ID applications, both released in 2007 to promote beaconing and identification use cases in . In 2023, IEEE published Std 802.15.13-2023, specifying PHY and layers for multi-gigabit per second optical wireless communications (OWC) with ranges up to 200 m for both stationary and mobile devices, encompassing visible light spectrum for industrial and high-speed applications. Also in 2023, IEEE Std 802.11bb-2023 defined a new PHY layer and MAC modifications for wireless communications (LC), enabling data rates from 10 Mbit/s to 9.6 Gbit/s using in the 380–5000 range, including visible , for with WLAN environments. The IEEE 802.15.7a task group amended the 2018 standard's OCC PHY, approved in December 2024 and published in February 2025 as IEEE Std 802.15.7a-2024, to enable higher data rates and extended range, targeting vehicular and industrial applications with potential synergies to networks through hybrid systems. These developments build toward terabit-per-second capabilities using advanced emitters like micro-LEDs. Recent advancements in micro-LED technology have significantly enhanced the speed and efficiency of visible light communication (VLC) systems. Researchers have achieved data rates exceeding 10 Gb/s using GaN-based violet micro-LEDs in conjunction with (OFDM), demonstrating modulation up to 1.53 GHz for micro-LEDs operating at 475 nm. These developments leverage nano-engineered InGaN active regions and quantum dots to boost to 1.3 GHz, enabling multigigabit transmission suitable for high-density applications. Integration with massive -optical configurations, such as 2×2 setups using micro-LED photodetectors, has further improved , achieving rates like 160 Mbps in experimental prototypes while supporting 3D array architectures for enhanced . Hybrid VLC-WiFi systems are advancing toward seamless for robust connectivity in dynamic environments. implementations demonstrate vertical (VHO) times as low as 400 ms and horizontal (HHO) at 100 ms, utilizing and algorithms like C4.5 for decision-making based on (RSSI) and (CSI). These systems employ multiple VLC access points under a single WiFi umbrella to handle high user density. Such convergence enables uninterrupted data flow during mobility, addressing coverage gaps in VLC-limited areas. The incorporation of artificial intelligence (AI) is transforming VLC by enabling adaptive techniques for challenging propagation conditions. Machine learning models, including convolutional neural networks and , optimize channel estimation and modulation schemes, reducing bit error rates by up to 30% in varying ambient light scenarios. For non-line-of-sight (NLOS) communication, AI-driven exploits wall reflections via intelligent reflecting surfaces (IRS), achieving 25% higher signal-to-noise ratios through dynamic allocation and adjustments. These methods support real-time adaptation in vehicular and indoor settings, enhancing reliability without hardware overhauls. Emerging applications are extending VLC into specialized domains, including space and biomedical fields. Laser-LED hybrid systems combine the high coherence of lasers with LED illumination for visible light laser communication (VLLC), enabling data rates beyond 50 Gbps over 100 m in free-space optical links suitable for satellite-to-ground transmission. In biomedical contexts, bio-VLC facilitates implant monitoring by transmitting physiological data through visible light, with feasibility studies confirming reliable short-range communication despite challenges like tissue absorption and scattering. These hybrids promise low-power, biocompatible interfaces for implantable devices in real-time health tracking. Looking ahead, is poised for substantial growth, with market projections estimating expansion from USD 4.86 billion in 2025 to USD 27.11 billion by 2030 at a of 41%, fueled by into optical wireless networks for ultra-high-speed, low-latency applications. Quantum-secure VLC via (QKD) offers prospects for eavesdrop-proof transmission but faces hurdles such as limited range due to photon loss, high error rates from ambient , and complexities with existing protocols. Overcoming these through advanced detection and will be critical for secure, scalable deployment in future infrastructures.

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