Position-Dependent MIMO Demultiplexing Strategy for High-Speed Visible Light Communication in Internet of Vehicles

Li, Guoqiang; Niu, Wenqing; Ha, Yinaer; Hu, Fangchen; Wang, Jie; Yu, Xiaowei; Jia, Junlian; Zou, Peng; He, Zhixue; Yu, Shaohua

doi:10.1109/jiot.2021.3126798

Cited by 14 publications

(7 citation statements)

References 49 publications

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“…Within the realm of V2V communication, this study conducts simulations involving the utilization of VLC through car lights. [55]. Table 6 showcases the diverse VLC bandwidths at varying distances, discerning between nighttime and daytime scenarios.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

Huang,

Hu,

Cheng

2023

Biomimetics

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It is expected that interconnected networks of autonomous vehicles, especially during peak traffic, will face congestion challenges. Moreover, the existing literature lacks discussions on integrating next-generation wireless communication technologies into connected vehicular networks. Hence, this paper introduces a tailored bandwidth management algorithm for streaming applications of autonomous vehicle passengers. It leverages cutting-edge 6G wireless technology to create a network with high-speed transmission and broad coverage, ensuring smooth streaming application performance. The key features of bandwidth allocation for diverse streaming applications in this work include bandwidth relay and pre-loading of video clips assisted by vehicle-to-vehicle communication. Through simulations, this research effectively showcases the algorithm’s ability to fulfill the bandwidth needs of diverse streaming applications for autonomous vehicle passengers. Specifically, during periods of peak user bandwidth demand, it notably increases the bandwidth accessible for streaming applications. On average, users experience a substantial 55% improvement in the bandwidth they can access. This validation affirms the viability and promise of the proposed approach in efficiently managing the intricate complexities of bandwidth allocation issues for streaming services within the connected autonomous vehicular networks.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

Huang,

Hu,

Cheng

2023

Biomimetics

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“…Table 4 shows the bandwidth and transmission distance that can be provided by the three types of base stations. In addition, for V2V communication using VLC, this paper cites the relevant literature that involves simulations incorporating the use of car lights [ 45 ]. Additionally, Table 5 provides an overview of the variable bandwidths of VLC at different distances, distinguishing between daytime and nighttime circumstances.…”

Section: Resultsmentioning

confidence: 99%

“…The results of their simulations provided validation for the effectiveness of the proposed VLC system, showcasing its potential to achieve a bit error rate below

, even when confronted with substantial interference from external lighting sources. Additionally, a multiple input and multiple output (MIMO) VLC system with custom-designed pin arrays and headlights achieved data rates of 336 Mbps and 362 Mbps at distances of 100 m during the day and night, respectively [ 45 ]. The above-mentioned studies verify the feasibility of VLC in next-generation vehicular communication applications.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Bandwidth Management Algorithm for Next-Generation Vehicular Networks

Huang,

Hu,

Cheng

2023

Sensors

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The popularity of video services such as video call or video on-demand has made it impossible for people to live without them in their daily lives. It can be anticipated that the explosive growth of vehicular communication owing to the widespread use of in-vehicle video infotainment applications in the future will result in increasing fragmentation and congestion of the wireless transmission spectrum. Accordingly, effective bandwidth management algorithms are demanded to achieve efficient communication and stable scalability in next-generation vehicular networks. To the best of our current knowledge, a noticeable gap remains in the existing literature regarding the application of the latest advancements in network communication technologies. Specifically, this gap is evident in the lack of exploration regarding how cutting-edge technologies can be effectively employed to optimize bandwidth allocation, especially in the realm of video service applications within the forthcoming vehicular networks. In light of this void, this paper presents a seamless integration of cutting-edge 6G communication technologies, such as terahertz (THz) and visible light communication (VLC), with the existing 5G millimeter-wave and sub-6 GHz base stations. This integration facilitates the creation of a network environment characterized by high transmission rates and extensive coverage. Our primary aim is to ensure the uninterrupted playback of real-time video applications for vehicle users. These video applications encompass video conferencing, live video, and on-demand video services. The outcomes of our simulations convincingly indicate that the proposed strategy adeptly addresses the challenge of bandwidth competition among vehicle users. Moreover, it notably boosts the efficient utilization of bandwidth from less crowded base stations, optimizes the fulfillment of bandwidth prerequisites for various video applications, and elevates the overall video quality experienced by users. Consequently, our findings serve as a successful validation of the practicality and effectiveness of the proposed methodology.

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“…It helps to receive specific LED frequency data for demodulation. Li et al in [ 65 ] extensively experimented with vehicle-to-vehicle communication in long-distance and high data rate applications. Different scenarios were considered, and corresponding BER was reported in the study.…”

Section: Mimo Communication Study Categoriesmentioning

confidence: 99%

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

Sejan

Rahman

Aziz

et al. 2023

Sensors

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Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wireless communications system capacity and performance. With the advantages of MIMO techniques, VLC can achieve an additional degree of freedom. In this paper, we systematically perform a survey of the existing work based on MIMO VLC. We categorize the types of different MIMO techniques, and a brief description is given. Different problem-solving approaches are given in the subsequent sections. In addition, machine learning approaches are also discussed in sufficient detail. Finally, we identify the future study direction for MIMO-based communication in VLC.

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Position-Dependent MIMO Demultiplexing Strategy for High-Speed Visible Light Communication in Internet of Vehicles

Cited by 14 publications

References 49 publications

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

An Adaptive Bandwidth Management Algorithm for Next-Generation Vehicular Networks

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

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