Beam Tracking in Switched-Beam Antenna System for V2V Communication

Poochaya, Settawit; Uthansakul, Peerapong

doi:10.1155/2016/4169619

Cited by 6 publications

(3 citation statements)

References 26 publications

(38 reference statements)

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“…The quality of V2V communication links directly affects the bit error rate (BER). In comparison to conventional systems [ 7 , 32 , 33 ], the proposed system demonstrates a more efficient BER. To evaluate the system’s performance, a high-speed lane-changing scenario is chosen, where both the On-Board Units (OBU) function as both transmitters and receivers, employing a switched beam system.…”

Section: Resultsmentioning

confidence: 95%

“…From an industrial perspective, the main issue in V2V communication is the efficiency of omnidirectional antennas. The study in [ 7 ] was conducted using switched beam antennas at the transmitting end and omnidirectional antennas at the receiving end, resulting in improved Received Signal Strength Indicator (RSSI) and probability values for the V2V link, but with power and resource waste affecting the overall channel traffic structure. Algorithms and beam management play a crucial role in enhancing efficiency and improving results.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks

Ahmed,

Tiang,

Mahmud

et al. 2023

Sensors

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This paper develops a novel approach for reliable vehicle-to-vehicle (V2V) communication in various environments. A switched beam antenna is deployed at the transmitting and receiving points, with a beam management system that concentrates the power in each beam using a low-computation algorithm and a potential mathematical model. The algorithm is designed to be flexible for various environments faced by vehicles. Additionally, an anti-failure system is proposed in case the intelligent transportation system (ITS) system fails to retrieve real-time Packet Delivery Ratio (PDR) values related to traffic density. Performance metrics include the time to collision in seconds, the bit error rate (BER), the packet error rate (PER), the average throughput (Mbps), the beam selection probability, and computational complexity factors. The proposed system is compared with traditional systems. Extensive experiments, simulations, and comparisons show that the proposed approach is excellent and reliable for vehicular systems. The proposed study demonstrates an average throughput of 1.7 Mbps, surpassing conventional methods’ typical throughput of 1.35 Mbps. Moreover, the bit error rate (BER) of the proposed study is reduced by a factor of 0.1. Additionally, the proposed framework achieves a beam power efficiency of touching to 100% at computational factor of 34. These metrics indicate that the proposed method is both efficient and sufficiently robust.

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Section: Resultsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks

Ahmed,

Tiang,

Mahmud

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Nonetheless, the study provides a complete overview of the developed model and its significance. The graphical analysis of Current Method-1, Current Method-2, and Current Method-3 presents a compilation of various studies [23][24][25][26][27][28][29] and their results for comparison. The key difference between the proposed study and aforementioned studies is that they are mostly employed in 5G systems, whereas the proposed work was tested in a 6G simulated environment.…”

Section: Resultsmentioning

confidence: 99%

Deep Reinforcement Learning-Based Adaptive Beam Tracking and Resource Allocation in 6G Vehicular Networks with Switched Beam Antennas

et al. 2023

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In this paper, we propose a novel switched beam antenna system model integrated with deep reinforcement learning (DRL) for 6G vehicle-to-vehicle (V2V) communications. The proposed system model aims to address the challenges of highly dynamic V2V environments, including rapid changes in channel conditions, interference, and Doppler effects. By leveraging the beam-switching capabilities of switched beam antennas and the intelligent decision making of DRL, the proposed approach enhances the performance of 6G V2V communications in terms of throughput, latency, reliability, and spectral efficiency. The proposed work develops a comprehensive mathematical model that accounts for 6G channel modeling, beam-switching, and beam-alignment errors. The Proposed DRL framework is designed to learn optimal beam-switching decisions in real time, adapting to the complex and varying V2V communication scenarios. The integration of the proposed antenna system and DRL model results in a robust solution that is capable of maintaining reliable communication links in a highly dynamic environment. To validate the proposed approach, extensive simulations were conducted and performance analysis using various performance metrics, such as throughput, latency, reliability, energy efficiency, resource utilization, and network scalability, was analyzed. Results demonstrate that the proposed system model significantly outperforms conventional V2V communication systems and other state-of-the-art techniques. Furthermore, the proposed approach shows that the beam-switching capabilities of the switched beam antenna system and the intelligent decision making of the DRL model are essential in addressing the challenges of 6G V2V communications.

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Beam alignment techniques classifications for Mm-wave communications: A short review

Anooz,

Pourrostam

2023

4th International Scientific Conference of Alkafeel University (Iscku 2022)

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Beam Tracking in Switched-Beam Antenna System for V2V Communication

Cited by 6 publications

References 26 publications

Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks

Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks

Deep Reinforcement Learning-Based Adaptive Beam Tracking and Resource Allocation in 6G Vehicular Networks with Switched Beam Antennas

Beam alignment techniques classifications for Mm-wave communications: A short review

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