What does this research mean for the field?

Integrated sensing and communication for V2X (ISAC-V2X) overcomes the limitations of conventional separated systems by sharing hardware and spectrum, but requires further development in end-to-end frameworks, multi-modal AI architectures, and standardization for 6G deployment. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To synthesize the current state of integrated sensing and communication for 6G vehicle-to-everything (ISAC-V2X) networks and outline critical challenges for practical deployment.

September 8, 2026SensorsOpen Access

Integrated Sensing and Communication for 6G V2X Networks: A Comprehensive Survey of Architectures, Security, and Multi-Modal AI

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Authors

SSŞen ŞenBursa Uludağ Üni̇versi̇tesi̇ABArif BaşgümüşBursa Uludağ Üni̇versi̇tesi̇MNMustafa NamdarDumlupinar University

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Implication

Literature survey reveals design frameworks for 6G vehicular networks, highlighting major gaps in standardization, testbeds, and multi-modal artificial intelligence.

Key Points

To synthesize the current state of integrated sensing and communication for 6G vehicle-to-everything (ISAC-V2X) networks and outline critical challenges for practical deployment.
Reviewed literature across eight thematic areas, covering vehicular channel models, physical-layer techniques, security, multi-access edge computing, and multi-modal perception.
Evaluated advanced radio technologies, including reconfigurable intelligent surfaces, rate-splitting multiple access, beamforming, and artificial intelligence-driven signal processing.
Identified five core research gaps: high-mobility end-to-end networked frameworks, unified multi-modal AI architectures, missing industry standards, lack of open testbeds, and cross-domain scalability limitations.
Established a development roadmap emphasizing multi-sensor fusion across radar, LiDAR, cameras, and radio frequencies to achieve ultra-reliable, low-latency vehicular operations.

Cite This Study

Şen et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd83b58e84d0ff5b4790a https://doi.org/10.3390/s26175653

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Implication

Literature survey reveals design frameworks for 6G vehicular networks, highlighting major gaps in standardization, testbeds, and multi-modal artificial intelligence.

Integrated Sensing and Communication for 6G V2X Networks: A Comprehensive Survey of Architectures, Security, and Multi-Modal AI

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Cite This Study

Integrated Sensing and Communication for 6G V2X Networks: A Comprehensive Survey of Architectures, Security, and Multi-Modal AI

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Implication

Key Points

Cite This Study

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