Exploiting Overlapping Fields of View for Redundancy-Aware Uplink Transmission in Vehicular 6G

Jul 16, 2026

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Emerging uplink-dominant 6G services such as cooperative vehicular streaming demand efficient transport of high-volume visual data under tight wireless constraints. This paper introduces a semantic-aware multiple access scheme that leverages spatial redundancy across nearby vehicles’ overlapping fields of view. A joint perception–transmission control formulation selects image patches, transmission timing, and channels under communication limits. A practical two-phase method estimates inter-user redundancy via V2V patch sharing, then uplinks only semantically important, non-redundant patches for base-station reconstruction.

LanguageEnglish

CategoryResearch & Report

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Pages6

Reading Time15 min

Abstract

Introduction

Exploiting Overlapping Fields of View for Redundancy-Aware Uplink Transmission in Vehicular 6G Hamidreza Mazandarani 1 , Masoud Shokrnezhad2 , Tarik Taleb 1 , Onur G¨unl¨u3, 4 1 Ruhr University Bochum, Bochum, Germany; {hamidreza.mazandarani, [tarik.taleb](tarik.taleb}@rub.de)[}](tarik.taleb}@rub.de)[@rub.de](tarik.taleb}@rub.de) 2 ICTFicial Oy, Espoo, Finland; [masoud.shokrnezhad@ictficial.com](masoud.shokrnezhad@ictficial.com) 3 TU Dortmund, Dortmund, Germany; [onur.guenlue@tu-dortmund.de](onur.guenlue@tu-dortmund.de) 4 Information Theory and Security Laboratory, Link o¨ping University, Linko¨ping, Sweden arXiv :2606 .3 17 15v2 [ cs .NI] 11 Jul 2026 Abstract—Emerging uplink-dominant 6G use cases, such as cooperative vehicular streaming, require efficient transmission of high-volume visual data over limited wireless resources. While semantic communications can reduce traffic by prioritizing taskrelevant content, most existing approaches treat users independently and therefore overlook spatial redundancy among nearby devices’ observations. This paper proposes a semantic-aware multiple access scheme that exploits overlapping fields of view among vehicular users to reduce redundant uplink transmissions. We formulate a joint perception and transmission control problem in which users decide which image patches to transmit, when to transmit them, and over which channel, subject to communication constraints. To address the resulting complexity, we introduce a practical two-phase approach. First, nearby vehicles share selected observation patches over Vehicle-to-Vehicle (V2V) links to calculate inter-user spatial redundancy. Second, users transmit only semantically important, non-redundant patches to the base station, where observations can be reconstructed using the received patches and complementary views from neighboring vehicles. Simulation results in a dense urban vehicular scenario demonstrate that our approach improves the proportion of users who achieve high-fidelity reconstruction, highlighting the potential of semantic-aware multiple access for sustainable and resource-efficient 6G uplink systems. Index Terms—6G, Semantic-awareness, Semantic Communications, Resource Allocation, Multiple Access, Medium Access Control (MAC), Wireless Spectrum, generative AI, collaborative wireless networking, vehicular networks. I. INTRODUCTION The phrase “Not all bits are equal” captures the guiding principle behind the semantic revolution in communications, where the significance of source bits is evaluated from the receiver’s perspective and leveraged to manage various network functionalities, including multiple access to the frequency spectrum [1],[2] . Recent advancements in the Artificial Intelligence (AI) domain have facilitated the extraction of non-linear patterns from data, enabling the identification of semantic segments (meaningful data regions) and the prioritization of their transmission according to importance to the downstream task [3] . For instance, in a vehicular uplink streaming service with front-view cameras mounted on vehicles, a safety application may focus exclusively on segments that contain pedestrians, pets, and cyclists, whereas a navigation system may prioritize road and traffic sign information. For each of these applications, prioritized segment transmission can be realized within the framework of semantic communications [4] . Nonetheless, most existing literature focuses on either single-user settings or scenarios involving multiple independent users, where the significance of each bit is only relevant within an individual user’s context [5]–[9] . For instance, Devoto et al. [5] introduce a transformer-based framework that adaptively identifies and transmits only the visual tokens most relevant to the target task for edge inference, while dynamically responding to channel fluctuations. Liu et al. [6] develop a Large Language Model (LLM)-driven agentic gating mechanism within a Mixture

FAQs

What problem does the paper address in vehicular 6G uplink transmission?

It addresses inefficient uplink use for high-volume visual streaming when nearby vehicles generate spatially redundant observations, leading to repeated transmissions without added receiver value.

How does the proposed scheme reduce redundant uplink transmissions?

Vehicles exploit overlapping fields of view by sharing selected observation patches to estimate inter-user spatial redundancy, then transmit only semantically important, non-redundant patches to the base station.

What is the role of the two-phase approach?

Phase one uses V2V links to exchange selected patches and compute spatial redundancy, while phase two restricts uplink transmissions to non-redundant semantically important patches that enable reconstruction using received patches and complementary views.

Jul 16, 2026

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