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- 2019
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Tidskriftsartikel (refereegranskat)
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- Ni, Yuanzhi, et al.
(författare)
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Toward Reliable and Scalable Internet-of-Vehicles : Performance Analysis and Resource Management
- 2020
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Ingår i: Proceedings of the IEEE. - New York, NY : Institute of Electrical and Electronics Engineers (IEEE). - 0018-9219 .- 1558-2256. ; 108:2, s. 324-340
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Tidskriftsartikel (refereegranskat)abstract
- Reliable and scalable wireless transmissions for Internet-of-Vehicles (IoV) are technically challenging. Each vehicle, from driver-assisted to automated one, will generate a flood of information, up to thousands of times of that by a person. Vehicle density may change drastically over time and location. Emergency messages and real-time cooperative control messages have stringent delay constraints while infotainment applications may tolerate a certain degree of latency. On a congested road, thousands of vehicles need to exchange information badly, only to find that service is limited due to the scarcity of wireless spectrum. Considering the service requirements of heterogeneous IoV applications, service guarantee relies on an in-depth understanding of network performance and innovations in wireless resource management leveraging the mobility of vehicles, which are addressed in this article. For single-hop transmissions, we study and compare the performance of vehicle-to-vehicle (V2V) beacon broadcasting using random access-based (IEEE 802.11p) and resource allocation-based (cellular vehicle-to-everything) protocols, and the enhancement strategies using distributed congestion control. For messages propagated in IoV using multihop V2V relay transmissions, the fundamental network connectivity property of 1-D and 2-D roads is given. To have a message delivered farther away in a sparse, disconnected V2V network, vehicles can carry and forward the message, with the help of infrastructure if possible. The optimal locations to deploy different types of roadside infrastructures, including storage-only devices and roadside units with Internet connections, are analyzed. © 2019 IEEE
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- Leung, Victor C. M., et al.
(författare)
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Editorial for QShine 2014 Special Issue
- 2016
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Ingår i: Mobile Networks and Applications. - : Springer Science and Business Media LLC. - 1383-469X .- 1572-8153. ; 21:3, s. 387-389
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 5. |
- Yu, Han, et al.
(författare)
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Computer Vision-Based Joint Space Sensing and Communication Systems: Non-Source, Autonomy, and Low Latency
- 2023
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Ingår i: IEEE Wireless Communications. - 1536-1284 .- 1558-0687. ; 30:6, s. 60-68
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Tidskriftsartikel (refereegranskat)abstract
- The new space race is intensifying as thousands of satellites are poised for deployment into outer space each year. Companies are deploying low-earth orbit satellites at an unprecedented rate to create mega-constellations. Because outer space is becoming increasingly crowded and hazardous, establishing safe, efficient, and rapid inter-satellite communications is now a major challenge, essential for managing, maintaining, and inspecting vast space communication networks. Joint sensing and communication (JSC) presents a remarkable opportunity to enhance communication performance metrics by leveraging sensed surrounding information, including spectrum efficiency, beam training, and more. As such, applying JSC for space environmental sensing could significantly enhance the performance of inter-satellite communications in ever-crowded outer space. However, traditional radio frequency-based JSC faces significant challenges - such as latency and security concerns - when applied to outer-space satellite communications. This work proposes a novel approach to joint space sensing and communication-based on computer vision (CV) for target detection, tracking, and prediction to ensure effective satellite communications by integrating various communication and sensing techniques. We illustrate several network connection prototypes using appropriate computing management to enhance energy efficiency, latency, and covertness performance in various scenarios. Finally, we investigate and discuss the significant technological challenges and future research directions.
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