Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions

By Ning Zhang, Shan Zhang, Peng Yang, Omar Alhussein, Weihua Zhuang, Xuemin Shen. IEEE Communications Magazine, 2017

355 citations recorded by the source corpus.

This article proposes a software defined spaceair- ground integrated network architecture for supporting diverse vehicular services in a seamless, efficient, and cost-effective manner. First, the motivations and challenges for integration of space-air-ground networks are reviewed. Second, a software defined network architecture with a layered structure is presented. To protect the legacy services in the satellite, aerial, and terrestrial segments, resources in each segment are sliced through network slicing to achieve service isolation. Then available resources are put into a common and dynamic space-air-ground resource pool, which is managed by hierarchical controllers to accommodate vehicular services. Finally, a case study is carried out, followed by discussion on some open research topics.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4103aff731534608906a6693a26708ac1fba6292

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Citations in the corpus

Holistic Network Virtualization and Pervasive Network Intelligence for 6G (2023, background): “, space-air-ground integrated networks for global coverage [8], cell-free massive multipleinput multiple-output (MIMO) architecture for inter-cell interference mitigation [223], and multi-tier computing architecture for ubiquitous computing service provisioning [224].”
UAV Communications for 5G and Beyond: Recent Advances and Future Trends (2019, background): “Researchers these days are focusing on ways to design heterogeneous infrastructures, such as densely deployed small cells; integrate heterogeneous communication networks, such as space-based, air-based, and ground-based [17]; employ multifarious 5G communication techniques [18], such as massive mult”
AI-Native Network Slicing for 6G Networks (2021, background): “Distinguished from 5G networks, 6G networks have several features: • SAGIN -”
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, neutral): “network topology, customized end-to-end protocols and dynamic network embedding [350].”
Space-Air-Ground Integrated Network: A Survey (2018, methodology): “some comparisons of different networks in these three segments [26].”
Resource Scheduling in Edge Computing: A Survey (2021, methodology): “In this context, network slicing is a viable technique for efficient heterogeneous resource scheduling and management [295], [296].”
Challenges and Solutions for Cellular Based V2X Communications (2021, background): “Through inter-networking, advantages from different segments and technologies can be utilized to support various vehicular services in an efficient and flexible manner [107].”
Internet of vehicles in big data era (2018, background): “an important supplement for big data acquisition methods for IoV, but also can improve the network performance [56], [57].”
Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities (2020, neutral): “[78].”
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey (2021, background): “The upcoming 6G networks will accommodate an extensive range of different technologies, thus posing some challenges on the management of such heterogeneous networks in higher layers [27], [382].”
Integrated Satellite-Terrestrial Networks Toward 6G: Architectures, Applications, and Challenges (2022, methodology): “By using the solar energy, the balloons can provide continuous service for a certain area for several years [121], while the deployment costs are much lower than terrestrial networks due to the mobility and the flexibility.”
Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach (2019, background): “Different SAGIN architecture is discussed in [20], [21].”