5G-enabled vehicular communications and networking
Xiang Cheng, Rongqing Zhang, Liuqing Yang (Springer Nature, 2019)
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This book investigates and reviews recent advanced techniques and important applications in vehicular communications and networking (VCN) from a novel perspective of the combination and integration of VCN and connected vehicles, which provides a significant scientific and technical support for future 5G-based VCN.5G-Enabled Vehicular Communications and Networking introduces vehicular channel characteristics, reviews current channel modeling approaches, and then provides a new generic geometry-based stochastic modeling approach for vehicle-to-everything (V2X) communications. The investigation of vehicular channel measurements and modeling provides fundamental supports for the VCN system design. Then, this book investigates VCN-vehicle combination from PHY and MAC layers, respectively. As for the PHY layer, many advanced techniques that can be effectively applied in VCN to counter the PHY challenges are introduced, including novel ICI cancellation methods, index modulated OFDM, differential spatial modulation, and energy harvesting relaying.As for the MAC layer, distributed and centralized MAC designs are analyzed and compared in terms of feasibility and availability. Specifically, distributed congestion control, D2D-enabled vehicular communications, and centralized data dissemination scheduling are elaborated, which can significantly improve the network performance in vehicular networks. Finally, considering VCN-vehicle integration, this book introduces several hot-topic applications in vehicular networks, including electric vehicles, distributed data storage, unmanned aerial vehicles, and security and privacy, which indicates the significance and development value of VCN-vehicle integration in future vehicular networks and our daily life.; |
5G-Enabled Vehicular Communications and Networking.pdf :: Unduh
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No. Panggil : | e20505393 |
Entri utama-Nama orang : | |
Entri tambahan-Nama orang : | |
Subjek : | |
Penerbitan : | Switzerland: Springer Nature, 2019 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resource |
Deskripsi Fisik: | ix, 177 pages : illustration |
Tautan: | https://doi.org/10.1007/978-3-030-02176-4; |
Lembaga Pemilik: | Universitas Indonesia |
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No. Panggil | No. Barkod | Ketersediaan |
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e20505393 | 02-20-506860737 | TERSEDIA |
e20505393 | TERSEDIA |
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