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Software-defined vehicular backhaul

Benjamin Baron, Promethee Spathis, Herve Rivano, Marcelo Dias de Amorim, Yannis Viniotis, Joseph Clarke
2014 2014 IFIP Wireless Days (WD)  
In summary, the contributions of this paper are: • SDN-controlled vehicular backhaul.  ...  We present the benefits of the SDN paradigm in the context of a vehicular backhaul in Section II.  ... 
doi:10.1109/wd.2014.7020813 dblp:conf/wd/BaronSRAVC14 fatcat:awy77w2qkveqjkhfmm3kmbrbje

Outage Probability of Vehicular Networks under Unreliable Backhaul

Cheng Yin, Luning Yang, Emiliano Garcia-Palacios
2018 EAI Endorsed Transactions on Industrial Networks and Intelligent Systems  
This paper presents for the first time a heterogeneous vehicular model with multiple moving small cells and a moving receiver with unreliable backhaul.  ...  In this system, a macro-base station connects to multiple moving small cells via wireless backhaul links. A Bernoulli process is adopted to model the backhaul reliability.  ...  ., Duong, T.Q. and Shu, L. (2017) Software defined architecture for vanet: A testbed implementation with wireless access management.  ... 
doi:10.4108/eai.19-12-2018.156077 fatcat:okjf7aufnvdixk7qfsokddkejm

Editorial: Software-Defined and Virtualized Future Wireless Networks

Yong Li, Athanasios V. Vasilakos
2015 Journal on spesial topics in mobile networks and applications  
However, key technologies in software defined wireless networks (SDWN) are still open, including the end-to-end architecture, design and implementation of wireless technologies, software defining strategies  ...  Software defined network, an innovative paradigm, has become one of the hottest topics in wired and wireless networking.  ...  The article, BThe Characterizes of Communication Contacts Between Vehicles and Intersections for Software-Defined Vehicular Networks^, co-authored by XueFeng Xiao and Xiaoyan Kui, introduce vehicular networks  ... 
doi:10.1007/s11036-015-0569-4 fatcat:cfzum3r3vffjjizjygpc3ldt74

Towards Safe Automated Driving: Design of Software-Defined Dynamic MmWave V2X Networks and PoC Implementation

Zongdian Li, Tao Yu, Ryuichi Fukatsu, Gia Khanh Tran, Kei Sakaguchi
2021 IEEE Open Journal of Vehicular Technology  
In this paper, we firstly propose a novel architecture, i.e. software-defined dynamic mmWave V2X network, to support cooperative perception.  ...  Meanwhile, the emergence of Software Defined Networking (SDN) enables centralized network management and allows flexible scheduling of communication resources to match V2X capacities.  ...  Software-Defined Wireless Networks (SDWNs) [47] and Software-Defined Mobile Networks (SDMNs) [48] .  ... 
doi:10.1109/ojvt.2021.3049783 fatcat:sswgdpcmn5f6netepxtud3jiya

Cell-Less Communications in 5G Vehicular Networks Based on Vehicle-Installed Access Points

Lijun Wang, Tao Han, Qiang Li, Jia Yan, Xiong Liu, Dexiang Deng
2017 IEEE wireless communications  
To manage such cell-less networks, local moving software-defined cloudlets are adopted to perform transmission and scheduling management.  ...  to 5G vehicular networks.  ...  For the coordination and scheduling management of backhaul links among the moving APs, local software-defined cloudlets need to be deployed to manage the moving APs in a particular local area.  ... 
doi:10.1109/mwc.2017.1600401 fatcat:54bwuxdkunembnij5cg365cdnu

Secure and Multihomed Vehicular Femtocells

Suneth Namal, Jani Pellikka, Andrei Gurtov
2012 2012 IEEE 75th Vehicular Technology Conference (VTC Spring)  
In this paper, we present a novel Host Identity Protocol (HIP) based secure vehicular femtocell scenario.  ...  Finally, we investigate the feasibility to use HIP in a vehicular femtocell which is new in the context and measure the performance in terms of handover latency, packet loss and throughput to compare multihomed  ...  Femtocells automatically poll for software updates upon being powered up. Home eNodeB Management System (HeMS) is responsible for the software updates.  ... 
doi:10.1109/vetecs.2012.6240063 dblp:conf/vtc/NamalPG12 fatcat:wu7pigakuzhjxis2wf7qcdf4qe

Moving cells: a promising solution to boost performance for vehicular users

Yutao Sui, Jaakko Vihriala, Agisilaos Papadogiannis, Mikael Sternad, Wei Yang, Tommy Svensson
2013 IEEE Communications Magazine  
Two types of advanced RNs, type 1 and type 2 RNs, have been defined by 3GPP.  ...  Although the 802.11x extension of the WiFi standard enables roaming for WiFi devices, functions such as charging, authentication, and security still require software and hardware upgrades for the WiFi  ... 
doi:10.1109/mcom.2013.6525596 fatcat:kknankg43bgtnfylaqsx5b3zma

IEEE VTM's Special Issues and Open-Call Submissions [From the Editor]

Javier Gozalvez Sempere
2019 IEEE Vehicular Technology Magazine  
Finally, in "Information-Driven Software-Defined Vehicular Networks," Silva et al. propose an information-driven software-defined architecture for delivering content in vehicular networks.  ...  This approach has certain challenges, including the capacity limitation of wireless backhaul links for UAVs as well as their limited battery life.  ... 
doi:10.1109/mvt.2018.2886974 fatcat:k3bxywznbnatnmzcconjx4v4sq

A Novel Radio Multiservice Adaptive Network Architecture for 5G Networks

Albert Banchs, Markus Breitbach, Xavier Costa, Uwe Doetsch, Simone Redana, Cinzia Sartori, Hans Schotten
2015 2015 IEEE 81st Vehicular Technology Conference (VTC Spring)  
With the resulting paradigm, which we refer to as software-defined mobile network control, the functionality executed in the network cloud is designed following a software-defined approach: it relies on  ...  Software-Defined Mobile network Control (SDMC) Current Software-Defined Networking (SDN) implementations focus mostly on wired networks to separate routing control (which decides how to handle the traffic  ... 
doi:10.1109/vtcspring.2015.7145636 dblp:conf/vtc/BanchsBCDRSS15 fatcat:hrc6f4hxvjdhxb5ohxj2jf262q

Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles [article]

Won Joon Yun, Dohyun Kwon, Minseok Choi, Joongheon Kim, Guiseppe Caire, Andreas F. Molisch
2021 arXiv   pre-print
This paper proposes a deep reinforcement learning-based video streaming scheme for mobility-aware vehicular networks, e.g., vehicles on the highway.  ...  This paper finally shows that the DRL agent learns a streaming policy that pursues high average quality while limiting packet drops, avoiding playback stalls, reducing quality fluctuations and saving backhaul  ...  vehicular network.  ... 
arXiv:2111.09425v1 fatcat:cq3hfxt3dnfurauh3uxi7pzkye

Adaptive Content Precaching Scheme Based on the Predictive Speed of Vehicles in Content-Centric Vehicular Networks

Youngju Nam, Hyunseok Choi, Yongje Shin, Euisin Lee, Eun-Kyu Lee
2021 Sensors  
Content-Centric Vehicular Networks (CCVNs) are considered as an attractive technology to efficiently distribute and share contents among vehicles in vehicular environments.  ...  Simulation results verify that ACPS achieves better performance than previous schemes with the current or the average speeds in terms of the content download delay and the backhaul traffic overhead.  ...  The value a is defined as an acceleration factor.  ... 
doi:10.3390/s21165376 pmid:34450817 pmcid:PMC8402082 fatcat:bl7n6gueobei3i7ipfnnvvdfdy

Traffic Jam: Handling the Increasing Volume of Mobile Data Traffic

Toktam Mahmoodi, Srini Seetharaman
2014 IEEE Vehicular Technology Magazine  
Although this new backhaul architecture yields to easier management, we find that this architecture can be improved further by applying the principles of software-defined networking (SDN).  ...  With new mobile communication standards, the mobile backhaul architecture has a clear split of a packet-only data plane and a management plane.  ...  Since the management plane is also software defined, we foresee that the control plane may, in the long term, subsume the functions offered by the management plane.  ... 
doi:10.1109/mvt.2014.2333765 fatcat:bzjg5t6sh5hprbf5et54y62b4a

An optimal security management framework for backhaul-aware 5G-Vehicle to Everything (V2X) [article]

Vishal Sharma, Jiyoon Kim, Yongho Ko, Ilsun You, Jung Taek Seo
2019 arXiv   pre-print
The proposed approach aims at the utilization of high-speed mmWave-based backhaul for enhancing the security operations between the core and the sub-divided functions at the edge of the network through  ...  (V2X). 5G has dominated the vehicular network and most of the upcoming research is motivated towards the fully functional utilization of 5G-V2X.  ...  [16] focused on the software-defined based secure group communications in the V2X.  ... 
arXiv:1909.07568v1 fatcat:kvqfgbjywbfqta7qt5omhh6buy

Small LTE Base Stations Deployment in Vehicle-to-Road- Infrastructure Communications [chapter]

Luca Reggiani, Laura Dossi, Lorenzo Galati, Roberto Lambiase
2013 Vehicular Technologies - Deployment and Applications  
Stations Deployment in Vehicle-to-Road-Infrastructure Communications 3 10.5772/55430 Small LTE Base Stations Deployment in Vehicle-to-Road-Infrastructure Communications http://dx.doi.org/10.5772/55430 Vehicular  ...  The adoption of DSP processors is usually preferred because it eases software development and upgrades.  ...  The fundamental parameters that define A FW (θ) are the 3dB beamwidth θ 3dB and the beam orientation, set in order to guarantee an external angle θ EXT as defined in Fig. 1 . • another directional antenna  ... 
doi:10.5772/55430 fatcat:it4crgxzwnhojkqj2z7s3to33e

Dense Urban Channel Measurements for Utility Pole Fixed Wireless Links [article]

Michael W. Wasson, Geoffrey G. Messier, Devin P. Smith
2016 arXiv   pre-print
This radio channel measurement campaign characterizes the propagation conditions experienced in a dense urban environment over fixed backhaul links between wireless devices that are mounted on utility  ...  The resulting signal to noise ratio of the system, as defined in [10] , was 44.3 dB.  ...  There is either single or double lane vehicular traffic on each street with typical vehicular speeds not exceeding 50 km/hour. The streets also include broad pedestrian sidewalks.  ... 
arXiv:1605.08815v1 fatcat:eav5o42kvnfmfb2waalaw327ii
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