Explore the words cloud of the PriMO-5G project. It provides you a very rough idea of what is the project "PriMO-5G" about.
The following table provides information about the project.
AALTO KORKEAKOULUSAATIO SR
|Coordinator Country||Finland [FI]|
|Total cost||2˙000˙000 €|
|EC max contribution||2˙000˙000 € (100%)|
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
|Duration (year-month-day)||from 2018-07-01 to 2021-06-30|
Take a look of project's partnership.
|1||AALTO KORKEAKOULUSAATIO SR||FI (ESPOO)||coordinator||431˙875.00|
|2||ERICSSON AB||SE (STOCKHOLM)||participant||341˙375.00|
|3||KING'S COLLEGE LONDON||UK (LONDON)||participant||339˙000.00|
|4||NATIONAL INSTRUMENTS DRESDEN GMBH||DE (DRESDEN)||participant||333˙000.00|
|5||KUNGLIGA TEKNISKA HOEGSKOLAN||SE (STOCKHOLM)||participant||330˙000.00|
|6||CUMUCORE OY||FI (HELSINKI)||participant||224˙750.00|
The PriMO-5G project addresses the area of “a) Focus on mmWave and super broadband services” in the call “EUK-02-2018: 5G” of the Horizon 2020 Work Program 2018-2020.
The main aim of the PriMO-5G project is to demonstrate an end-to-end 5G system providing immersive video services for moving objects. This will be done by cross-continental testbeds that integrate radio access and core networks developed by different project partners. The cross-continental testbeds will show the end-to-end operations of envisaged use cases. To achieve this aim, the PriMO-5G project will develop a set of solutions enabling the ultra-high data rate services for fast-moving cars and drones. The development includes mmWave radio technologies, interoperable 5G core networks, and AI-assisted communications.
The project contributes to the standardization of 5G Phase 2 and beyond, identifies possible regulatory bottlenecks that need to be solved in order to enable the system to operate globally, assesses the economic and business aspects related to the use of 5G for immerse video service in vehicular and aerial drone settings. The consortium benefits from leading industrial partners both in Europe and Korea who are active key members of major standardization fora, regulatory bodies, and open source communities. Academic partners will also influence the spectrum policies through national regulatory authorities.
The PriMO-5G consortium members represent the full range of competence and expertise covering the whole value chain in a complementary way to achieve the project’s objectives. The consortium draws on skills from world-leading manufacturers, competent operator, top universities, and innovative SMEs in Europe and Korea, thus ensuring close cooperation and balanced effort between the two regions. The project will foster a long-term partnership between the two regions, which will help Europe and Korea retain the competitive edge in the fierce global 5G competition.
|PriMO-5G use case scenarios||Documents, reports||2019-10-29 14:25:15|
|Demonstration plan||Documents, reports||2019-10-29 14:25:11|
|Initial design of MEC and Network Slice Manager||Documents, reports||2019-10-29 14:25:09|
|Project website||Websites, patent fillings, videos etc.||2019-10-29 14:25:11|
|Intermediate report on AI-assisted networking and edge computing||Documents, reports||2019-10-29 14:25:09|
|Intermediate report on 5G cell free radio access technologies||Documents, reports||2019-10-29 14:25:29|
|Project quality assurance plan||Documents, reports||2019-10-29 14:25:13|
Take a look to the deliverables list in detail: detailed list of PriMO-5G deliverables.
|year||authors and title||journal||last update|
Chao Zhu, Jin Tao, Giancarlo Pastor, Yu Xiao, Yusheng Ji, Quan Zhou, Yong Li, Antti Yla-Jaaski
Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing
published pages: 4150-4161, ISSN: 2327-4662, DOI: 10.1109/JIOT.2018.2875520
|IEEE Internet of Things Journal 6/3||2019-08-30|
Chao Zhu, Giancarlo Pastor, Yu Xiao, Antti Ylajaaski
Vehicular Fog Computing for Video Crowdsourcing: Applications, Feasibility, and Challenges
published pages: 58-63, ISSN: 0163-6804, DOI: 10.1109/MCOM.2018.1800116
|IEEE Communications Magazine 56/10||2019-08-30|
MyungJae Shin, Joongheon Kim, Marco Levorato
Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks
published pages: 4235-4248, ISSN: 0018-9545, DOI: 10.1109/tvt.2019.2903144
|IEEE Transactions on Vehicular Technology 68/5||2019-08-30|
Seunghwan Kim, Han Cha, Jeemin Kim, Seung-Woo Ko, Seong-Lyun Kim
Sense-and-Predict: Harnessing Spatial Interference Correlation for Cognitive Radio Networks
published pages: 2777-2793, ISSN: 1536-1276, DOI: 10.1109/twc.2019.2908168
|IEEE Transactions on Wireless Communications 18/5||2019-08-30|
Minseok Choi, Daejung Yoon, Joongheon Kim
Blind Signal Classification for Non-Orthogonal Multiple Access in Vehicular Networks
published pages: 1-1, ISSN: 0018-9545, DOI: 10.1109/tvt.2019.2932407
|IEEE Transactions on Vehicular Technology||2019-08-30|
Jinho Choi, Seung-Woo Ko, Koji Yamamoto, Seong-Lyun Kim
Random Access with Opportunity Detection in Wireless Networks
published pages: 1-1, ISSN: 2162-2337, DOI: 10.1109/lwc.2019.2921367
|IEEE Wireless Communications Letters||2019-08-30|
Hamed Hellaoui, Oussama Bekkouche, Miloud Bagaa, Tarik Taleb
Aerial Control System for Spectrum Efficiency in UAV-to-Cellular Communications
published pages: 108-113, ISSN: 0163-6804, DOI: 10.1109/MCOM.2018.1800078
|IEEE Communications Magazine 56/10||2019-08-30|
Estifanos Yohannes Menta, Nicolas Malm, Riku Jantti, Kalle Ruttik, Mario Costa, Kari Leppanen
On the Performance of AoAâ€“Based Localization in 5G Ultraâ€“Dense Networks
published pages: 33870-33880, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2019.2903633
|IEEE Access 7||2019-08-30|
Naser Hossein Motlagh, Miloud Bagaa, Tarik Taleb
Energy and Delay Aware Task Assignment Mechanism for UAV-Based IoT Platform
published pages: 6523-6536, ISSN: 2327-4662, DOI: 10.1109/JIOT.2019.2907873
|IEEE Internet of Things Journal 6/4||2019-08-30|
Tian Xie, Linglong Dai, Derrick Wing Kwan Ng, Chan-Byoung Chae
On the Power Leakage Problem in Millimeter-Wave massive MIMO with Lens Antenna Arrays
published pages: 1-1, ISSN: 1053-587X, DOI: 10.1109/tsp.2019.2926019
|IEEE Transactions on Signal Processing Volume: 67 , Issue: 18||2019-08-30|
Jaeyoung Song, Wan Choi
Mobility-Aware Content Placement for Device-to-Device Caching Systems
published pages: 3658-3668, ISSN: 1536-1276, DOI: 10.1109/twc.2019.2916781
|IEEE Transactions on Wireless Communications 18/7||2019-08-30|
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