output
20152024
most cited5G Radio Access Network Architecture for Terrestrial Broadcast Services

68 citations

Showing 2020Show all

6 papers · 1 filter

cs.NI2020★ 3 cited

Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication

Alperen Gündogan, H. Murat Gürsu, Volker Pauli +1

We consider the distributed resource selection problem in Vehicle-to-vehicle (V2V) communication in the absence of a base station. Each vehicle autonomously selects transmission re…

cs.CV2020★ 1 cited

Attentional Bottleneck: Towards an Interpretable Deep Driving Network

Jinkyu Kim, Mayank Bansal

Deep neural networks are a key component of behavior prediction and motion generation for self-driving cars. One of their main drawbacks is a lack of transparency: they should prov…

cs.CV2020★ 44 cited

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Jiyang Gao, Chen Sun, Hang Zhao +4

Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road compone…

cs.CV2020★ 9 cited

STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction

Zhishuai Zhang, Jiyang Gao, Junhua Mao +3

Detecting pedestrians and predicting future trajectories for them are critical tasks for numerous applications, such as autonomous driving. Previous methods either treat the detect…

cs.NI2020★ 68 cited

5G Radio Access Network Architecture for Terrestrial Broadcast Services

Mikko Säily, Carlos Barjau Estevan, Jordi Joan Gimenez +4

The 3rd Generation Partnership Project (3GPP) has defined based on the Long Term Evolution (LTE) enhanced Multicast Broadcast Multimedia Service (eMBMS) a set of new features to su…

cs.NI2020★ 46 cited

Demonstrating Immersive Media Delivery on 5G Broadcast and Multicast Testing Networks

De Mi, Joe Eyles, Tero Jokela +13

This work presents eight demonstrators and one showcase developed within the 5G-Xcast project. They experimentally demonstrate and validate key technical enablers for the future of…