353 citations
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9 papers · 1 filter
Mobility and Coverage Evaluation of New Radio PDCCH for Point-to-Multipoint Scenario
Hongzhi Chen, De Mi, Belkacem Mouhouche +2
This paper provides the mobility and coverage evaluation of New Radio (NR) Physical Downlink Control Channel (PDCCH) for Point-to-Multipoint (PTM) use cases, e.g., eMBMS (evolved M…
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang, Hyeji Kim, Himanshu Asnani +3
Designing codes that combat the noise in a communication medium has remained a significant area of research in information theory as well as wireless communications. Asymptotically…
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images
Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic
In this paper, we study the novel problem of not only predicting ingredients from a food image, but also predicting the relative amounts of the detected ingredients. We propose two…
Evaluation of Low Complexity Massive MIMO Techniques Under Realistic Channel Conditions
Manijeh Bashar, Alister G. Burr, Katsuyuki Haneda +4
A low complexity massive multiple-input multiple-output (MIMO) technique is studied with a geometry-based stochastic channel model, called COST 2100 model. We propose to exploit th…
Techno-economic analyses for vertical use cases in the 5G domain
Sandrine Roblot, Mythri Hunukumbure, Nadège Varsier +5
This paper provides techno-economic analyses on the network deployments to cover 4 key verticals, under 5G-NR. These verticals, namely Automotive, Smart city, Long range connectivi…
Textured Neural Avatars
Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev +9
We present a system for learning full-body neural avatars, i.e. deep networks that produce full-body renderings of a person for varying body pose and camera position. Our system ta…