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5 papers · 1 filter
The Final Frontier: Deep Learning in Space
Vivek Kothari, Edgar Liberis, Nicholas D. Lane
Machine learning, particularly deep learning, is being increasing utilised in space applications, mirroring the groundbreaking success in many earthbound problems. Deploying a spac…
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…
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…
MIND: Model Independent Neural Decoder
Yihan Jiang, Hyeji Kim, Himanshu Asnani +1
Standard decoding approaches rely on model-based channel estimation methods to compensate for varying channel effects, which degrade in performance whenever there is a model mismat…