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20182022
most citedEnabling FDD Massive MIMO through Deep Learning-based Channel Prediction

45 citations · 166 across the 16 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.HC2021

MaxRay: A Raytracing-based Integrated Sensing and Communication Framework

M. Arnold, M. Bauhofer, S. Mandelli +4

Integrated Sensing And Communication (ISAC)forms a symbiosis between the human need for communication and the need for increasing productivity, by extracting environmental informat…

cs.NI2021

Self-Supervised Radio-Visual Representation Learning for 6G Sensing

Mohammed Alloulah, Akash Deep Singh, Maximilian Arnold

In future 6G cellular networks, a joint communication and sensing protocol will allow the network to perceive the environment, opening the door for many new applications atop a uni…

eess.SP2021

Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer

Brian Rappaport, Emre Gönültaş, Jakob Hoydis +3

Channel charting is an emerging technology that enables self-supervised pseudo-localization of user equipments by performing dimensionality reduction on large channel-state informa…

cs.LG2021★ 2 cited

Deep Inertial Navigation using Continuous Domain Adaptation and Optimal Transport

Mohammed Alloulah, Maximilian Arnold, Anton Isopoussu

In this paper, we propose a new strategy for learning inertial robotic navigation models. The proposed strategy enhances the generalisability of end-to-end inertial modelling, and…

cs.IT2021

Indoor positioning systems: Smart fusion of a variety of sensor readings

M. Arnold, F. Schaich

Robust and versatile localization techniques are key to the success of the next industrial revolution. Yet, it is uncertain which combination of sensors will be the most robust and…

cs.IT2021★ 31 cited

Massive-MIMO Iterative Channel Estimation and Decoding (MICED) in the Uplink

Daniel Verenzuela, Emil Björnson, Xiaojie Wang +2

Massive MIMO uses a large number of antennas to increase the spectral efficiency (SE) through spatial multiplexing of users, which requires accurate channel state information. It i…

eess.SP2021★ 20 cited

A Computationally Efficient 2D MUSIC Approach for 5G and 6G Sensing Networks

Marcus Henninger, Silvio Mandelli, Maximilian Arnold +1

Future cellular networks are intended to have the ability to sense the environment by utilizing reflections of transmitted signals. Multi-dimensional sensing brings along the cruci…