10 papers
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials
Marko Angjelichinoski, John Choi, Taposh Banerjee +2
Objective. We consider the cross-subject decoding problem from local field potential (LFP) signals, where training data collected from the prefrontal cortex (PFC) of a source subje…
Non-Stationarities in Extra-Large Scale Massive MIMO
Elisabeth De Carvalho, Anum Ali, Abolfazl Amiri +2
Massive MIMO, a key technology for increasing area spectral efficiency in cellular systems, was developed assuming moderately sized apertures. In this paper, we argue that massive…
Minimax-optimal decoding of movement goals from local field potentials using complex spectral features
Marko Angjelichinoski, Taposh Banerjee, John Choi +2
We consider the problem of predicting eye movement goals from local field potentials (LFP) recorded through a multielectrode array in the macaque prefrontal cortex. The monkey is t…
Wireless Access in Ultra-Reliable Low-Latency Communication (URLLC)
Petar Popovski, Čedomir Stefanović, Jimmy J. Nielsen +4
The future connectivity landscape and, notably, the 5G wireless systems will feature Ultra-Reliable Low Latency Communication (URLLC). The coupling of high reliability and low late…
Extremely Large Aperture Massive MIMO: Low Complexity Receiver Architectures
Abolfazl Amiri, Marko Angjelichinoski, Elisabeth de Carvalho +1
This paper focuses on new communication paradigms arising in massive multiple-input-multiple-output systems where the antenna array at the base station is of extremely large dimens…
A Statistical Learning Approach to Ultra-Reliable Low Latency Communication
Marko Angjelichinoski, Kasper Fløe Trillingsgaard, Petar Popovski
Mission-critical applications require Ultra-Reliable Low Latency (URLLC) wireless connections, where the packet error rate (PER) goes down to . Fulfillment of the bold rel…