1.5k citations · 2k across the 19 of their papers we have counts for
22 papers
Sparse MIMO-OFDM Channel Estimation via RKHS Regularization
James Delfeld, Gian Marti, Chris Dick
We propose a method for channel estimation in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) wireless communication systems. The method exp…
A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks
Qing An, Santiago Segarra, Chris Dick +2
The large number of antennas in massive MIMO systems allows the base station to communicate with multiple users at the same time and frequency resource with multi-user beamforming.…
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems
Reinhard Wiesmayr, Chris Dick, Jakob Hoydis +1
Iterative detection and decoding (IDD) is known to achieve near-capacity performance in multi-antenna wireless systems. We propose deep-unfolded interleaved detection and decoding…
6G Digital Twin Networks: From Theory to Practice
Xingqin Lin, Lopamudra Kundu, Chris Dick +2
Digital twin networks (DTNs) are real-time replicas of physical networks. They are emerging as a powerful technology for design, diagnosis, simulation, what-if-analysis, and artifi…
Accelerated massive MIMO detector based on annealed underdamped Langevin dynamics
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady +2
We propose a multiple-input multiple-output (MIMO) detector based on an annealed version of the \emph{underdamped} Langevin (stochastic) dynamic. Our detector achieves state-of-the…
Bit Error and Block Error Rate Training for ML-Assisted Communication
Reinhard Wiesmayr, Gian Marti, Chris Dick +2
Even though machine learning (ML) techniques are being widely used in communications, the question of how to train communication systems has received surprisingly little attention.…
Low Complexity Hybrid Beamforming for mmWave Full-Duplex Integrated Access and Backhaul
Elyes Balti, Chris Dick, Brian L. Evans
We consider an integrated access and backhaul (IAB) node operating in full-duplex (FD) mode. We analyze simultaneous transmission from the New Radio gNB to the IAB node on the back…
Annealed Langevin Dynamics for Massive MIMO Detection
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady +2
Solving the optimal symbol detection problem in multiple-input multiple-output (MIMO) systems is known to be NP-hard. Hence, the objective of any detector of practical relevance is…
Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard
Debashri Roy, Batool Salehi, Stella Banou +7
Incorporating artificial intelligence and machine learning (AI/ML) methods within the 5G wireless standard promises autonomous network behavior and ultra-low-latency reconfiguratio…
Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady +2
Optimal symbol detection in multiple-input multiple-output (MIMO) systems is known to be an NP-hard problem. Hence, the objective of any detector of practical relevance is to get r…
Robust MIMO Detection using Hypernetworks with Learned Regularizers
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady +2
Optimal symbol detection in multiple-input multiple-output (MIMO) systems is known to be an NP-hard problem. Recently, there has been a growing interest to get reasonably close to…
Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification
Samer Hanna, Chris Dick, Danijela Cabric
Blindly decoding a signal requires estimating its unknown transmit parameters, compensating for the wireless channel impairments, and identifying the modulation type. While deep le…
Combining Deep Learning and Linear Processing for Modulation Classification and Symbol Decoding
Samer Hanna, Chris Dick, Danijela Cabric
Deep learning has been recently applied to many problems in wireless communications including modulation classification and symbol decoding. Many of the existing end-to-end learnin…
High-Throughput Data Detection for Massive MU-MIMO-OFDM using Coordinate Descent
Michael Wu, Chris Dick, Joseph R. Cavallaro +1
Data detection in massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems is among the most critical tasks due to the excessively high implementation complex…
Linear Large-Scale MIMO Data Detection for 5G Multi-Carrier Waveform Candidates
Nihat Engin Tunali, Michael Wu, Chris Dick +1
Fifth generation (5G) wireless systems are expected to combine emerging transmission technologies, such as large-scale multiple-input multiple-output (MIMO) and non-orthogonal mult…
Multiuser MIMO Beamforming with Full-duplex Open-loop Training
Xu Du, John Tadrous, Chris Dick +1
In this paper, full-duplex radios are used to continuously update the channel state information at the transmitter, which is required to compute the downlink precoding matrix in MI…
Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations
Michael Wu, Bei Yin, Guohui Wang +3
Large-scale (or massive) multiple-input multiple-output (MIMO) is expected to be one of the key technologies in next-generation multi-user cellular systems, based on the upcoming 3…
Vector Bin-and-Cancel for MIMO Distributed Full-Duplex
Jingwen Bai, Chris Dick, Ashutosh Sabharwal
In a multi-input multi-output (MIMO) full-duplex network, where an in-band full-duplex infrastruc- ture node communicates with two half-duplex mobiles supporting simultaneous up- a…
On the Impact of Phase Noise on Active Cancellation in Wireless Full-Duplex
Achaleshwar Sahai, Gaurav Patel, Chris Dick +1
Recent experimental results have shown that full-duplex communication is possible for short-range communications. However, extending full-duplex to long-range communication remains…
Self-Interference Cancellation in Multi-hop Full-Duplex Networks via Structured Signaling
Evan Everett, Debashis Dash, Chris Dick +1
This paper discusses transmission strategies for dealing with the problem of self-interference in multi-hop wireless networks in which the nodes communicate in a full- duplex mode.…
Experiment-driven Characterization of Full-Duplex Wireless Systems
Melissa Duarte, Chris Dick, Ashutosh Sabharwal
We present an experiment-based characterization of passive suppression and active self-interference cancellation mechanisms in full-duplex wireless communication systems. In partic…
Beamforming in MISO Systems: Empirical Results and EVM-based Analysis
Melissa Duarte, Ashutosh Sabharwal, Chris Dick +1
We present an analytical, simulation, and experimental-based study of beamforming Multiple Input Single Output (MISO) systems. We analyze the performance of beamforming MISO system…