695 citations
- KTH Royal Institute of TechnologySE45 papers
- Chalmers University of TechnologySE40 papers
- Linköping UniversitySE14 papers
- Blekinge Institute of TechnologySE10 papers
- King Abdullah University of Science and TechnologySA7 papers
- Lund UniversitySE7 papers
- Cornell UniversityUS6 papers
- Aalto UniversityFI5 papers
- DoCoMo Communications Laboratories Europe GmbHDE5 papers
- Orange (France)FR5 papers
- University of Maryland, College ParkUS5 papers
- Uppsala UniversitySE5 papers
13 papers · 2 filters
Predictor Antenna: A Technique to Boost the Performance of Moving Relays
Hao Guo, Behrooz Makki, Dinh-Thuy Phan-Huy +3
In future wireless systems, a large number of users may access the networks via moving relays (MRs) installed on top of vehicles. One of the main challenges of MRs is rapid channel…
Deep-Learning based Multiuser Detection for NOMA
Krishna Chitti, Joao Vieira, Behrooz Makki
In this paper, we study an application of deep learning to uplink multiuser detection (MUD) for non-orthogonal multiple access (NOMA) scheme based on Welch bound equality spread mu…
Robust Localization in Wireless Networks From Corrupted Signals
Muhammad Osama, Dave Zachariah, Satyam Dwivedi +1
We address the problem of timing-based localization in wireless networks, when an unknown fraction of data is corrupted by nonideal signal conditions. While timing-based techniques…
Finite-Alphabet Wiener Filter Precoding for mmWave Massive MU-MIMO Systems
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
Power consumption of multi-user (MU) precoding is a major concern in all-digital massive MU multiple-input multiple-output (MIMO) base-stations with hundreds of antenna elements op…
Soft-Output Finite Alphabet Equalization for mmWAVE Massive MIMO
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
Next-generation wireless systems are expected to combine millimeter-wave (mmWave) and massive multi-user multiple-input multiple-output (MU-MIMO) technologies to deliver high data-…
Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
We propose finite-alphabet equalization, a new paradigm that restricts the entries of the spatial equalization matrix to low-resolution numbers, enabling high-throughput, low-power…