20 citations · 46 across the 17 of their papers we have counts for
17 papers
Aggressive Non-Orthogonal Transmission with DFT-s-OFDM for Direct Device-to-Satellite Communications
Chathura Jayawardena, Konstantinos Nikitopoulos
Direct Device-to-Satellite (D2S) communications promise global connectivity to unmodified user equipment (UE), extending coverage beyond terrestrial networks. Realizing this promis…
A Comparative Analysis of Ising Formulations for Neuromorphic Maximum-Likelihood Channel Decoding
George N. Katsaros, Morgan Sabine, Konstantinos Nikitopoulos
Neuromorphic computing has so far been driven predominantly by machine-learning workloads, yet its underlying properties also make it particularly well suited to combinatorial opti…
Low-Complexity, Space Splitting-based User Selection in MU-MIMO for Massive Connectivity and AI-Native Traffic
João Paulo S. H. Lima, Marcin L. Filo, Chathura Jayawardena +1
The rise of Artificial Intelligence (AI)-driven services, machine-type communications, and massive Internet of Things (IoT) deployments is reshaping wireless traffic toward dense,…
NL-COMM-Sat: Breaking the Direct Device-to-Satellite Communication Barrier via "Aggressive" Non-Orthogonal Transmissions and Non-Linear Processing
Konstantinos Nikitopoulos, Chathura Jayawardena
Direct Device-to-Satellite (D2S) communications, which enable direct satellite connectivity with unmodified user equipment (UE), not only expand global coverage but also reshape th…
ViPer NL-COMM: Making Vector Perturbation Precoding Practical
Thomas James Thomas, George N. Katsaros, Chathura Jayawardena +1
Large MIMO systems rely on efficient downlink precoding to enhance data rates and improve connectivity through spatial multiplexing. However, currently employed linear precoding te…
Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications
George N. Katsaros, Konstantinos Nikitopoulos
Neuromorphic computing, inspired by biological neural systems, has emerged as a promising approach for ultra-energy-efficient data processing by leveraging analog neuron structures…
Power-Efficient RAN Intelligent Controllers Through Optimized KPI Monitoring
João Paulo S. H. Lima, George N. Katsaros, Konstantinos Nikitopoulos
The Open Radio Access Network (RAN) paradigm envisions a more flexible, interoperable, and intelligent RAN ecosystem via new open interfaces and elements like the RAN Intelligent C…
NL-COMM: Enhanced Video Streaming via Advanced Non-Linear Processing
Marcin Filo, George N. Katsaros, Chathura Jayawardena +1
With video streaming now accounting for the majority of internet traffic, wireless networks face increasing demands, especially in densely populated areas where limited spectral re…
NL-COMM: Demonstrating Gains of Non-Linear Processing in Open-RAN Ecosystem
Chathura Jayawardena, Marcin Filo, George N. Katsaros +1
Multi-user multiple-input, multiple-output (MU-MIMO) designs can substantially increase wireless systems' achievable throughput and connectivity capabilities. However, existing MU-…
Ultra-Low-Complexity, Non-Linear Processing for MU-MIMO Systems
Chathura Jayawardena, Konstantinos Nikitopoulos
Non-linear detection schemes can substantially improve the achievable throughput and connectivity capabilities of uplink MU-MIMO systems that employ linear detection. However, the…
Enabling Ultra-Dense, Open-RAN, Vehicular Networks with Non-Linear MIMO Processing
George N. Katsaros, Konstantinos Nikitopoulos
Future autonomous transportation systems necessitate network infrastructure capable of accommodating massive vehicular connectivity, despite the scarce availability of frequency re…
Towards Neuromorphic Processing for Next-Generation MU-MIMO Detection
G. N. Katsaros, J. C. De Luna Ducoing, Konstantinos Nikitopoulos
Upcoming physical layer (PHY) processing solutions, leveraging multiple-input multiple-output (MIMO) advances, are expected to support broad transmission bandwidths and the concurr…
Towards Radio Designs with Non-Linear Processing for Next Generation Mobile Systems
Konstantinos Nikitopoulos, Marcin Filo, Chathura Jayawardena +1
MIMO mobile systems, with a large number of antennas at the base-station side, enable the concurrent transmission of multiple, spatially separated information streams and, therefor…
Approximate MIMO Iterative Processing with Adjustable Complexity Requirements
Konstantinos Nikitopoulos, Gerd Ascheid
Targeting always the best achievable bit error rate (BER) performance in iterative receivers operating over multiple-input multiple-output (MIMO) channels may result in significant…
Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping
Konstantinos Nikitopoulos, Gerd Ascheid
A-posteriori probability (APP) receivers operating over multiple-input, multiple-output channels provide enhanced bit error rate (BER) performance at the cost of increased complexi…
MIMO APP Receiver Processing with Performance-Determined Complexity
Konstantinos Nikitopoulos, Gerd Ascheid
Typical receiver processing, targeting always the best achievable bit error rate performance, can result in a waste of resources, especially, when the transmission conditions are s…
Complexity-Efficient Enumeration Techniques for Soft-Input, Soft-Output Sphere Decoding
Konstantinos Nikitopoulos, Dan Zhang, I-Wei Lai +1
In this paper two complexity efficient soft sphere-decoder modifications are proposed for computing the max-log LLR values in iterative MIMO systems, which avoid the costly, typica…