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Found 7 papers, 0 papers with code
Optimized Detection with Analog Beamforming for Monostatic Integrated Sensing and Communication
In this paper, we formalize an optimization framework for analog beamforming in the context of monostatic integrated sensing and communication (ISAC), where we also address the problem of self-interference in the analog domain.
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
An important use case of next-generation wireless systems is device-edge co-inference, where a semantic task is partitioned between a device and an edge server.
BiSPARCs for Unsourced Random Access in Massive MIMO
The detection step is followed by a per-user soft-input-soft-output (SISO) decoding of the outer channel code in combination with a successive interference cancellation (SIC) step.
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication
This paper addresses the problem of decentralized spectrum sharing in vehicle-to-everything (V2X) communication networks.
Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems
Cloud-radio access network (C-RAN) can enable cell-less operation by connecting distributed remote radio heads (RRHs) via fronthaul links to a powerful central unit.
Option Pricing with Heavy-Tailed Distributions of Logarithmic Returns
A growing body of literature suggests that heavy tailed distributions represent an adequate model for the observations of log returns of stocks.
Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade
This paper presents a Bayesian nonparametric latent feature model specially suitable for exploratory analysis of high-dimensional count data.
