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21 papers · 1 filter
Hybrid Neural/Traditional OFDM Receiver with Learnable Decider
Mohanad Obeed, Ming Jian
Deep learning (DL) methods have emerged as promising solutions for enhancing receiver performance in wireless orthogonal frequency-division multiplexing (OFDM) systems, offering si…
Rate-Distortion-Perception Tradeoff for Gaussian Vector Sources
Jingjing Qian, Sadaf Salehkalaibar, Jun Chen +5
This paper studies the rate-distortion-perception (RDP) tradeoff for a Gaussian vector source coding problem where the goal is to compress the multi-component source subject to dis…
Neural Network Architectures for Optical Channel Nonlinear Compensation in Digital Subcarrier Multiplexing Systems
Ali Bakhshali, Hossein Najafi, Behnam Behinaein Hamgini +1
In this work, we propose to use various artificial neural network (ANN) structures for modeling and compensation of intra- and inter-subcarrier fiber nonlinear interference in digi…
Energy-Efficient Hybrid Offloading for Backscatter-Assisted Wirelessly Powered MEC with Reconfigurable Intelligent Surfaces
S. Zargari, C. Tellambura, S. Herath
We investigate a wireless power transfer (WPT)-based backscatter-mobile edge computing (MEC) network with a {reconfigurable intelligent surface (RIS)}.In this network, wireless dev…
Hierarchical Coded Matrix Multiplication
Shahrzad Kiani, Nuwan Ferdinand, Stark C. Draper
In distributed computing systems slow working nodes, known as stragglers, can greatly extend finishing times. Coded computing is a technique that enables straggler-resistant comput…
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning
Chen Xu, Jian Wang, Tianhang Yu +5
In this paper, the downlink packet scheduling problem for cellular networks is modeled, which jointly optimizes throughput, fairness and packet drop rate. Two genie-aided heuristic…