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๐Ÿ” omer tripp ๐Ÿ“‚ Engineering
Showing 1361 results for "omer tripp" in Engineering
Engineering Preprint PDF DOI

Bitwise Over-Parameterized Neural Polar Decoding: A Theoretical Performance Analysis

Hongzhi Zhu, Wei Xu, Xiaohu You ยท 2026

This paper proposes a bitwise over-parameterized neural network (ONN) decoder for polar-coded transmission and develops a tractable theoretical performance analysis framework. By modeling each synthesโ€ฆ

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SEP Analysis of Quantized SIMO Systems with M-PSK over Correlated Fading Channels

Amila Ravinath, Bikshapathi Gouda, Italo Atzeni, Antti Tolli ยท 2026

The average symbol error probability (SEP) of a phase-quantized single-input multiple-output system with M-ary phase-shift keying modulation and maximum ratio combining (MRC) is analyzed under correlaโ€ฆ

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Split over $n$ resource sharing problem: Are fewer capable agents better than many simpler ones?

Karthik Soma, Mohamed S. Talamali, Genki Miyauchi, Giovanni Beltrame, Heiko Hamann, Roderich Gross ยท 2026

In multi-agent systems, should limited resources be concentrated into a few capable agents or distributed among many simpler ones? This work formulates the split over $n$ resource sharing problem wherโ€ฆ

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Engineering Preprint PDF DOI

Triple-Phase Sequential Fusion Network for Hepatobiliary Phase Liver MRI Synthesis

Qiuli Wang, Xinhuan Sun, Fengxi Chen, Yongxu Liu, Jie Cheng, Lin Chen, Jiafei Chen, Yue Zhang, Xiaoming Li, Wei Chen ยท 2026

Gadoxetate disodium-enhanced MRI is essential for the detection and characterization of hepatocellular carcinoma. However, acquisition of the hepatobiliary phase (HBP) requires a prolonged post-contraโ€ฆ

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Engineering Preprint PDF DOI

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving

Anjie Qiu, Donglin Wang, Zexin Fang, Sanket Partani, Hans D. Schotten ยท 2026

Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present SwarmDrive, a semantic Vโ€ฆ

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Robust Resource Allocation in RIS-Assisted Wireless Networks Integrating NOMA and Over-the-Air Federated Learning

Saeid Pakravan, Mohsen Ahmadzadeh, Ming Zeng, Ghosheh Abed Hodtani, Xingwang Li, Ji Wang, Gongpu Wang ยท 2026

This paper addresses the critical issue of spectrum scarcity and the need to support diverse services, including communication and learning tasks, by presenting a reconfigurable intelligent surface (Rโ€ฆ

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Engineering Preprint PDF DOI

Convergence Time Distributions for Max-Consensus over Unreliable Networks

Katharina Stich, Bastian Perner, Friedemann Laue, Torsten Reissland, Norman Franchi ยท 2026

This paper proposes the LiFE-CD algorithm for convergence time analysis of the max-consensus algorithm in multi-agent systems under Bernoulli-distributed link failures. Unlike existing approaches, whiโ€ฆ

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Optimal Decentralized Dynamic Energy Management over Asynchronous Peer-to-Peer Transactive Networks via Operator Splitting

Xi Zhang, Huqiang Cheng, Guo Chen, Huaqing Li, Liang Ran, Jinhui Hu, Tingwen Huang ยท 2026

Peer-to-peer (P2P) energy management facilitates decentralized resource allocation among prosumers, improving local hosting capacity for renewables and minimizing energy expenditures while ensuring daโ€ฆ

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Distributed Resilient Fixed-Time Control for Cooperative Output Regulation of MASs over Directed Graphs under DoS Attacks

Wenji Cao, Lu Liu, Dan Zhang, Gang Feng ยท 2026

This paper addresses the problem of fixed-time cooperative output regulation for linear multi-agent systems over directed graphs under denial-of-service attacks. A novel distributed resilient fixed-tiโ€ฆ

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Robotic Manipulation is Vision-to-Geometry Mapping ($f(v) \rightarrow G$): Vision-Geometry Backbones over Language and Video Models

Zijian Song, Qichang Li, Jiawei Zhou, Zhenlong Yuan, Tianshui Chen, Liang Lin, Guangrun Wang ยท 2026

At its core, robotic manipulation is a problem of vision-to-geometry mapping ($f(v) \rightarrow G$). Physical actions are fundamentally defined by geometric properties like 3D positions and spatial reโ€ฆ

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Scalable Optimization for Mobility-Aware Coordinated Electric Vehicle Charging in Distribution Power Networks

Yi Ju, Lunlong Li, Jingchun Wang, Scott Moura ยท 2026

Rapid growth in electric-vehicle (EV) charging demand is placing increasing stress on distribution power networks (DPNs), whose hosting capacity is often limited and spatially uneven. Beyond demonstraโ€ฆ

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An Embedded Boundary Scheme for Three-Dimensional Flow Over Terrain on a Staggered Mesh

Soonpil Kang, Ann S. Almgren, Mahesh Natarajan, Aaron M. Lattanzi, Jeffrey D. Mirocha, Katie Lundquist, Jordan Musser, Weiqun Zhang ยท 2026

This paper describes an embedded boundary (EB) approach for simulating three-dimensional fluid flow on a staggered mesh where the velocity components are defined on cell faces and the thermodynamic stโ€ฆ

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Analysis and Enhancement of Incremental-Quantity-Based Distance Protection With Grid-Forming Inverters

Henrik Johansson, Qianli Xing, Nathaniel Taylor, Xiongfei Wang ยท 2026

Grid-forming (GFM) inverters are expected in future inverter-dominated grids. In such grids, time-domain protection schemes, for example those based on instantaneous incremental quantities (IQs), are โ€ฆ

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Agentic Workflows for Resolving Conflict Over Shared Resources: A Power Grid Application

Shiva Poudel, Thiagarajan Ramachandran, Orestis Vasios, Andrew P. Reiman ยท 2026

The increasing use of LLM-based agents to support decision-making and control across diverse domains motivates the need for systematic deconfliction of their proposed actions. We present a deconflictiโ€ฆ

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Bandwidth reduction methods for packetized MPC over lossy networks

Alberto Mingoia, Matthias Pezzutto, Fernando S Barbosa, David Umsonst ยท 2026

We study the design of an offloaded model predictive control (MPC) operating over a lossy communication channel. We introduce a controller design that utilizes two complementary bandwidth-reduction meโ€ฆ

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Learning over Forward-Invariant Policy Classes: Reinforcement Learning without Safety Concerns

Chieh Tsai, Muhammad Junayed Hasan Zahed, Salim Hariri, Hossein Rastgoftar ยท 2026

This paper proposes a safe reinforcement learning (RL) framework based on forward-invariance-induced action-space design. The control problem is cast as a Markov decision process, but instead of relyiโ€ฆ

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Learning to Coordinate over Networks with Bounded Rationality

Zhewei Wang, Emrah Akyol, Marcos M. Vasconcelos ยท 2026

Network coordination games are widely used to model collaboration among interconnected agents, with applications across diverse domains including economics, robotics, and cyber-security. We consider nโ€ฆ

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Low-complexity Frequency Domain Equalization for filtered-AFDM over General Physical Channels

Cheng Shen, Chenyang Zhang, Jinhong Yuan ยท 2026

Affine frequency division multiplexing (AFDM) has emerged as a promising waveform for high-mobility communications. However, its equalization remains a practical challenge under general physical channโ€ฆ

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Pilot Allocation for Multi-Hop Over-the-Air Neural Inference under Imperfect CSI

Tolga Girici, Meng Hua, Deniz Gunduz ยท 2026

A multi-hop amplify-and-forward (AF) relay network can emulate a fully connected (FC) neural network layer via over-the-air (OTA) computation. However, achieving high emulation accuracy requires accurโ€ฆ

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Flexible Electric Vehicle Charging with Karma

Ezzat Elokda, Ruiting Wang, Karl H. Johansson, Angela Fontan ยท 2026

Motivated by the need to develop fair and efficient schemes to facilitate the electrification of transport, this paper proposes a non-monetary karma economy for flexible Electric Vehicle (EV) chargingโ€ฆ

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