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๐Ÿ” mingqiao mo ๐Ÿ“‚ Engineering
Showing 52 results for "mingqiao mo" in Engineering
Engineering Preprint PDF DOI

The manifold of unitary and symmetric matrices: characterization, Riemannian optimization and application to BD-RIS design

Ignacio Santamaria, Carlos Beltran, Eduard Jorswieck, Mohammad Soleymani, Jesus Gutierrez ยท 2026

This paper proposes and analyzes Riemannian optimization algorithms on the manifold of unitary and symmetric matrices, denoted ${\cal {U}}_s$, which naturally models the scattering matrices of passiveโ€ฆ

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Engineering Preprint PDF DOI

Rank-Aware Link Adaptation for XR Tethering Groups with Realistic Tethering Link: A Multi-Offset OLLA Framework

Muhammad Ahsen, Boyan Yanakiev, Claudio Rosa, Ramoni Adeogun ยท 2026

We investigate higher-rank transmissions for multi-connected Extended Reality (XR) devices enabled through tethering group (TGr), in which a nearby tethering User Equipment (UE) cooperates with an XR โ€ฆ

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Engineering Preprint PDF DOI

Set Transformer-Based Beamforming Design for Cell-Free Integrated Sensing and Communication

Ranga Kulathunga, Diluka Galappaththige, Gayan Aruma Baduge, Chintha Tellambura ยท 2026

Existing cell-free integrated sensing and communication (CF-ISAC) beamforming algorithms predominantly rely on classical optimization techniques, which often entail high computational complexity and lโ€ฆ

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Engineering Preprint PDF DOI

E-SocialNav: Efficient Socially Compliant Navigation with Language Models

Ling Xiao, Daeun Song, Xuesu Xiao, Toshihiko Yamasaki ยท 2026

Language models (LMs) are increasingly applied to robotic navigation; however, existing benchmarks primarily emphasize navigation success rates while paying limited attention to social compliance. Morโ€ฆ

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Engineering Preprint PDF DOI

MO-Playground: Massively Parallelized Multi-Objective Reinforcement Learning for Robotics

Neil Janwani, Ellen Novoseller, Vernon J. Lawhern, Maegan Tucker ยท 2026

Multi-objective reinforcement learning (MORL) is a powerful tool to learn Pareto-optimal policy families across conflicting objectives. However, unlike traditional RL algorithms, existing MORL algoritโ€ฆ

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Engineering Preprint PDF DOI

Toward Global Intent Inference for Human Motion by Inverse Reinforcement Learning

Sarmad Mehrdad, Maxime Sabbah, Vincent Bonnet, Ludovic Righetti ยท 2026

This paper investigates whether a single, unified cost function can explain and predict human reaching movements, in contrast with existing approaches that rely on subject- or posture-specific optimizโ€ฆ

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Engineering Preprint PDF DOI

Riemannian optimization on the manifold of unitary and symmetric matrices with application to BD-RIS-assisted systems

Ignacio Santamaria, Mohammad Soleymani, Eduard Jorswieck, Jesus Gutierrez, Carlos Beltran ยท 2026

In this paper, we rigorously characterize for the first time the manifold of unitary and symmetric matrices, deriving its tangent space and its geodesics. The resulting parameterization of the geodesiโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Resource Allocation Scheme for Bistatic ISAC with Data Channels

Marcus Henninger, Lucas Giroto, Ahmed Elkelesh, Silvio Mandelli ยท 2026

Bistatic integrated sensing and communication (ISAC) enables efficient reuse of the existing cellular infrastructure and is likely to play an important role in future sensing networks. In this contextโ€ฆ

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Engineering Preprint PDF DOI

MO-SeGMan: Rearrangement Planning Framework for Multi Objective Sequential and Guided Manipulation in Constrained Environments

Cankut Bora Tuncer, Marc Toussaint, Ozgur S. Oguz ยท 2025

In this work, we introduce MO-SeGMan, a Multi-Objective Sequential and Guided Manipulation planner for highly constrained rearrangement problems. MO-SeGMan generates object placement sequences that miโ€ฆ

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Engineering Preprint PDF DOI

Integrated Sensing and Communication with Tri-Hybrid Beamforming Across Electromagnetically Reconfigurable Antennas

Jiangong Chen, Xia Lei, Yuchen Zhang, Kaitao Meng, Christos Masouros ยท 2025

Beamforming with a sufficient number of antennas is one of the most significant technologies for both Multi-user (MU) Multiple-input Multiple-output (MIMO) communication and MIMO radar sensing in Inteโ€ฆ

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Engineering Preprint PDF DOI

Development of a Linear Guide-Rail Testbed for Physically Emulating ISAM Operations

Robert Muldrow, Channing Ludden, Christopher Petersen ยท 2025

In-Space Servicing, Assembly, and Manufacturing (ISAM) is a set of emerging operations that provides several benefits to improve the longevity, capacity, mo- bility, and expandability of existing and โ€ฆ

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Engineering Preprint PDF DOI

Learning Human Reaching Optimality Principles from Minimal Observation Inverse Reinforcement Learning

Sarmad Mehrdad, Maxime Sabbah, Vincent Bonnet, Ludovic Righetti ยท 2025

This paper investigates the application of Minimal Observation Inverse Reinforcement Learning (MO-IRL) to model and predict human arm-reaching movements with time-varying cost weights. Using a planar โ€ฆ

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Engineering Preprint PDF DOI

Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization

Sven Hinderer, Pascal Schlachter, Zhibin Yu, Xiaofeng Wu, Bin Yang ยท 2025

We extend our work on a novel indoor positioning system (IPS) for autonomous mobile robots (AMRs) based on radar sensing of local, passive radar reflectors. Through the combination of simple reflectorโ€ฆ

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Engineering Preprint PDF DOI

Robust Optimization for Movable Antenna-aided Cell-Free ISAC with Time Synchronization Errors

Yue Xiu, Yang Zhao, Ran Yang, Wanting Lyu, Dusit Niyato, Dong In Kim, Guangyi Liu, Ning Wei ยท 2025

The cell-free integrated sensing and communication (CF-ISAC) system, which effectively mitigates intra-cell interference and provides precise sensing accuracy, is a promising technology for future 6G โ€ฆ

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Engineering Preprint PDF DOI

Meta-Reinforcement Learning Optimization for Movable Antenna-aided Full-Duplex CF-DFRC Systems with Carrier Frequency Offset

Yue Xiu, Wanting Lyu, You Li, Ran Yang, Phee Lep Yeoh, Wei Zhang, Guangyi Liu, Ning Wei ยท 2025

By enabling spectrum sharing between radar and communication operations, the cell-free dual-functional radar-communication (CF-DFRC) system is a promising candidate to significantly improve spectrum eโ€ฆ

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Engineering Preprint PDF DOI

Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication

Zeyuan Zhang, Yue Xiu, Phee Lep Yeoh, Guangyi Liu, Zixing Wu, Ning Wei ยท 2025

This paper investigates a practical partially-connected hybrid beamforming transmitter for integrated sensing and communication (ISAC) with distortion from nonlinear power amplification. For this ISACโ€ฆ

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Engineering Preprint PDF DOI

Performance Analysis of Multi-IRS Aided Multiple Operator Systems at mmWave Frequencies

Souradeep Ghosh, L. Yashvanth, Chandra R. Murthy ยท 2025

Intelligent reflecting surfaces (IRSs) are envisioned to enhance the performance of mmWave wireless systems. In practice, multiple mobile operators (MO) coexist in an area and provide simultaneous andโ€ฆ

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Engineering Preprint PDF DOI

Modelowanie nieliniowej charakterystyki szerokopasmowych wzmacniaczy radiowych o zmiennym napi\k{e}ciu zasilania; Modeling Nonlinear Characteristics of Wideband Radio Frequency Amplifiers with Variable Supply Voltage

Kornelia Kostrzewska, Pawe{l} Kryszkiewicz ยท 2025

The work aims to propose a new nonlinear characteristics model for a wideband radio amplifier of variable supply voltage. An extended Rapp model proposal is presented. The proposed model has been veriโ€ฆ

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Engineering Preprint PDF DOI

Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development

Danial Khatamsaz, Joseph Wagner, Brent Vela, Raymundo Arroyave, Douglas L. Allaire ยท 2025

Accelerated discovery in materials science demands autonomous systems capable of dynamically formulating and solving design problems. In this work, we introduce a novel framework that leverages Bayesiโ€ฆ

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Engineering Preprint PDF DOI

Deep Reinforcement Learning for Trajectory and Phase Shift Optimization of Aerial RIS in CoMP-NOMA Networks

Muhammad Umer, Muhammad Ahmed Mohsin, Aamir Mahmood, Kapal Dev, Haejoon Jung, Mikael Gidlund, Syed Ali Hassan ยท 2024

This paper explores the potential of aerial reconfigurable intelligent surfaces (ARIS) to enhance coordinated multi-point non-orthogonal multiple access (CoMP-NOMA) networks. We consider a system modeโ€ฆ

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