Search Results for author: Junting Chen

Found 13 papers, 0 papers with code

Energy-modified Leverage Sampling for Radio Map Construction via Matrix Completion

no code implementations12 Apr 2024 Hao Sun, Junting Chen

This paper explores an energy-modified leverage sampling strategy for matrix completion in radio map construction.

Matrix Completion

Diffraction and Scattering Aware Radio Map and Environment Reconstruction using Geometry Model-Assisted Deep Learning

no code implementations1 Mar 2024 Wangqian Chen, Junting Chen

Machine learning (ML) facilitates rapid channel modeling for 5G and beyond wireless communication systems.

Integrated Interpolation and Block-term Tensor Decomposition for Spectrum Map Construction

no code implementations27 Feb 2024 Hao Sun, Junting Chen

This approach leverages an interpolation model with the BTD structure to exploit the spatial correlation of power spectrum maps.

Tensor Decomposition

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation

no code implementations22 Feb 2024 Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo

To bridge this ``ideal-to-real'' gap, this paper presents \textbf{RobotScript}, a platform for 1) a deployable robot manipulation pipeline powered by code generation; and 2) a code generation benchmark for robot manipulation tasks in free-form natural language.

Code Generation Common Sense Reasoning +2

Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN

no code implementations5 Feb 2024 Zezhong Zhang, Guangxu Zhu, Junting Chen, Shuguang Cui

In the 6G era, real-time radio resource monitoring and management are urged to support diverse wireless-empowered applications.

Generative Adversarial Network Management

Radio Map Assisted Approach for Interference-Aware Predictive UAV Communications

no code implementations1 Feb 2024 Bowen Li, Junting Chen

Such predictive optimization raises the second challenge of developing a low-complexity solution for a batch of transmission strategies over T time slots for N receivers before the flight.

Constructing Indoor Region-based Radio Map without Location Labels

no code implementations31 Aug 2023 Zheng Xing, Junting Chen

This paper develops a region-based radio map from received signal strength (RSS) measurements without location labels.

Clustering

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers

no code implementations26 May 2023 Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu

Our method propagates semantics on the scene graphs based on language priors and scene statistics to introduce semantic knowledge to the geometric frontiers.

Imitation Learning Navigate +2

Geography-aware Optimal UAV 3D Placement for LOS Relaying: A Geometry Approach

no code implementations30 Sep 2022 Yuanshuai Zheng, Junting Chen

To further enhance the search capability in an ultra-dense environment, a dynamic multi-stage algorithm is developed and theoretically shown to find an $\epsilon$-optimal UAV position with a search length $O(1/\epsilon)$.

Position

Propagation Map Reconstruction via Interpolation Assisted Matrix Completion

no code implementations27 Jul 2022 Hao Sun, Junting Chen

This paper proposes to integrate interpolation with matrix completion to exploit both the spatial correlation and the potential low rank structure of the propagation map.

Management Matrix Completion

UAV-aided RF Mapping for Sensing and Connectivity in Wireless Networks

no code implementations6 May 2022 David Gesbert, Omid Esrafilian, Junting Chen, Rajeev Gangula, Urbashi Mitra

The use of unmanned aerial vehicles (UAV) as flying radio access network (RAN) nodes offers a promising complement to traditional fixed terrestrial deployments.

Navigate

UAV-aided Radio Map Construction Exploiting Environment Semantics

no code implementations22 Jul 2021 Wenjie Liu, Junting Chen

This paper constructs a full dimensional (6D) radio map to predict the channel gain between any transmitter location and any receiver location based on received signal strength (RSS) measurements between low-altitude aerial nodes and ground nodes.

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