Tootfinder

Integrated Communication and Remote Sensing in LEO Satellite Systems: Protocol, Architecture and Prototype
Yichao Xu, Xiaoming Chen, Ming Ying, Zhaoyang Zhang
https://arxiv.org/abs/2508.10317

Integrated Communication and Remote Sensing in LEO Satellite Systems: Protocol, Architecture and Prototype
In this paper, we explore the integration of communication and synthetic aperture radar (SAR)-based remote sensing in low Earth orbit (LEO) satellite systems to provide real-time SAR imaging and information transmission. Considering the high-mobility characteristics of satellite channels and limited processing capabilities of satellite payloads, we propose an integrated communication and remote sensing architecture based on an orthogonal delay-Doppler division multiplexing (ODDM) signal wavefor…

Using STAR-IRS to Secure Indoor Communications Through Symbol-Level Random Phase Modulation
Yanan Du, Zeyang Sun, Yilan Zhang, Sai Xu, Beiyuan Liu
https://arxiv.org/abs/2510.11925

Using STAR-IRS to Secure Indoor Communications Through Symbol-Level Random Phase Modulation
This paper proposes a secure indoor communication scheme based on simultaneous transmitting and reflecting intelligent reflecting surface (STAR-IRS). Specifically, a transmitter (Alice) sends confidential information to its intended user (Bob) indoors, while several eavesdroppers (Eves) lurk outside. To safeguard the transmission from eavesdropping, the STAR-IRS is deployed on walls or windows. Upon impinging on the STAR-IRS, the incoming electromagnetic wave is dynamically partitioned into two…

GPU-Accelerated Algorithms for Process Mapping
Petr Samoldekin, Christian Schulz, Henning Woydt
https://arxiv.org/abs/2510.12196 https://arxiv.org/pdf/2510…

GPU-Accelerated Algorithms for Process Mapping
Process mapping asks to assign vertices of a task graph to processing elements of a supercomputer such that the computational workload is balanced while the communication cost is minimized. Motivated by the recent success of GPU-based graph partitioners, we propose two GPU-accelerated algorithms for this optimization problem. The first algorithm employs hierarchical multisection, which partitions the task graph alongside the hierarchy of the supercomputer. The method utilizes GPU-based graph pa…

Towards Confidential and Efficient LLM Inference with Dual Privacy Protection
Honglan Yu, Yibin Wang, Feifei Dai, Dong Liu, Haihui Fan, Xiaoyan Gu
https://arxiv.org/abs/2509.09091

Towards Confidential and Efficient LLM Inference with Dual Privacy Protection
CPU-based trusted execution environments (TEEs) and differential privacy (DP) have gained wide applications for private inference. Due to high inference latency in TEEs, researchers use partition-based approaches that offload linear model components to GPUs. However, dense nonlinear layers of large language models (LLMs) result in significant communication overhead between TEEs and GPUs. DP-based approaches apply random noise to protect data privacy, but this compromises LLM performance and sem…

Prototyping Digital Social Spaces through Metaphor-Driven Design: Translating Spatial Concepts into an Interactive Social Simulation
Yoojin Hong, Martina Di Paola, Braahmi Padmakumar, Hwi Joon Lee, Mahnoor Shafiq, Joseph Seering
https://arxiv.org/abs/2510.02759

Prototyping Digital Social Spaces through Metaphor-Driven Design: Translating Spatial Concepts into an Interactive Social Simulation
Social media platforms are central to communication, yet their designs remain narrowly focused on engagement and scale. While researchers have proposed alternative visions for online spaces, these ideas are difficult to prototype within platform constraints. In this paper, we introduce a metaphor-driven system to help users imagine and explore new social media environments. The system translates users' metaphors into structured sets of platform features and generates interactive simulations pop…

Node Position Estimation in Diffusion-Based Molecular Communications Using Multi-Layer Perceptron
Sangjun Hwang, Chan-Byoung Chae
https://arxiv.org/abs/2509.07441 https://

Node Position Estimation in Diffusion-Based Molecular Communications Using Multi-Layer Perceptron
This paper proposes a method for accurately estimating the relative position between two nodes with unknown locations in a diffusion-based molecular communication environment. A specialized node structure is designed, combining a central absorbing receiver with multiple transmitters placed at predefined spherical coordinates. Pilot molecules are released, and their absorption time and concentration are measured. By partitioning the spherical coordinate space, these spatially distinct measuremen…

OTFS for Joint Radar and Communication: Algorithms, Prototypes, and Experiments
Xiaojuan Zhang, Yonghong Zeng, Francois Chin Po Shin
https://arxiv.org/abs/2510.00668 https://

OTFS for Joint Radar and Communication: Algorithms, Prototypes, and Experiments
We propose an Joint Radar and Communication (JRC) system that utilizes the Orthogonal Time Frequency Space (OTFS) signals. The system features a fast radar sensing algorithm for detecting target range and speed by using the OTFS communication signals, and a self-interference cancellation for enhanced multi-target separation. In addition to target detection, we propose methods for monitoring human vital signs, such as breathing rate and heartbeat. Furthermore, we explore two approaches for disti…

Persistent and Partitioned MPI for Stencil Communication
Gerald Collom, Jason Burmark, Olga Pearce, Amanda Bienz
https://arxiv.org/abs/2508.13370 https://a…

Persistent and Partitioned MPI for Stencil Communication
Many parallel applications rely on iterative stencil operations, whose performance are dominated by communication costs at large scales. Several MPI optimizations, such as persistent and partitioned communication, reduce overheads and improve communication efficiency through amortized setup costs and reduced synchronization of threaded sends. This paper presents the performance of stencil communication in the Comb benchmarking suite when using non blocking, persistent, and partitioned communica…

Pioneering Scalable Prototyping for Mid-Band XL-MIMO Systems: Design and Implementation
Jiachen Tian, Yu Han, Zhengtao Jin, Xi Yang, Jie Yang, Wankai Tang, Xiao Li, Wenjin Wang, Shi Jin
https://arxiv.org/abs/2510.02793

Pioneering Scalable Prototyping for Mid-Band XL-MIMO Systems: Design and Implementation
The mid-band frequency range, combined with extra large-scale multiple-input multiple-output (XL-MIMO), is emerging as a key enabler for future communication systems. Thanks to the advent of new spectrum resources and degrees of freedom brought by the near-field propagation, the mid-band XL-MIMO system is expected to significantly enhance throughput and inherently support advanced functionalities such as integrated sensing and communication. Although theoretical studies have highlighted the ben…

Scaling atomic ordering in shared memory
Lorenzo Martignetti, Eli\~a Batista, Gianpaolo Cugola, Fernando Pedone
https://arxiv.org/abs/2509.07781 https://ar…

Scaling atomic ordering in shared memory
Atomic multicast is a communication primitive used in dependable systems to ensure consistent ordering of messages delivered to a set of replica groups. This primitive enables critical services to integrate replication and sharding (i.e., state partitioning) to achieve fault tolerance and scalability. While several atomic multicast protocols have been developed for message-passing systems, only a few are designed for the shared memory system model. This paper introduces TRAM, an atomic multicas…