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In this paper, facilitated via the flexible software defined structure of the radio access units in 5G, we propose a novel dynamic multiple access technology selection among orthogonal multiple access (OMA) and non-orthogonal multiple…

Signal Processing · Electrical Eng. & Systems 2018-11-28 Mina Baghani , Saeedeh Parsaeefard , Mahsa Derakhshani , Walid Saad

Reconfigurable intelligent surface (RIS) empowered communications with non-orthogonal multiple access (NOMA) has recently become as an appealing research direction for the next-generation wireless communications. In this paper, we propose a…

Signal Processing · Electrical Eng. & Systems 2022-08-23 Aymen Khaleel , Ertugrul Basar

Future wireless networks, deploying thousands of antenna elements, may operate in the radiative near-field (NF), enabling spatial multiplexing across both angle and range domains. Sparse arrays have the potential to achieve comparable…

Signal Processing · Electrical Eng. & Systems 2026-05-22 Ahmed Hussain , Asmaa Abdallah , Abdulkadir Celik , Emil Björnson , Ahmed M. Eltawil

Current middleware systems suffer from drawbacks. Often one is forced to make decisions early in the design process about which classes may participate in inter-machine communication. Further, application level and middleware specific…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-30 Álvaro Rebón Portillo , Scott Walker , Graham Kirby , Alan Dearle

Collective communication operations such as MPI_Alltoallv are central to many HPC applications, particularly those with irregular message sizes. We design, implement, and evaluate persistent MPI RMA variants of Alltoallv based on fence and…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-08 Evelyn Namugwanya

A key component of model-based reinforcement learning (RL) is a dynamics model that predicts the outcomes of actions. Errors in this predictive model can degrade the performance of model-based controllers, and complex Markov decision…

Machine Learning · Computer Science 2023-06-06 Seohong Park , Sergey Levine

This work explores a novel approach for adaptive, differentiable parametrization of large-scale non-stationary random fields. Coupled with any gradient-based algorithm, the method can be applied to variety of optimization problems,…

Optimization and Control · Mathematics 2019-03-19 Andrei Mukhin , Aleksey Khlyupin

The complexity of modern computing environments and the growing sophistication of cyber threats necessitate a more robust, adaptive, and automated approach to security enforcement. In this paper, we present a framework leveraging large…

Cryptography and Security · Computer Science 2025-06-06 Pablo Fernández Saura , K. R. Jayaram , Vatche Isahagian , Jorge Bernal Bernabé , Antonio Skarmeta

While traditional robotic systems come with a monolithic system design, reconfigurable multi-robot systems can share and shift physical resources in an on-demand fashion. Multi-robot operations can benefit from this flexibility by actively…

Robotics · Computer Science 2021-06-24 Thomas M. Roehr

The COVID-19 pandemic brings many unexpected disruptions, such as frequently shifting markets and limited human workforce, to manufacturers. To stay competitive, flexible and real-time manufacturing decision-making strategies are needed to…

Multiagent Systems · Computer Science 2025-07-28 Mingjie Bi , Ilya Kovalenko , Dawn M. Tilbury , Kira Barton

This paper focuses on spectrum sharing in heterogeneous wireless networks, where nodes with different Media Access Control (MAC) protocols to transmit data packets to a common access point over a shared wireless channel. While previous…

Information Theory · Computer Science 2024-12-06 Zhaoyang Liu , Xijun Wang , Chenyuan Feng , Xinghua Sun , Wen Zhan , Xiang Chen

Multireference alignment (MRA) refers to the problem of recovering a signal from noisy samples subject to random circular shifts. Expectation--maximization (EM) and variational approaches use statistical modeling to achieve high accuracy at…

Information Theory · Computer Science 2025-10-30 Vahid Shahverdi , Emanuel Ström , Joakim Andén

In addressing the computational and memory demands of fine-tuning Large Language Models(LLMs), we propose LoRA-SP(Streamlined Partial Parameter Adaptation), a novel approach utilizing randomized half-selective parameter freezing within the…

Machine Learning · Computer Science 2024-03-15 Yichao Wu , Yafei Xiang , Shuning Huo , Yulu Gong , Penghao Liang

The main difficulty concerning optimizing the mutual information (MI) in reconfigurable intelligent surface (RIS)-aided communication systems with discrete signaling is the inability to formulate this optimization problem in an analytically…

Information Theory · Computer Science 2021-09-06 Nemanja Stefan Perović , Le-Nam Tran , Marco Di Renzo , Mark F. Flanagan

The advent of Machine-to-Machine communication has sparked a new wave of interest to random access protocols, especially in application to LTE Random Access (RA). By analogy with classical slotted ALOHA, state-of-the-art models LTE RA as a…

Information Theory · Computer Science 2018-12-19 Mikhail Vilgelm , Sergio Rueda Linares , Wolfgang Kellerer

Recent advances in self-supervised learning for Vision Transformers (ViTs) have fueled breakthroughs in remote sensing (RS) foundation models. However, the quadratic complexity of self-attention poses a significant barrier to scalability,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Fengxiang Wang , Yulin Wang , Mingshuo Chen , Haiyan Zhao , Yangang Sun , Shuo Wang , Hongzhen Wang , Di Wang , Long Lan , Wenjing Yang , Jing Zhang

Reconfigurable intelligent surfaces (RISs) have recently received widespread attention in the field of wireless communication. An RIS can be controlled to reflect incident waves from the transmitter towards the receiver; a feature that is…

Information Theory · Computer Science 2021-09-15 Jiangfeng Hu , Haifan Yin , Emil Björnson

In this paper, we propose a novel approach that aims to offer an alternative to the prevalent paradigm to dynamic slicing construction. Dynamic slicing requires dynamic data and control dependencies that arise in an execution. During a…

Software Engineering · Computer Science 2022-11-10 Ivan Postolski , Victor Braberman , Diego Garbervetsky , Sebastian Uchitel

In this paper, we present formal foundations for two wireless agility techniques: (1) Random Range Mutation (RNM) that allows for periodic changes of AP coverage range randomly, and (2) Ran- dom Topology Mutation (RTM) that allows for…

Emerging Technologies · Computer Science 2025-04-25 Qi Duan , Ehab Al-Shae , Jiang Xie

The growing demands of 6G mobile communication networks necessitate advanced antenna technologies. Movable antennas (MAs) and reconfigurable antennas (RAs) enable dynamic control over antenna's position, orientation, radiation,…

Information Theory · Computer Science 2025-10-16 Lipeng Zhu , Haobin Mao , Ge Yan , Wenyan Ma , Zhenyu Xiao , Rui Zhang