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pro vyhledávání: '"Poor, H Vincent"'
Co-channel interference cancellation (CCI) is the process used to reduce interference from other signals using the same frequency channel, thereby enhancing the performance of wireless communication systems. An improvement to this approach is blind C
Externí odkaz:
http://arxiv.org/abs/2411.12541
Autor:
Naseri, Mostafa, Ashtari, Pooya, Seif, Mohamed, De Poorter, Eli, Poor, H. Vincent, Shahid, Adnan
In wireless communications, efficient image transmission must balance reliability, throughput, and latency, especially under dynamic channel conditions. This paper presents an adaptive and progressive pipeline for learned image compression (LIC)-base
Externí odkaz:
http://arxiv.org/abs/2411.10650
Inspired by biological processes, neuromorphic computing utilizes spiking neural networks (SNNs) to perform inference tasks, offering significant efficiency gains for workloads involving sequential data. Recent advances in hardware and software have
Externí odkaz:
http://arxiv.org/abs/2411.04728
Autor:
Liang, Ruihuai, Yang, Bo, Chen, Pengyu, Li, Xianjin, Xue, Yifan, Yu, Zhiwen, Cao, Xuelin, Zhang, Yan, Debbah, Mérouane, Poor, H. Vincent, Yuen, Chau
Network optimization is a fundamental challenge in the Internet of Things (IoT) network, often characterized by complex features that make it difficult to solve these problems. Recently, generative diffusion models (GDMs) have emerged as a promising
Externí odkaz:
http://arxiv.org/abs/2411.00453
Collaborative inference among multiple wireless edge devices has the potential to significantly enhance Artificial Intelligence (AI) applications, particularly for sensing and computer vision. This approach typically involves a three-stage process: a
Externí odkaz:
http://arxiv.org/abs/2410.19917
This paper addresses the problem of detecting changes when only unnormalized pre- and post-change distributions are accessible. This situation happens in many scenarios in physics such as in ferromagnetism, crystallography, magneto-hydrodynamics, and
Externí odkaz:
http://arxiv.org/abs/2410.14615
The effect of relative entropy asymmetry is analyzed in the context of empirical risk minimization (ERM) with relative entropy regularization (ERM-RER). Two regularizations are considered: $(a)$ the relative entropy of the measure to be optimized wit
Externí odkaz:
http://arxiv.org/abs/2410.02833
We investigate the problem of agent-to-agent interaction in decentralized (federated) learning over time-varying directed graphs, and, in doing so, propose a consensus-based algorithm called DSGTm-TV. The proposed algorithm incorporates gradient trac
Externí odkaz:
http://arxiv.org/abs/2409.17189
Autor:
Delbari, Mohamadreza, Alexandropoulos, George C., Schober, Robert, Poor, H. Vincent, Jamali, Vahid
Near-field (NF) communications is receiving renewed attention in the context of passive reconfigurable intelligent surfaces (RISs) due to their potentially extremely large dimensions. Although line-of-sight (LOS) links are expected to be dominant in
Externí odkaz:
http://arxiv.org/abs/2409.17041
Distributed energy resources (DERs) are gaining prominence due to their advantages in improving energy efficiency, reducing carbon emissions, and enhancing grid resilience. Despite the increasing deployment, the potential of DERs has yet to be fully
Externí odkaz:
http://arxiv.org/abs/2409.14499