Zobrazeno 1 - 10
of 5 514
pro vyhledávání: '"Çicek, A."'
Cell-free massive MIMO improves the fairness among the user equipments (UEs) in the network by distributing many cooperating access points (APs) around the region while connecting them to a centralized cloud-computing unit that coordinates joint tran
Externí odkaz:
http://arxiv.org/abs/2412.02771
Integrated sensing and communication (ISAC) is a promising technology for future mobile networks, enabling sensing applications to be performed by existing communication networks, consequently improving the system efficiency. Millimeter wave (mmWave)
Externí odkaz:
http://arxiv.org/abs/2412.02649
Autor:
Tur, Yalcin, Cicek, Vedat, Cinar, Tufan, Keles, Elif, Allen, Bradlay D., Savas, Hatice, Durak, Gorkem, Medetalibeyoglu, Alpay, Bagci, Ulas
Pulmonary Embolism (PE) is a serious cardiovascular condition that remains a leading cause of mortality and critical illness, underscoring the need for enhanced diagnostic strategies. Conventional clinical methods have limited success in predicting 3
Externí odkaz:
http://arxiv.org/abs/2411.18063
Integrated sensing and communications (ISAC) allows networks to perform sensing alongside data transmission. While most ISAC studies focus on single-target, multi-user scenarios, multi-target sensing is scarcely researched. This letter examines the m
Externí odkaz:
http://arxiv.org/abs/2410.22532
This article introduces a novel heuristic for Task and Motion Planning (TAMP) named Interpretable Responsibility Sharing (IRS), which enhances planning efficiency in domestic robots by leveraging human-constructed environments and inherent biases. Ut
Externí odkaz:
http://arxiv.org/abs/2409.05586
In this paper, we examine the energy efficiency (EE) of a base station (BS) with multiple antennas. We use a state-of-the-art power consumption model, taking into account the passive and active parts of the transceiver circuitry, including the effect
Externí odkaz:
http://arxiv.org/abs/2409.03436
Autor:
Sayin, Irem, Gursoy, Rana, Cicek, Buse, Mert, Yunus Emre, Ozturk, Fatih, Pamukcu, Taha Emre, Sevimli, Ceylin Deniz, Uvet, Huseyin
This study develops a Convolutional Neural Network (CNN) model for detecting myocardial infarction (MI) from Electrocardiogram (ECG) images. The model, built using the InceptionV3 architecture and optimized through transfer learning, was trained usin
Externí odkaz:
http://arxiv.org/abs/2408.16800
Autor:
Yagan, M. Yaser, Kayraklik, Sefa, Kesir, Samed, Sumen, Gizem, Hokelek, Ibrahim, Basaran, Mehmet, Alexandropoulos, George C., Basar, Ertugrul, Cavdar, Cicek, Arslan, Huseyin, Gorcin, Ali
Extreme natural phenomena are occurring more frequently everyday in the world, challenging, among others, the infrastructure of communication networks. For instance, the devastating earthquakes in Turkiye in early 2023 showcased that, although commun
Externí odkaz:
http://arxiv.org/abs/2408.08609
In the design of a metasurface-assisted system for indoor environments, it is essential to take into account not only the performance gains and coverage extension provided by the metasurface but also the operating costs brought by its reconfigurabili
Externí odkaz:
http://arxiv.org/abs/2407.15729
This paper explores the evolution of Radio Access Network (RAN) architectures and their integration into Non-Terrestrial Networks (NTN) to address escalating mobile traffic demands. Focusing on Low Earth Orbit (LEO) satellites as key components of NT
Externí odkaz:
http://arxiv.org/abs/2404.09186