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The minimum frequency-time unit that can be allocated to User Equipments (UEs) in the fifth generation (5G) cellular networks is a Resource Block (RB). A RB is a channel composed of a set of OFDM subcarriers for a given time slot duration.…

Networking and Internet Architecture · Computer Science 2019-11-15 Madyan Alsenwi , Kitae Kim , Choong Seon Hong

Real-world traffic involves diverse road users, ranging from pedestrians to heavy trucks, necessitating effective road user classification for various applications within Intelligent Transport Systems (ITS). Traditional approaches often…

Machine Learning · Computer Science 2024-12-03 Lennart Köpper , Thomas Wieland

We present Linear Diffusion Networks (LDNs), a novel architecture that reinterprets sequential data processing as a unified diffusion process. Our model integrates adaptive diffusion modules with localized nonlinear updates and a…

Machine Learning · Computer Science 2025-03-27 Jacob Fein-Ashley

Distributed diffusion is a powerful algorithm for multi-task state estimation which enables networked agents to interact with neighbors to process input data and diffuse information across the network. Compared to a centralized approach,…

Multiagent Systems · Computer Science 2020-03-27 Jiani Li , Xenofon Koutsoukos

Massive MIMO is widely considered as a key enabler of the next generation 5G networks. With a large number of antennas at the Base Station, both spectral and energy efficiencies can be enhanced. Unfortunately, the downlink channel…

Information Theory · Computer Science 2019-08-14 Ali Maatouk , Salah Eddine Hajri , Mohamad Assaad , Hikmet Sari

This paper deals with the challenge of modeling the performance of planned ultrabroadband access networks while maintaining technological neutrality and accuracy in measurable quality. We highlight the importance of such modeling also for…

Networking and Internet Architecture · Computer Science 2023-06-01 Antonio Capone , Maurizio Decina , Aldo Milan , Marco Petracca

Global optimization of access point (AP) assignment to user terminals requires efficient monitoring of user behavior, fast decision algorithms, efficient control signaling, and fast AP reassignment mechanisms. In this scenario, software…

Networking and Internet Architecture · Computer Science 2024-03-28 Pablo Fondo-Ferreiro , Saber Mhiri , Cristina López-Bravo , Francisco Javier González-Castaño , Felipe Gil-Castiñeira

Deep neural networks (DNNs) deployed in real-world applications can encounter out-of-distribution (OOD) data and adversarial examples. These represent distinct forms of distributional shifts that can significantly impact DNNs' reliability…

Machine Learning · Computer Science 2024-04-09 Naveen Karunanayake , Ravin Gunawardena , Suranga Seneviratne , Sanjay Chawla

The ultra-reliable and low-latency communication (URLLC) is the key driver of the current 5G new radio standardization. URLLC encompasses sporadic and small-payload transmissions that should be delivered within extremely tight radio latency…

Signal Processing · Electrical Eng. & Systems 2019-09-26 Ali A. Esswie , Klaus I. Pedersen

To meet the surging demand for throughput, 5G cellular networks need to be more heterogeneous and much denser, by deploying more and more small cells. In particular, the number of users in each small cell can change dramatically due to…

Information Theory · Computer Science 2015-11-16 Yunquan Dong , Zhi Chen , Pingyi Fan , Khaled Ben Letaief

In random-access communication systems, the number of active users varies with time, and has considerable bearing on receiver's performance. Thus, techniques aimed at identifying not only the information transmitted, but also that number,…

Information Theory · Computer Science 2016-11-17 Ezio Biglieri , Marco Lops

This paper investigates a cellular edge caching design under an extremely large number of small base stations (SBSs) and users. In this ultra-dense edge caching network (UDCN), SBS-user distances shrink, and each user can request a cached…

Networking and Internet Architecture · Computer Science 2017-03-07 Hyesung Kim , Jihong Park , Mehdi Bennis , Seong-Lyun Kim , Mérouane Debbah

Unmanned Aerial Vehicles (UAVs) are increasingly adopted in modern communication networks. However, challenges in decision-making and digital modeling continue to impede their rapid advancement. Reinforcement Learning (RL) algorithms face…

Machine Learning · Computer Science 2025-01-13 Yousef Emami , Hao Zhou , Luis Almeida , Kai Li

This paper investigates a cellular edge caching problem under a very large number of small base stations (SBSs) and users. In this ultra-dense edge caching network (UDCN), conventional caching algorithms are inapplicable as their complexity…

Networking and Internet Architecture · Computer Science 2018-03-30 Hyesung Kim , Jihong Park , Mehdi Bennis , Seong-Lyun Kim , Mérouane Debbah

Most research designing novel predictive models, or employing existing ones, assumes that training and testing data are independent and identically distributed. In practice, the data encountered at serving time often deviate from the…

Machine Learning · Computer Science 2026-03-30 Hanyu Duan , Yi Yang , Ahmed Abbasi , Kar Yan Tam

Resilience is defined as the ability of a network to resist, adapt, and quickly recover from disruptions, and to continue to maintain an acceptable level of services from users' perspective. With the advent of future radio networks,…

Machine Learning · Computer Science 2024-07-26 Soumeya Kaada , Dinh-Hieu Tran , Nguyen Van Huynh , Marie-Line Alberi Morel , Sofiene Jelassi , Gerardo Rubino

In the future, with the advent of Internet of Things (IoT), wireless sensors, and multiple 5G killer applications, an indoor room might be filled with $1000$s of devices demanding low data rates. Such high-level densification and mobility…

Networking and Internet Architecture · Computer Science 2020-09-23 Rohit Singh , Doug Sicker

Fifth Generation (5G) mobile networks mark a significant shift from previous generations of networks. By introducing a flexible design, 5G networks support highly diverse application requirements. Currently, the landscape of previous…

Networking and Internet Architecture · Computer Science 2023-10-18 Rostand A. K. Fezeu , Jason Carpenter , Claudio Fiandrino , Eman Ramadan , Wei Ye , Joerg Widmer , Feng Qian , Zhi-Li Zhang

This paper addresses an interference channel consisting of $\mathbf{n}$ active users sharing $u$ frequency sub-bands. Users are asynchronous meaning there exists a mutual delay between their transmitted codes. A stationary model for…

Information Theory · Computer Science 2010-06-17 Kamyar Moshksar , Amir K. Khandani

To improve the identification of potential anomaly patterns in complex user behavior, this paper proposes an anomaly detection method based on a deep mixture density network. The method constructs a Gaussian mixture model parameterized by a…

Machine Learning · Computer Science 2025-05-20 Lu Dai , Wenxuan Zhu , Xuehui Quan , Renzi Meng , Sheng Chai , Yichen Wang