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Decentralized machine learning (DML) supports collaborative training in large-scale networks with no central server. It is sensitive to the quality and reliability of inter-device communications that result in time-varying and stochastic…

Signal Processing · Electrical Eng. & Systems 2025-11-06 Zhiyuan Zhai , Shuyan Hu , Wei Ni , Xiaojun Yuan , Xin Wang

5G has been designed to support applications such as connected and automated driving. To this aim, 5G includes a highly flexible New Radio (NR) interface that can be configured to utilize different subcarrier spacings (SCS), slot durations,…

Networking and Internet Architecture · Computer Science 2022-09-02 M. C. Lucas-Estañ , B. Coll-Perales , T. Shimizu , J. Gozalvez , T. Higuchi , S. Avedisov , O. Altintas , M. Sepulcre

As the demand of wireless communication continues to rise, the radio spectrum (a finite resource) requires increasingly efficient utilization. This trend is driving the evolution from static, stand-alone spectrum allocation toward spectrum…

Signal Processing · Electrical Eng. & Systems 2026-01-21 Hao Guo , Ruoyu Sun , Amir Hossein Fahim Raouf , Rahil Gandotra , Jiayu Mao , Mark Poletti

Distributed machine learning (ML) over wireless networks hinges on accurate channel state information (CSI) and efficient exchange of high-dimensional model updates. These demands are governed by channel coherence time and bandwidth, which…

Information Theory · Computer Science 2026-03-10 Mehdi Karbalayghareh , David J. Love , Christopher G. Brinton

The fifth-generation (5G) wireless communication is useful for positioning due to its large bandwidth and low cost. However, the presence of obstacles that block the line-of-sight (LOS) path between devices would affect localization…

Signal Processing · Electrical Eng. & Systems 2022-08-17 Jiankun Zhang , Hao Wang

Increased complexity and heterogeneity of emerging 5G and beyond 5G (B5G) wireless networks will require a paradigm shift from traditional resource allocation mechanisms. Deep learning (DL) is a powerful tool where a multi-layer neural…

Networking and Internet Architecture · Computer Science 2018-08-03 K. I. Ahmed , H. Tabassum , E. Hossain

Artificial intelligence advances have recently influenced wireless communications, including beam management in fifth-generation (5G) new radio systems. AI-driven models and algorithms are being applied to enhance tasks such as beam…

Signal Processing · Electrical Eng. & Systems 2025-05-27 Dino Pjanić , Guoda Tian , Andres Reial , Xuesong Cai , Bo Bernhardsson , Fredrik Tufvesson

Ultra-reliable and low-latency communications (URLLC) are considered as one of three new application scenarios in the fifth generation cellular networks. In this work, we aim to reduce the user experienced delay through prediction and…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Zhanwei Hou , Changyang She , Yonghui Li , Zhuo Li , Branka Vucetic

Semiconductor lasers, one of the key components for optical communication systems, have been rapidly evolving to meet the requirements of next generation optical networks with respect to high speed, low power consumption, small form factor…

Machine Learning · Computer Science 2022-11-08 Khouloud Abdelli , Helmut Griesser , Stephan Pachnicke

The classification of fifth-generation New-Radio (5G-NR) mobile network traffic is an emerging topic in the field of telecommunications. It can be utilized for quality of service (QoS) management and dynamic resource allocation. However,…

Machine Learning · Computer Science 2023-07-18 Xiao Fei , Philippe Martins , Jialiang Lu

Ultra Reliable and Low Latency Communications (URLLC) is deemed to be an essential service in 5G systems and beyond to accommodate a wide range of emerging applications with stringent latency and reliability requirements. Coexistence of…

Signal Processing · Electrical Eng. & Systems 2020-12-29 Mohammed AL-Mekhlafi , Mohaned Chraiti , Mohamed Amine Arfaoui , Chadi Assi , Ali Ghrayeb , Amira Alloum

With the fast development of Internet of things (IoT), the fifth generation (5G) wireless networks need to provide massive connectivity of IoT devices and meet the demand for low latency. To satisfy these requirements, Non-Orthogonal…

Networking and Internet Architecture · Computer Science 2018-02-07 Abbas Kiani , Nirwan Ansari

We propose a method for downlink coordinated multipoint (DL CoMP) in heterogeneous fifth generation New Radio (NR) networks. The primary contribution of our paper is an algorithm to enhance the trigger of DL CoMP using online machine…

Machine Learning · Statistics 2019-02-06 Faris B. Mismar , Brian L. Evans

Neural network-based compression and decompression of channel state feedback has been one of the most widely studied applications of machine learning (ML) in wireless networks. Various simulation-based studies have shown that ML-based…

Deploying fifth-generation (5G) networks in emerging markets demands a balance between performance targets and constraints in budget, spectrum, and infrastructure. We use MATLAB simulations to quantify how radio and architectural levers -…

Signal Processing · Electrical Eng. & Systems 2026-01-13 Desire Guel , Justin Pegd-Windé Kouraogo , Kouka Kouakou Nakoulma

The 5G New Radio (NR) standard introduces new frequency bands allocated in Frequency Range 2 (FR2) to support enhanced Mobile Broadband (eMBB) in congested environments and enables new use cases such as Ultra-Reliable Low Latency…

Networking and Internet Architecture · Computer Science 2025-11-24 Kasidis Arunruangsirilert , Pasapong Wongprasert , Jiro Katto

The 5th-generation wireless networks (5G) technologies and mobile edge computing (MEC) provide great promises of enabling new capabilities for the industrial Internet of Things. However, the solutions enabled by the 5G ultra-reliable…

Networking and Internet Architecture · Computer Science 2022-02-16 Peng Hu , Jinhuan Zhang

5G technology allows heterogeneous services to share the wireless spectrum within the same radio access network. In this context, spectrum slicing of the shared radio resources is a critical task to guarantee the performance of each…

Information Theory · Computer Science 2026-03-16 Fabio Saggese , Marco Moretti , Petar Popovski

In this paper, the performance of multi-user Multiple-Input Multiple-Output (MIMO) systems is evaluated in terms of SINR and capacity. We focus on the case of a downlink single-cell scenario where different precoders have been studied.…

Information Theory · Computer Science 2019-03-28 Mattia Rebato , Luca Rose , Michele Zorzi

Millimeter-wave (mmWave) networks offer the potential for high-speed data transfer and precise localization, leveraging large antenna arrays and extensive bandwidths. However, these networks are challenged by significant path loss and…

Social and Information Networks · Computer Science 2023-12-29 Wan-Ting Shih , Chao-Kai Wen , Shang-Ho Tsai , Shi Jin , Chau Yuen