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20 results for “5G New Radio”

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cs.NINEWEmpiricalJul 30, 2026

Coexistence of 5G NR and Wi Fi 6E/7 at 6 GHz: Experimental Interference Measurements

Rafik Zitouni, Demos Serghiou, Ali Dagdeviren, Tajinder Randhawa +4 more

This paper measures the interference of a commercial Very Low Power Wi-Fi 6E/7 device on a live 5G New Radio system using an SDR testbed and records throughput, block error rate, and signal-to-noise r…

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cs.CREmpiricalRecentJul 17, 2026

DoSQ: A Cross-Layer Denial of Service Quality Attack by Exploiting Side Channels in 5G NR

Mahmudul Hassan Ashik, Moinul Hossain

Researchers present DoSQ, a protocol-aware attack that decodes Downlink Control Information (DCI) to degrade Application layer service quality in 5G NR systems, achieving up to 50% Goodput reduction a…

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cs.ITSurveyRecentJun 10, 2026

Reconfigurable Antennas for Next-generation Mobile Communication Networks: A Comprehensive Survey and Tutorial

Yizhe Zhao, Long Zhang, Halvin Yang, Kun Yang +3 more

This paper presents a comprehensive survey on reconfigurable antennas for next-generation mobile networks, focusing on their potential and applications.

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cs.NITheoreticalRecentJun 30, 2026

Latency-Sensitive 5G RAN Slicing for Deterministic Aperiodic Traffic in Smart Manufacturing

M. Carmen Lucas-Estañ, Jan García-Morales, Javier Gozalvez

This paper proposes a new approach for designing Radio Access Network (RAN) slices in 5G and beyond networks using descriptors that consider both transmission rate and latency requirements to support…

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eess.SPEmpiricalRecentJul 27, 2026

Beam-Domain Channel Estimation for mmWave MIMO using Sub-6 GHz Out-of-Band Information

Faruk Pasic, Mariam Mussbah, Stefan Schwarz, Markus Rupp

A novel beam-domain channel estimation method for mmWave MIMO is proposed using sub-6 GHz beam-domain information for improved accuracy.

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eess.SPEmpiricalRecentJun 20, 2026

A Novel Grant Prediction Method for 5G NR Terminals

Chenhao Wu, Xiaojiang Xu, Yuxuan Li, Yuanhao Xu +2 more

This paper proposes IOHMM-BO, a method using a high-order input-output hidden Markov model with Bayesian optimization for predictive dynamic power management in 5G NR user equipment, achieving 43% ene…

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cs.ITeess.SPEmpiricalRecentJun 12, 2026

Generalized Framework for a Fair Comparison of Cellular and Cooperative Massive MIMO Systems

Leonard Paul Schulz, Stefan Schwarz, Gerhard Bauch

This paper introduces a graph-based framework for fair comparison of cellular, coordinated, and cell-free massive-MIMO systems, and derives compatible spectral efficiency expressions for uplink and do…

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cs.NIcs.CRRecentMay 13, 2026

StormShield: Fingerprint-Based Detection and Mitigation of RRC Signaling Storms in O-RAN 5G RANs

Noemi Giustini, Andrea Lacava, Leonardo Bonati, Stefano Maxenti +3 more

The paper proposes StormShield, a fingerprint-based detection and mitigation technique implemented as an xApp on an O-RAN RIC, which effectively prevents gNB resource exhaustion caused by RRC signalin…

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cs.NIEmpiricalRecentJul 17, 2026

App-Based Performance Characterization of Cellular and Wi-Fi Networks in Dense Stadium Deployments

Hardani Ismu Nabil, Muhammad Iqbal Rochman, S. M. Haider Ali Shuvo, Joshua Roy Palathinkal +1 more

This paper evaluates user-perceived performance and QoE of wireless networks at Notre Dame Stadium during football games using commercial smartphones for web browsing, WhatsApp messaging, and Instagra…

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eess.SPEmpiricalRecentJul 9, 2026

GenAI-Enhanced Digital Twins for Predictive Interference Management in Ultra-Dense Networks

Afan Ali, Ali Arshad Nasir, Daniel Benevides da Costa

This paper proposes a generative AI framework using a cGAN for proactive interference mitigation in ultra-dense indoor networks, achieving significant SINR gain, packet-loss reduction, and CSI oracle…

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eess.SPcs.AIcs.NIRecentMay 29, 2026

Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding

Ruiqi Kong, He Chen, Xiaojun Lin

The paper proposes GUIDE, a physics-guided deep unfolding framework that enables practical, real-time cross-band channel prediction for AI-RAN by embedding wireless channel physics, significantly impr…

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cs.NIeess.SPEmpiricalRecentJul 29, 2026

Active Movable-Element RIS Assisted Vehicular Semantic Communications: Modeling and Optimization

Maoxin Ji, Qiong Wu, Jingbo Zhang, Pingyi Fan +4 more

This paper proposes a Row-Movable Active Reconfigurable Intelligent Surface (RM-A-RIS) system for vehicular semantic communication, enhancing spatial diversity and improving Sum-Semantic Spectral Effi…

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cs.NIcs.PFEmpiricalRecentJul 4, 2026

Evaluating 5G-connected IoT for Power Line Temperature Prediction: Real-World Latency and Cost Trade-offs Between MEC and Cloud

Aakash Sharma, Sigmund Akselsen, Anders Andersen, Lars Ailo Bongo +1 more

This paper investigates the latency performance of Mobile Edge Computing (MEC) on a 5G cellular network for real-time power transmission line analytics, demonstrating a low latency of 44.62 ms compare…

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eess.SPcs.ITTheoreticalRecentJun 12, 2026

Repeater-Assisted Massive MIMO Downlink Performance with Calibration Errors

Kohei Ueda, Anubhab Chowdhury, Koji Ishibashi, Erik G. Larsson

This paper analyzes the effects of calibration errors on downlink beamforming in a repeater-assisted massive MIMO system and derives analytical expressions for the downlink spectral efficiency.

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cs.NIPositionRecentJun 25, 2026

Toward AI-Native 6G Air Interface: A 3GPP Perspective on Protocol Framework

Xingqin Lin

This paper proposes a protocol framework for making the 6G air interface AI-native, focusing on interoperability and preserving implementation freedom.

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