Search Results - "IEEE networking letters"

Relay Type Link Fabrication Attack in SDN: A Review by Metaferia, Getahun, Lemma, Frezewd, Bellam, Ravindra Babu

“…Software-defined Networking (SDN) is an innovative network architecture tailored to address the modern demands of network virtualization and cloud computing,…”
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Deploying On-device AIGC Inference Services in 6G via Optimal MEC-device Offloading by Zhou, Changshi, Liu, Weiqi, Han, Tao, Ansari, Nirwan

“…From AI-assisted art creation to large language model (LLM)-powered ChatGPT, AI-generated contents and services are becoming a transforming force. It calls for…”
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Multi-Modal Transformer and Reinforcement Learning-Based Beam Management by Ghassemi, Mohammad, Zhang, Han, Afana, Ali, Sediq, Akram Bin, Erol-Kantarci, Melike

“…Beam management is an important technique to improve signal strength and reduce interference in wireless communication systems. Recently, there has been…”
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Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning by Wu, Yinyu, Zhang, Xuhui, Ren, Jinke, Xing, Huijun, Shen, Yanyan, Cui, Shuguang

“…Recently, the integration of mobile edge computing (MEC) and generative artificial intelligence (GAI) technology has given rise to a new area called mobile…”
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Progressive Growth-Based Momentum Contrast for Unsupervised Representative Learning in Classification Tasks by Li, Yantao, Ling, Shijun, Huang, Hongyu, Rabevohitra, Feno H.

“…Contrastive unsupervised learning has made significant progress, but there is still potential for improvement by capturing finer details in input data. In this…”
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Viewport Prediction via Adaptive Edge Offloading by Aydin, Ahmet Gunhan, Vikalo, Haris

“…The pursuit of enhanced interactive visual experiences has created growing interest in 360-degree video streaming. However, transmitting such content requires…”
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Decentralized Coded Caching With Distributed Storage Across Data and Parity Servers by Dutta, Monolina, Thomas, Anoop, Li, Frank Y.

“…Traditional single server based coded caching may face server saturation and service vulnerability problems. In this letter, we integrate decentralized coded…”
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Adaptive Compression of Massive MIMO Channel State Information With Deep Learning by Mismar, Faris B., Kaya, Aliye Ozge

“…This paper proposes the use of deep autoencoders to compress the channel information in a massive multiple input and multiple output (MIMO) system. Although…”
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Bayesian Optimization Framework for Channel Simulation-Based Base Station Placement and Transmission Power Design by Sato, Koya, Suto, Katsuya

“…This study proposes an adaptive experimental design framework for a channel-simulation-based base station (BS) design that supports the joint optimization of…”
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Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance Machine Learning Robustness by elShehaby, Mohamed, Kotha, Aditya, Matrawy, Ashraf

“…Adversarial training enhances the robustness of Machine Learning (ML) models against adversarial attacks. However, obtaining labeled training and adversarial…”
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A Packet Sequence Permutation-Aware Approach to Robust Network Traffic Classification by Jiang, Yanzhuo, Wang, Xueman, Lai, Yingxu, Wang, Yipeng

“…Anomalies in packet length sequences caused by network topology structure and congestion greatly impact the performance of early network traffic…”
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Channel Aging-Aware LSTM-Based Channel Prediction for Satellite Communications by Abbasi, Omid, Kaddoum, Georges

“…Satellite communication systems encounter channel aging issues due to the substantial distance that separates users and satellites. In such systems, the…”
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Evaluation of Applying Federated Learning to Distributed Intrusion Detection Systems Through Explainable AI by Oki, Ayaka, Ogawa, Yukio, Ota, Kaoru, Dong, Mianxiong

“…We apply federated learning (FL) to a distributed intrusion detection system (IDS), in which we deploy numerous detection servers on the edge of a network. FL…”
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Efficient Online Slice Admission Control Scheme in Next Generation Networks by Yese, Solomon Orduen, Berri, Sara, Chorti, Arsenia

“…This letter proposes a slice admission control scheme to maximize profit and resource utilization. It considers an online scenario where the infrastructure…”
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An eBPF-Based Trace-Driven Emulation Method for Satellite Networks by Tian, Weibiao, Li, Ye, Zhao, Jinwei, Wu, Sheng, Pan, Jianping

“…System-level performance evaluation over satellite networks often requires a simulated or emulated environment for reproducibility and low cost. However, the…”
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A Risk-Averse Outage Probability Minimization Method for RIS-Aided RSMA Systems by Shnaiwer, Yousef N., Kaneko, Megumi

“…This letter presents a novel method for optimizing the outage performance of Reconfigurable Intelligent Surfaces (RIS)-assisted Rate-Splitting Multiple Access…”
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Mobile Network Configuration Recommendation Using Deep Generative Graph Neural Network by Piroti, Shirwan, Chawla, Ashima, Zanouda, Tahar

“…There are vast number of configurable parameters in a Radio Access Telecom Network. A significant amount of these parameters is configured by Radio Node or…”
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Optimal Classifier for an ML-Assisted Resource Allocation in Wireless Communications by Raina, Rashika, Simmons, David E., Simmons, Nidhi, Yacoub, Michel Daoud

“…This letter advances on the outage probability (OP) performance of a machine learning (ML)-assisted single-user multi-resource system. We focus on OP…”
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Throughput and Delay Performance of Slotted Aloha in SmartBANs Under Saturation Conditions by Politis, Anastasios C., Hilas, Constantinos S.

“…This letter evaluates the performance of the slotted Aloha protocol defined by the European Telecommunication Standard Institute (ETSI) SmartBAN specification,…”
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Unlocking Reconfigurability for Deep Reinforcement Learning in SFC Provisioning by Arda Onsu, Murat, Lohan, Poonam, Kantarci, Burak, Janulewicz, Emil, Slobodrian, Sergio

“…Network function virtualization (NFV) is a key foundational technology for 5G and beyond networks, wherein to offer network services, execution of Virtual…”
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