mlsanityData to 7 Oct 2026

A Very Brief Introduction to Machine Learning With Applications to Communication Systems

arXiv 1808.02342 ↗First posted 7 Aug 2018cs.IT cs.NI math.ITcited by 35

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Abstract (arXiv)

Given the unprecedented availability of data and computing resources, there is widespread renewed interest in applying data-driven machine learning methods to problems for which the development of conventional engineering solutions is challenged by modelling or algorithmic deficiencies. This tutorial-style paper starts by addressing the questions of why and when such techniques can be useful. It then provides a high-level introduction to the basics of supervised and unsupervised learning. For both supervised and unsupervised learning, exemplifying applications to communication networks are discussed by distinguishing tasks carried out at the edge and at the cloud segments of the network at different layers of the protocol stack.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Aug 2018.

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Citing papers per year: 2021: 5; 2022: 9; 2023: 5; 2024: 10; 2025: 6.

35 papers.

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  1. 2023An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learningcited by 39
  2. 2023Machine Learning for Large-Scale Optimization in 6G Wireless Networkscited by 18
  3. 2021Artificial Intelligence for Satellite Communication: A Reviewcited by 14
  4. 2021Modular Meta-Learning for Power Control via Random Edge Graph Neural Networkscited by 13
  5. 2022Semantic Information Recovery in Wireless Networkscited by 12
  6. 2022Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learningcited by 11
  7. 2023In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Modelscited by 11
  8. 2022Robust Bayesian Learning for Reliable Wireless AI: Framework and Applicationscited by 9
  9. 2024Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learningcited by 9
  10. 2021Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networkscited by 8
  11. 2021A Hybrid Architecture for Federated and Centralized Learningcited by 8
  12. 2023How to Evaluate Semantic Communications for Images with ViTScore Metric?cited by 6
23 more
  1. 2022Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learningcited by 5
  2. 2022FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learningcited by 4
  3. 2021CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexitycited by 3
  4. 2022Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networkscited by 2
  5. 2023Systematic Review on Reinforcement Learning in the Field of Fintechcited by 2
  6. 2024Decision Feedback In-Context Symbol Detection over Block-Fading Channelscited by 2
  7. 2025Distributed Associative Memory via Online Convex Optimizationcited by 2
  8. 2022Deep Learning-based List Sphere Decoding for Faster-than-Nyquist (FTN) Signaling Detectioncited by 1
  9. 2024Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channelscited by 1
  10. 2024On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledgecited by 1
  11. 2024Machine Learning in Short-Reach Optical Systems: A Comprehensive Surveycited by 1
  12. 2024Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noisecited by 1
  13. 2025Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channelscited by 1
  14. 2022AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradientcited by 0
  15. 2022Calibrating AI Models for Wireless Communications via Conformal Predictioncited by 0
  16. 2024Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storagecited by 0
  17. 2024Online Optimization for Learning to Communicate over Time-Correlated Channelscited by 0
  18. 2024An explainable machine learning approach for energy forecasting at the household levelcited by 0
  19. 2024Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Frameworkcited by 0
  20. 2025Effective Feature Selection for Predicting Spreading Factor with ML in Large LoRaWAN-based Mobile IoT Networkscited by 0
  21. 2025Decision Feedback In-Context Learning for Wireless Symbol Detectioncited by 0
  22. 2025Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimizationcited by 0
  23. 2025Matching Game Preferences Through Dialogical Large Language Models: A Perspectivecited by 0