mlsanityData to 14 Oct 2026

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

arXiv 2008.03213 ↗First posted 7 Aug 2020eess.SP cs.IT math.ITcited by 35

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Abstract (arXiv)

Mobile communications have been undergoing a generational change every ten years or so. However, the time difference between the so-called "G's" is also decreasing. While fifth-generation (5G) systems are becoming a commercial reality, there is already significant interest in systems beyond 5G, which we refer to as the sixth-generation (6G) of wireless systems. In contrast to the already published papers on the topic, we take a top-down approach to 6G. We present a holistic discussion of 6G systems beginning with lifestyle and societal changes driving the need for next generation networks. This is followed by a discussion into the technical requirements needed to enable 6G applications, based on which we dissect key challenges, as well as possibilities for practically realizable system solutions across all layers of the Open Systems Interconnection stack. Since many of the 6G applications will need access to an order-of-magnitude more spectrum, utilization of frequencies between 100 GHz and 1 THz becomes of paramount importance. As such, the 6G eco-system will feature a diverse range of frequency bands, ranging from below 6 GHz up to 1 THz. We comprehensively characterize the limitations that must be overcome to realize working systems in these bands; and provide a unique perspective on the physical, as well as higher layer challenges relating to the design of next generation core networks, new modulation and coding methods, novel multiple access techniques, antenna arrays, wave propagation, radio-frequency transceiver design, as well as real-time signal processing. We rigorously discuss the fundamental changes required in the core networks of the future that serves as a major source of latency for time-sensitive applications. While evaluating the strengths and weaknesses of key 6G technologies, we differentiate what may be achievable over the next decade, relative to what is possible.

Key facts. Cited by 35 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Aug 2020.

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Citing papers per year: 2021: 3; 2022: 4; 2023: 5; 2024: 7; 2025: 9; 2026: 7.

35 papers.

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  1. 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 97
  2. 2024Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designscited by 32
  3. 2023AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systemscited by 19
  4. 2023Machine Learning for Large-Scale Optimization in 6G Wireless Networkscited by 18
  5. 2021Waveform Learning for Next-Generation Wireless Communication Systemscited by 10
  6. 2025Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Frameworkcited by 5
  7. 2022CFLIT: Coexisting Federated Learning and Information Transfercited by 4
  8. 2022Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Processcited by 4
  9. 2022The Internet of Senses: Building on Semantic Communications and Edge Intelligencecited by 4
  10. 2024Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networkscited by 3
  11. 2024COST CA20120 INTERACT Framework of Artificial Intelligence Based Channel Modelingcited by 3
  12. 2022Massive Twinning to Enhance Emergent Intelligencecited by 2
23 more
  1. 2023Deep Polar Codescited by 2
  2. 2024Metarobotics for Industry and Society: Vision, Technologies, and Opportunitiescited by 2
  3. 2024ViT LoS V2X: Vision Transformers for Environment-aware LoS Blockage Prediction for 6G Vehicular Networkscited by 2
  4. 2025Domain-Adapted Granger Causality for Real-Time Cross-Slice Attack Attribution in 6G Networkscited by 2
  5. 2026SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Controlcited by 2
  6. 2021Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobilitycited by 1
  7. 2024Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Predictioncited by 1
  8. 2024Two-Stage Radio Map Construction with Real Environments and Sparse Measurementscited by 1
  9. 2025A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applicationscited by 1
  10. 2026Token Encoding for Semantic Recoverycited by 1
  11. 2026Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6Gcited by 1
  12. 2023UAV Trajectory and Multi-User Beamforming Optimization for Clustered Users Against Passive Eavesdropping Attacks With Unknown CSIcited by 0
  13. 2023Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networkscited by 0
  14. 2025A CGAN-LSTM-Based Framework for Time-Varying Non-Stationary Channel Modelingcited by 0
  15. 2025MARS: Radio Map Super-resolution and Reconstruction Method under Sparse Channel Measurementscited by 0
  16. 2025Semantic-Aware Visual Information Transmission With Key Information Extraction Over Wireless Networkscited by 0
  17. 2025Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communicationscited by 0
  18. 2025UrbanMIMOMap: A Ray-Traced MIMO CSI Dataset with Precoding-Aware Maps and Benchmarkscited by 0
  19. 2025Where 6G Stands Today: Evolution, Enablers, and Research Gapscited by 0
  20. 2026Adaptive RAN Slicing Control via Reward-Free Self-Finetuning Agentscited by 0
  21. 2026Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicingcited by 0
  22. 2026AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Surveycited by 0
  23. 2026RIS-Aided mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprintingcited by 0