What Will 5G Be?
Not on the map. Why?
Abstract (arXiv)
What will 5G be? What it will not be is an incremental advance on 4G. The previous four generations of cellular technology have each been a major paradigm shift that has broken backwards compatibility. And indeed, 5G will need to be a paradigm shift that includes very high carrier frequencies with massive bandwidths, extreme base station and device densities and unprecedented numbers of antennas. But unlike the previous four generations, it will also be highly integrative: tying any new 5G air interface and spectrum together with LTE and WiFi to provide universal high-rate coverage and a seamless user experience. To support this, the core network will also have to reach unprecedented levels of flexibility and intelligence, spectrum regulation will need to be rethought and improved, and energy and cost efficiencies will become even more critical considerations. This paper discusses all of these topics, identifying key challenges for future research and preliminary 5G standardization activities, while providing a comprehensive overview of the current literature, and in particular of the papers appearing in this special issue.
Key facts. Cited by 25 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 May 2014.
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Citing papers per year: 2021: 7; 2022: 2; 2023: 7; 2024: 2; 2025: 6; 2026: 1.
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- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 97
- 2025A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasurescited by 57
- 2021Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoffcited by 30
- 2021LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receiverscited by 11
- 2023Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systemscited by 8
- 2023Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarioscited by 7
- 2021CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learningcited by 6
- 2022Decentralized Stochastic Multi-Player Multi-Armed Walking Banditscited by 2
- 2023Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systemscited by 2
- 2024Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVscited by 2
- 2021Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learningcited by 1
- 2023Learning-Based One-Bit Maximum Likelihood Detection for Massive MIMO Systems: Dithering-Aided Adaptive Approachcited by 1
13 more
- 2025Asymptotic Analysis of One-bit Quantized Box-Constrained Precoding in Large-Scale Multi-User Systemscited by 1
- 2025Deep-Unfolded Massive Grant-Free Transmission in Cell-Free Wireless Communication Systemscited by 1
- 2021Assign Hysteresis Parameter For Ericsson BTS Power Saving Algorithm Using Unsupervised Learningcited by 0
- 2021Variational Autoencoders for Precoding Matrices with High Spectral Efficiencycited by 0
- 2022Adaptive Learning-Based Detection for One-Bit Quantized Massive MIMO Systemscited by 0
- 2023Standardized Benchmark Dataset for Localized Exposure to a Realistic Source at 10-90 GHzcited by 0
- 2023Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networkscited by 0
- 2023SkyCharge: Deploying Unmanned Aerial Vehicles for Dynamic Load Optimization in Solar Small Cell 5G Networkscited by 0
- 2024Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networkscited by 0
- 2025GCN-Based Throughput-Oriented Handover Management in Dense 5G Vehicular Networkscited by 0
- 2025Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networkscited by 0
- 2025Asymptotic Analysis of Nonlinear One-Bit Precoding in Massive MIMO Systems via Approximate Message Passingcited by 0
- 2026Rethinking Communication Metrics: How Should We Measure Meaning?cited by 0
- 2026Rethinking Communication Metrics: How Should We Measure Meaning?21 Aug 2026
- 2025Asymptotic Analysis of Nonlinear One-Bit Precoding in Massive MIMO Systems via Approximate Message Passing17 Sep 2025
- 2025Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks12 Sep 2025
- 2025A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures24 Jun 2025
- 2025GCN-Based Throughput-Oriented Handover Management in Dense 5G Vehicular Networks8 May 2025
- 2025Deep-Unfolded Massive Grant-Free Transmission in Cell-Free Wireless Communication Systems19 Feb 2025
- 2025Asymptotic Analysis of One-bit Quantized Box-Constrained Precoding in Large-Scale Multi-User Systems5 Feb 2025
- 2024Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks25 Apr 2024
- 2024Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs5 Feb 2024
- 2023SkyCharge: Deploying Unmanned Aerial Vehicles for Dynamic Load Optimization in Solar Small Cell 5G Networks21 Nov 2023
- 2023Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios14 Aug 2023
- 2023Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks8 Aug 2023
13 more
- 2023Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systems13 Jul 2023
- 2023Standardized Benchmark Dataset for Localized Exposure to a Realistic Source at 10-90 GHz3 May 2023
- 2023Learning-Based One-Bit Maximum Likelihood Detection for Massive MIMO Systems: Dithering-Aided Adaptive Approach16 Apr 2023
- 2023Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems14 Feb 2023
- 2022Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits12 Dec 2022
- 2022Adaptive Learning-Based Detection for One-Bit Quantized Massive MIMO Systems13 Nov 2022
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications24 Nov 2021
- 2021Variational Autoencoders for Precoding Matrices with High Spectral Efficiency23 Nov 2021
- 2021Assign Hysteresis Parameter For Ericsson BTS Power Saving Algorithm Using Unsupervised Learning5 Jul 2021
- 2021Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning29 Mar 2021
- 2021Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff18 Feb 2021
- 2021LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers5 Feb 2021
- 2021CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learning12 Jan 2021
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 97
- 2021Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoffcited by 30
- 2021LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receiverscited by 11
- 2023Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systemscited by 8
- 2023Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarioscited by 7
- 2021CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learningcited by 6
- 2022Decentralized Stochastic Multi-Player Multi-Armed Walking Banditscited by 2
- 2023Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systemscited by 2
- 2024Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVscited by 2
- 2021Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learningcited by 1
- 2023Learning-Based One-Bit Maximum Likelihood Detection for Massive MIMO Systems: Dithering-Aided Adaptive Approachcited by 1
- 2025Asymptotic Analysis of One-bit Quantized Box-Constrained Precoding in Large-Scale Multi-User Systemscited by 1
12 most cited of 23 All 23 (JSON)
- 2026Rethinking Communication Metrics: How Should We Measure Meaning?21 Aug 2026
- 2025Asymptotic Analysis of Nonlinear One-Bit Precoding in Massive MIMO Systems via Approximate Message Passing17 Sep 2025
- 2025Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks12 Sep 2025
- 2025GCN-Based Throughput-Oriented Handover Management in Dense 5G Vehicular Networks8 May 2025
- 2025Deep-Unfolded Massive Grant-Free Transmission in Cell-Free Wireless Communication Systems19 Feb 2025
- 2025Asymptotic Analysis of One-bit Quantized Box-Constrained Precoding in Large-Scale Multi-User Systems5 Feb 2025
- 2024Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs5 Feb 2024
- 2023SkyCharge: Deploying Unmanned Aerial Vehicles for Dynamic Load Optimization in Solar Small Cell 5G Networks21 Nov 2023
- 2023Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios14 Aug 2023
- 2023Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks8 Aug 2023
- 2023Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systems13 Jul 2023
- 2023Standardized Benchmark Dataset for Localized Exposure to a Realistic Source at 10-90 GHz3 May 2023
12 newest of 23 All 23 (JSON)