Toward Immersive Communications in 6G
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Abstract (arXiv)
The sixth generation (6G) networks are expected to enable immersive communications and bridge the physical and the virtual worlds. Integrating extended reality, holography, and haptics, immersive communications will revolutionize how people work, entertain, and communicate by enabling lifelike interactions. However, the unprecedented demand for data transmission rate and the stringent requirements on latency and reliability create challenges for 6G networks to support immersive communications. In this survey article, we present the prospect of immersive communications and investigate emerging solutions to the corresponding challenges for 6G. First, we introduce use cases of immersive communications, in the fields of entertainment, education, and healthcare. Second, we present the concepts of immersive communications, including extended reality, haptic communication, and holographic communication, their basic implementation procedures, and their requirements on networks in terms of transmission rate, latency, and reliability. Third, we summarize the potential solutions to addressing the challenges from the aspects of communication, computing, and networking. Finally, we discuss future research directions and conclude this study.
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Mar 2023.
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Citing papers per year: 2023: 1; 2024: 3; 2025: 9; 2026: 4.
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- 2024RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Constructioncited by 55
- 2025RadioDiff-k2: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Constructioncited by 19
- 2025RadioDiff-3D: A 3D×3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communicationcited by 16
- 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
- 2025RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Constructioncited by 11
- 2023Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approachcited by 5
- 2024User-centric Immersive Communications in 6G: A Data-oriented Framework via Digital Twincited by 5
- 2026RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reusecited by 4
- 2025Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiencescited by 3
- 2026RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Constructioncited by 2
- 2025User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Realitycited by 1
- 2026BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precodingcited by 1
5 more
- 2024Variational Source-Channel Coding for Semantic Communicationcited by 0
- 2025Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Applicationcited by 0
- 2025Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networkscited by 0
- 2025RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communicationscited by 0
- 2026Learn for Variation: Efficient AAV Trajectory Learning through a Differentiable Wireless World Modelcited by 0
- 2026RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction19 Mar 2026
- 2026BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding19 Mar 2026
- 2026Learn for Variation: Efficient AAV Trajectory Learning through a Differentiable Wireless World Model19 Mar 2026
- 2026RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse6 Jan 2026
- 2025RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communications29 Nov 2025
- 2025Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks13 Oct 2025
- 2025User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Reality30 Sep 2025
- 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art22 Jul 2025
- 2025RadioDiff-3D: A 3D×3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication16 Jul 2025
- 2025Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiences7 Jul 2025
- 2025Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application6 Jun 2025
- 2025RadioDiff-k2: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction22 Apr 2025
5 more
- 2025RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction19 Apr 2025
- 2024User-centric Immersive Communications in 6G: A Data-oriented Framework via Digital Twin3 Oct 2024
- 2024Variational Source-Channel Coding for Semantic Communication26 Sep 2024
- 2024RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction16 Aug 2024
- 2023Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach15 Jun 2023
- 2024RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Constructioncited by 55
- 2025RadioDiff-k2: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Constructioncited by 19
- 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
- 2026RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reusecited by 4
- 2026RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Constructioncited by 2
- 2025Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Applicationcited by 0
- 2026RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction19 Mar 2026
- 2026RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse6 Jan 2026
- 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art22 Jul 2025
- 2025Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application6 Jun 2025
- 2025RadioDiff-k2: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction22 Apr 2025
- 2024RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction16 Aug 2024
- 2025RadioDiff-3D: A 3D×3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communicationcited by 16
- 2025RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Constructioncited by 11
- 2023Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approachcited by 5
- 2024User-centric Immersive Communications in 6G: A Data-oriented Framework via Digital Twincited by 5
- 2025Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiencescited by 3
- 2025User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Realitycited by 1
- 2026BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precodingcited by 1
- 2024Variational Source-Channel Coding for Semantic Communicationcited by 0
- 2025Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networkscited by 0
- 2025RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communicationscited by 0
- 2026BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding19 Mar 2026
- 2025RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communications29 Nov 2025
- 2025Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks13 Oct 2025
- 2025User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Reality30 Sep 2025
- 2025RadioDiff-3D: A 3D×3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication16 Jul 2025
- 2025Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiences7 Jul 2025
- 2025RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction19 Apr 2025
- 2024User-centric Immersive Communications in 6G: A Data-oriented Framework via Digital Twin3 Oct 2024
- 2024Variational Source-Channel Coding for Semantic Communication26 Sep 2024
- 2023Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach15 Jun 2023