5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View
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Abstract (arXiv)
The grand objective of 5G wireless technology is to support three generic services with vastly heterogeneous requirements: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). Service heterogeneity can be accommodated by network slicing, through which each service is allocated resources to provide performance guarantees and isolation from the other services. Slicing of the Radio Access Network (RAN) is typically done by means of orthogonal resource allocation among the services. This work studies the potential advantages of allowing for non-orthogonal sharing of RAN resources in uplink communications from a set of eMBB, mMTC and URLLC devices to a common base station. The approach is referred to as Heterogeneous Non-Orthogonal Multiple Access (H-NOMA), in contrast to the conventional NOMA techniques that involve users with homogeneous requirements and hence can be investigated through a standard multiple access channel. The study devises a communication-theoretic model that accounts for the heterogeneous requirements and characteristics of the three services. The concept of reliability diversity is introduced as a design principle that leverages the different reliability requirements across the services in order to ensure performance guarantees with non-orthogonal RAN slicing. This study reveals that H-NOMA can lead, in some regimes, to significant gains in terms of performance trade-offs among the three generic services as compared to orthogonal slicing.
Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Apr 2018.
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Citing papers per year: 2021: 4; 2022: 4; 2023: 3; 2024: 2; 2025: 3; 2026: 2.
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- 2023Attention-based Open RAN Slice Management using Deep Reinforcement Learningcited by 7
- 2023Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Predictioncited by 6
- 2024What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systemscited by 6
- 2022Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaulcited by 4
- 2025Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networkscited by 3
- 2021Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB trafficcited by 1
- 2021Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networkscited by 1
- 2022Machine Learning Decoder for 5G NR PUCCH Format 0cited by 1
- 2022BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selectioncited by 1
- 2024Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learningcited by 1
- 2021Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networkscited by 0
- 2021CNN based Channel Estimation using NOMA for mmWave Massive MIMO Systemcited by 0
6 more
- 2022Multi-Objective Provisioning of Network Slices using Deep Reinforcement Learningcited by 0
- 2023Multi-Power Level Q-Learning Algorithm for Random Access in NOMA mMTC Systemscited by 0
- 2025Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RANcited by 0
- 2025Distributed Dynamic Associative Memory via Online Convex Optimizationcited by 0
- 2026Post-Selection Distributional Model Evaluationcited by 0
- 2026Intelligent Radio Resource Slicing for 6G In-Body Subnetworkscited by 0
- 2026Intelligent Radio Resource Slicing for 6G In-Body Subnetworks30 Mar 2026
- 2026Post-Selection Distributional Model Evaluation24 Mar 2026
- 2025Distributed Dynamic Associative Memory via Online Convex Optimization28 Nov 2025
- 2025Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN24 Jul 2025
- 2025Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks8 Jan 2025
- 2024What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems30 Sep 2024
- 2024Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning16 Jan 2024
- 2023Attention-based Open RAN Slice Management using Deep Reinforcement Learning15 Jun 2023
- 2023Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction15 Feb 2023
- 2023Multi-Power Level Q-Learning Algorithm for Random Access in NOMA mMTC Systems12 Jan 2023
- 2022BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selection22 Dec 2022
- 2022Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul14 Nov 2022
6 more
- 2022Machine Learning Decoder for 5G NR PUCCH Format 026 Aug 2022
- 2022Multi-Objective Provisioning of Network Slices using Deep Reinforcement Learning27 Jul 2022
- 2021Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks30 Oct 2021
- 2021CNN based Channel Estimation using NOMA for mmWave Massive MIMO System1 Aug 2021
- 2021Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks16 Jul 2021
- 2021Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic2 Mar 2021
- 2023Attention-based Open RAN Slice Management using Deep Reinforcement Learningcited by 7
- 2023Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Predictioncited by 6
- 2024What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systemscited by 6
- 2022Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaulcited by 4
- 2025Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networkscited by 3
- 2021Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB trafficcited by 1
- 2021Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networkscited by 1
- 2022Machine Learning Decoder for 5G NR PUCCH Format 0cited by 1
- 2022BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selectioncited by 1
- 2024Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learningcited by 1
- 2021Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networkscited by 0
- 2021CNN based Channel Estimation using NOMA for mmWave Massive MIMO Systemcited by 0
12 most cited of 16 All 16 (JSON)
- 2026Post-Selection Distributional Model Evaluation24 Mar 2026
- 2025Distributed Dynamic Associative Memory via Online Convex Optimization28 Nov 2025
- 2025Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks8 Jan 2025
- 2024What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems30 Sep 2024
- 2024Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning16 Jan 2024
- 2023Attention-based Open RAN Slice Management using Deep Reinforcement Learning15 Jun 2023
- 2023Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction15 Feb 2023
- 2023Multi-Power Level Q-Learning Algorithm for Random Access in NOMA mMTC Systems12 Jan 2023
- 2022BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selection22 Dec 2022
- 2022Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul14 Nov 2022
- 2022Machine Learning Decoder for 5G NR PUCCH Format 026 Aug 2022
- 2022Multi-Objective Provisioning of Network Slices using Deep Reinforcement Learning27 Jul 2022
12 newest of 16 All 16 (JSON)