A Comprehensive Survey of 5G URLLC and Challenges in the 6G Era

📅 2025-08-27
📈 Citations: 0
✨ Influential: 0
📄 PDF
🤖 AI Summary
As 6G evolves, Ultra-Reliable Low-Latency Communication (URLLC) must simultaneously achieve 1-ms end-to-end latency and 99.999% reliability—a fundamental trade-off that existing 5G solutions fail to resolve. Method: This paper adopts a hierarchical perspective—spanning physical-layer coding/retransmission, MAC-layer resource scheduling, and cross-layer joint optimization—to systematically analyze the evolution of 5G URLLC techniques, identify performance bottlenecks in vertical applications, and prospectively examine key challenges for low-latency–high-reliability co-design in 6G scenarios. It proposes a cross-layer design framework grounded in joint latency–reliability modeling. Contribution/Results: The work clarifies intrinsic limitations of current approaches under stringent URLLC requirements and explicitly maps adaptation pathways for emerging 6G enablers—including integrated sensing, communication and computation (ISCC), semantic communication, and intelligent reflecting surfaces (IRS)—into the URLLC architecture. It thus provides both theoretical foundations and a concrete technology roadmap for next-generation URLLC systems.

Technology Category

Machine Learning: Large Multimodal Models (LMMs)Planning, Routing, and Scheduling: Scheduling under UncertaintyMultiagent Systems: Agent Communication

Application Category

Search and Retrieval-Augmented AI: Vertical and domain-specific searchSystems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital healthResponsible Web: Machine-in-the-loop, human agency and autonomy
📝 Abstract
As the wireless communication paradigm is being transformed from human centered communication services towards machine centered communication services, the requirements of rate, latency and reliability for these services have also been transformed drastically. Thus the concept of Ultra Reliable and Low Latency Communication (URLLC) has emerged as a dominant theme for 5G and 6G systems. Though the latency and reliability requirement varies from one use case to another, URLLC services generally aim to achieve very high reliability in the range of 99.999% while ensuring the latency of up to 1 ms. These two targets are however inherently opposed to one another. Significant amounts of work have been carried out to meet these ambitious but conflicting targets. In this article a comprehensive survey of the URLLC approaches in 5G systems are analysed in detail. Effort has been made to trace the history and evolution of latency and reliability issues in wireless communication. A layered approach is taken where physical layer, Medium Access Control (MAC) layer as well as cross layer techniques are discussed in detail. It also covers the design consideration for various 5G and beyond verticals. Finally the article concludes by providing a detailed discussion on challenges and future outlook with particular focus on the emerging 6G paradigm.
Problem

Research questions and friction points this paper is trying to address.

Addressing conflicting ultra-reliable and low-latency requirements in 5G/6G
Analyzing physical and MAC layer techniques for URLLC implementation
Identifying challenges for machine-centric communication in emerging 6G systems
Innovation

Methods, ideas, or system contributions that make the work stand out.

Layered approach across physical and MAC layers
Cross-layer techniques for reliability and latency
Design considerations for 5G and beyond verticals
🔎 Similar Papers
No similar papers found.
💼 Related Jobs
No related jobs found.
M
Md. Emadul Haque
Department of Information and Communication Engineering, University of Rajshahi, Bangladesh
Faisal Tariq
Faisal Tariq
Associate Professor(Senior Lecturer), University of Glasgow
6GIntelligent IoTMachine Learning Applicationse-learningTransnational Education
M
Muhammad R A Khandaker
Main Roads, Western Australia
M
Md. Sakir Hossain
Department of Computer Science and Engineering, BRAC University, Bangladesh
M
Muhammad Ali Imran
James Watt School of Engineering, University of Glasgow, United Kingdom
K
Kai-Kit Wong
Department of Electronic and Electrical Engineering, University College London; Yonsei Frontier Lab, Yonsei University, Seoul, Korea