MPC-Based 5G uRLLC Rate Calculation

IF 4.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jun Liu;Paulo Renato da Costa Mendes;Andreas Wirsen;Daniel Görges
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引用次数: 0

Abstract

The development of 5G enables communication systems to satisfy heterogeneous service requirements of novel applications. For instance, ultra-reliable low latency communication (uRLLC) is applicable for many safety-critical and latency-sensitive scenarios. Many research papers aim to convert the stringent reliability and latency factors to a static data rate requirement. However, in most industrial scenarios, the communication traffic presents short-term/long-term dependency, burst, and non-stationary characteristics. This makes it more challenging to obtain a tight upper bound for the rate requirement of uRLLC. In this work, we introduce a novel solution based on decentralized model predictive control (MPC), where the dynamic incoming communication traffic and the users’ quality of service (QoS) requirements are reformulated into an up-to-date data rate constraint. Under such assumptions, we consider a use case of the resource allocation problem for a single uRLLC network slice. The allocation task is solved by the successive convex approximation (SCA) algorithm for a more in-depth analysis. The simulation results show that the proposed algorithm can deal with non-stationary communication traffic in real-time, as well as provide good performance with guaranteed delay and reliability requirements.
基于 MPC 的 5G uRLLC 速率计算
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来源期刊
IEEE Transactions on Network and Service Management
IEEE Transactions on Network and Service Management Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
15.10%
发文量
325
期刊介绍: IEEE Transactions on Network and Service Management will publish (online only) peerreviewed archival quality papers that advance the state-of-the-art and practical applications of network and service management. Theoretical research contributions (presenting new concepts and techniques) and applied contributions (reporting on experiences and experiments with actual systems) will be encouraged. These transactions will focus on the key technical issues related to: Management Models, Architectures and Frameworks; Service Provisioning, Reliability and Quality Assurance; Management Functions; Enabling Technologies; Information and Communication Models; Policies; Applications and Case Studies; Emerging Technologies and Standards.
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