Multi-Connectivity for Ultra-Reliable Communication in Industrial Scenarios

Khatib, Emil J.; Wassie, Dereje Assefa; Berardinelli, Gilberto; Rodríguez, Inés González; Mogensen, Preben

doi:10.1109/vtcspring.2019.8746357

Cited by 10 publications

(7 citation statements)

References 14 publications

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“…In [13] the challenges of using UL and DL CA in 5G are presented. The limitations of different MC schemes in industrial environments have been demonstrated in [14] by conducting measurement campaigns in factories.…”

Section: A Related Workmentioning

confidence: 99%

Proactive Dual Connectivity for Automated Guided Vehicles in Outdoor Industrial Environment

et al. 2022

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5G communication systems are one of the major enabling technologies to meet the needs of Industry 4.0. This paper focuses on the use case of automated guided vehicles (AGVs) in an outdoor industrial scenario. To meet the communication requirements in these type of use cases, dual connectivity (DC) with resource aggregation in the uplink (UL) is generally proposed. However, uncontrolled use of DC schemes may negatively affect the network causing effects such as reduced network capacity, increased signaling, and increased interference. To overcome these issues, this paper proposes and evaluates the use of a proactive DC activation algorithm based on the instantaneous quality of service (QoS) and network conditions. The proposed algorithm has two phases, a first phase in which the QoS prediction is performed, and a second phase in which the DC activation decision is made. The performance evaluation of the algorithm has been carried out in two different scenarios: a single-frequency (SF) network and a dual-frequency (DF) network; and compared to two baselines. Our results show that our predictive DC algorithm is sufficiently robust and can offer benefits in terms of reduced signaling and increased UL performance, especially in scenarios with low to medium traffic load.INDEX TERMS Automated guided vehicles, dual connectivity, industry 4.0, proactive network management, quality of service, uplink.

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Section: A Related Workmentioning

confidence: 99%

Proactive Dual Connectivity for Automated Guided Vehicles in Outdoor Industrial Environment

et al. 2022

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“…Various studies in literature raised several technical challenges, mainly due to the increased radio-resource consumption caused by redundant packet transmissions [21], [22], but also dealing with further network management aspects [23]. Inefficiencies of DC-based data duplication with respect to physical-layer duplication have been also proven via measurement campaigns in industrial scenarios [24]. The observed negative impact of data duplication on system-level performance triggered the investigation of suitable system configurations [21], [25], dynamic link activation heuristics [26], and predictive flow control strategies [27], with the aim of achieving as wide as possible support of URLLC exploiting DC-based data duplication.…”

Section: Related Work and Novel Contributionsmentioning

confidence: 99%

System-Level Study of Data Duplication Enhancements for 5G Downlink URLLC

Centenaro

Laselva²,

Steiner³

et al. 2020

IEEE Access

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Data duplication is studied as a fundamental enabler for ultra-reliable low-latency communication (URLLC) in fifth-generation cellular systems. It entails the simultaneous usage of multiple radio links delivering redundant data between a terminal and the network to boost the transmission reliability. However, the improved reliability comes at a cost of reduced spectral efficiency, since the transmission of multiple instances of the data message on different links occupies more radio resources as compared to sending only one instance using a single link. It is therefore crucial to improve the performance of data duplication schemes, with the aim of reducing the radio resource consumption without degrading the reliability gain provided by this transmission paradigm. In this paper, we propose several methods to increase the downlink URLLC capacity supported by data duplication in fifth-generation cellular networks based on the New Radio standard. A single-user analytical model is derived to evaluate a combination of the proposed enhancements. The most promising solution, namely selective data duplication upon failure which entails a massive reduction of the overall number of duplicate transmissions, is finally evaluated by means of extensive multiuser system-level simulation campaigns. The simulation results with background mobile broadband traffic show that, in the investigated scenario, the proposed solution with 4 Mbps offered URLLC traffic outperforms the baseline approach for data duplication with 1 Mbps offered URLLC traffic, thus increasing the amount of URLLC user equipments that can be effectively sustained by the network.

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“…Another solution consists of eliminating steps in the connection protocols to reduce the access time-known as Grant-free transmission [7]. Multi-connectivity [8,9] has been proposed for the sake of achieving high reliability and low latency. In particular, for the sake of achieving high reliability, many solutions have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Packet Duplication for Industrial URLLC

Segura

Khatib

Barco

2022

Sensors

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The fifth-generation (5G) network is presented as one of the main options for Industry 4.0 connectivity. To comply with critical messages, 5G offers the Ultra-Reliable and Low latency Communications (URLLC) service category with a millisecond end-to-end delay and reduced probability of failure. There are several approaches to achieve these requirements; however, these come at a cost in terms of redundancy, particularly the solutions based on multi-connectivity, such as Packet Duplication (PD). Specifically, this paper proposes a Machine Learning (ML) method to predict whether PD is required at a specific data transmission to successfully send a URLLC message. This paper is focused on reducing the resource usage with respect to pure static PD. The concept was evaluated on a 5G simulator, comparing between single connection, static PD and PD with the proposed prediction model. The evaluation results show that the prediction model reduced the number of packets sent with PD by 81% while maintaining the same level of latency as a static PD technique, which derives from a more efficient usage of the network resources.

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Multi-Connectivity for Ultra-Reliable Communication in Industrial Scenarios

Cited by 10 publications

References 14 publications

Proactive Dual Connectivity for Automated Guided Vehicles in Outdoor Industrial Environment

Proactive Dual Connectivity for Automated Guided Vehicles in Outdoor Industrial Environment

System-Level Study of Data Duplication Enhancements for 5G Downlink URLLC

Dynamic Packet Duplication for Industrial URLLC

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