Dynamic Multi-Connectivity Activation for Ultra-Reliable and Low-Latency Communication

Mahmood, Nurul Huda; Alves, Hirley

doi:10.1109/iswcs.2019.8877325

Cited by 21 publications

(22 citation statements)

References 14 publications

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“…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. Nevertheless, there is margin for further improvements of reliability-oriented DC in 5G cellular systems.…”

Section: Related Work and Novel Contributionsmentioning

confidence: 95%

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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Section: Related Work and Novel Contributionsmentioning

confidence: 95%

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

Centenaro

Laselva²,

Steiner³

et al. 2020

IEEE Access

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“…For instance, except traditional reactive scheme, the state-of-the-art HARQ retransmission schemes include the K-repetition scheme, where devices blindly retransmit data packets multiple times before receiving feedback, and the proactive scheme, where devices proactively retransmit until receiving positive feedback. In addition, transmission schemes such as multi-connectivity [16] and fast retrial [17] have been proposed to support GF URLLC. Nevertheless, with limited latency budget and wireless resources, their resulting reliability levels and spectral efficiency still needs to be enhanced to meet what is required for emerging URLLC services, particularly when the URLLC access load is relatively high [6].…”

Section: A Backgroundmentioning

confidence: 99%

Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

Ding

Pokhrel

Park

et al. 2022

IEEE Internet Things J.

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Enabling ultra-reliable low-latency communication (URLLC) with stringent requirements for transmitting data packets (e.g., 99.999% reliability and 1 millisecond latency) presents considerable uplink transmission challenges. For each packet transmission over dynamically allocated network radio resources, the conventional random access protocols are based on a request-grant scheme. This induces excessive latency and necessitates reliable control signalling, resulting in overhead. To address these problems, grant-free (GF) solutions are proposed in the fifth-generation (5G) new radio (NR). In this paper, an overview and vision of the state-of-the-art in enabling GF URLLC are presented. In particular, we first provide a comprehensive review of NR specifications and techniques for URLLC, discuss underlying principles, and highlight impeding issues of enabling GF URLLC. Furthermore, we briefly explain two key phenomena of massive multiple-input multiple-output (mMIMO) (i.e., channel hardening and favorable propagation) and build several deep insights into how celebrated mMIMO features can be exploited to address the issues and enhance the performance of GF URLLC. Moving further ahead, we examine the potential of cell-free (CF) mMIMO and analyze its distinctive features and benefits over mMIMO to resolve GF URLLC issues. Finally, we identify future research directions and challenges in enabling GF URLLC with CF mMIMO.

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“…4 shows the time frame structure of downlink URLLC with the different transmission modes. As shown, the initial latency budget of 6 TTIs for the URLLC user leaves a sufficient time budget for a maximum of two re-transmission since a hybrid automatic request (HARQ) round trip time consumes 2 TTIs [48]. In the case of re-transmission(s), multiple re-transmitted packets are combined using chase combining (CC), boosting the desired signal power [49].…”

Section: Scheduling Framework For Urllc Usersmentioning

confidence: 99%

Fog-RAN Enabled Multi-Connectivity and Multi-Cell Scheduling Framework for Ultra-Reliable Low Latency Communication

et al. 2022

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Ultra-Reliable Low Latency Communication (URLLC) is a newly introduced service class targeting emerging Internet-of-Things (IoT) application scenarios. This paper assumes an interferencelimited Fog Radio Access Network (F-RAN) setup composed of multiple Remote Radio Heads (RRHs) equipped with multiple antennas serving single-antenna users. F-RAN facilitates collaborative solutions while reducing delay by pushing the network capabilities beyond the edge. By leveraging diversity, RRHs may cooperate through silencing, reducing interference, or joint transmission strategies such as maximal ratio transmission. We derive closed-form outage probability expressions and attain their diversity gain. We validate the derived analytical results through extensive numerical simulations. Furthermore, we propose a mini-slots-based scheduling framework to serve URLLC users within their fixed latency budget. In an interference-limited regime with the proposed scheduling framework, we show that a performance gain is superior when RRHs cooperate compared to when they do not. We briefly discuss the cost of reliability, i.e., the impact on the system's average sum throughput under cooperation. Moreover, numerical results verify that cooperating transmission schemes boost transmission reliability with a significantly improved latency performance at the cost of reduced system's average sum throughput.

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Dynamic Multi-Connectivity Activation for Ultra-Reliable and Low-Latency Communication

Cited by 21 publications

References 14 publications

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

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

Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

Fog-RAN Enabled Multi-Connectivity and Multi-Cell Scheduling Framework for Ultra-Reliable Low Latency Communication

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