Quantifying the Gain of Multi-Connectivity in Wireless LAN

Schwarzenberg, Nick; Wolf, Albrecht; Franchi, Norman; Fettweis, Gerhard

doi:10.1109/eucnc.2018.8442457

Cited by 18 publications

(3 citation statements)

References 13 publications

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“…More recently, we have evaluated the packet error rate of MCo by real link-level Monte-Carlo simulations in Wireless LAN [20], from which we concluded that i) the asymptotic packet error rate is a good metric to evaluate the reliability of MCo for URLLC, ii) the asymptotic outage probability serves as a good benchmark to evaluate practical implementations, and iii) the asymptotic outage probability is suitable for linklevel abstraction.…”

Section: Asymptotic Outage Analysismentioning

confidence: 99%

How Reliable and Capable is Multi-Connectivity?

Wolf¹,

Schulz²,

Dörpinghaus³

et al. 2019

IEEE Trans. Commun.

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Multi-connectivity (MCo) is considered to be a key strategy for enabling reliable transmissions and enhanced data rates in fifth-generation mobile networks, as it provides multiple links from source to destination. In this work, we quantify the communication performance of MCo in terms of outage probability and throughput. For doing so, we establish a simple, yet accurate analytical framework at high signal-to-noise ratio (SNR), in which the number of links, the spectral efficiency, the path loss, and the SNR are incorporated, giving new insights into the potentials of MCo as compared with single-connectivity (SCo). These are our main contributions: (1) finding the exact coding gain of the outage probability for parallel block-fading channels;(2) quantifying the performance improvement of MCo over SCo in terms of SNR gain; and (3) comparing optimal and suboptimal combining algorithms for MCo at the receiver side, namely joint decoding, selection combining, and maximal-ratio combining, also in terms of SNR gain. Additionally, we apply our analytical framework to real field channel measurements and thereby illustrate the potential of MCo to achieve high reliability and high data rates in real cellular networks.

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Section: Asymptotic Outage Analysismentioning

confidence: 99%

How Reliable and Capable is Multi-Connectivity?

Wolf¹,

Schulz²,

Dörpinghaus³

et al. 2019

IEEE Trans. Commun.

Self Cite

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“…Depending on the requirements (reliability, transmission time, etc.) multi-connectivity can also be used, whereby this can be done in both reduced and duplex mode as well as across technologies [35]. The information about the assigned resources is then transferred via the RTM to the RAN.…”

Section: ) Software-defined Networking (Sdn)mentioning

confidence: 99%

Introduction of a 5G-Enabled Architecture for the Realization of Industry 4.0 Use Cases

et al. 2021

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The increasing demand for highly customized products, as well as flexible production lines, can be seen as trigger for the "fourth industrial revolution", referred to as "Industry 4.0". Current systems usually rely on wire-line technologies to connect sensors and actuators, but new use cases such as moving robots or drones demand a higher flexibility on communication services. Wireless technologies, especially 5th generation wireless communication systems (5G) are best suited to address these new requirements. Furthermore, this facilitates the renewal of brownfield deployments to enable a smooth migration to Industry 4.0. This paper presents results from the Tactile Internet 4.0 (TACNET 4.0) project and introduces a tailored architecture that is focused on the communication needs given by representative Industry 4.0 use cases while ensuring parallel compliance to latest developments in relevant standardization.

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“…The authors of [18], [19] deploy multi-connectivity in two use cases, respectively: (a) an experimental testbed at the Hamburg seaport where multi-connectivity enhances network reliability by suppressing disruptions during handovers for mobile barges equipped with sensing devices; and (b) a smallscale industrial hall where multi-connectivity decreases the outage probability for mobile devices. [20] focuses on the use of multi-connectivity in wireless LAN, whereas [21] discusses architectural enhancements of LTE and 5G New Radio for multi-connected mobiles, both in light of reliable communication.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

Multi-Operator Connectivity Sharing for Reliable Networks: A Data-Driven Risk Analysis

Gomes

Kibiłda

Farhang

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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A key distinction between today's and future networks is the appetite for reliable communication to support emerging critical-communication services. In this paper, we study multi-operator connectivity as a form of redundancy to support the design of reliable networks and investigate its trade-offs. This approach is motivated by 3GPP standardisation initiatives of dual-connectivity and similar techniques in industrial wired networks. We deploy a risk awareness performance metric to assess reliability: this superquantile metric accounts for periods of connectivity shortfalls. Our analysis shows that multi-operator connectivity brings significant reliability gains, in particular when network deployments by different operators exhibit high complementarity in coverage. We also explore the effects of multi-connectivity on spectral efficiency in times of high demand for bandwidth. Our study is based on a real-world dataset comprising signal strength indicators of three mobile operators in Dublin, Ireland.

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Quantifying the Gain of Multi-Connectivity in Wireless LAN

Cited by 18 publications

References 13 publications

How Reliable and Capable is Multi-Connectivity?

How Reliable and Capable is Multi-Connectivity?

Introduction of a 5G-Enabled Architecture for the Realization of Industry 4.0 Use Cases

Multi-Operator Connectivity Sharing for Reliable Networks: A Data-Driven Risk Analysis

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