Quality-Driven Schemes Enhancing Resilience of Wireless Networks under Weather Disruptions

Brūzgienė, Rasa; Narbutaite, Lina; Adomkus, Tomas; Počta, Peter; Brída, Peter; Machaj, Juraj; Leitgeb, Erich; Pezzei, Pirmin; Ivanov, Hristo; Kunicina, Nadezhda; Zabasta, Anatolijs; Čaiko, Jeļena; Patļins, Antons

doi:10.1007/978-3-030-44685-7_12

Cited by 7 publications

(6 citation statements)

References 23 publications

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“…In this work, we adapt the concept of resilience for the physical layer of wireless communication systems, a field in which only limited considerations of resilience exist. Some related chapters in [32] reside in this domain: (a) In [38], QoS in modular positioning systems, wireless sensor networks, and free-space optical (FSO) communication systems is reviewed under weather disruptions. (b) In [39], availability of FSO systems under atmospheric impacts is studied.…”

Section: B Related Literaturementioning

confidence: 99%

Comeback Kid: Resilience for Mixed-Critical Wireless Network Resource Management

Reifert¹,

Roth²,

Ahmad³

et al. 2022

Preprint

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The future sixth generation (6G) of communication systems is envisioned to provide numerous applications in safety-critical contexts, e.g., driverless traffic, modular industry, and smart cities, which require outstanding performance, high reliability and fault tolerance, as well as autonomy. Ensuring criticality awareness for diverse functional safety applications and providing fault tolerance in an autonomous manner are essential for future 6G systems. Therefore, this paper proposes jointly employing the concepts of resilience and mixed criticality. In this contribution, we conduct physical layer resource management in cloud-based networks under the rate-splitting paradigm, which is a promising factor towards achieving high resilience. We recapitulate the concepts individually, outline a joint metric to measure the criticality-aware resilience, and verify its merits in a case study. We, thereby, formulate a non-convex optimization problem, derive an efficient iterative algorithm, propose four resilience mechanisms differing in quality and time of adaption, and conduct numerical simulations. Towards this end, a highly autonomous rate-splitting-enabled physical layer resource management algorithm for future 6G networks respecting mixed-critical QoS levels and providing high levels of resilience is proposed. Results emphasize the appreciable improvements of implementing mixed criticality-aware resilience under channel outages and strict quality of service (QoS) demands. The rate-splitting paradigm is particularly shown to overcome state-of-the-art interference management techniques, and the resilience and throughput adaption over consecutive outage events reveals the proposed schemes suitability for future 6G networks.

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Section: B Related Literaturementioning

confidence: 99%

Comeback Kid: Resilience for Mixed-Critical Wireless Network Resource Management

Reifert¹,

Roth²,

Ahmad³

et al. 2022

Preprint

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“…Because of the complexity of the Mie analytical approach, empirical models for calculating the Mie scattering attenuation based on the notion of visibility (denoted by V ) are often applied. The most important models include those of Kim, of Kruse and of Al Naboulsi [22], [38] for accurate evaluation of optical attenuation, which, apart from the weather-related factors, also depends on physical FSO link characteristics such as wavelength and distance.…”

Section: A Fso Link Availability Under Adverse Weather Conditionsmentioning

confidence: 99%

“…A comparison of the models by Kim, Kruse and Al Naboulsi is presented in [38]. As stated in [22], the Kruse model proposed for the visibility range reaching over 50 km is mainly designed for a dense haze and its precision for fog with V ≤ 1 km is low.…”

Section: A Fso Link Availability Under Adverse Weather Conditionsmentioning

confidence: 99%

“…In general, the capacity available on a given FSO system changes over time as it depends on the time-varying BER, which, in turn, follows from the instantaneous SNR, which is, in turn, characterized by the given level of signal attenuation (A). As presented in [38] and explained in the introduction of this paper, the overall instantaneous attenuation A of an FSO system due to atmospheric effects including fog, rain and snow is composed of three components as shown in the following formula…”

Section: B Formulas For Fso System Capacity Under Adverse Weather Conditionsmentioning

confidence: 99%

“…In practice, it means that only FSO links longer than 2-3 km can become noticeably affected by rain and snow. The respective empirically derived formulas for a r and a s (expressed in [dB/km]) described in [26], [38] are as follows:…”

Section: Calculation Of Attenuation Along a Linkmentioning

confidence: 99%

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Enhancing Resilience of FSO Networks to Adverse Weather Conditions

Kalesnikau

Pióro

Rak³

et al. 2021

IEEE Access

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This article is based on work from COST Action CA15127 ("Resilient communication services protecting end-user applications from disaster-based failures" -RECODIS), supported by COST (European Cooperation in Science and Technology); http://www.cost.eu The work of I. Kalesnikau and M. Pióro was also supported by the National Science Centre, Poland, under the grant no. 2017/25/B/ST7/02313, "Packet routing and transmission scheduling optimization in multi-hop wireless networks with multicast traffic" ABSTRACT Optical wireless networks realized by means of gigabit optical wireless communication (OWC) systems are becoming, in a variety of applications, an important alternative, or a complementary solution, to their fiber-based counterparts. However, performance of the OWC systems can be considerably degraded in periods of unfavorable weather conditions, such as heavy fog, which temporarily reduce the effective capacity of the network. In this paper, we focus on optical wireless mesh networks that use terrestrial links (called FSO -free-space optical -links) composed of several parallel full-duplex FSO systems, and present two complementary solutions that together provide a means to maximize network traffic performance in various weather conditions encountered during network operation. The first solution is a method for estimating the degradation of the effective FSO link capacity in adverse weather conditions such as fog, rain and snow (called the weather states in this paper). The second solution is an optimization model aiming at maximizing the network traffic throughput for a given list of weather states, derived from the conducted measurements. The model assumes the so-called affine flow thinning (AFT) traffic routing and protection mechanism capable of controlling the end-to-end traffic flows in response to fluctuations of capacity available on FSO links caused by changing weather conditions. The proposed link capacity modeling approach and the elaborated optimization model are verified through an exhaustive numerical study, illustrating the trade-off between the increase of traffic performance of the FSO networks and the corresponding cost of additional OWC systems.

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