Extreme ultra-reliable and low-latency communication

Park, Jihong; Samarakoon, Sumudu; Shiri, Hamid; Abdel-Aziz, Mohamed K.; Nishio, Takayuki; Elgabli, Anis; Bennis, Mehdi

doi:10.1038/s41928-022-00728-8

Cited by 70 publications

(49 citation statements)

References 58 publications

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“…Additionally, it would be better to evaluate the link average performance under worst case scenario, we could find the average of the worst case BER i.e. the upper bound BER as expressed in (8). We can compute the average performance of the upper bound of BER using (2) and (8) given by…”

Section: B Ber and Channel Capacitymentioning

confidence: 99%

“…the upper bound BER as expressed in (8). We can compute the average performance of the upper bound of BER using (2) and (8) given by…”

Section: B Ber and Channel Capacitymentioning

confidence: 99%

“…The 6G communication would be intelligent system relying on artificial intelligence, more energy efficient and with a reliability of the order of 99.999999 [6], [7]. Thus, a more accurate and ultra-reliable model for the satellite communication link is required such that a high quality of service and better link availability can be guaranteed under all weather condition with more energy efficient designs [8]. As the next generation system design requires ultra-reliable performance it would be better to design and analyze the receivers and its performance adaptive to the short-term weather forecast i.e.…”

mentioning

confidence: 99%

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Performance Analysis of Satellite Link Using Gaussian Mixture Model under Rain

Kumar¹,

Arnon²

2022

Preprint

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<p>The evolution of communication system to the next generation e.g. B5G and 6G demands an ultra-reliable performance regardless of weather conditions. Such ultra-reliable system design will require that that the effects of short-term adverse weather events on communication system has to be modelled more accurately so that system design should be dynamically adaptive to such events. The performance of satellite link is severely affected by dynamic rain attenuation and thus an accurate and reliable modelling of performance parameters is essential for dynamic fade countermeasures especially above 10 GHz. In this work, we model the energy per bit to noise spectral density ratio ($E_b/N_0$) using Gaussian Mixture (GM) model during rainy events. The developed mathematical expression is used to accurately model the bit error rate (BER), outage probability and channel capacity of the link. The average BER, upper bound on BER and average ergodic capacity of an M-ary phase shift keying scheme (MPSK) using the GM model of $E_b/N_0$ is derived to evaluate the performance of the link under such short-term weather impairments. We then show the numerical results and analysis using the GM model of the measured $E_b/N_0$ data obtained with AMoS-7 satellite at a site located in Israel. </p>

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Section: B Ber and Channel Capacitymentioning

confidence: 99%

“…the upper bound BER as expressed in (8). We can compute the average performance of the upper bound of BER using (2) and (8) given by…”

Section: B Ber and Channel Capacitymentioning

confidence: 99%

mentioning

confidence: 99%

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Performance Analysis of Satellite Link Using Gaussian Mixture Model under Rain

Kumar¹,

Arnon²

2022

Preprint

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“…As an emerging and dominant mission-critical and time-sensitive service class of fifth-generation mobile wireless networks and beyond (5G/B5G), ultra-reliable and low-latency communication (URLLC) has sparked enthusiasm in academia and industry [1], [2]. While studies on 5G URLLC are in full swing, the emergence of some novel applications with more stringent quality-ofservice (QoS) requirements have prompted the need for neXt-generation URLLC (xURLLC) to become the central vision of sixth-generation (6G) communication systems [2], [3]. xURLLC is envisioned to enable multifarious innovative services, such as unmanned vehicles, industrial automation, telesurgery, remote training, tactile internet, etc [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Statistical QoS Provisioning Analysis and Performance Optimization in xURLLC-enabled Massive MU-MIMO Networks: A Stochastic Network Calculus Perspective

Chen¹,

Lu²,

Qin³

et al. 2023

Preprint

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In this paper, fundamentals and performance tradeoffs of the neXt-generation ultra-reliable and lowlatency communication (xURLLC) are investigated from the perspective of stochastic network calculus (SNC). An xURLLC-enabled massive MU-MIMO system model has been developed to accommodate xURLLC features. By leveraging and promoting SNC, we provide a quantitative statistical quality of service (QoS) provisioning analysis and derive the closed-form expression of upper-bounded statistical delay violation probability (UB-SDVP). Based on the proposed theoretical framework, we formulate the UB-SDVP minimization problem that is first degenerated into a one-dimensional integer-search problem by deriving the minimum error probability (EP) detector, and then efficiently solved by the integer-form Golden-Section search algorithm. Moreover, two novel concepts, EP-based effective capacity (EP-EC) and EP-based energy efficiency (EP-EE) have been defined to characterize the tail distributions and performance tradeoffs for xURLLC. Subsequently, we formulate the EP-EC and EP-EE maximization problems and prove that the EP-EC maximization problem is equivalent to the UB-SDVP minimization problem, while the EP-EE maximization problem is solved with a low-complexity outer-descent innersearch collaborative algorithm. Extensive simulations demonstrate that the proposed framework in

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“…Reliability is a major requirement for many modern applications of wireless communication systems [1], [2]. In particular, this includes autonomous vehicles, e.g., self-driving cars and unmanned aerial vehicles (UAVs).…”

Section: Introductionmentioning

confidence: 99%

Multi-User Frequency Assignment for Ultra-Reliable mmWave Two-Ray Channels

Besser

Jorswieck

Coon

2022

2022 20th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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We consider a multi-user two-ray ground reflection scenario with unknown distances between transmitter and receivers. By using two frequencies per user in parallel, we can mitigate possible destructive interference and ensure ultrareliability with only very limited knowledge at the transmitter. In this work, we consider the problem of assigning two frequencies to each receiver in a multi-user communication system such that the average minimum receive power is maximized. In order to solve this problem, we introduce a generalization of the quadratic multiple knapsack problem to include heterogeneous profits and develop an algorithm to solve it. Compared to random frequency assignment, we report a gain of around 6 dB in numerical simulations.

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Extreme ultra-reliable and low-latency communication

Cited by 70 publications

References 58 publications

Performance Analysis of Satellite Link Using Gaussian Mixture Model under Rain

Performance Analysis of Satellite Link Using Gaussian Mixture Model under Rain

Statistical QoS Provisioning Analysis and Performance Optimization in xURLLC-enabled Massive MU-MIMO Networks: A Stochastic Network Calculus Perspective

Multi-User Frequency Assignment for Ultra-Reliable mmWave Two-Ray Channels

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