dc.contributor.author | Chen, Y | |
dc.contributor.author | Lu, H | |
dc.contributor.author | Qin, L | |
dc.contributor.author | Deng, Y | |
dc.contributor.author | Nallanathan, A | |
dc.date.accessioned | 2024-07-11T11:49:25Z | |
dc.date.available | 2024-07-11T11:49:25Z | |
dc.date.issued | 2023-12-12 | |
dc.identifier.citation | Y. Chen, H. Lu, L. Qin, Y. Deng and A. Nallanathan, "When xURLLC Meets NOMA: A Stochastic Network Calculus Perspective," in IEEE Communications Magazine, vol. 62, no. 6, pp. 90-96, June 2024, doi: 10.1109/MCOM.020.2300156. keywords: {NOMA;Delays;Resource management;Reliability;Probability;Network architecture;Low latency communication;Quality of service;Power demand;Next generation networking;Optimization methods;Stochastic processes}, | en_US |
dc.identifier.issn | 0163-6804 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/98017 | |
dc.description.abstract | The advent of next-generation ultra-reliable and low-latency communications (xURLLC) presents stringent and unprecedented requirements for key performance indicators (KPls). As a disruptive technology, non-orthogonal multiple access (NOMA) harbors the potential to fulfill these stringent KPls essential for xURLLC. However, the immaturity of research on the tail distributions of these KPls significantly impedes the application of NOMA to xURLLC. Stochastic network calculus (SNC), as a potent methodology, is leveraged to provide dependable theoretical insights into tail distribution analysis and statistical QoS provisioning (SQP). In this article, we develop a NOMA-assisted uplink xURLLC network architecture that incorporates an SNC-based SQP theoretical framework (SNC-SQP) to support tail distribution analysis in terms of delay, age-of-information (AoI), and reliability. Based on SNC-SQP, an SQP-driven power optimization problem is proposed to minimize transmit power while guaranteeing xURLLC's KPls on delay, AoI, reliability, and power consumption. Extensive simulations validate our proposed theoretical framework and demonstrate that the proposed power allocation scheme significantly reduces uplink transmit power and outperforms conventional schemes in terms of SQP performance. | en_US |
dc.format.extent | 90 - 96 | |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | IEEE Communications Magazine | |
dc.rights | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
dc.title | When xURLLC Meets NOMA: A Stochastic Network Calculus Perspective | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/MCOM.020.2300156 | |
pubs.issue | 6 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 62 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
rioxxterms.funder.project | b215eee3-195d-4c4f-a85d-169a4331c138 | en_US |