Algorithm for Transmission Parameters Selection for Sporadic URLLC Traffic in Uplink
Ultra-Reliable Low-Latency Communications (URLLC) is a key service for fifth generation (5G) cellular systems. Typical requirements for this service are transmission reliability above 99.999% and latency below 1 ms. The paper considers a scenario with sporadic URLLC traffic in the uplink. To satisfy...
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| Vydáno v: | Journal of communications technology & electronics Ročník 67; číslo 12; s. 1492 - 1499 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Moscow
Pleiades Publishing
01.12.2022
Springer Springer Nature B.V |
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| ISSN: | 1064-2269, 1555-6557 |
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| Abstract | Ultra-Reliable Low-Latency Communications (URLLC) is a key service for fifth generation (5G) cellular systems. Typical requirements for this service are transmission reliability above 99.999% and latency below 1 ms. The paper considers a scenario with sporadic URLLC traffic in the uplink. To satisfy the strict latency requirements, user equipments (UEs) use the grant-free channel access method. According to this method, the base station allocates time–frequency resources and selects transmission parameters (i.e., the modulation and coding scheme, number of transmission attempts) in advance for each UE. To provide high resource utilization in the case of sporadic traffic, the base station allocates shared channel resources to several UEs, which can lead to interference between transmissions of different UEs. The paper proposes an algorithm for selection of transmission parameters for each UE that takes into account the channel conditions of each considered UE and the interference caused by transmissions of other UEs. Numerical results obtained with NS-3 show that the proposed algorithm increases the network capacity up to six times with respect to the algorithms presented in the literature. |
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| AbstractList | Ultra-Reliable Low-Latency Communications (URLLC) is a key service for fifth generation (5G) cellular systems. Typical requirements for this service are transmission reliability above 99.999% and latency below 1 ms. The paper considers a scenario with sporadic URLLC traffic in the uplink. To satisfy the strict latency requirements, user equipments (UEs) use the grant-free channel access method. According to this method, the base station allocates time–frequency resources and selects transmission parameters (i.e., the modulation and coding scheme, number of transmission attempts) in advance for each UE. To provide high resource utilization in the case of sporadic traffic, the base station allocates shared channel resources to several UEs, which can lead to interference between transmissions of different UEs. The paper proposes an algorithm for selection of transmission parameters for each UE that takes into account the channel conditions of each considered UE and the interference caused by transmissions of other UEs. Numerical results obtained with NS-3 show that the proposed algorithm increases the network capacity up to six times with respect to the algorithms presented in the literature. |
| Audience | Academic |
| Author | Krasilov, A. N. Belogaev, A. A. Shashin, A. E. Khorov, E. M. |
| Author_xml | – sequence: 1 givenname: A. E. surname: Shashin fullname: Shashin, A. E. email: shashin@wireless.iitp.ru organization: HSE University, Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences – sequence: 2 givenname: A. A. surname: Belogaev fullname: Belogaev, A. A. email: belogaev@iitp.ru organization: HSE University, Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences – sequence: 3 givenname: A. N. surname: Krasilov fullname: Krasilov, A. N. email: krasilov@iitp.ru organization: HSE University, Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences – sequence: 4 givenname: E. M. surname: Khorov fullname: Khorov, E. M. email: khorov@iitp.ru organization: HSE University, Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences |
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| Copyright | Pleiades Publishing, Inc. 2022. ISSN 1064-2269, Journal of Communications Technology and Electronics, 2022, Vol. 67, No. 12, pp. 1492–1499. © Pleiades Publishing, Inc., 2022. Russian Text © The Author(s), 2022, published in Informatsionnye Protsessy, 2022, Vol. 22, No. 2, pp. 29–41. COPYRIGHT 2022 Springer |
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| References | G. Pocovi, T. Kolding, and K. I. Pedersen, “On the cost of achieving downlink ultra-reliable low-latency communications in 5G networks,” IEEE Access 10, 29506–29513 (2022). A. Belogaev, E. Khorov, A. Krasilov, D. Shmelkin, and S. Tang, “Conservative link adaptation for ultra reliable low latency communications,” in 2019 IEEE Int. Black Sea Conf. on Commun. and Networking (BlackSeaCom), 2019 (IEEE, New York, 2019), pp. 1–5. S. Ozaku, Y. Shimbo, H. Suganuma, and F. Maehara, “Adaptive repetition control using terminal mobility for uplink grant-free URLLC,” in Proc. IEEE 91st Vehicular Technology Conf. (VTC2020-Spring), May 25—July 31, 2020 (IEEE, New York, 2020), pp. 1–5. The NS-3 network simulator. [Online]. Available: https://www.nsnam.org/. “5G; Study on scenarios and requirements for next generation access technologies,” 3rd Generation Partnership Project (3GPP), Technical Report (TR) 38.913 (2020). A. Karimi, K. I. Pedersen, N. H. Mahmood, J. Steiner, and P. Mogensen, “5G gentralized multi-cell scheduling for URLLC: Algorithms and system-level performance,” in IEEE Access 6, 72 253–72 262 (2018). Y. Liu, Y. Deng, M. Elkashlan, A. Nallanathan, and G. K. Karagiannidis, “Analyzing grant-free access for URLLC service,” IEEE J. on Selected Areas in Commun. 39, 741–755 (2021). T. Jacobsen, R. Abreu, G. Berardinelli, K. Pedersen, I. Z. Kovacs, and P. E. Mogensen, “Joint resource configuration and MCS selection scheme for uplink grant-free URLLC,” in Proc. IEEE Globecom Workshops (GC Wkshps), 2018 (IEEE, New York, 2018), pp. 1–6. E. Khorov, A. Krasilov, I. Selnitskiy, and I. F. Akyildiz, “A framework to maximize the capacity of 5G systems for ultra-reliable low-latency communications,” IEEE Trans. on Mobile Comput. 20, 2111–2123 (2021). T. Jacobsen, R. Abreu, G. Berardinelli, K. Pedersen, P. Mogensen, I. Z. Kovacs, and T. Madsen, “System level analysis of uplink grant-free transmission for URLLC,” in Proc. IEEE Globecom Workshops (GC Wkshps), Singapure, IEEE, Dec., 2017 (IEEE, New York, 2017), pp. 1–6. “5G; NR; Medium Access Control (MAC) protocol specification,” 3rd Generation Partnership Project (3GPP), Technical Report (TR) 38.321 (2021). G. Berardinelli, N. Mahmood, R. Abreu, T. Jacobsen, K. Pedersen, I. Z. Kovacs, and P. Mogensen, “Reliability analysis of uplink grant-free transmission over shared resources,” IEEE Access 6, 23602–23611 (2018). A. Shashin, A. Belogaev, A. Krasilov, and E. Khorov, “Adaptive transmission parameters selection algorithm for URLLC traffic in uplink,” in 2020 Int. Conf. Engineering and Telecommunication (En&T), Nov. 25–26, 2020, pp. 1–5. Lucas-EstanM. C.GozalvezJ.SepulcreM.On the capacity of 5G NR grant-free scheduling with shared radio resources to support ultra-reliable and low-latency communicationsSensors201919357510.3390/s19163575 T. Jacobsen, R. Abreu, G. Berardinelli, K. Pedersen, I. Z. Kovacs, and P. E. Mogensen, “System level analysis of K-repetition for uplink grant-free URLLC in 5G NR,” in Proc. 25th Eur. Wireless Conf. EW’2019, Aarhus, Denmark, May 2–4, 2019 (EW, 2019), pp. 96–100. S. Lagen, K. Wanuga, H. Elkotby, S. Goyal, N. Patriciello, and L. Giupponi, “New radio physical layer abstraction for system-level simulations of 5G networks,” in Proc. IEEE Int. Conf. on Commun. (ICC), Dublin, Ireland, June 7–11, 2020 (IEEE, New York, 2020), pp. 1–7. “5G; NR; Physical layer procedures for data,” 3rd Generation Partnership Project (3GPP), Technical Report (TR) 38.214 (2021). B. Singh, O. Tirkkonen, Z. Li, and M. A. Uusitalo, “Contention-based access for ultra-reliable low latency uplink transmissions,” IEEE Wireless Commun. Lett. 7, 182–185 (2018). 1839_CR17 1839_CR16 1839_CR15 1839_CR14 1839_CR13 1839_CR9 1839_CR12 1839_CR10 1839_CR6 1839_CR5 1839_CR8 M. C. Lucas-Estan (1839_CR11) 2019; 19 1839_CR7 1839_CR2 1839_CR1 1839_CR4 1839_CR3 1839_CR18 |
| References_xml | – reference: The NS-3 network simulator. [Online]. Available: https://www.nsnam.org/. – reference: A. Belogaev, E. Khorov, A. Krasilov, D. Shmelkin, and S. Tang, “Conservative link adaptation for ultra reliable low latency communications,” in 2019 IEEE Int. Black Sea Conf. on Commun. and Networking (BlackSeaCom), 2019 (IEEE, New York, 2019), pp. 1–5. – reference: “5G; NR; Medium Access Control (MAC) protocol specification,” 3rd Generation Partnership Project (3GPP), Technical Report (TR) 38.321 (2021). – reference: “5G; NR; Physical layer procedures for data,” 3rd Generation Partnership Project (3GPP), Technical Report (TR) 38.214 (2021). – reference: G. Berardinelli, N. Mahmood, R. Abreu, T. Jacobsen, K. Pedersen, I. Z. Kovacs, and P. Mogensen, “Reliability analysis of uplink grant-free transmission over shared resources,” IEEE Access 6, 23602–23611 (2018). – reference: T. Jacobsen, R. Abreu, G. Berardinelli, K. Pedersen, P. Mogensen, I. Z. Kovacs, and T. Madsen, “System level analysis of uplink grant-free transmission for URLLC,” in Proc. IEEE Globecom Workshops (GC Wkshps), Singapure, IEEE, Dec., 2017 (IEEE, New York, 2017), pp. 1–6. – reference: A. Shashin, A. Belogaev, A. Krasilov, and E. Khorov, “Adaptive transmission parameters selection algorithm for URLLC traffic in uplink,” in 2020 Int. Conf. Engineering and Telecommunication (En&T), Nov. 25–26, 2020, pp. 1–5. – reference: G. Pocovi, T. Kolding, and K. I. Pedersen, “On the cost of achieving downlink ultra-reliable low-latency communications in 5G networks,” IEEE Access 10, 29506–29513 (2022). – reference: S. Lagen, K. Wanuga, H. Elkotby, S. Goyal, N. Patriciello, and L. Giupponi, “New radio physical layer abstraction for system-level simulations of 5G networks,” in Proc. IEEE Int. Conf. on Commun. (ICC), Dublin, Ireland, June 7–11, 2020 (IEEE, New York, 2020), pp. 1–7. – reference: A. Karimi, K. I. Pedersen, N. H. Mahmood, J. Steiner, and P. Mogensen, “5G gentralized multi-cell scheduling for URLLC: Algorithms and system-level performance,” in IEEE Access 6, 72 253–72 262 (2018). – reference: T. Jacobsen, R. Abreu, G. Berardinelli, K. Pedersen, I. Z. Kovacs, and P. E. Mogensen, “Joint resource configuration and MCS selection scheme for uplink grant-free URLLC,” in Proc. IEEE Globecom Workshops (GC Wkshps), 2018 (IEEE, New York, 2018), pp. 1–6. – reference: B. Singh, O. Tirkkonen, Z. Li, and M. A. Uusitalo, “Contention-based access for ultra-reliable low latency uplink transmissions,” IEEE Wireless Commun. Lett. 7, 182–185 (2018). – reference: E. Khorov, A. Krasilov, I. Selnitskiy, and I. F. Akyildiz, “A framework to maximize the capacity of 5G systems for ultra-reliable low-latency communications,” IEEE Trans. on Mobile Comput. 20, 2111–2123 (2021). – reference: Lucas-EstanM. C.GozalvezJ.SepulcreM.On the capacity of 5G NR grant-free scheduling with shared radio resources to support ultra-reliable and low-latency communicationsSensors201919357510.3390/s19163575 – reference: S. Ozaku, Y. Shimbo, H. Suganuma, and F. Maehara, “Adaptive repetition control using terminal mobility for uplink grant-free URLLC,” in Proc. IEEE 91st Vehicular Technology Conf. (VTC2020-Spring), May 25—July 31, 2020 (IEEE, New York, 2020), pp. 1–5. – reference: T. Jacobsen, R. Abreu, G. Berardinelli, K. Pedersen, I. Z. Kovacs, and P. E. Mogensen, “System level analysis of K-repetition for uplink grant-free URLLC in 5G NR,” in Proc. 25th Eur. Wireless Conf. EW’2019, Aarhus, Denmark, May 2–4, 2019 (EW, 2019), pp. 96–100. – reference: “5G; Study on scenarios and requirements for next generation access technologies,” 3rd Generation Partnership Project (3GPP), Technical Report (TR) 38.913 (2020). – reference: Y. Liu, Y. Deng, M. Elkashlan, A. Nallanathan, and G. K. Karagiannidis, “Analyzing grant-free access for URLLC service,” IEEE J. on Selected Areas in Commun. 39, 741–755 (2021). – ident: 1839_CR13 – ident: 1839_CR18 doi: 10.1109/EnT50437.2020.9431311 – ident: 1839_CR5 doi: 10.1109/TMC.2020.2976055 – volume: 19 start-page: 3575 year: 2019 ident: 1839_CR11 publication-title: Sensors doi: 10.3390/s19163575 – ident: 1839_CR8 doi: 10.1109/ACCESS.2018.2827567 – ident: 1839_CR14 doi: 10.1109/GLOCOMW.2018.8644377 – ident: 1839_CR2 doi: 10.1109/ACCESS.2022.3158361 – ident: 1839_CR9 doi: 10.1109/JSAC.2020.3018822 – ident: 1839_CR15 doi: 10.1109/VTC2020-Spring48590.2020.9128403 – ident: 1839_CR10 doi: 10.1109/LWC.2017.2763594 – ident: 1839_CR1 – ident: 1839_CR3 doi: 10.1109/BlackSeaCom.2019.8812824 – ident: 1839_CR4 doi: 10.1109/ACCESS.2018.2880289 – ident: 1839_CR17 – ident: 1839_CR12 doi: 10.1109/GLOCOMW.2017.8269137 – ident: 1839_CR16 doi: 10.1109/ICC40277.2020.9149444 – ident: 1839_CR6 – ident: 1839_CR7 |
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| SubjectTerms | Algorithms Communications Engineering Data Transmission in Computer Networks Engineering Interference Network latency Networks Parameters Resource utilization Uplinking Wireless telecommunications equipment |
| Title | Algorithm for Transmission Parameters Selection for Sporadic URLLC Traffic in Uplink |
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