Enhanced Modeling of Uplink Configured Grant Transmissions in URLLC Resource Allocation

Arash Sahbafard; Raheeb Muzaffar; Robert Schmidt; Florian Kaltenberger; Andreas  Springer; Hans-Peter Bernhard

Enhanced Modeling of Uplink Configured Grant Transmissions in URLLC Resource Allocation

Arash Sahbafard, Raheeb Muzaffar, Robert Schmidt, Florian Kaltenberger, Andreas Springer, Hans-Peter Bernhard

Wireless Communications (WLC)

Research output: Conference proceeding/Chapter in Book/Report/ › Conference Paper › peer-review

Abstract

The third generation partnership project (3GPP) has defined ultra-reliable low latency communication (URLLC) as one of the key 5G competencies to provide high network reliability and low latency. The configured grant (CG) transmission, defined in 3GPP Release-15, is a technique that automatically transmits a URLLC packet with a configured number of repetitions to increase reliability. In this paper, we evaluate the performance of CG transmission considering the communication channel state. The results show how to configure CG transmission to reach a defined probability of success for decoding the packets.

Original language	English
Title of host publication	2023 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (Globecom 2023 CQRM)
Place of Publication	Kuala Lumpur, Malaysia
Pages	5
Number of pages	1
Publication status	Published - 1 Dec 2023

Keywords

5G
URLLC
Resource allocation
Reliability

Cite this

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title = "Enhanced Modeling of Uplink Configured Grant Transmissions in URLLC Resource Allocation",

abstract = "The third generation partnership project (3GPP) has defined ultra-reliable low latency communication (URLLC) as one of the key 5G competencies to provide high network reliability and low latency. The configured grant (CG) transmission, defined in 3GPP Release-15, is a technique that automatically transmits a URLLC packet with a configured number of repetitions to increase reliability. In this paper, we evaluate the performance of CG transmission considering the communication channel state. The results show how to configure CG transmission to reach a defined probability of success for decoding the packets.",

keywords = "5G, URLLC, Resource allocation, Reliability",

author = "Arash Sahbafard and Raheeb Muzaffar and Robert Schmidt and Florian Kaltenberger and Andreas Springer and Hans-Peter Bernhard",

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Enhanced Modeling of Uplink Configured Grant Transmissions in URLLC Resource Allocation. / Sahbafard, Arash ; Muzaffar, Raheeb; Schmidt, Robert et al.
2023 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (Globecom 2023 CQRM). Kuala Lumpur, Malaysia, 2023. p. 5.

Research output: Conference proceeding/Chapter in Book/Report/ › Conference Paper › peer-review

TY - GEN

T1 - Enhanced Modeling of Uplink Configured Grant Transmissions in URLLC Resource Allocation

AU - Sahbafard, Arash

AU - Muzaffar, Raheeb

AU - Schmidt, Robert

AU - Kaltenberger, Florian

AU - Springer, Andreas

AU - Bernhard, Hans-Peter

PY - 2023/12/1

Y1 - 2023/12/1

N2 - The third generation partnership project (3GPP) has defined ultra-reliable low latency communication (URLLC) as one of the key 5G competencies to provide high network reliability and low latency. The configured grant (CG) transmission, defined in 3GPP Release-15, is a technique that automatically transmits a URLLC packet with a configured number of repetitions to increase reliability. In this paper, we evaluate the performance of CG transmission considering the communication channel state. The results show how to configure CG transmission to reach a defined probability of success for decoding the packets.

AB - The third generation partnership project (3GPP) has defined ultra-reliable low latency communication (URLLC) as one of the key 5G competencies to provide high network reliability and low latency. The configured grant (CG) transmission, defined in 3GPP Release-15, is a technique that automatically transmits a URLLC packet with a configured number of repetitions to increase reliability. In this paper, we evaluate the performance of CG transmission considering the communication channel state. The results show how to configure CG transmission to reach a defined probability of success for decoding the packets.

KW - 5G

KW - URLLC

KW - Resource allocation

KW - Reliability

M3 - Conference Paper

SP - 5

BT - 2023 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (Globecom 2023 CQRM)

CY - Kuala Lumpur, Malaysia

ER -

Enhanced Modeling of Uplink Configured Grant Transmissions in URLLC Resource Allocation

Abstract

Keywords

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