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Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication

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Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication. / Malik, H.; Alam, M.M.; Le Moullec, Y. et al.
2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings. IEEE, 2018. 8644301.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Malik, H, Alam, MM, Le Moullec, Y & Ni, Q 2018, Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication. in 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings., 8644301, IEEE. https://doi.org/10.1109/GLOCOMW.2018.8644301

APA

Malik, H., Alam, M. M., Le Moullec, Y., & Ni, Q. (2018). Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication. In 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings Article 8644301 IEEE. https://doi.org/10.1109/GLOCOMW.2018.8644301

Vancouver

Malik H, Alam MM, Le Moullec Y, Ni Q. Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication. In 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings. IEEE. 2018. 8644301 doi: 10.1109/GLOCOMW.2018.8644301

Author

Malik, H. ; Alam, M.M. ; Le Moullec, Y. et al. / Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication. 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings. IEEE, 2018.

Bibtex

@inproceedings{e959f45336044814a6011e8147c6627b,
title = "Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication",
abstract = "Ultra-reliable low-latency communication (URLLC) is one of the main challenges faced by future 5G networks to enable mission-critical IoT use-case scenarios. High reliability can be achieved by reducing the requirement of achievable rates, therefore, results in reduced spectral efficiency. Retransmission has been introduced for 5G or beyond, to achieve reliability with improved spectral efficiency at the cost of increased packet latency. Keeping in mind, the trade-off between reliability and latency, in this paper, we have proposed an interference-aware radio resource (IARR) allocation for uplink transmission by formulating a sum-rate maximization problem. The aim of the proposed algorithm is to improve the link quality to achieve high reliability for future 5G networks resulting in reduced retransmissions and packet latency. To reduce the computation complexity of the maximization problem in achieving the globally optimal solution, we propose a progressive interference-aware heuristic solution. The proposed solution is then investigated to evaluate the impact of retransmission and inter-cell interference on the average information rate and latency of the considered multi-cell cellular network. The performance of IARR algorithm is then compared with the conventional round-robin scheduling (RRS). Significant improvement in the link reliability along with the reduction in latency has been observed with IARR algorithm. The results illustrate that the IARR algorithm improves the average rate by 7% and latency by 10% compared to RRS.",
keywords = "5G new radio (5G-NR), Resource allocation, Retransmission, System-level evaluation, Ultra-reliable low-latency communication (URLLC), Economic and social effects, Efficiency, Queueing networks, Radio interference, Radio transmission, Reliability, Scheduling algorithms, Computation complexity, Intercell interference, Low-latency communication, Radio resource allocation, Retransmissions, Sum-rate maximizations, System level evaluation, 5G mobile communication systems",
author = "H. Malik and M.M. Alam and {Le Moullec}, Y. and Q. Ni",
year = "2018",
month = dec,
day = "9",
doi = "10.1109/GLOCOMW.2018.8644301",
language = "English",
booktitle = "2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication

AU - Malik, H.

AU - Alam, M.M.

AU - Le Moullec, Y.

AU - Ni, Q.

PY - 2018/12/9

Y1 - 2018/12/9

N2 - Ultra-reliable low-latency communication (URLLC) is one of the main challenges faced by future 5G networks to enable mission-critical IoT use-case scenarios. High reliability can be achieved by reducing the requirement of achievable rates, therefore, results in reduced spectral efficiency. Retransmission has been introduced for 5G or beyond, to achieve reliability with improved spectral efficiency at the cost of increased packet latency. Keeping in mind, the trade-off between reliability and latency, in this paper, we have proposed an interference-aware radio resource (IARR) allocation for uplink transmission by formulating a sum-rate maximization problem. The aim of the proposed algorithm is to improve the link quality to achieve high reliability for future 5G networks resulting in reduced retransmissions and packet latency. To reduce the computation complexity of the maximization problem in achieving the globally optimal solution, we propose a progressive interference-aware heuristic solution. The proposed solution is then investigated to evaluate the impact of retransmission and inter-cell interference on the average information rate and latency of the considered multi-cell cellular network. The performance of IARR algorithm is then compared with the conventional round-robin scheduling (RRS). Significant improvement in the link reliability along with the reduction in latency has been observed with IARR algorithm. The results illustrate that the IARR algorithm improves the average rate by 7% and latency by 10% compared to RRS.

AB - Ultra-reliable low-latency communication (URLLC) is one of the main challenges faced by future 5G networks to enable mission-critical IoT use-case scenarios. High reliability can be achieved by reducing the requirement of achievable rates, therefore, results in reduced spectral efficiency. Retransmission has been introduced for 5G or beyond, to achieve reliability with improved spectral efficiency at the cost of increased packet latency. Keeping in mind, the trade-off between reliability and latency, in this paper, we have proposed an interference-aware radio resource (IARR) allocation for uplink transmission by formulating a sum-rate maximization problem. The aim of the proposed algorithm is to improve the link quality to achieve high reliability for future 5G networks resulting in reduced retransmissions and packet latency. To reduce the computation complexity of the maximization problem in achieving the globally optimal solution, we propose a progressive interference-aware heuristic solution. The proposed solution is then investigated to evaluate the impact of retransmission and inter-cell interference on the average information rate and latency of the considered multi-cell cellular network. The performance of IARR algorithm is then compared with the conventional round-robin scheduling (RRS). Significant improvement in the link reliability along with the reduction in latency has been observed with IARR algorithm. The results illustrate that the IARR algorithm improves the average rate by 7% and latency by 10% compared to RRS.

KW - 5G new radio (5G-NR)

KW - Resource allocation

KW - Retransmission

KW - System-level evaluation

KW - Ultra-reliable low-latency communication (URLLC)

KW - Economic and social effects

KW - Efficiency

KW - Queueing networks

KW - Radio interference

KW - Radio transmission

KW - Reliability

KW - Scheduling algorithms

KW - Computation complexity

KW - Intercell interference

KW - Low-latency communication

KW - Radio resource allocation

KW - Retransmissions

KW - Sum-rate maximizations

KW - System level evaluation

KW - 5G mobile communication systems

U2 - 10.1109/GLOCOMW.2018.8644301

DO - 10.1109/GLOCOMW.2018.8644301

M3 - Conference contribution/Paper

BT - 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings

PB - IEEE

ER -