System Model for Average Downlink SINR in 5G Multi-Beam Networks

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

System Model for Average Downlink SINR in 5G Multi-Beam Networks. / Ali, Amaanat; Karabulut, Umur; Awada, Ahmad; Viering, Ingo; Tirkkonen, Olav; Barreto, Andre Noll; Fettweis, Gerhard P.

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019. IEEE, 2019. 8904367 (IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Ali, A, Karabulut, U, Awada, A, Viering, I, Tirkkonen, O, Barreto, AN & Fettweis, GP 2019, System Model for Average Downlink SINR in 5G Multi-Beam Networks. julkaisussa 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019., 8904367, IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops, IEEE, Istanbul, Turkki, 08/09/2019. https://doi.org/10.1109/PIMRC.2019.8904367

APA

Ali, A., Karabulut, U., Awada, A., Viering, I., Tirkkonen, O., Barreto, A. N., & Fettweis, G. P. (2019). System Model for Average Downlink SINR in 5G Multi-Beam Networks. teoksessa 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019 [8904367] (IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops). IEEE. https://doi.org/10.1109/PIMRC.2019.8904367

Vancouver

Ali A, Karabulut U, Awada A, Viering I, Tirkkonen O, Barreto AN et al. System Model for Average Downlink SINR in 5G Multi-Beam Networks. julkaisussa 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019. IEEE. 2019. 8904367. (IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops). https://doi.org/10.1109/PIMRC.2019.8904367

Author

Ali, Amaanat ; Karabulut, Umur ; Awada, Ahmad ; Viering, Ingo ; Tirkkonen, Olav ; Barreto, Andre Noll ; Fettweis, Gerhard P. / System Model for Average Downlink SINR in 5G Multi-Beam Networks. 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019. IEEE, 2019. (IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops).

Bibtex - Lataa

@inproceedings{e97f322df6474f8ca7082af6cddc3531,
title = "System Model for Average Downlink SINR in 5G Multi-Beam Networks",
abstract = "To study critical 5G mobility features like zero-millisecond interruption time and multi-connectivity, an average downlink Signal-to-Interference and Noise Ratio (SINR) is needed for radio link failure detection and throughput calculation. This paper presents an accurate approximation of the average downlink SINR with low computational complexity in 5G networks where the base station forms multiple beams simultaneously. To this end, geometry-based link budget is formulated first for both desired and interfering downlink signals. Then, a closed form expression of the average downlink SINR is derived for multi-beam scheduling system and approximated by Monte-Carlo experiment using beam scheduling probabilities. In addition, the SINR model is derived for both strict and opportunistic resource fair scheduler where the latter targets a higher utilization of radio resources. Results have revealed that with increasing number of scheduled beams, the average downlink SINR generally degrades while the network throughput improves. Moreover, it has been also shown that the opportunistic resource fair scheduler performs better than the strict in terms of utilizing available network resources.",
keywords = "5G, Average Downlink SINR, Intra-cell and Inter-cell interference, Monte-Carlo, NR, Radio Resource Scheduling, Strict and Opportunistic Resource Fair Scheduling",
author = "Amaanat Ali and Umur Karabulut and Ahmad Awada and Ingo Viering and Olav Tirkkonen and Barreto, {Andre Noll} and Fettweis, {Gerhard P.}",
year = "2019",
month = "9",
day = "1",
doi = "10.1109/PIMRC.2019.8904367",
language = "English",
series = "IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops",
publisher = "IEEE",
booktitle = "2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019",
address = "United States",

}

RIS - Lataa

TY - GEN

T1 - System Model for Average Downlink SINR in 5G Multi-Beam Networks

AU - Ali, Amaanat

AU - Karabulut, Umur

AU - Awada, Ahmad

AU - Viering, Ingo

AU - Tirkkonen, Olav

AU - Barreto, Andre Noll

AU - Fettweis, Gerhard P.

PY - 2019/9/1

Y1 - 2019/9/1

N2 - To study critical 5G mobility features like zero-millisecond interruption time and multi-connectivity, an average downlink Signal-to-Interference and Noise Ratio (SINR) is needed for radio link failure detection and throughput calculation. This paper presents an accurate approximation of the average downlink SINR with low computational complexity in 5G networks where the base station forms multiple beams simultaneously. To this end, geometry-based link budget is formulated first for both desired and interfering downlink signals. Then, a closed form expression of the average downlink SINR is derived for multi-beam scheduling system and approximated by Monte-Carlo experiment using beam scheduling probabilities. In addition, the SINR model is derived for both strict and opportunistic resource fair scheduler where the latter targets a higher utilization of radio resources. Results have revealed that with increasing number of scheduled beams, the average downlink SINR generally degrades while the network throughput improves. Moreover, it has been also shown that the opportunistic resource fair scheduler performs better than the strict in terms of utilizing available network resources.

AB - To study critical 5G mobility features like zero-millisecond interruption time and multi-connectivity, an average downlink Signal-to-Interference and Noise Ratio (SINR) is needed for radio link failure detection and throughput calculation. This paper presents an accurate approximation of the average downlink SINR with low computational complexity in 5G networks where the base station forms multiple beams simultaneously. To this end, geometry-based link budget is formulated first for both desired and interfering downlink signals. Then, a closed form expression of the average downlink SINR is derived for multi-beam scheduling system and approximated by Monte-Carlo experiment using beam scheduling probabilities. In addition, the SINR model is derived for both strict and opportunistic resource fair scheduler where the latter targets a higher utilization of radio resources. Results have revealed that with increasing number of scheduled beams, the average downlink SINR generally degrades while the network throughput improves. Moreover, it has been also shown that the opportunistic resource fair scheduler performs better than the strict in terms of utilizing available network resources.

KW - 5G

KW - Average Downlink SINR

KW - Intra-cell and Inter-cell interference

KW - Monte-Carlo

KW - NR

KW - Radio Resource Scheduling

KW - Strict and Opportunistic Resource Fair Scheduling

UR - http://www.scopus.com/inward/record.url?scp=85075892310&partnerID=8YFLogxK

U2 - 10.1109/PIMRC.2019.8904367

DO - 10.1109/PIMRC.2019.8904367

M3 - Conference contribution

T3 - IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops

BT - 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019

PB - IEEE

ER -

ID: 39545472