The Impact of Numerology on the PDSCH Throughput of the 5G Downlink
Received: 11 July 2024 | Revised: 4 August 2024 | Accepted: 11 August 2024 | Online: 17 August 2024
Corresponding author: Abdullah Alsir Mohamed
Abstract
The introduction of 5G technology has provided numerous improvements in wireless communication systems, like higher data rates, lower latency, power efficiency, and enhanced spectral efficiency. Subcarrier spacing is one of the most important elements affecting system performance. This paper studies the influence of numerology on the Physical Downlink Shared Channel (PDSCH) throughput in the 5G NR downlink. Two types of channel models and different bandwidths are used to evaluate the throughput as a function of the signal-to-noise ratio. This paper aims to find the right numerology for various bandwidths, channel models, and signal-to-noise ratio levels. Results show that the throughput increases as the numerology index decreases for the CDL-C channel model. In contrast, for the TDL-C channel model, increasing the numerology index does not always mean increasing throughput. It can result in decreased throughput in some scenarios.
Keywords:
numerology, 5G, throughput, CDL-C, TDL-CDownloads
References
A. Narayanan et al., "A First Look at Commercial 5G Performance on Smartphones," in Proceedings of The Web Conference 2020, New York, NY, USA, Dec. 2020, pp. 894–905.
L. Marijanović, S. Schwarz, and M. Rupp, "Multiplexing Services in 5G and Beyond: Optimal Resource Allocation Based on Mixed Numerology and Mini-Slots," IEEE Access, vol. 8, pp. 209537–209555, 2020.
N. Patriciello, S. Lagen, L. Giupponi, and B. Bojovic, "5G New Radio Numerologies and their Impact on the End-To-End Latency," in 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Sep. 2018, pp. 1–6.
A. Yazar and H. Arslan, "Reliability enhancement in multi-numerology-based 5G new radio using INI-aware scheduling," EURASIP Journal on Wireless Communications and Networking, vol. 2019, no. 1, May 2019, Art. no. 110.
M. R. Maganti and K. R. Rao, "Enhancing 5G Core Network Performance through Optimal Network Fragmentation and Resource Allocation," Engineering, Technology & Applied Science Research, vol. 14, no. 3, pp. 14588–14593, Jun. 2024.
S. Khabaz, K. O. Boulila, T. M. Trang Nguyen, G. Pujolle, M. E. Aoun, and P. B.Velloso, "A New Priority and Satisfaction-based Resource Allocation Algorithm with Mixed Numerology for 5G-V2X communications," in 2022 14th IFIP Wireless and Mobile Networking Conference (WMNC), Jul. 2022, pp. 85–92.
D. Wang, O. Saraci, R. Sattiraju, Q. Zhou, and H. Schotten, "Effect of Variable Physical Numerologies on Link-Level Performance of 5G NR V2X," Dec. 2022, pp. 291–296.
X. Cheng, R. Zayani, H. Shaiek, and D. Roviras, "Analysis and Cancellation of Mixed-Numerologies Interference for Massive MIMO-OFDM UL," IEEE Wireless Communications Letters, vol. 9, no. 4, pp. 470–474, Apr. 2020.
"ts_138211v170100p.pdf." https://www.etsi.org/deliver/etsi_ts/138200_138299/138211/17.01.00_60/ts_138211v170100p.pdf.
A. Yazar and H. Arslan, "Flexible Multi-Numerology Systems for 5G New Radio," Journal of Mobile Multimedia, vol. 14, no. 4, pp. 367–394, 2018.
N. Chahboun, A. Bellekhiri, J. Zbitou, and Y. Laaziz, "Mutual coupling reduction between antennas array for 5G mobile applications," Indonesian Journal of Electrical Engineering and Computer Science, vol. 34, no. 1, pp. 362–369, Apr. 2024.
K. Boutiba, M. Bagaa, and A. Ksentini, "Radio Resource Management in Multi-numerology 5G New Radio featuring Network Slicing," in ICC 2022 - IEEE International Conference on Communications, Feb. 2022, pp. 359–364.
Y. Zhao, M. Wei, C. Hu, and W. Xie, "Latency Analysis and Field Trial for 5G NR," in 2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Jun. 2022, pp. 1–5.
N. Correia, F. Al-Tam, and J. Rodriguez, "Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios," Sensors, vol. 21, no. 4, Jan. 2021, Art. no. 1494.
F. Altheeb, I. Elshafiey, M. Altamimi, and A.-F. A. Sheta, "Customized Millimeter Wave Channel Model for Enhancement of Next-Generation UAV-Aided Internet of Things Networks," Sensors, vol. 24, no. 5, Jan. 2024, Art. no. 1528.
A. M. Pessoa, B. Sokal, C. F. M. E. Silva, T. F. Maciel, A. L. F. De Almeida, and F. R. P. Cavalcanti, "A CDL-Based Channel Model With Dual-Polarized Antennas for 5G MIMO Systems in Rural Remote Areas," IEEE Access, vol. 8, pp. 163366–163379, 2020.
D. A. Urquiza Villalonga, H. OdetAlla, M. J. Fernández-Getino García, and A. Flizikowski, "Spectral Efficiency of Precoded 5G-NR in Single and Multi-User Scenarios under Imperfect Channel Knowledge: A Comprehensive Guide for Implementation," Electronics, vol. 11, no. 24, Jan. 2022, Art. no. 4237.
J. Baghous, "5G system throughput performance evaluation using Massive-MIMO technology with Cluster Delay Line channel model and non-line of sight scenarios," Infocommunications journal, vol. 13, pp. 40–45, Jan. 2021.
N. Kumari, Reemakshi Rajput, and S. Sharma, "CDL Channel Model: Revolutionizing Wireless Communication," Aug. 2023.
S. Jana, A. K. Mishra, and M. Z. A. Khan, "Sensing the Environment with 5G Scattered Signals (5G-CommSense): A Feasibility Analysis," in 2023 IEEE Applied Sensing Conference (APSCON), Jan. 2023, pp. 1–3.
C.-X. Wang, J. Bian, J. Sun, W. Zhang, and M. Zhang, "A Survey of 5G Channel Measurements and Models," IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp. 3142–3168, 2018.
M. A. Albreem, A. H. A. Habbash, A. M. Abu-Hudrouss, and S. S. Ikki, "Overview of Precoding Techniques for Massive MIMO," IEEE Access, vol. 9, pp. 60764–60801, 2021.
P. Nguyen T. H., T.-N. To, D. Tran-Thi, and Q. Le-Trung, "5G Channel Estimation Based on Whale Optimization Algorithm," Wireless Communications and Mobile Computing, vol. 2023, no. 1, 2023, Art. no. 5800673.
P. M. Aviles, D. Lloria, J. A. Belloch, S. Roger, A. Lindoso, and M. Cobos, "Performance analysis of a millimeter wave MIMO channel estimation method in an embedded multi-core processor," The Journal of Supercomputing, vol. 78, no. 12, pp. 14756–14767, Aug. 2022.
W. Hussein, N. K. Noordin, K. Audah, M. F. B. A. Rasid, A. B. Ismail, and A. Flah, "Cascaded and Separate Channel Estimation based on CNN for RIS-MIMO Systems," Engineering, Technology & Applied Science Research, vol. 14, no. 3, pp. 14768–14774, Jun. 2024.
M. Ali, "Performance Analysis of Physical Downlink Shared Channels for 5G New Radio," Aug. 2019.
S. Khabaz, K. O. Boulila, T. M. Trang Nguyen, G. Pujolle, M. El Aoun, and P. B. Velloso, "A Comprehensive Study of the Impact of 5G Numerologies on V2X Communications," in 2022 13th International Conference on Network of the Future (NoF), Jul. 2022, pp. 1–9.
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