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MAC Optimization Based on the Radio Resource Allocation in a 5G eMBB System Simulated in the MmWave Model

MAC Optimization Based on the Radio Resource Allocation in a 5G eMBB System Simulated in the MmWave Model

Ismail Angri, Abdellah Najid, Mohammed Mahfoudi
Copyright: © 2021 |Volume: 10 |Issue: 2 |Pages: 23
ISSN: 2155-6261|EISSN: 2155-627X|EISBN13: 9781799862338|DOI: 10.4018/IJWNBT.2021070103
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MLA

Angri, Ismail, et al. "MAC Optimization Based on the Radio Resource Allocation in a 5G eMBB System Simulated in the MmWave Model." IJWNBT vol.10, no.2 2021: pp.32-54. http://doi.org/10.4018/IJWNBT.2021070103

APA

Angri, I., Najid, A., & Mahfoudi, M. (2021). MAC Optimization Based on the Radio Resource Allocation in a 5G eMBB System Simulated in the MmWave Model. International Journal of Wireless Networks and Broadband Technologies (IJWNBT), 10(2), 32-54. http://doi.org/10.4018/IJWNBT.2021070103

Chicago

Angri, Ismail, Abdellah Najid, and Mohammed Mahfoudi. "MAC Optimization Based on the Radio Resource Allocation in a 5G eMBB System Simulated in the MmWave Model," International Journal of Wireless Networks and Broadband Technologies (IJWNBT) 10, no.2: 32-54. http://doi.org/10.4018/IJWNBT.2021070103

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Abstract

5G NR (new radio) systems support multiple use cases, namely enhanced mobile broadband (eMBB), ultra-reliable and low latency communications (URLLC), and massive machine-type communications (mMTC), to meet the needs of different types of applications. The multi users-downlink packet scheduling (MU-DLPS) is used for the 5G NR radio resource management (RRM). In this paper, the authors show that the radio resource scheduling algorithms, which have been applied to 4G, are also efficient and can be used in 5G networks. In this objective, the authors simulated scheduling schemes in a 5G eMBB environment. The algorithms were developed in C++ for the first time and were simulated using the mmWave model of the NS-3 simulator. Mobility scenarios with fixed and mobile nodes have been implemented. The comparison was made using python programs, newly and specifically developed for the data extraction. The results show that five strategies achieve remarkable values in terms of system throughput and downlink latency.

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