5G Enhanced Mobile Broadband (eMBB): Evaluation of Scheduling Algorithms Performances for Time-Division Duplex Mode

Authors

  • Asmae Mamane Sidi Mohammed Ben Abdellah University, Fez, Morocco
  • M. Fattah Moulay Ismail University Meknes Morocco
  • M. El Ghazi Sidi Mohammed Ben Abdellah University, Fez, Morocco
  • M. El Bekkali Sidi Mohammed Ben Abdellah University, Fez, Morocco

DOI:

https://doi.org/10.3991/ijim.v16i01.25941

Keywords:

Time Division Duplex, scheduling, throughput, radio resource allocation, 5G NR

Abstract


5G mobile communications introduce novel solutions to overcome the frequency spectrum’s shortage. It broadens the spectrum band to millimeter-waves, employs multiple numerologies to calculate subcarrier spacing, and supports various division duplex modes. Furthermore, the fifth generation of mobile networks intends to employ both, frequency division duplex, and time division duplex. This study focuses on Time Division Duplex (TDD) mode. Compared to the Frequency Division Duplex (FDD), the time duplex mode enhances flexibility and allows efficient frequency spectrum usage. However, the recent papers addressing resource scheduling issues for TDD duplex employ only the current classical schedulers, which were primarily designed for FDD mode, to accomplish radio resource allocation. In this paper, we compared the achievable throughput and data accumulated in the buffer of these schedulers to assess their suitability and compatibility with TDD specifications. The resulting performances show that an appropriate scheduler in line with TDD requirements should be implemented to exploit the available spectrum efficiently and reach the required throughput.

Author Biographies

Asmae Mamane, Sidi Mohammed Ben Abdellah University, Fez, Morocco

Laboratory of Artificial Intelligence, Data Sciences and Emerging Systems

M. Fattah, Moulay Ismail University Meknes Morocco

Intelligent Systems, Networks and Telecommunications, IMAGE laboratory

M. El Ghazi, Sidi Mohammed Ben Abdellah University, Fez, Morocco

Laboratory of Artificial Intelligence, Data Sciences and Emerging Systems

M. El Bekkali, Sidi Mohammed Ben Abdellah University, Fez, Morocco

Laboratory of Artificial Intelligence, Data Sciences and Emerging Systems

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Published

2022-01-18

How to Cite

Mamane, A., Fattah, M., El Ghazi, M., & El Bekkali, M. (2022). 5G Enhanced Mobile Broadband (eMBB): Evaluation of Scheduling Algorithms Performances for Time-Division Duplex Mode. International Journal of Interactive Mobile Technologies (iJIM), 16(01), pp. 120–131. https://doi.org/10.3991/ijim.v16i01.25941

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Section

Papers