TR2022-050

Semi-Persistent Scheduling Scheme for Low-Latency and High-Reliability Transmissions in Private 5G Networks


    •  Song, H., Kim, K.J., Guo, J., Orlik, P.V., Parsons, K., "Semi-Persistent Scheduling Scheme for Low-Latency and High-Reliability Transmissions in Private 5G Networks", IEEE International Conference on Communications Workshops (ICC), May 2022, pp. 651-656.
      BibTeX TR2022-050 PDF
      • @inproceedings{song2022may,
      • author = {Song, Hao and Kim, Kyeong Jin and Guo, Jianlin and Orlik, Philip V. and Parsons, Kieran},
      • title = {Semi-Persistent Scheduling Scheme for Low-Latency and High-Reliability Transmissions in Private 5G Networks},
      • booktitle = {IEEE International Conference on Communications Workshops (ICC)},
      • year = 2022,
      • pages = {651--656},
      • month = may,
      • publisher = {IEEE},
      • url = {https://www.merl.com/publications/TR2022-050}
      • }
  • MERL Contacts:
  • Research Areas:

    Communications, Optimization, Signal Processing

Abstract:

To meet the quality of service requirements of private applications, the private fifth-generation (5G) networks are required to provide low-latency and high reliability transmissions. Thus, a new semi-persistent scheduling (SPS) scheme is proposed to enable “grant-free” and immediate uplink access for users. Rescheduling SPS users at the beginning of each SPS period, the scheduling frequency can be significantly reduced. By allocating users to the same wireless channels without requesting wireless resources and waiting for scheduling, the uplink transmission latency and the system complexity can be greatly reduced. To maintain reliability over a changing wireless environment caused by mobility, the proposed SPS scheme employs stochastic geometry for the derivation of the distance distribution within the SPS period, modulation and code scheme (MCS) selection, and scheduling optimization. Based on the MCS selection and the data expectation on an SPS channel, an optimization problem is formulated for reliability and fairness enhancement by jointly taking into account the current channel states and potential channel states in the SPS period. Finally, extensive simulation studies are conducted to demonstrate the effectiveness and superiority of the proposed SPS scheme.

 

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      Date: May 16, 2022 - May 20, 2022
      Where: Seoul, Korea
      MERL Contacts: Jianlin Guo; Toshiaki Koike-Akino; Philip V. Orlik; Kieran Parsons; Pu (Perry) Wang; Ye Wang
      Research Areas: Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Machine Learning, Signal Processing
      Brief
      • MERL Connectivity & Information Processing Team scientists remotely presented 5 papers at the IEEE International Conference on Communications (ICC) 2022, held in Seoul Korea on May 16-20, 2022. Topics presented include recent advancements in communications technologies, deep learning methods, and quantum machine learning (QML). Presentation videos are also found on our YouTube channel. In addition, K. J. Kim organized "Industrial Private 5G-and-beyond Wireless Networks Workshop" at the conference.

        IEEE ICC is one of two IEEE Communications Society’s flagship conferences (ICC and Globecom). Each year, close to 2,000 attendees from over 70 countries attend IEEE ICC to take advantage of a program which consists of exciting keynote session, robust technical paper sessions, innovative tutorials and workshops, and engaging industry sessions. This 5-day event is known for bringing together audiences from both industry and academia to learn about the latest research and innovations in communications and networking technology, share ideas and best practices, and collaborate on future projects.
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