Joint Scheduling and Mobile Edge Computing for Inband NB-IoT Networks

Sengupta, Anisha;Biswas, Nilanjan;Stupia, Ivan;Vandendorpe, Luc
(2024) 2024 International Conference on Signal Processing and Communications (SPCOM) (1.July.2024)

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Authors
  • Sengupta, Anisha
    Author
  • Biswas, NilanjanUCLouvain
    Author
  • Stupia, Ivanorcid-logoUCLouvain
    Author
  • Vandendorpe, LucUCLouvain
    Author
Abstract
In this paper, we perform joint scheduling for cellular users and IoT devices for Inband Narrow Band-IoT networks in the cellular spectrum. The cellular network tries to maximize its communication rate, whereas the IoT network consists of multiple IoT clusters of IoT devices and focuses on a total number of computed bits. Mobile edge computing server is considered to support IoT devices in their computing purpose. We keep provision for multiple physical resource block allocations for a cellular user. However, IoT devices in a cluster may be scheduled at maximum in a physical resource block. The scheduling problem consists of integer and continuous variables, making it non-trivial. We propose a low-complex polynomial-time heuristic algorithm for solving the scheduling problem and show its efficacy.
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Sengupta, A., Biswas, N., Stupia, I., & Vandendorpe, L. (2024). Joint Scheduling and Mobile Edge Computing for Inband NB-IoT Networks. 2024 International Conference on Signal Processing and Communications (SPCOM), 1-5. https://doi.org/10.1109/SPCOM60851.2024.10631609