1. Uplink Resource Allocation for Multi-Cluster Internet-of-Things Deployment Underlaying Cellular Networks.
- Author
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ElHalawany, Basem M., Hashad, Omnia, Wu, Kaishun, and Tag Eldien, Adly S.
- Subjects
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RESOURCE allocation , *HEURISTIC algorithms , *RADIO resource management , *POWER resources , *TELECOMMUNICATION , *MULTIUSER computer systems , *5G networks - Abstract
Internet-of-Things (IoT) deployment underlaying cellular communication have been drawing increasing attention in recent years. In this work, we consider Device-to-Device (D2D) communication technology for enabling uplink transmission in multiple IoT groups/clusters at which the resource block (RB) of each cellular user is reused by multiple IoT devices (IoTDs). Joint resources and power allocation optimization problem is formulated for maximizing both the IoTDs connectivity and cell throughput under an interference constraint. A heuristic algorithm, namely greedy iterative matching (GIM), is proposed as a sub-optimal solution for the resource allocation problem while a fixed-power margin technique is used for the cellular users' power allocation. Simulations results show that the proposed GIM algorithm provides enhanced cell throughput gain and accessibility to IoTDs. The proposed reuse model is applicable in a network at which the number of IoTDs deployed within multiple groups is larger than the available cellular reuse partners. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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