Details

Autor(en) / Beteiligte

• Ferdouse, Lilatul
• Khwaja, Ahmed Shaharyar
• Anpalagan, Alagan
• Stimpson, Brad
• Arad, Ali
• Woungang, Isaac

Titel

Resource allocation and user assignment schemes in cellular supported industrial IoT networks

Ist Teil von

• Transactions on emerging telecommunications technologies, 2023-06, Vol.34 (6), p.n/a

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Wiley Online Library Journals

Beschreibungen/Notizen

• Industrial Internet of Things (IIoT) deployment underlying cellular networks has been drawing increasing attention in recent years. In this work, we consider group based resource allocation for industrial IoT networks where cellular‐IoT (C‐IoT) devices support uplink transmission for multiple IoT groups/clusters. The joint group and subcarrier optimization problem is formulated for maximizing the cell/group throughput under the optimal group member selection, subcarrier and minimum data rate constraints. Depending on the interference information, the interference aware group allocation (IA‐GA) is proposed to find the cellular user and cellular‐IoT device grouping for each subcarrier. However, to achieve the maximizing the cell/group throughput, another iterative algorithm, namely genetic algorithm based group allocation (GA‐GA) method is proposed, which provides an optimal solution for the user grouping in the most of the cases where an iterative technique is used for the sub‐carrier allocation. Simulations results show that the proposed IA‐GA and GA‐GA methods provide enhanced cell throughput gain and accessibility of the C‐IoTs. This article considers group‐based subcarrier allocation and user association method for cellular IoT devices in Industrial Internet of things (IIoT) networks with the legacy cellular users in cellular networks. Two group allocation methods, namely, the interference‐aware group allocation method (IA‐GA) and the genetic algorithm‐based group allocation method (GA‐GA) are proposed, where the group members are selected based on the formulated group association and QoS constraints.