Maximizing Downlink User Connection Density in NOMA-aided NB-IoT Networks Through a Graph Matching Approach

• Published in: 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) pp. 1 - 7
• Main Authors: Mishra, Shashwat, Salaun, Lou, Gorce, Jean-Marie, Chen, Chung Shue
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2022
• Subjects: B5G; Bipartite graph; Bipartite Graph Matching; Downlink; Frequency diversity; Industrial IoT; Machine-to-Machine Communication; Massive Connectivity; NOMA; Performance evaluation; Quality of service; Vehicular and wireless technologies

We develop a framework for maximizing the number of transmitted packets for devices in a Narrowband Internet of Things (NB-IoT) network using non-orthogonal multiple access (NOMA) in the downlink. The base station (BS) chooses one of the multiple available physical resource blocks (PRBs) that are we...