Maximizing Downlink User Connection Density in NOMA-aided NB-IoT Networks Through a Graph Matching Approach-Reference-Cited by-同舟云学术

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

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
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Author:

Mishra Shashwat¹,Salaun Lou¹,Gorce Jean-Marie¹,Chen Chung Shue¹

Affiliation:

1. Nokia Bell Labs, Paris-Saclay Center,Nozay,France,91620

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10012685/10012692/10012847.pdf?arnumber=10012847

Reference13 articles.

1. Cellular system support for ultra-low complexity and low throughput Internet of Things (CIoT);3rd Generation Partnership Project (3GPP) Technical Report (TR) 45 820,2015

2. Fundamental Limits of Non-Orthogonal Multiple Access (NOMA) for the Massive Gaussian Broadcast Channel in Finite Block-Length

3. A shortest augmenting path algorithm for dense and sparse linear assignment problems

4. Comparative Analysis of Channel Models for Industrial IoT Wireless Communication

5. Massive IoT Access With NOMA in 5G Networks and Beyond Using Online Competitiveness and Learning

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