"An Efficient and Lightweight Predictive Channel Assignment Scheme for ..."

Sadman Sakib et al. (2021)

> Home

Details and statistics

DOI: 10.1109/JIOT.2020.3032516

access: closed

type: Journal Article

metadata version: 2021-04-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/iotj/SakibTFFN21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/iotj/SakibTFFN21
Sadman Sakib, Tahrat Tazrin, Mostafa M. Fouda, Zubair Md. Fadlullah, Nidal Nasser:
An Efficient and Lightweight Predictive Channel Assignment Scheme for Multiband B5G-Enabled Massive IoT: A Deep Learning Approach. IEEE Internet Things J. 8(7): 5285-5297 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.