Deep Reinforcement Learning Based Resource Allocation For Narrowband Cognitive Radio-IoT Systems

Author:

Muteba K.F.,Djouani K,Olwal T.O.

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

1. R. Konduru, and M. R. Bharamagoudra, “Challenges and Solutions of Interoperability on IoT: How Far Have We Come in Resolving the IoT Interoperability Issues,” International Conference On Smart Technologies For Smart Nation (SmartTechCon), Bangalore, pp. 572 - 576, 2017.

2. A comparative Survey Study on LPWA IoT Technologies: Design, considerations, challenges and solutions;Muteba;Procedia Computer Science,2019

3. 3GPP TR 45.820 v13.1.0. “Cellular System Support for Ultra-Low Complexity and Low Throughput Internet of Things,” Available: [Online], November 2015.

4. Y-J. Yu and J-K. Wang “Uplink Resource Allocation for Narrowband Internet of Things (NB-IoT) Cellular Networks,” APSIPA Annual Summit and Conference, 2018.

5. Overview of 3GPP Release 14 Enhanced NB-IoT;Hoglund;IEEE Network,2017

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