A Hybrid Spectrum Prediction Model Based on Deep Learning
Author:
Affiliation:
1. Harbin Engineering University,College of Information and Communication Engineering,Harbin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956519.pdf?arnumber=9956519
Reference17 articles.
1. Spectrum Occupancy Prediction in Coexisting Wireless Systems Using Deep Learning
2. A New Distributed Dynamic Spectrum Access Model Based on DQN
3. A power allocation algorithm based on cooperative Q-learning for multi-agent D2D communication networks
4. Strengthening Radio Environment Maps with Primary-User Statistical Patterns for Enhancing Cognitive Radio Operation
5. Empirical modelling of spectrum use and evaluation of adaptive spectrum senisng in dynamic spectrum access networks;wellens;Ph D Dissertation,2010
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