Yang Li

According to our database1, Yang Li authored at least 12 papers between 2011 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2014
Learning-Aided Sub-Band Selection Algorithms for Spectrum Sensing in Wide-Band Cognitive Radios.
IEEE Trans. Wirel. Commun., 2014

2013
Dynamic Spectrum Tracking Using Energy and Cyclostationarity-Based Multi-Variate Non-Parametric Quickest Detection for Cognitive Radios.
IEEE Trans. Wirel. Commun., 2013

Multidimensional Dirichlet Process-Based Non-Parametric Signal Classification for Autonomous Self-Learning Cognitive Radios.
IEEE Trans. Wirel. Commun., 2013

A Survey on Machine-Learning Techniques in Cognitive Radios.
IEEE Commun. Surv. Tutorials, 2013

Learning-Aided Sensing Scheduling for Wide-Band Cognitive Radios.
Proceedings of the 78th IEEE Vehicular Technology Conference, 2013

2012
Optimal Myopic Sensing and Dynamic Spectrum Access in Cognitive Radio Networks with Low-Complexity Implementations.
IEEE Trans. Wirel. Commun., 2012

Wideband Spectrum Sensing and Non-Parametric Signal Classification for Autonomous Self-Learning Cognitive Radios.
IEEE Trans. Wirel. Commun., 2012

Blind cyclostationary feature detection based spectrum sensing for autonomous self-learning cognitive radios.
Proceedings of IEEE International Conference on Communications, 2012

Wideband PHY/MAC bandwidth aggregation optimization for cognitive radios.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Optimal Myopic Sensing and Dynamic Spectrum Access in Centralized Secondary Cognitive Radio Networks with Low-Complexity Implementations.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

Optimal and Low-Complexity Algorithms for Dynamic Spectrum Access in Centralized Cognitive Radio Networks with Fading Channels.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

Radiobots: The autonomous, self-learning future cognitive radios.
Proceedings of the International Symposium on Intelligent Signal Processing and Communications Systems, 2011


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