Skip to main content

Research Repository

Advanced Search

Outputs (2)

A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks (2012)
Conference Proceeding
Sorin Comsa, I., Zhang, S., Aydin, M., Kuonen, P., & Wagen, J. F. (2012). A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks. In 37th Annual IEEE Conference on Local Computer Networks (332-335). https://doi.org/10.1109/LCN.2012.6423642

The tradeoff concept between system capacity and user fairness attracts a big interest in LTE-Advanced resource allocation strategies. By using static threshold values for throughput or fairness, regardless the network conditions, makes the scheduler... Read More about A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks.

Collective intelligence for monitoring innovation and change in manufacturing industry (2012)
Conference Proceeding
Ayhan, M. B., Aydin, M. E., & Oztemel, E. (2012). Collective intelligence for monitoring innovation and change in manufacturing industry. In Proceedings of the World Congress on Engineering 2012. , (1395-1400)

© 2012 Newswood Limited. All rights reserved. Change monitoring and management become an unavoidable necessity for companies in order to stay competitive in global market.This requires thorough handling models for change management to attain a system... Read More about Collective intelligence for monitoring innovation and change in manufacturing industry.