All Outputs (5)

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.

Simulated annealing and multiuser scheduling in mobile communication networks (2012)
Book Chapter
Kwan, R., Aydin, M. E., & Leung, C. (2012). Simulated annealing and multiuser scheduling in mobile communication networks. In M. D. S. Guerra Tsuzuki (Ed.), Simulated Annealing - Single and Multiple Objective Problems (113-130). INTECH. https://doi.org/10.5772/45869

Multi objective resource scheduling in LTE networks using reinforcement learning (2012)
Journal Article
Wagen, J. F., Comşa, I. S., Aydin, M., Zhang, S., & Kuonen, P. (2012). Multi objective resource scheduling in LTE networks using reinforcement learning. International Journal of Distributed Systems and Technologies, 3(2), 39-57. https://doi.org/10.4018/jdst.2012040103

The use of the intelligent packet scheduling process is absolutely necessary in order to make the radio resources usage more efficient in recent high-bit-rate demanding radio access technologies such as Long Term Evolution (LTE). Packet scheduling pr... Read More about Multi objective resource scheduling in LTE networks using reinforcement learning.

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.

A genetic algorithm approach for multiuser scheduling on the LTE downlink (2012)
Journal Article
Aydin, M. E., Kwan, R., Ding, W., & Wu, J. (2012). A genetic algorithm approach for multiuser scheduling on the LTE downlink. Lecture Notes in Artificial Intelligence, 2198, 1252-1257

The problem of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed in this paper. The optimization model used imposed that the radio resources for multiple users are jointly a... Read More about A genetic algorithm approach for multiuser scheduling on the LTE downlink.