All Outputs (4)

Reinforcement learning based radio resource scheduling in LTE-advanced (2011)
Conference Proceeding
Comsa, I. S., Aydin, M., Zhang, S., Kuonen, P., & Wagen, J. F. (2011). Reinforcement learning based radio resource scheduling in LTE-advanced.

In this paper, a novel radio resource scheduling policy for Long Term Evolution Advanced (LTE-A) radio access technology in downlink acceptance is proposed. The scheduling process works with dispatching rules which are various with different behavior... Read More about Reinforcement learning based radio resource scheduling in LTE-advanced.

Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management (2011)
Journal Article
Bessis, N., Assimakopoulou, E., Aydin, M. E., & Xhafa, F. (2011). Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management. Studies in Computational Intelligence, 352, 503-526. https://doi.org/10.1007/978-3-642-20344-2_19

Much work is underway within the broad next generation emerging technologies community on issues associated with the development of services to foster synergies and collaboration via the integration of distributed and heterogeneous resources, systems... Read More about Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management.

Multiuser scheduling on the LTE downlink with simulated annealing (2011)
Conference Proceeding
Aydin, M. E., Kwan, R., Wu, J., & Zhang, J. (2011). Multiuser scheduling on the LTE downlink with simulated annealing. In 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring). , (1-5). https://doi.org/10.1109/VETECS.2011.5956238

In this paper, the issue of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed. An optimization model has been proposed in [1], where radio resources for multiple users are j... Read More about Multiuser scheduling on the LTE downlink with simulated annealing.

Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters (2011)
Conference Proceeding
Aydin, M. E., Bessis, N., Asimakopoulou, E., Xhafa, F., & Wu, J. (2011). Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters. In Proceedings of 2011 IEEE International Conference on Advanced Information Networking and Applications. , (332-339). https://doi.org/10.1109/AINA.2011.75

Much work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. In previou... Read More about Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters.