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All Outputs (9)

ITU-R and WINNER II path loss modeling of femtocells (2013)
Presentation / Conference
Kpojime, H. O., Safdar, G. A., & Aydin, M. E. (2013, November). ITU-R and WINNER II path loss modeling of femtocells. Presented at HET-NETs 2013, The 7th International Working Conference, Ilkley, West Yorkshire, UK

As cellular network users continue to grow; there is a need for in-creased user capacity, higher throughput and improved system performance. An important issue affecting cellular networks is to make services available to re-gions of bad or no recepti... Read More about ITU-R and WINNER II path loss modeling of femtocells.

Refining scheduling policies with genetic algorithms (2013)
Conference Proceeding
Aydin, M. E., Ogur, E., & Aydin, M. E. (2013). Refining scheduling policies with genetic algorithms. In Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion (1513-1518). https://doi.org/10.1145/2464576.2482730

Genetic Algorithms (GAs) are popular approaches in solving various complex real-world problems. However, it is required that a careful attention is to be paid to the contextual knowledge as well as the implementation of genetic material and operators... Read More about Refining scheduling policies with genetic algorithms.

A novel learning-based spectrum sensing technique for cognitive radio networks (2013)
Conference Proceeding
Aydin, M. E., Aydin, M. E., Safdar, G. A., & Aslam, N. (2013). A novel learning-based spectrum sensing technique for cognitive radio networks. In 2013 27th International Conference on Advanced Information Networking and Applications Workshops (505-510). https://doi.org/10.1109/WAINA.2013.64

Spectrum sensing is one of the most challenging issues in Cognitive Radio (CR) networks. It should be performed efficiently to reduce number of false alarms and missed detections. This paper presents a novel approach, which employs collective intelli... Read More about A novel learning-based spectrum sensing technique for cognitive radio networks.

A multi-agent based approach for change management in manufacturing enterprises (2013)
Journal Article
Ayhan, M. B., Aydin, M. E., & Öztemel, E. (2015). A multi-agent based approach for change management in manufacturing enterprises. Journal of Intelligent Manufacturing, 26(5), 975-988. https://doi.org/10.1007/s10845-013-0794-2

© 2013, Springer Science+Business Media New York. Change management becomes an unavoidable necessity for manufacturing enterprises. Since change in business processes carries significant impact on the performance of manufacturing companies, a change... Read More about A multi-agent based approach for change management in manufacturing enterprises.

A quantitative approach for measuring process innovation: A case study in a manufacturing company (2013)
Journal Article
Ayhan, M. B., Öztemel, E., Aydin, M. E., & Yue, Y. (2013). A quantitative approach for measuring process innovation: A case study in a manufacturing company. International Journal of Production Research, 51(11), 3463-3475. https://doi.org/10.1080/00207543.2013.774495

Process management and innovation arguably remain among the concepts under focus of recent researches since there is no significantly outstanding method to measure and monitor the level of innovation in the manufacturing processes over a particular t... Read More about A quantitative approach for measuring process innovation: A case study in a manufacturing company.

Heuristic-based neural networks for stochastic dynamic lot sizing problem (2013)
Journal Article
Aydin, M. E., Düǧenci, M., Şenyiǧgit, E., Şenyiğit, E., Düğenci, M., Aydin, M. E., & Zeydan, M. (2013). Heuristic-based neural networks for stochastic dynamic lot sizing problem. Applied Soft Computing, 13(3), 1332-1339. https://doi.org/10.1016/j.asoc.2012.02.026

Multi-period single-item lot sizing problem under stochastic environment has been tackled by few researchers and remains in need of further studies. It is mathematically intractable due to its complex structure. In this paper, an optimum lot-sizing p... Read More about Heuristic-based neural networks for stochastic dynamic lot sizing problem.

A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA (2013)
Journal Article
Aydin, M. E., Aydin, M. E., Kwan, R., Leung, C., Maple, C., & Zhang, J. (2013). A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA. Applied Soft Computing, 13(5), 2990-2996. https://doi.org/10.1016/j.asoc.2011.12.007

Multiuser scheduling is an important aspect in the performance optimization of a wireless network since it allows multiple users to access a shared channel efficiently by exploiting multiuser diversity. To perform efficient scheduling, channel state... Read More about A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA.

Multiuser scheduling on the LTE downlink with meta-heuristic approaches (2013)
Journal Article
Aydin, M. E., Aydin, M. E., Kwan, R., & Wu, J. (2013). Multiuser scheduling on the LTE downlink with meta-heuristic approaches. Physical Communication, 9, 257-265. https://doi.org/10.1016/j.phycom.2012.01.004

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 earlier, where radio resources for multiple users are... Read More about Multiuser scheduling on the LTE downlink with meta-heuristic approaches.