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ORCIDMehmet Köseoglu 0001
Person information
- affiliation: Hacettepe University, Department of Computer Engineering, Ankara, Turkey
Other persons with the same name
- Mehmet Köseoglu — disambiguation page
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Journal Articles
- 2022
[j9]Ahmet Melih Gedikli
, Mehmet Köseoglu, Sevil Sen:
Deep reinforcement learning based flexible preamble allocation for RAN slicing in 5G networks. Comput. Networks 215: 109202 (2022)- 2017
- [j8]Mehmet Köseoglu, Ezhan Karasan, Lin Chen:
Cross-Layer Energy Minimization for Underwater ALOHA Networks. IEEE Syst. J. 11(2): 551-561 (2017) - [j7]Mehmet Köseoglu:
Pricing-Based Load Control of M2M Traffic for the LTE-A Random Access Channel. IEEE Trans. Commun. 65(3): 1353-1365 (2017) - 2016
- [j6]Mehmet Köseoglu:
Lower Bounds on the LTE-A Average Random Access Delay Under Massive M2M Arrivals. IEEE Trans. Commun. 64(5): 2104-2115 (2016) - 2014
- [j5]Mehmet Köseoglu, Ezhan Karasan:
Spatio-Temporal Analysis of Throughput for Single-Hop CSMA Networks. IEEE Commun. Lett. 18(4): 564-567 (2014) - [j4]Mehmet Köseoglu, Ezhan Karasan:
Energy-Optimum Throughput and Carrier Sensing Rate in CSMA-Based Wireless Networks. IEEE Trans. Mob. Comput. 13(6): 1200-1212 (2014) - 2013
- [j3]Mehmet Köseoglu, Ezhan Karasan:
Throughput Modeling of Single Hop CSMA Networks with Non-Negligible Propagation Delay. IEEE Trans. Commun. 61(7): 2911-2923 (2013) - 2012
- [j2]Mehmet Köseoglu, Ezhan Karasan, Murat Alanyali:
Effect of network density and size on the short-term fairness performance of CSMA systems. EURASIP J. Wirel. Commun. Netw. 2012: 367 (2012) - 2010
- [j1]Mehmet Köseoglu, Ezhan Karasan:
Joint resource and network scheduling with adaptive offset determination for optical burst switched grids. Future Gener. Comput. Syst. 26(4): 576-589 (2010)
Conference and Workshop Papers
- 2021
- [c9]Ali Turan, Mehmet Köseoglu, Ebru Akcapinar Sezer:
Reinforcement Learning based Adaptive Access Class Barring for RAN Slicing. ICC Workshops 2021: 1-6 - 2020
- [c8]Mücahit Findik, Seyma Yilmaz, Mehmet Köseoglu:
Random Forest Classification of Finger Movements using Electromyogram (EMG) Signals. IEEE SENSORS 2020: 1-4 - 2019
- [c7]Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava, Anders Ahlén:
DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks. MLSP 2019: 1-6 - 2018
- [c6]Bo-Jhang Ho, Bharathan Balaji, Mehmet Köseoglu, Mani B. Srivastava:
Nurture: Notifying Users at the Right Time Using Reinforcement Learning. UbiComp/ISWC Adjunct 2018: 1194-1201 - [c5]Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava:
Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks. SPAWC 2018: 1-5 - 2017
- [c4]Mehmet Köseoglu:
Performance analysis of small data transmission schemes for cellular M2M communications. Med-Hoc-Net 2017: 1-6 - [c3]Merve Nur Tiftik, Duygu Gundogmus, Ayça Tarhan, Mehmet Köseoglu:
Demans Hastalari Icin Ic Mekânda Takip Sistemi(An Indoor Tracking System for Patients of Dementia). UYMS 2017: 285-296 - 2015
- [c2]Mehmet Köseoglu:
Smart pricing for service differentiation and load control of the LTE-A IoT system. WF-IoT 2015: 187-192 - 2007
- [c1]Mehmet Köseoglu, Ezhan Karasan:
Joint path and resource selection for OBS grids with adaptive offset based QoS mechanism. GridNets 2007: 6
Informal and Other Publications
- 2020
- [i2]Bo-Jhang Ho, Bharathan Balaji, Mehmet Köseoglu, Sandeep Sandha, Siyou Pei, Mani B. Srivastava:
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning. CoRR abs/2007.09515 (2020) - 2018
- [i1]Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava:
Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks. CoRR abs/1806.02325 (2018)
Coauthor Index
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