Performance evaluation of opportunistic schedulers based on fairness and throughput in new-generation mobile networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05308-x.pdf
Reference46 articles.
1. Kim D-Y, Jafarkhani H, Lee J-W (2021) Low-complexity dynamic resource scheduling for downlink MC-NOMA over fading channels. IEEE Trans Wirel Commun. https://doi.org/10.1109/TWC.2021.3123298
2. Merlhe C, Gueguen C (2020) Dynamic cell-less radio access network meta-scheduler for high system capacity increase. In: 2020 IEEE 21st International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM), pp. 108-116, https://doi.org/10.1109/WoWMoM49955.2020.00031
3. Guérin Nicolas, Manini Malo, Legouable Rodolphe, Gueguen Cédric (2021) High system capacity pre-scheduler for multi-cell wireless networks. Wirel Netw 27:13–25 arXiv:hal-0312.5029
4. Hamed S, et al (2017) Potential feedback control for data scheduling in LTE cellular networks. In: 8th International Conference on Information, Intelligence, Systems & Applications (IISA) Larnaca. Cyprus. https://doi.org/10.1109/IISA.2017.8316362, arXiv:0173.5499
5. Zhang Z, Moola S, Chong EKP (2010) Opportunistic fair scheduling in wireless networks: an approximate dynamic programming approach. Mobile Netw Appl 15:710–728. https://doi.org/10.1007/s11036-009-0198-x
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