Energy Efficiency Based Multi Service Heterogeneous Access Network Selection Algorithm
Author:
Affiliation:
1. Nanjing University of Posts and Telecommunications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E106.B/10/E106.B_2022EBP3196/_pdf
Reference22 articles.
1. [1] V.N. Ha, G. Kaddoum, and G. Poitau, “Joint radio resource management and link adaptation for multicasting 802.11ax-based WLAN systems,” IEEE Trans. Wireless Commun., vol.20, no.9, pp.6122-6138, 2021. 10.1109/twc.2021.3072051
2. [2] V. Poirot, M. Ericson, M. Nordberg, and K. Andersson, “Energy efficient multi-connectivity algorithms for ultra-dense 5G networks,” Wirel. Netw., vol.26, no.3, pp.2207-2222, 2020. 10.1007/s11276-019-02056-w
3. [3] H.C. Jang and P.Y. Huang, “Adaptive energy saving strategy for LTE-advanced networks,” Int. Conf. Ubiquitous Future Netw., ICUFN, pp.306-310, IEEE, 2015. 10.1109/icufn.2015.7182555
4. [4] J. Janković, Ž. Ilić, A. Oračević, S.A. Kazmi, and R. Hussain, “Effects of differentiated 5G services on computational and radio resource allocation performance,” IEEE Trans. Netw. Serv. Manage., vol.18, no.2, pp.2226-2241, 2021. 10.1109/tnsm.2021.3060865
5. [5] K. Ahuja, B. Singh, and R. Khanna, “Network selection based on available link bandwidth in multi-access networks,” Digit. Commun. Networks, vol.2, no.1, pp.15-23, 2016. 10.1016/j.dcan.2016.01.001
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