Joint Energy-Efficiency and Throughput Optimization with Admission Control and Resource Allocation in Cognitive Radio Networks
Author:
Affiliation:
1. Dept. of Computer Science and Information Engineering, Providence University
2. Dept. of Computer Science and Engineering, National Sun Yat-sen University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E103.B/2/E103.B_2018EBP3182/_pdf
Reference21 articles.
1. [1] A. Shahini, A. Bagheri, and A. Shahzadi, “A unified approach to performance analysis of energy detection with diversity receivers over Nakagami-m fading channels,” 2013 International Conference on Connected Vehicles and Expo (ICCVE), pp.707-712, Dec. 2013. 10.1109/iccve.2013.6799881
2. [2] N. Zhang J. Ren, and X. Shen, Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks, Springer Verlag (ISBN-10: 3319603175, ISBN-13: 978-3319603179), 2017. 10.1007/978-3-319-60318-6
3. [3] K. Hamdi, W. Zhang, and K. Ben Letaief, “Uplink scheduling with QoS provisioning for cognitive radio systems,” 2007 IEEE Wireless Communications and Networking Conference, pp.2592-2596, March 2007. 10.1109/wcnc.2007.482
4. [4] A.E. Ewaisha and C. Tepedelenlioğu, “Throughput optimization in multichannel cognitive radios with hard-deadline constraints,” IEEE Trans. Veh. Technol., vol.65, no.4, pp.2355-2368, April 2016. 10.1109/tvt.2015.2425951
5. [5] W. Wang, T. Peng, and W. Wang, “Optimal power control under interference temperature constraints in cognitive radio network,” 2007 IEEE Wireless Communications and Networking Conference, pp.116-120, March 2007. 10.1109/wcnc.2007.27
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