Page 272 - From Smart Grid to Internet of Energy
P. 272
Cognitive radio based smart grid communications Chapter 6 243
[3] I.F. Akyildiz, W.-Y. Lee, M.C. Vuran, S. Mohanty, Next generation/dynamic spectrum access/
cognitive radio wireless networks: a survey. Comput. Netw. 50 (2006) 2127–2159, https://doi.
org/10.1016/j.comnet.2006.05.001.
[4] E. FCC, Docket no. 02-135 Spectrum Policy Task Force Report, Federal Communications
Commission (FCC), 2002.
[5] F.E.D. No, No 02–155 Spectrum Policy Task Force Report, Federal Communications Com-
mission (FCC), 2002.
[6] C. Powell, ET Docket no 03–222 Notice of Proposed Rule Making and Order, Federal Com-
munications Commission, Washington, 2003.
[7] H. Kim, Efficient Identification and Utilization of Spectrum Opportunities in Cognitive Radio
Networks, 2010.
[8] M. McHenry, Spectrum white space measurements, in: New America Foundation Broadband
Forum, 2003June.
[9] S. Yin, D. Chen, Q. Zhang, M. Liu, S. Li, Mining spectrum usage data: a large-scale spectrum
measurement study, IEEE Trans. Mob. Comput. 11 (2012) 1033–1046.
[10] X. Ying, J. Zhang, L. Yan, G. Zhang, M. Chen, R. Chandra, Exploring indoor white spaces in
metropolises, in: Proceedings of the 19th Annual International Conference on Mobile Com-
puting & Networking, ACM, 2013, pp. 255–266.
[11] Q. Zhang, J. Jia, J. Zhang, Cooperative relay to improve diversity in cognitive radio networks,
IEEE Commun. Mag. 47 (2009) 111–117.
[12] E.Z. Tragos, S. Zeadally, A.G. Fragkiadakis, V.A. Siris, Spectrum assignment in cognitive radio
networks: a comprehensive survey, IEEE Commun. Surv. Tutorials 15 (2013) 1108–1135.
[13] J. Mitola, G.Q. Maguire, Cognitive radio: making software radios more personal. IEEE Pers.
Commun. 6 (1999) 13–18, https://doi.org/10.1109/98.788210.
[14] F.C. Commission, Notice of Proposed Rule Making and Order: Facilitating Opportunities for
Flexible, Efficient, and Reliable Spectrum Use Employing Cognitive Radio Technologies, ET
Docket, 2005, p. 73.
[15] J. Ren, N. Zhang, X. Shen, Introduction. in: Energy-Efficient Spectrum Management for Cog-
nitive Radio Sensor Networks, Springer International Publishing, Cham, 2018, pp. 1–13,
https://doi.org/10.1007/978-3-319-60318-6_1.
[16] E. Hossain, K.G.M. Thilina, Cognitive radio networks and spectrum sharing. in: Academic
Press Library in Mobile and Wireless Communications, Elsevier, 2016, pp. 467–522,
https://doi.org/10.1016/B978-0-12-398281-0.00013-2.
[17] X. Hong, C. x Wang, H. h Chen, Y. Zhang, Secondary spectrum access networks. IEEE Veh.
Technol. Mag. 4 (2009) 36–43, https://doi.org/10.1109/MVT.2009.932543.
[18] I.F. Akyildiz, W.-Y. Lee, K.R. Chowdhury, CRAHNs: cognitive radio ad hoc networks, Ad
Hoc Netw. 7 (2009) 810–836.
[19] Q. Zhao, L. Tong, A. Swami, Y. Chen, Decentralized cognitive MAC for opportunistic spec-
trum access in ad hoc networks: a POMDP framework. IEEE J. Sel. Areas Commun. 25 (2007)
589–600, https://doi.org/10.1109/JSAC.2007.070409.
[20] P. Ren, Y. Wang, Q. Du, CAD-MAC: a channel-aggregation diversity based MAC protocol for
spectrum and energy efficient cognitive Ad Hoc networks. IEEE J. Sel. Areas Commun.
32 (2014) 237–250, https://doi.org/10.1109/JSAC.2014.141205.
[21] U.F.C. Commission, others, Spectrum Policy Task Force Report, ET Docket No. 02–135, Nov.
(2002).
[22] G. Tomar, A. Bagwari, J. Kanti, Introduction to Cognitive Radio Networks and Applications,
Taylor & Francis, a CRC Title, Part of the Taylor & Francis Imprint, a Member of the Taylor &
Francis Group. The Academic Division of T&F Informa, plc, Boca Raton, FL, 2017.