参考文献/References:
[1] Paul A, Daniel A, Ahmad A, et al. Cooperative cognitive intelligence for internet of vehicles[J].IEEE Systems Journal, 2017, 11(3): 1249-1258. DOI:10.1109/jsyst.2015.2411856.
[2] Chen C Y, Huang C S, Chen J Y. ACRA: Adaptive clustering resource allocation for vehicle to vehicle communications[C]//Tenth International Conference on Mobile Computing & Ubiquitous Network(ICMU). Toyama, Japan, 2018:1-5. DOI: 10.23919/ICMU.2017.8330101.
[3] Shao H, Jing W P, Wen X M, et al. Joint optimization of quality of experience and power consumption in OFDMA multicell networks[J]. IEEE Communications Letters, 2016, 20(2): 380-383. DOI:10.1109/lcomm.2015.2508924.
[4] Zeng F Z, Liu C, Xu J S. Fairness-aware resource allocation in OFDM-based cognitive radio networks for energy efficiency[C]//2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery(ICNC-FSKD). Changsha, China, 2016: 642-646. DOI:10.1109/FSKD.2016.7603249.
[5] Wang S W, Huang F J, Wang C G. Adaptive proportional fairness resource allocation for OFDM-based cognitive radio networks[J].Wireless Networks, 2013, 19(3): 273-284. DOI:10.1007/s11276-012-0465-9.
[6] Zhao Q, Sadler B M. A survey of dynamic spectrum access[J].IEEE Signal Processing Magazine, 2007, 24(3): 79-89. DOI:10.1109/msp.2007.361604.
[7] Weiss T, Hillenbrand J,Krohn A, et al. Mutual interference in OFDM-based spectrum pooling systems[C]//2004 IEEE 59th Vehicular Technology Conference. Milan, Italy, 2004: 1873-1877. DOI:10.1109/VETECS.2004.1390598.
[8] Chua S G, Goldsmith A. Variable-rate variable-power MQAM for fading channels[C]//Proceedings of Vehicular Technology Conference.Atlanta, GA, USA, 1996: 815-819. DOI:10.1109/VETEC.1996.501424.
[9] Soltani N Y, Kim S J, Giannakis G B. Chance-constrained optimization of OFDMA cognitive radio uplinks[J]. IEEE Transactions on Wireless Communications, 2013, 12(3): 1098-1107. DOI:10.1109/twc.2013.011713.120155.
[10] Shen Z K, Andrews J G, Evans B L. Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints[J]. IEEE Transactions on Wireless Communications, 2005, 4(6): 2726-2737. DOI:10.1109/twc.2005.858010.
[11] Wang S W, Shi W J, Wang C G. Energy-efficient resource management in OFDM-based cognitive radio networks under channel uncertainty[J].IEEE Transactions on Communications, 2015, 63(9): 3092-3102. DOI:10.1109/tcomm.2015.2452251.
[12] Nocedal J. Updating quasi-newton matrices with limited storage[J]. Mathematics of Computation, 1980, 35(151): 773. DOI:10.2307/2006193.
[13] Shi W J, Wang S W. Energy-efficient resource allocation in cognitive radio systems[C]//2013 IEEE Wireless Communications and Networking Conference(WCNC). Shanghai, China, 2013: 4618-4623. DOI:10.1109/WCNC.2013.6555323.
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