[1] [1] Falahati S, Svensson A, Sternady M, et al. Adaptive modulation systems for predicted wireless channels[J]. IEEE Trans Commun, 2004, 52(2):307-316.

[2] [2] Goldsmith A J, Chua S G. Variable-rate variable-power MQAM for fading channels[J]. IEEE Trans Commun, 1997, 45(10):1218-1230.

[3] [3] Chung S T, Goldsmith A J. Degrees of freedom in adaptive modulation: A unified view[J]. IEEE Trans Commun, 2001, 49(9): 1561-1571.

[4] [4] Li Tao, Rong Jian, Zhong Xiaochun. OFDM-ROF system simulation based on OptiSystem[J]. Infrared and Laser Engineering, 2011, 40(6): 1154-1159. (in Chinese)

[5] [5] Oien G E, Holm H, Hole K J. Impact of channel prediction on adaptive coded modulation performance in Rayleigh fading[J]. IEEE Trans Veh Technol, 2004, 53(3): 758-769.

[6] [6] Hoeher P. A statistical discrete-time model for the WSSUS multipath channel[J]. IEEE Transactions on Vehicle Technology, 1992, 41(11): 461-468.

[7] [7] Chen Dan, Ke Xizheng, Li Tie. FSO MIMO system in layered detection algorithm of space-time code[J]. Infrared and Laser Engineering, 2012, 41(6): 1550-1555. (in Chinese)

[8] [8] Ma Tianming, Shi Yusong, Wang Yingguan. A low complexity MMSE for OFDM systems over frequency-selective fading channels[J]. IEEE Communication Letters, 2012, 16(3): 304-306.

[9] [9] Ong L T, Lambotharan S, Chambers J A, et al. Performance of Bayesian estimation based variable rate variable power MQAM system[C]//The 17th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications(PIMC′06), 2006.