Based on the modeling of transmission rate maximization problem for Orthogonal Frequency Division Multiplexing (OFDM) underwater acoustic communication, the computing amount for water-filling algorithm is reduced reasonably, which realizes rapid assignments for sub-carriers’ initial energy. To deal with the serious waste of symbol energy existing in the bit assigning algorithm based on fixed threshold, the new greedy algorithm is brought forward, which improves the OFDM transmission rate remarkably with less cost of additional calculation. Results show that the new algorithm behaves favorable properties of transmission rate and Bit Error Rate (BER) even with incomplete channel estimation information suitable for time-variant underwater acoustic channel.
罗亚松,许江湖,胡洪宁, 贺静波,陈占伟. 正交频分复用传输速率最大化自适应水声通信算法研究[J]. 电子与信息学报, 2015, 37(12): 2872-2876.
Luo Ya-song, Xu Jiang-hu, Hu Hong-ning, He Jing-bo, Chen Zhan-wei. Research on Self-adjusting OFDM Underwater Acoustic Communication Algorithm for Transmission Rate Maximization. JEIT, 2015, 37(12): 2872-2876.
Kumar M and Tiwari S. Performance evaluation of conventional and wavelet based OFDM system[J]. Journal of Electronics and Communication, 2013, 67(4): 348-354.
[2]
Abdallaa A, Ferreiraa R, and Shahparia A. Improved nonlinear tolerance in ultra-dense WDM OFDM system[J]. Optics Communications, 2014, 325(1): 88-93.
Zhao Yue, Fang Xu-ming, and Huang Bo. Resource allocation scheme based on load balancing for OFDMA two-hop relay networks [J]. Journal of Southwest Jiaotong University, 2013, 48(1): 94-100.
[4]
Huang Xiao-peng and Lawrence V B. Capacity criterion- based bit and power loading for shallow water acoustic OFDM system with limited feedback[C]. 2011 IEEE 73rd Vehicular Technology Conference, Budapest, 2011: 372-377.
[5]
Xu X K, Wang Z H, Zhou S L, et al.. Parameterizing both path amplitude and delay variations of underwater acoustic channels for block decoding of orthogonal frequency division multiplexing[J]. Acoustical Society of America, 2012, 131(6) : 4672-4679.
Luo Ya-song, Hu Hong-ning, Liu Zhong, et al.. Self-adjusting underwater acoustic channel estimation algorithm based on OFDM signals[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(5): 678-684.
[7]
Hai H N, Soh W S, and Motani M. A Bidirectional-Concur- rent MAC protocol with packet bursting for underwater acoustic networks[J]. IEEE Journal of Oceanic Engineering, 2013, 38(3): 547-565.
[8]
Liao W H and Huang C C. SF-MAC: a spatially fair MAC protocol for underwater acoustic sensor networks[J]. IEEE Sensors Journal, 2012, 12(6): 1686-1694.
[9]
Lei Yang and Long Zhou. Adaptive bit loading algorithm for OFDM underwater acoustic communication system[C]. 2011 International Conference on Electronics and Optoelectronics (CEOE 2011), Dalian, China, 2011: 350-352.
Wang Wei, Qiao Gang, Wang Yue, et al.. Decision feedback estimation of multiple input/multiple output orthogonal frequency division multiplexing channel based on punching technique via UWA shallow sea[J]. Acta Armamentarii, 2013, 34(9): 1116-1124.
[11]
Xiao Dong, Mo Fu-yuan, and Chen Geng. Study of low bit rate speech codec algorithm in underwater acoustic communication[J]. Chinese Journal of Acoustics, 2013, 32(4): 411-423.
Luo Ya-song, Xu Jiang-hu, Liu Zhong, et al.. Self-adjusting underwater acoustic channel estimation and communication algorithms based on decision feedback equalizer[J]. Journal of Shanghai Jiaotong University, 2014, 48(5): 685-692.
Zhang Xu, Cheng Chen, and Liu Yan. Acoustic propagation effect caused by subtropical mode water of northwestern pacific[J]. Acta Oceanologica Sinica, 2014, 36(9): 94-101.
[14]
Huang Xiao-peng. Capacity criterion-based power loading for underwater acoustic OFDM system with limited feedback [C]. Wireless Communications, Networking and Information Security, Beijing, 2010: 54-58.
Xie Juan-ying and Wang Yan-e. K-means algorithm based on minimum deviation initialized clustering centers[J]. Computer Engineering, 2014, 40(8): 205-211.