Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 387-391.doi: 10.11896/jsjkx.201100064

• Network & Communication • Previous Articles     Next Articles

Low-complexity Subcarrier Allocation Algorithm for Underwater OFDM Acoustic CommunicationSystems

YOU Ling1, GUAN Zhang-jun2   

  1. 1 Department of Computer Science,Shanghai Maritime University,Shanghai 201306,China
    2 Department of Electronic Engineering,Shanghai Maritime University,Shanghai 201306,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:YOU Ling,born in 2000,postgraduate.Her main research interests include wireless communication system and image processing.
    GUAN Zhang-jun,born in 1981,Ph.D,lecturer.His main research interests include underwater acoustic communication system and radar signal proces-sing.
  • Supported by:
    Young Scientists Fund of the National Natural Science Foundation of China (61601283).

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Abstract: In recent years,underwater acoustic communication technology based on OFDM modulation has been developed rapidly,with the advancement of the national strategy of Smart Ocean,as well as the demand of marine resource development.One of the key issues is the allocation of subcarrier in order to optimize the system performance.In this paper,a subcarrier allocation algorithm with low complexity for underwater OFDM acoustic communication system is proposed,candidate nodes are selected according to a certain criterion in each round,node with the worst comprehensive channel state is the final objective.The algorithm can improve the overall transmission performance of the system,and the transmission performance of the worst sensor node is considered as well.Besides,in case a certain node cannot get any subcarrier resource in multi-round allocations,the idle node in the last round is assigned the subcarrier with the best channel condition in front of other nodes.Simulation results show that the improvement of the algorithm can solve the problemon the premise of hardly reducing the performance of the original algorithm.The proposed algorithm has certain reference significance for the resource allocation of underwater multi-sensor network.

Key words: Channel state information, Computational complexity, Orthogonal frequency division multiplexing, Subcarrier allocation, Underwater acoustic communication

CLC Number: 

  • TN929.3
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