生物友好的认知水声网络频谱分配

doi:10.13229/j.cnki.jdxbgxb201704044

摘要/Abstract

摘要：

为充分利用海洋哺乳动物和水声传感器网络(UASNs)共享的稀缺频谱资源,提出了一种生物友好的认知水声网络频谱分配(MMF-CASA)方法。将海洋哺乳动物作为主用户,传感器节点作为次级用户,设计了生物友好的认知水声网络通信机制。以次级用户系统容量最大化为目标建立效用函数,通过拉格朗日乘数法和功率控制与信道分配技术求解次级用户的发送功率与信道分配,设计了生物友好的水声网络频谱分配机制和算法。实现了主用户和次级用户信道共享,最大化了水下稀缺的频谱资源的利用率。仿真结果表明,采用生物友好的认知水声网络频谱分配方法能够避免传感器节点通信对海洋哺乳动物间通信的干扰,使网络的频带利用率和系统容量分别提高了37.4%和34.2%。

关键词: 通信技术, 认知水声网络, 频谱分配, 生物友好, 功率控制

Abstract:

To make full use of the scare spectrum resources shared by marine mammals and underwater acoustic sensor networks,a new marine mammal-friendly spectrum allocation algorithm in cognitive acoustic networks is proposed. First,the marine mammals are considered as the primary user and the sensor node is used as the secondary user.Then,the communication mechanism of the mammal-friendly cognitive acoustic networks is proposed.The utility function is established with the goal of maximizing the system capacity of the secondary user.Third, the secondary user's transmission power and channel allocation are solved by the Lagrange multiplier method combined with power control and channel allocation technique. Finally,the marine mammal-friendly cognitive acoustic network spectrum allocation mechanism and algorithm are designed,which can achieve the channel sharing of the primary user and the secondary user,as well as maximizing the spectrum efficiency.Simulation results show that the marine mammal-friendly cognitive acoustic spectrum allocation algorithm not only can avoid interference between the sensor nodes and the marine mammals, but also the bandwidth efficiency and system capacity are improved by 37.4% and 34.3% respectively.

Key words: communication technology, cognitive underwater acoustic networks, spectrum allocation, marine mammal-friendly, power control

中图分类号:

TN929.5

金志刚, 王健, 苏毅珊. 生物友好的认知水声网络频谱分配[J]. 吉林大学学报(工学版), 2017, 47(4): 1321-1328.

JIN Zhi-gang, WANG Jian, SU Yi-shan. Marine mammal-friendly spectrum allocation algorithm for cognitive underwater acoustic network[J]. 吉林大学学报(工学版), 2017, 47(4): 1321-1328.

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