Font Size: a A A

Research On Power Control Of Underwater Acoustic MC-CDMA Communication Networks Using The Improved PSO Algorithm

Posted on:2018-04-29Degree:MasterType:Thesis
Country:ChinaCandidate:D Q NieFull Text:PDF
GTID:2348330536978117Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the development and utilization of the ocean,underwater communication has a huge expansion capacity,and has become a hot research after it been proposed.Underwater acoustic communication has a different with other wireless communication in the channel which is also the main factor restricting the development of underwater acoustic communication.Compared with terrestrial wireless communication channel,the underwater acoustic channel has many characteristics such as serious multipath effect,large Doppler frequency shift and narrow bandwidth.Many existing technologies can not be directly applied in underwater acoustic communication for the characteristics of underwater acoustic channel.So we should research more technology to improve the performance of underwater acoustic communication system.The underwater acoustic network based on underwater acoustic communication is an important development direction of underwater acoustic communication,which extends the communication from point-to-point communication to the network level.In the underwater communication network,we not only need to consider the point-to-point communication quality problems,but also need to consider the entire network energy efficiency problems,transmission rate problems.In this paper,according to the channel characteristics of underwater acoustic network,the multi-carrier code division multiple access(MC-CDMA)technology suitable for underwater acoustic network is selected as the multiple access technology.And the power control technology in underwater acoustic MC-CDMA network is studied to optimize the transmission rate and power consumption.The main research of this paper is as follows:1)According to the characteristics of underwater acoustic channel,MC-CDMA is selected as the multi-access technology of underwater acoustic network.Because it includes not only the advantages of orthogonal frequency division multiplexing technology,such as anti-multipath interference and high spectrum utilization,but also contains advantages of the code division multiple access technology,such as small power consumption,strong anti-interference ability and multiple access.Because of its own problems such as proximity effects and multiple access interference,power control is used to improve its performance andmake it more suitable for underwater acoustic networks.2)This paper proposes a chaotic genetic particle swarm algorithm based on the existing particle swarm algorithm.The algorithm not only has the characteristics of fast convergence of particle swarm,but also improves the diversity of the population by genetic mutation operation and chaotic traversal characteristics.The algorithm proposed in this paper shows that compared with the genetic algorithm,chaos particle swarm algorithm and genetic particle swarm algorithm the algorithm improves in stability,convergence rate and convergence accuracy.3)This paper presents a power control model for MC-CDMA system of underwater acoustic network.Under the premise of ensuring the communication quality of each node,the model will focus on the total transmission rate of the system and the optimization of the total transmit power.The mathematical model is proposed based the model to optimize the total transmission rate and the total transmit power at the same time.4)The mathematical model uses improved particle swarm optimization algorithm to achieve,and establishing a communication simulation system to test the effectiveness of the algorithm.The experimental results show that the power control strategy based on the chaos genetic particle swarm algorithm has a good effect on the balance between the total transmission rate and the total transmit power.
Keywords/Search Tags:MC-CDMA, power control, particle swarm algorithm, multi-objective optimization
PDF Full Text Request
Related items