Outage Performance Analysis And Resource Allocation Of WIPT Underwater Acoustic Communication System

The ocean contains abundant marine resources such as minerals,natural gas,and oil.The research on underwater communication technology is of great significance to the vigorous development and utilization of marine resources and the enhancement of marine military defense forces.As one of the important methods of underwater wireless communication,underwater acoustic communication faces the problems of prolonged communication time,strong multipath effect,serious signal attenuation,limited energy of underwater network node equipment,and difficulty in energy supply due to the complexity of the underwater environment.Among them,the problem of energy limitation of underwater acoustic communication nodes seriously affects the lifespan of communication nodes and the network.Therefore,research and development of wireless energy transmission and resource management technologies suitable for hydroacoustic communication networks to provide convenient and efficient wireless energy supply and energy-saving solutions for hydroacoustic nodes has become an urgent need for the development of hydroacoustic communication networks.Wireless information and power transfer(WIPT)technology is considered to be one of the most attractive solutions to the energy-constrained problem of wireless networks.The main goal of this paper is to solve the energy limitation of hydroacoustic wireless network,and study the outage performance analysis and resource allocation method of WIPT hydroacoustic communication system.This paper launches the following research:1)For a WIPT cooperative DF(decode and forword)communication system with a nonlinear energy harvesting model and a hybrid receiver,the outage performance is studied,and accurate expressions and novel closed-form approximate expressions of the system outage probability and throughput are derived.The influence of the parameters of hybrid receiver and the location of the relay node on the system performance is analyzed.Furthermore,the outage performance of the WIPT cooperative DF underwater acoustic communication system is analyzed,and the purpose is to introduce WIPT into the underwater acoustic communication system to solve the problem of limited energy of relay nodes in the underwater acoustic network.By building an underwater acoustic communication system model and combining the characteristics of the underwater acoustic channel,the outage probability and average throughput expressions of the WIPT cooperative DF underwater acoustic communication system are derived.Finally,the Monte Carlo method is used to verify the correctness of the deduced outage performance expression.On this basis,the influence of various system parameters on the outage performance of the WIPT cooperative DF underwater acoustic communication system is analyzed.2)A resource allocation method is proposed for the WIPT underwater acoustic communication system with underwater wireless energy harvesting capabilities,which specifically solves two optimization problems: One is the resource allocation of the WIPT underwater acoustic communication system based on the maximization of collected energy,and the goal of maximizing the energy collection of the system is achieved under the premise of meeting the threshold of the signal-to-noise ratio.The second is the resource allocation of the WIPT underwater acoustic communication system based on the minimization of the transmission power,and the goal of minimizing the transmission power of the system is achieved under the premise of meeting the minimum energy collection and the threshold of the signal-to-noise ratio.Both problems are combined optimization of the optimal beamforming and node power allocation factors of the underwater acoustic communication system,using non-convex optimization related theories and introducing slack variables to transform the problem into a more tractable problem model.Aiming at the transformed optimization problem,a joint optimization effective algorithm that combines convex optimization methods to solve the problem is proposed.Finally,simulation analysis and comparison with other benchmark schemes illustrate the feasibility and effectiveness of the proposed resource allocation method.