Resource Allocation And Optimization In Simultaneous Wireless Information And Power Transfer

Nowadays,wireless sensor networks have received more and more attention and research all over the world.They have been widely used in military defense,environmental monitoring,industrial manufacturing,smart home,intelligent transportation,graphic image processing and other research fields.Wireless sensor network is also a highly interdisciplinary and highly comprehensive discipline,which includes almost all research fields involved in computer science and technology,such as sensor technology,embedded computer technology,wireless communication technology,artificial intelligence technology,and distribution information processing technology,etc.Wireless sensor network is a frontier research area that has received widespread attention internationally and is considered to be one of the technologies that will have a huge impact on the 21 st century.However,the energy of a node in a wireless sensor network is mainly derived from the battery in the node.Once the battery is exhausted,the node will not be able to work and may even affect the performance of the entire network.Therefore,letting the sensor nodes autonomously harvest the energy in the environment has become one of the effective solutions to solve the energy dilemma in traditional wireless sensor networks.However,traditional energy harvesting methods such as solar energy,wind energy,thermal energy,and biological energy,etc.It is difficult to implement on the nodes,and they are difficult to stably supply energy to the sensor nodes for a long time.Therefore,the radio frequency energy capture network(RF-EHN)has become a research hotspot of energy capture for low-power applications.One of the more popular and cutting-edge research directions in RF-EHN is Simultaneous Wireless Information and Power Transfer(SWIPT).The main work and results of this article are as follows:1.In view of the current scarcity of spectrum resources in wireless networks,this paper proposes a strategy for minimizing uplink and downlink transmission time in Simultaneous Wireless Information and Power Transfer network.By designing an new Simultaneous Wireless Information and Power Transfer network,the total transmission time is minimized under the constraint that both the uplink and downlink transmission data meet certain quality of service requirements.Through modeling and solving,we found that the problem is non-convex,and the expression of user node transmission time in the uplink is difficult to display,and the complexity of searching through brute force is high.Therefore,we propose a low-complexity golden section search algorithm,further simplify the method to reduce the traversal range,and find the minimum sum-time.Finally,the effectiveness of this scheme is verified by numerical simulation.2.Aiming at the problem that the communication between the source node and the destination node in the wireless network may not require a direct communication link due to obstacles or distances,etc.This paper proposes a Simultaneous Wireless Information and Power Transfer network to maximize the sum-rate policy.This problem is solved by designing two phases.In the first phase,the source node sends signals with energy to multiple relay nodes by allocating different powers on different spectrums.For the received signals with energy the relay nodes use power spliting to take part of the signal is converted into energy,and the other signal is decoded into information;the second stage: the relay node forwards the information to the destination node through the energy captured in the first stage.The mathematical model is used to solve the optimal power spliting factor,and the Lagrange multiplier method is used to obtain the expression of the power allocated by the source node on each spectrum.Finally,the water injection algorithm is used to obtain the final allocated power and maximize the power.Total transmission rate.Finally,the validity of this paper is verified by numerical simulation.In this paper,the resource allocation and optimization in Simultaneous Wireless Information and Power Transfer network can effectively improve the resource utilization rate,and it was verified through corresponding experiments.