Research On Joint Resource Allocation Algorithm For Simultaneous Wireless Information And Power Transfer In D2D Network

As one of the key technologies of 5G,device to device(D2D)communication has the features of improving spectrum efficiency,reducing latency and improving network coverage and capacity,which can effectively alleviate some of the technical challenges currently hindering wireless communication.Simultaneous wireless information and power transfer(SWIPT)technology enables the simultaneous transfer of data and energy.It is an emerging method of wireless charging that frees communication devices from limited power and extends the life of devices and networks.D2 D communication technology based on SWIPT combines the advantages of both D2 D and SWIPT technologies to help realize the 5G network architecture and the 6G vision.SWIPT and D2 D cooperative networks with complex environments and severe interference require effective resource allocation algorithms to allocate resources and suppress interference.Therefore,the thesis focuses on the design of a joint resource allocation algorithm for the scenario where the underlying D2 D network is a cellular network based on SWIPT.In this thesis,we first study the resource fairness allocation problem of energy harvesting-based D2 D single-hop networks,and propose a joint time,power,and spectrum allocation fair allocation algorithm to maximize the minimum amount of transmitted data in the system.The time and power allocations are obtained by successive convex approximation algorithms in an iterative manner to approximate the optimal solution,and the spectrum allocation is based on the binary search method and the Hungarian algorithm to design the minimum maximization algorithm to obtain the optimal fair allocation.However,the scenario of using relay-assisted D2 D communication when the D2 D direct connection is unable to communicate is considered.This thesis also investigates the resource allocation problem of relay-assisted D2 D communication based on energy harvesting,and proposes a joint relay selection and power allocation resource allocation algorithm to maximize the throughput.In which the power allocation is obtained as a closed-form solution after weighing the two-hop rate.However,in order to measure multiple factors affecting relay selection,this thesis establishes physical-aware,social-aware,and energy-aware models,respectively,and builds a three-dimensional awareness model to weigh relays.The relay selection is performed by using the established three-dimensional awareness model to filter the set of relay candidates and select the relay that maximizes the rate from them.In order to verify the effectiveness of the joint optimization algorithm proposed in this thesis,numerical simulations are conducted separately.The simulation results show that the proposed minimum transmission data throughput maximization allocation algorithm in the energy harvesting based D2 D direct link system scenario not only improves the minimum user’s data throughput to ensure fairness among users,but also achieves better overall system performance.The proposed throughput maximization allocation algorithm in the energy harvesting based relay-assisted D2 D communication scenario can effectively improve the throughput of the D2 D direct link and establish a more stable D2 D link compared to other algorithms.