Research On Resource Scheduling Method Of Communication And Navigation Fusion For Emergency Scenarios

In the process of emergency rescue for major natural disasters,the challenges faced by forest fire prevention are particularly prominent.On the one hand,owing to the short time windows and complex rescue process,fire fighting in high mountain forest areas is fraught with difficulties.On the other hand,the forest area has lush trees and vegetation,severe signal shading,and severe damage to communication facilities.Rescue workers often face challenges such as complex environments,lack of public networks,and satellite denial,which result in poor communication and inaccurate positioning.In order for the command center to timely grasp information about sudden disasters and accurately deploy rescue forces,it is necessary to improve the deployment performance of network organizations and achieve improvement in global communication and positioning performance for emergency rescue sites.The purpose of this paper is to study the integrated communication and navigation requirements and resource adaptation technology in forest fire rescue scene.Firstly,in response to the problems of limited communication and navigation resources,and complex communication and navigation requirements in emergency scenarios in mountainous forest areas,an integrated downlink resource allocation system for communication and navigation is constructed.Based on F-OFDM,UAVs are defined as communication base stations or anchor nodes in the positioning process to meet the communication and positioning needs of rescue personnel.At the same time,considering the theoretical capacity limit of the communication link and the squared position error bound of the location,a utility evaluation function for communication and navigation balance is constructed.Then,a hierarchical bandwidth and power joint resource allocation method is designed,which uses a weighted optimal matching method to initialize the connection between UAVs and users,and uses artificial bee colony optimization and resource block partitioning algorithms to determine the allocation of power and bandwidth.Finally,the optimal allocation scheme for each node is output to achieve optimal resource scheduling for communication and navigation requirements.Simulation results show that the proposed scheme can reduce system overhead,fully exploit the communication and positioning capabilities of the emergency command network,and improve resource utilization.Secondly,considering the complex channel environment,rapid changes in communication and navigation requirements,and difficulty in measuring service quality during the emergency rescue process,it is urgent to establish a qualified and accurate adaptive communication resource dynamic allocation mechanism for emergency rescue.This study first analyzes the diverse user needs of emergency rescue sites,and establishes an emergency communication and navigation effectiveness evaluation model using the fuzzy analytic hierarchy process.It explicitly considers key evaluation indicators,such as communication rate,positioning error and signal-to-noise ratio.Next,a deep deterministic policy gradient algorithm is introduced to solve the problem of communication and positioning for multiple UAVs.The state space of UAVs includes the position of UAVs,the position of users,power capacity,and bandwidth capacity.Using the communication and navigation efficiency evaluation framework as the reward model,the power allocation and bandwidth allocation strategies of UAVs are dynamically determined.The experimental results show that the designed model can adjust the resource allocation strategy according to the actual situation,making the system more efficient in utilizing communication and navigation resources in realtime changing environments,and improving the overall efficiency of the system.To sum up,in the face of problems such as unstable communication,poor positioning effect,low communication efficiency and slow command response in disaster rescue emergency command,this paper focuses on the need for reliable emergency command and takes improving the communication and navigation efficiency of command as the core.It jointly considers communication resources and navigation resources,and studies the intelligent allocation of communication and navigation resources integration in low dynamic environment and the adaptive allocation of communication and navigation resources in high dynamic environment.This research effectively improves the communication and positioning performance of the rescue system,and improves the rescue efficiency and the safety factor of the fire site,which is expected to play an important role in practical applications and provides strong technical support for the emergency rescue field.