Frequency Planning for HF Diversity Communication Networks Based on Heuristic Algorithm
In order to ensure secure communication between users,HF diversity communication networks adopt multiple frequencies to improve the reliability of communication receiving.In the case of multi-user concurrent access,improved genetic algorithms can be used to plan the frequency of users,thus saving frequency resources under the condition of meeting the needs of given users,but this communication method still suffers from the problem that the planning process takes a long time.To address the problem,two typical heuristic algorithms such as simulated annealing and particle swarm optimization are used to plan the frequency resources of HF diversity communication network.Simulation results indicate that compared with the improved genetic algorithm,the optimization effect of simulated annealing algorithm and particle swarm optimization algorithm is almost unchanged,but the planning time is significantly shortened,which provides a basis for the practical application of HF diversity communication network.
HF diversity communication networkfrequency planningsimulated annealing algorithmparticle swarm optimization algorithm
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