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In conclusion, in this work, we propose to plan a path for cellular-connected UAV by solving a Travel Salesman Problem and we propose to use a Heuristic algorithm and Reinforcement Learning to solve the problem. Then the experimental results indicated that Reinforcement Learning Method is faster than Genetic Algorithm and Simulated Annealing Algorithm. However, the simulated Annealing Algorithm is the most accurate method in all cases. We think that there are still lots of room for Reinforcement Learning to improve in the future. If the scenario requires time complexity, Reinforcement Learning is more fittable. And if accuracy is required, the Simulated Annealing Algorithm is more fittable. |
IEEE/ICACT20230128 Slide.16
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