# Joint Optimization of Relay Communication Rates in Clustered Drones under Interference Conditions
## 5 Joint Optimization Scheme for Communication Rate
### Optimization of Power Allocation Factor for Cluster Drones
The graph shows that individually optimizing each variable can effectively enhance the objective of increasing the total communication rate. Compared to the unoptimized initial values, the degrees of improvement are substantial, with the respective increases reaching, \(8.0654\times 10^{10}\) bps, \(3.7722\times 10^{10}\) bps, \(3.2535\times 10^{10}\) bps, and \(1.1919\times 10^{11}\) bps. Figure 4:7 Changes in the three-dimensional trajectory of the relay drone. Figure 4:8 Impact of variables across different dimensions on the optimization of total communication rate. Based on the results of the two sets of simulation experiments, the joint optimization method for cluster drone relay communication rates under interference conditions proposed in this paper demonstrates good performance. It effectively avoids external interference while significantly enhancing the total communication rate of the cluster drones. ## 7 Conclusions

To address the optimization problem of cluster drone relay communication rates under interference conditions, this paper introduced a dual-step algorithmic architecture. By integrating a Bayesian optimization-based Discrete Soft Actor-Critic (BO_DSAC) algorithm, the relay drones were trained for efficient and precise channel selection, effectively mitigating the impact of malicious interference on the communication link. The performance of the algorithm was further enhanced through the optimization of the hyperparameters. Subsequently, joint optimization of the relay drone's modulation order, transmission power, trajectory, and the cluster drone's power allocation factor was performed. Complex problems were decomposed into subproblems and transformed into convex problems for solving, thus reducing the complexity of the algorithm and effectively increasing the overall communication rate of the cluster drones. The experimental results demonstrate that the proposed algorithm excels in terms of convergence speed, task effectiveness, and solution stability. Compared to other solutions, the proposed algorithm improved the total reward value by 3.3947 times in anti-interference and increased the total communication rate by \(1.2932\times 10^{11}\) bps in the joint optimization scheme. Therefore, the proposed algorithm can flexibly handle constant frequency, sweep frequency, and hybrid frequency interference while effectively enhancing the information backhaul efficiency of cluster drones, increasing task throughput, reducing information backhaul latency, and improving task performance. Future research will explore the impact of highly dynamic channel state information on channel selection algorithms to enhance the stability and efficiency of algorithms in broader applications. Considering the potential impact of efficient energy use for drones, further studies will also focus on the organic integration of wireless energy harvesting technologies with drone communication to address the energy limitations of drones. Additionally, this study primarily concentrated on optimization strategies for relay communication in drone clusters under interference. Future research can be extended to investigate information backhaul methods for ultra-large-scale drone clusters in complex electromagnetic environments. This will reveal more details about drone cluster communication and yield more valuable conclusions. Conceptualization, G.C. ; Methodology, X.G. ; Validation, X.G. ; Formal analysis, G.W. ; Investigation, G.W. ; Data curation, X.G. ; Writing--original draft, X.G. ; Visualization, C.W. ; Project administration, G.C. ; Funding acquisition, G.C. All authors have read and agreed to the published version of the manuscript. This study was supported by the National Natural Science Foundation of China (61540022). The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.