Khan Rahim, Khan Zahid Ullah, Taj Sher, Khan Sajid Ullah, Khan Javed, Alturki Nazik, Alanazi Sultan
College of Information and Communication Engineering, Harbin Engineering University, Harbin150001, China.
Software College, Northeastern University, Shenyang, 110169, China.
Sci Rep. 2025 Aug 21;15(1):30796. doi: 10.1038/s41598-025-16743-6.
Recent progress in the domain of wireless communication systems has brought to light emerging trends that underscore the evolution of modern communication paradigms. Nonetheless, the performance of such systems remains constrained by persistent technical limitations, including packet loss, bandwidth scarcity, and suboptimal spectral efficiency, all of which necessitate rigorous analytical investigations. To address these constraints, the present study leverages an adaptive modulation technique tailored to enhance communication efficiency. This technique is systematically evaluated considering various parameters, including the signal-to-interference-plus-noise ratio (SINR), link distance, and the Standard Propagation Model (SPM), across canonical wireless channel environments, such as Additive White Gaussian Noise (AWGN), Rayleigh, and Rician fading models. The primary objective is to minimize the Bit Error Rate (BER), maximize system throughput, and ensure efficient utilization of available bandwidth by strategically optimizing the SPM parameters for long-range cellular communication links. Simulation outcomes substantiate that the proposed SPM-integrated framework achieves a target BER = 10 and exhibits enhanced spectral efficiency for 64-QAM modulation across a 6 km cell radius, thereby outperforming the conventional non-SPM approach. Notably, the proposed technique achieves SINR improvements of 40%, 43%, and 41% under AWGN, Rayleigh, and Rician conditions, respectively. To ensure optimal configuration, an advanced optimization algorithm is employed to dynamically select the most effective SPM parameters, enabling robust performance across varying channel conditions. Moreover, empirical analysis confirms that the SPM-enhanced system architecture facilitates the stable deployment of 64-QAM across all tested channel models, consistently yielding superior SINR and reduced BER relative to baseline techniques that lack SPM integration.
无线通信系统领域的最新进展揭示了一些新趋势，这些趋势突显出现代通信模式的演变。尽管如此，此类系统的性能仍受到持续存在的技术限制的制约，包括数据包丢失、带宽稀缺和频谱效率欠佳等问题，所有这些都需要进行严格的分析研究。为了解决这些限制，本研究采用了一种专门设计用于提高通信效率的自适应调制技术。该技术针对包括信号与干扰加噪声比（SINR）、链路距离和标准传播模型（SPM）在内的各种参数，在诸如加性高斯白噪声（AWGN）、瑞利和莱斯衰落模型等典型无线信道环境中进行了系统评估。主要目标是通过战略性地优化用于远程蜂窝通信链路的SPM参数，使误码率（BER）最小化、系统吞吐量最大化，并确保有效利用可用带宽。仿真结果证实，所提出的集成SPM的框架实现了目标BER = 10，并且在6公里小区半径内对于64-QAM调制展现出更高的频谱效率，从而优于传统的非SPM方法。值得注意的是，所提出的技术在AWGN、瑞利和莱斯条件下分别实现了40%、43%和41%的SINR提升。为确保最佳配置，采用了一种先进的优化算法来动态选择最有效的SPM参数，从而在不同信道条件下实现稳健性能。此外，实证分析证实，SPM增强的系统架构有助于在所有测试信道模型中稳定部署64-QAM，相对于缺乏SPM集成的基线技术，始终能产生更高的SINR并降低BER。
