摘 要
随着5G及未来6G通信技术的发展，毫米波通信因其丰富的频谱资源和高带宽特性成为实现高速数据传输的关键技术之一然而传统微波通信在带宽和速率上已难以满足日益增长的数据需求为此本文旨在设计一种基于毫米波通信的高速数据传输系统该研究通过分析毫米波信道传播特性和信号衰减规律提出了一种结合波束成形与自适应调制的优化方案同时引入先进的数字预失真技术以补偿非线性效应并提升系统性能仿真结果表明所设计的系统在28GHz频段下可实现高达10Gbps的数据传输速率且误码率显著降低此外系统具备较强的抗干扰能力与环境适应性本研究的创新点在于将智能算法融入毫米波通信架构中实现了资源的高效利用为未来高速无线通信系统的实际部署提供了重要参考
关键词：毫米波通信；高速数据传输；波束成形
Abstract
With the development of 5G and future 6G communication technologies, millimeter-wave (mmWave) communication has become one of the key technologies for achieving high-speed data transmission due to its abundant spectrum resources and high bandwidth characteristics. However, traditional microwave communication struggles to meet the ever-increasing demand for data rates in terms of bandwidth and speed. To address this challenge, this study aims to design a high-speed data transmission system based on mmWave communication. By analyzing the propagation characteristics of mmWave channels and the attenuation patterns of signals, an optimized solution combining beamforming with adaptive modulation is proposed. Furthermore, advanced digital predistortion techniques are introduced to compensate for nonlinear effects and enhance system performance. Simulation results demonstrate that the designed system can achieve a data transmission rate of up to 10 Gbps at the 28 GHz frequency band while significantly reducing the bit error rate. Additionally, the system exhibits strong interference resistance and environmental adaptability. The innovation of this research lies in integrating intelligent algorithms into the mmWave communication architecture, thereby achieving efficient resource utilization and providing significant reference for the practical deployment of future high-speed wireless communication systems.
Keywords: Millimeter-Wave Communication；High-Speed Data Transmission；Beamforming
目 录
引言 1
一、毫米波通信技术概述 1
（一）毫米波频谱特性分析 1
（二）毫米波通信关键技术 2
（三）毫米波系统应用场景 2
二、高速数据传输需求分析 2
（一）数据传输速率要求 3
（二）系统带宽分配策略 3
（三）信道环境影响因素 3
三、系统架构设计与优化 4
（一）系统整体架构设计 4
（二）关键模块功能实现 4
（三）性能优化方法研究 5
四、实验验证与性能评估 5
（一）实验平台搭建方案 5
（二）测试结果数据分析 6
（三）系统性能改进措施 6
结 论 6
致 谢 8
参考文献 9
