COFDM系统中的自动增益控制

文章简要介绍了自动增益控制(Automatic Gain Control，AGC)的基本原理，通过仿真分析并结合实际工程应用，提出一种新的、适用于数字电视地面广播COFDM传输系统、利用了∑△调制技术的AGC控制模型；相应的FPGA硬件电路经实际现场测试，证明了该模型的可行性和有效性。     

面向联邦学习的6G大规模物联网资源跳跃多址方案

随着移动设备的广泛应用和大数据的快速增长,联邦学习作为一种在分散数据环境中进行机器学习的新兴范式,吸引了越来越多的关注。同时,5G/6G均将大规模物联网场景作为其核心场景之一,以通过实现大规模设备连接来完成未来海量分散数据的实时传输。因此,6G大规模物联网可以为联邦学习中海量终端的数据处理提供有力支撑。多址技术是6G大规模物联网实现海量连接的关键,现有研究提出了多种面向大规模物联网的新型多址方案,其中资源跳跃多址方案考虑信道资源的跳跃,通过给不同用户分配不同的资源跳跃图案从而实现海量用户接入。提出了资源跳跃多址与联邦学习的结合方案,将联邦学习客户端的通信信道划分为多个子信道,然后根据其数据特征和计算资源分配资源跳跃图案。结果表明,所提出的结合方案不仅能够提高联邦学习模型的训练速度,而且能够有效保护用户数据的隐私。     

功率放大器数字基带自适应预失真技术研究进展

阐述了目前国内外功率放大器（PA）线性化技术的研究状况,重点研究了其中最有应用前景的数字基带自适应预失真技术及其最新研究进展,分析并指出了相关方法的优缺点,并对其发展前景进行了展望。     

太赫兹电波传播及信道特性

首先,综述太赫兹电波相较于低频电波传播的不同特性,包括气象因素和材料粗糙表面对电磁波的影响。接着,提出利用射线跟踪技术仅通过有限的信道测量数据校准目标场景中的三维环境模型以及材料电磁参数;然后,利用从射线跟踪仿真反演出的参数在类似场景中进行大量仿真,代替信道测量生成大量真实有效的全维度信道数据;最后,提取并分析信道特性,例如路径损耗、阴影衰落、莱斯K因子、均方根时延扩展、角度扩展及多普勒参数。2个案例研究是从室内桌面通信到室外智能车联网场景,分别代表了6G移动通信从近到远用例的两端,对于室外场景还额外考虑了不同气象条件下对信道参数的影响,对太赫兹系统的设计和评估具有重大意义。     

中继网络信道分配与中继选择机制

It has been demonstrated that either Channel Allocation (CA) or Relay Selection (RS) can improve the performance in relaying networks separately. However, there is little work concerning their combination in multi-cell uplink scenarios. In this paper, we investigate the issue which considers the CA and RS to optimize the system transmission rate in an uplink scenario, while maintaining the re-source distribution fairness among users. This is first formulated as an optimization problem for a linear cellular system, where the same frequency channels can be reused in different cells. Based on the link and co-channel inter-ference conditions, two low-complexity CA and RS schemes are then proposed with dif-ferent decomposition sequences. Finally, nu-merical results are conducted to verify the effectiveness of the proposed CA and RS methods. Simulations results show that the proposed methods can yield significant im-provements in system performance in terms of average sum rate.     

BDB-T系统中频域同步的FPGA实现

通过对欧洲数字视频地面广播(DVB-T)COFDM传输系统的研究分析，提出一种新的宽带数字电视地面广播BDB-T同步部分的解决方案，设计出基于FPGA的频域同步硬件电路，经BDB-T功能样机在实际无线环境中的传输测试，证明了所给方案的易实现性及良好性能。     

数字电视中的频域频率同步技术

提出了一种宽带数字电视地面广播（BDB-T）系统的同步解决方案，重点研究了频域中的频率同步部分，通过对各种算法的仿真分析比较，给出易于实现、节省资源的频域频率同步算法并完成了相应的FPGA硬件电路设计，经BDB—T功能样机在实际无线环境中的传输测试，证明了算法及其电路的良好实际工作性能。     

认知无线电中基于加权硬判决的协作频谱感知算法

Weighted one bit hard combination for cooperative spectrum sensing is proposed in this paper. Two thresholds are adopted to divide the possible energy value into three weighted regions.If the energy value falls into the corresponding region, it will be judged as “1”, no information or “0”. When the probability of false alarm is constrained to be constant, the objective is to maximize the probability of detection. The optimization problem is simplified by separating the weight of the middle region into several intervals. Simulation results show that the sensing performance of the proposed scheme is much better than that of the traditional one bit hard combination scheme and almost the same as that of the equal gain combination (EGC) scheme. Moreover, compared with the traditional one bit hard combination, fewer average sensing bits are required to transmit to the data fusion center with the proposed method.     

基于多层感知器神经网络的路径损耗预测研究

为了更好地服务于5G及未来无线通信系统的网络规划与优化,开展了基于多层感知器(multi-layer perceptron, MLP)神经网络的路径损耗预测研究. 利用有限的地物类型,提出一种表征传播环境的简易方法,避免了繁琐的三维场景建模. 结合测量数据和由环境表征方法提取的环境特征,基于MLP神经网络建立了路径损耗模型. 数据实验的对比分析表明MLP神经网络能够实现路径损耗的准确预测,且环境特征的引入有助于提升模型性能. 为解决干扰地物影响路径损耗模型的准确性以及模型对环境变化的敏感性问题,根据视距(line-of-sight, LoS)和非视距(non-line-of-sight, NLoS)标签改进环境表征方法,进一步提升了模型的稳定性和泛化能力. 所做工作有助于了解无线电波传播特性,为无线网络优化和通信系统设计提供了理论依据.     

高速铁路场景下时变信道的平稳区间研究

The non-stationary behavior, caused by the train movement, is the main factor for the variation of high speed railway channel. To measure the time-variant effect, the parameter of stationarity interval, in which the channel keeps constant or has no great change, is adopted based on Zhengzhou-Xi'an (Zhengxi) passenger dedicated line measurement with different train speeds. The stationarity interval is calculated through the definition of Local Region of Stationarity (LRS) under three train velocities. Furthermore, the time non-stationary characteristic of high speed railway channel is compared with five standard Multiple-Input Multiple-Output (MIMO) channel models, i.e. Spatial Channel Model (SCM), extended version of SCM (SCME), Wireless World Initiative New Radio Phase II (WINNERII), International Mobile Telecommunications-Advanced (IMT-Advanced) and WiMAX models which contain the high speed moving scenario. The stationarity interval of real channel is 9 ms in 80% of the cases, which is shorter than those of the standard models. Hence the real channel of high speed railway changes more rapidly. The stationarity intervals of standard models are different due to different modeling methods and scenario definitions. And the compared results are instructive for wireless system design in high speed railway.