6 GHz频段IMT系统对卫星固定业务干扰分析

6 GHz作为移动宽带发展频谱使用有利于全球5G产业持续健康发展,为满足6 GHz频段国际移动通信(IMT)系统的使用需求,需要开展6 GHz频段下IMT与同频卫星固定(地对空)业务频谱共存研究,以保护该频段的卫星固定(地对空)业务的正常工作.首先分析IMT系统对卫星固定(地对空)业务的干扰场景,然后采用蒙特卡洛仿真方...     

一种用于5G 移动通信终端的双频MIMO天线系统

为满足5G 移动通信系统对信道容量的要求,提出了一种应用于5G 移动终端的双频多输入多输出(MIMO)天线系统。它由沿移动终端两个长边垂直放置的八个天线单元组成。该天线系统可以覆盖中国工业和信息化部(MIIT)所规划的3.3 ~ 3.6 GHz 和4.8 ~ 5 GHz 两个频段,且低频段和高频段的天线效率分别高于61% 和50%。通过优化各天线的相对位置和放置方向,使得各端口之间的隔离度优于15 dB。为更好评估天线系统性能,计算了MIMO天线的包络相关系数(ECC)和信道容量(CC)。所得该MIMO 天线系统在工作频段内ECC均小于0.1,且信道容量峰值可以达到36.8 bps/ Hz。同时,制作并测量了MIMO 天线样品,测试结果与仿真结果表现出良好的一致性。     

中国移动在A频段5G部署策略研究

首先分析了中国移动可以使用的频率资源,建议随着3G用户的大幅减少,采用SUL方式在A频段上部署5G网络,以增加上行峰值速率和降低空中接口时延,然后给出了SUL载波和NUL载波的调度方式以及SUL参数的配置原则和建议,最后给出了A频段、D频段和3.5 GHz频段的峰值速率,采用SUL方式,A频段和D频段的上行峰值速率可以...     

一种面向5G通信的宽带8单元MIMO天线设计

提出了一种面向5G的宽带8端口多输入多输出（multiple-input multiple-output,MIMO）天线.天线单元采用多枝节单极子结构,能够激发多模态,且能覆盖多频段.同时,采用弯折结构来实现小型化,且在相邻单元之间设计T形突出地结构来提高隔离度.仿真和实测结果显示,该天线在3~7.1 GHz内回波损耗大于10 dB,在3.3~7.1 GHz内隔离度高于15 dB.因为进行了有效的去耦,天线体现出明显的辐射分集特性,天线在目标sub-6 GHz频段内的包络相关系数（envelope correlation coefficient,ECC）接近0.在一8×8 MIMO系统中,计算得到的峰值遍历信道容量为43 bps/Hz,达到传统2×2 MIMO上限值的3.74倍.该8单元MIMO天线具有良好的分集和复用能力,能满足5G通信在sub-6 GHz的高速数据传输需要.     

面向5G/B5G的智能云化网络架构

5G/B5G技术的出现使移动网络的带宽、时延、连接等关键能力得到了极大的提升。面对移动接入侧能力的飞速发展,现有的集中式互联网云服务架构容易出现瓶颈,无法充分发挥 5G/B5G 的性能优势。网络5.0技术的提出,旨在通过一套完整的创新协议体系及控制管理架构,应对未来典型网络应用对数据网络的需求。基于网络5.0协议体系,提出一种新型的智能云化网络,通过云网深度融合,弥补互联网服务模型与5G/B5G接入能力之间的差距,推动网络持续演进发展。     

27~29.5 GHz频段IMT-2020(5G)系统对卫星固定业务系统干扰分析研究

基于WRC-19 1.13议题研究框架和国内6 GHz以上第五代（the 5th Generation,5G）移动通信候选频段的兼容性分析要求,针对27~29.5 GHz频段国际移动通信-2020（International Mobile Telecommunications-2020,IMT-2020）系统对卫星固定业务（Fixed Satellite Service,FSS）系统的干扰进行研究.采用集总干扰评估方法,比较了FSS静止轨道卫星经度分别在东经59°、85°、113°时,IMT-2020（5G）系统基站对FSS上行链路的干扰情况.此外,还针对IMT-2020（5G）基站采用不同阵列配置进行了兼容性仿真研究.研究表明,在该频段IMT-2020（5G）系统不会对FSS产生有害干扰,特别是在IMT-2020（5G）基站采用大规模天线阵列的情况下.研究结果可为未来27~29.5 GHz频段IMT-2020（5G）系统频率规划实际部署及保护FSS系统提供技术依据.     

一种应用于4G/5G频段的新型8×8频率可重构MIMO系统设计

文章提出一种可应用于4G/5G工作频段且应用分集技术解耦的8×8频率可重构MIMO系统。八天线阵列中包括4个可切换于2.6 GHz频段和3.5 GHz频段的频率可重构天线模块以及4个应用于3.5 GHz频段的5G模块。由于频率可重构技术的应用,该系统可满足网络传输速率等多种要求,进一步提高终端设备的空间利用率和系统应用的灵活性。文章给出了MIMO系统切换前后的S参数和包络相关系数等参数的计算结果,结果显示出多天线阵列的可应用性。     

快速发展的蜂窝网通信和卫星通信

主要说明无线通信将应用于移动通信、个人通信和全球通信。数字蜂窝网将增设微蜂窝区 ,频率从 90 0MHz升至 1 .8～ 2GHz ,向宽带和多媒体方向发展 ,数据速率从 1 44kb /s升至 2Mb /s。手机将是TDMA /CDMA双模。蜂窝网不仅用于移动通信 ,而且用于固定用户的市内接入网。卫星通信将加快发展低轨道 /中轨道卫星通信网 ,而同步卫星仍需利用。移动卫星网可通电话 ,可进行多媒体通信 ,速率为 2Mb /s,并通过地面信关站 ,与陆地固定通信网结合一起 ,实现全球个人通信。     

An All-Digital RF Signal Generator Using High-Speed $DeltaSigma$ Modulators

An all-digital RF signal generator using DeltaSigma modulation and targeted at transmitters for mobile communication terminals has been implemented in 90 nm CMOS. Techniques such as redundant logic and non-exact quantization allow operation at up to 4 GHz sample rate, providing a 50 MHz bandwidth at a 1 GHz center frequency. The peak output power into a 100 Omega diff. load is 3.1 dBm with 53.6 dB SNDR. By adjusting the sample rate, carriers from 50 MHz to 1 GHz can be synthesized. RF signals up to 3 GHz can be synthesized when using the first image band. As an example, UMTS standard can be addressed by using a 2.6 GHz clock frequency. The measured ACPR is then 44 dB for a 5 MHz WCDMA channel at 1.95 GHz with output power of -16 dBm and 3.4% EVM. At 4 GHz clock frequency the total power consumption is 120 mW (49 mW for DeltaSigma modulator core) on a 1 V supply voltage, total die area is 3.2 mm² (0.15 mm² for the active area).     

3.5 GHz车联网信道测量与仿真对比分析

针对第五代（the 5th Generation,5G）移动通信试验频段中的3.5 GHz开展测量和分析研究.利用自主研发的频域信道探测系统对车联网场景进行测试,同时,利用自主研发的射线跟踪仿真器产生车联网场景的信道数据.通过校正几何模型和材料库对实测场景进行仿真,并与实测结果进行接收功率的对比,进而利用对数距离路径损耗模型对实测和仿真场景的路径损耗曲线进行拟合.结果表明,仿真场景的路径损耗因子和阴影衰落标准差的相对误差都不超过7%,从而验证了射线跟踪仿真器在信道仿真中的有效性和准确性.本文的研究内容将对未来5G车联网中低于6 GHz频段的选择和网络部署提供研究依据和指导.     

5G城市轨道交通场景分类及信道建模

城市轨道交通是现代化交通基础设施的重要组成部分,5G作为新一代移动通信技术,可提供高速率、低时延的无线数据传输,有助于提升城市轨道交通的运行效率和服务质量。由于城市轨道交通场景的复杂性,需要针对性的通信场景分类、信道特性分析和精准的信道模型为城市轨道交通5G通信系统的设计提供理论支撑。基于此,提出了5G城市轨道交通电波传播场景的分类,以支撑典型场景下的信道测试与建模工作,同时阐述了城市轨道交通场景信道测量和建模的现状,并分析了当前面临的主要挑战。结合5G通信智能化特点,讨论了人工智能在信道特征提取和信道建模方面的应用前景与可行思路,并深入分析了基于可重构智能面和无人飞行器辅助的5G城市轨道交通信道建模研究现状和发展前景。最后,阐述了毫米波频段下5G城市轨道交通信道建模的研究。     

Common source power amplifier design for 5G application in 28-nm UTBB FD-SOI technology

The telecommunication market examines a highly growing demand for RF mobile devices where low latency and high performance are ongoing improvement. The power amplifier (PA) is a major element of the radio frequency front-end; especially if power consumption and bandwidth are considered. This paper presents the design of 5G mm-wave PA using both Common Source Class-AB and Class-J topologies utilizing 28-nm UTBB FD-SOI technology and its body bias technique. Upon taking into consideration the parasitic extraction of the transistor, RF pads, and interconnection to ground, a comparison is made and the theoretical effectiveness of Class-J topology for single stage large signal amplification is simulated. Moreover, two distinct transistors - widths of 250 µm and 350 µm - are simulated where each has its own topology in order to study the impact of increasing the width on the performance of the PA. The stability of the designed Power Amplifiers is taken into consideration and the unconditional stability conditions are approved. While 5G spectral band is not yet specified and determined, recent studies proved that the 28 GHz band is particularly effective for 5G mobile standardization.     

25.25～27.5 GHz频段卫星间业务与IMT系统兼容性研究

基于现有技术参数,研究了25.25～27.5 GHz频段国际移动通信（IMT）系统与卫星间业务数据中继卫星（DRS）系统间的干扰共存情况。采用集总干扰评估方法,比较了数据中继卫星经度分别在59°、85°、113°时,IMT基站对其造成干扰的情况。此外,还通过固定干扰余量,推导了IMT基站总数及其与IMT发射功率之间的关系。研究结果可为未来25.25～27.5 GHz频段IMT系统设计与部署、5G频率规划提供借鉴。     

5G毫米波焦点频段(26 GHz)全球研究动态与展望

阐述了5G系统毫米波焦点频段(26 GHz频段)全球频谱划分与现有应用概况,对全球研究动态与主要国家和地区的初步观点进行了梳理与总结。结合本频段现有无线电业务应用情况,重点剖析了开展频谱兼容性研究的关键场景、研究方法与主要挑战。最后,对5G系统有助于兼容共存的特征进行了归纳,为后续研究指明了方向。相关内容可为该频段5G频率规划提供借鉴。     

基于5G-R系统的高铁站台场景信道特性

为推进智能铁路总体建设,实现高速铁路智能化,高铁信息基础设施将应用第五代移动通信技术(5G)建设铁路5G专用移动通信系统,2.1 GHz有望成为铁路5G专用移动通信系统的承载频段。高铁站台作为客货乘降与调度中转的功能核心,其在2.1 GHz下的电波传播特性亟待研究。本文以厦门北站高铁站台为研究场景,利用射线跟踪(RT)技术仿真2.1 GHz频段下的电波传播,基于仿真结果分析此场景无线信道特性,包括均方根时延扩展(RMS DS)、到达/离开方位角扩展、到达/离开俯仰角扩展(ASA/ASD, ESA/ESD)、交叉极化比(XPR)和以上参数的互相关。根据以上结果,对高铁站台场景中铁路5G专用移动通信系统的设计和评估提出相关建议。     

5G NR部署在700 MHz上的综合性能分析

为有效进行700 MHz频段5G网络的规划和部署.本文通过链路预算,计算了700 MHz频段最大允许的路径损耗,再结合传播模型,给出了700 MHz频段的覆盖能力.在密集市区、一般市区、郊区和农村场景下,700 MHz频段的小区覆盖半径分别是447 m、623 m、877 m和2074 m.通过参数法给出了700 MH...     

Compact multilayer dual-band bandpass filter design using stepped impedance resonators

Compact dual-band bandpass filter (BPF) for the 5th generation mobile communication technology (5G) radio frequency (RF) front-end applications was presented based on multilayer stepped impedance resonators (SIRs). The multilayer dual-band SIR BPF can achieve high selectivity and four transmission zeros (TZs) near the passband edges by the quarter-wavelength tri-section SIRs. The multilayer dual-band SIR BPF is fabricated on a 3-layer FR-4 substrate with a compact dimension of 5.5 mm ×5.0 mm ×1.2 mm. The measured two passbands of themultilayer dual-band SIR BPF are 3.3 GHz -3.5 GHz and 4.8 GHz -5.0 GHz with insertion loss (IL) less than 2 dB respectively. Both measured and simulated results suggest that it is a possible candidate for the application of 5G RF front-end at sub-6 GHz frequency band.     

5G高低频协同组网方案研究

3.5 GHz频段是目前全球5G部署的主流频段,也是国内两大运营商的主要部署频段,它具有带宽大、传播损耗高、穿透性能差等特点.2.1 GHz NR是运营商最早可重耕的低频FDD频段,可弥补3.5 GHz频段上行覆盖的不足,但在容量方面存在短板,与3.5 GHz NR差距比较大.因此,要综合2个频段各自的优点,合理利用下...     

Proactive content caching by exploiting transfer learning for mobile edge computing

To address the vast multimedia traffic volume and requirements of user quality of experience in the next‐generation mobile communication system (5G), it is imperative to develop efficient content caching strategy at mobile network edges, which is deemed as a key technique for 5G. Recent advances in edge/cloud computing and machine learning facilitate efficient content caching for 5G, where mobile edge computing can be exploited to reduce service latency by equipping computation and storage capacity at the edge network. In this paper, we propose a proactive caching mechanism named learning‐based cooperative caching (LECC) strategy based on mobile edge computing architecture to reduce transmission cost while improving user quality of experience for future mobile networks. In LECC, we exploit a transfer learning‐based approach for estimating content popularity and then formulate the proactive caching optimization model. As the optimization problem is NP‐hard, we resort to a greedy algorithm for solving the cache content placement problem. Performance evaluation reveals that LECC can apparently improve content cache hit rate and decrease content delivery latency and transmission cost in comparison with known existing caching strategies.     

Efficient Computation Offloading Decision in Mobile Cloud Computing over 5G Network

Due to the significant advancement of Smartphone technology, the applications targeted for these devices are getting more and more complex and demanding of high power and resources. Mobile cloud computing (MCC) allows the Smart phones to perform these highly demanding tasks with the help of powerful cloud servers. However, to decide whether a given part of an application is cost-effective to execute in local mobile device or in the cloud server is a difficult problem in MCC. It is due to the trade-off between saving energy consumption while maintaining the strict latency requirements of applications. Currently, 5th generation mobile network (5G) is getting much attention, which can support increased network capacity, high data rate and low latency and can pave the way for solving the computation offloading problem in MCC. In this paper, we design an intelligent computation offloading system that takes tradeoff decisions for code offloading from a mobile device to cloud server over the 5G network. We develop a metric for tradeoff decision making that can maximize energy saving while maintain strict latency requirements of user applications in the 5G system. We evaluate the performances of the proposed system in a test-bed implementation, and the results show that it outperforms the state-of-the-art methods in terms of accuracy, computation and energy saving.