Design and Implementation of Nonlinear Precoding for MIMO-SDMA Toward 6G Wireless

In this paper, we present a novel and robust nonlinear precoding(NLP) design and detection structure specifically tailored for multiple-input multipleoutput space division multiple access(MIMO-SDMA)systems toward 6G wireless. Our approach aims to effectively mitigate the impact of imperfect channel estimation by leveraging the channel fluctuation mean square error(MSE) for reconstructing a highly accurate precoding matrix at the transmitter. Furthermore,we introduce a simplified receiver structu...     

Analysis and Design of Scheduling Schemes for Wireless Networks with Unsaturated Traffic

Scheduling schemes assign limited resources to appropriate users,which are critical for wireless network performance.Most current schemes have been designed based on saturated traffic,i.e.,assuming users in networks always have data to transmit.However,the user buffer may sometimes be empty in actual network.Therefore,these algorithms will allocate resources to users having no data to transmit,which results in resource waste.In view of this,we propose new scheduling schemes for onehop and two-hop link scenario with unsaturated traffic.Furthermore,this paper analyzes their key network performance indicators,including the average queue length,average throughput,average delay and outage probability.The two scheduling algorithms avoid scheduling the links whose buffers are empty and thus improve the network resource utilization.For the one-hop link scenario,network provides differentiated services via adjusting the scheduling probabilities of the destination nodes(DNs)with different priorities.Among the DNs with same priority,the node with higher data arrival rate has larger scheduling probability.For the two-hop link scenario,we prioritize the scheduling of relay-to-destination(R-D)link and dynamically adjust the transmission probability of source-to-relay(S-R)link,according to the length of remaining buffer.The experiment results show the effectiveness and advantage of the proposed algorithms.     

EC Analysis of Multi-Antenna System over 5G and Beyond Networks and its Application to IRS-Assisted Wireless Systems

Wireless Personal Communications - Recently, the theory of effective rate has attracted much attention, since it can take the delay aspect into account when performing channel capacity analysis. In...     

Large Scale Indoor Localization System Based on Wireless Sensor Networks for Ubiquitous Computing

The task of formulating an efficient system for determining the location of an object, results in the creation of a wide number of applications and services. For this reason, most wireless sensor network applications assume the availability of sensor location information. In this paper, an indoor localization scheme, which is based on synchronized sensor nodes, is proposed. It is efficient in terms of power consumption and location update rate. Furthermore, it resolves the scalability problem usually found in most conventional indoor localization systems in large scale indoor environments. The performance of the proposed scheme is evaluated through experimental implementation and is compared with the Cricket system. The results demonstrate that the proposed scheme is a promising and feasible localization system for a large scale indoor environment.     

5G System Design Solutions for Wireless Personal Applications

Wireless Personal Communications -     

Security for Smart Grid in 5G and Beyond Networks

The smart grid is the next-generation electrical power system that combines operations technology (OT) and information technology (IT) for the efficient generation, delivery, and consumption of electrical energy. We aim to provide a brief overview of machine to machine (M2M) communication and its history, its application in the smart grid, security issues affecting M2M data on the smart grid, and some available solutions to detect and prevent cyber threats. With the emergence of 5G networks, we also provide an introduction to this evolving technology, how the smart grid will benefit from its deployment, and some security concerns.

     

Maritime Communications in 5G and Beyond Networks

<正>With the rapid development of marine activities,there has been an increasing use of Internet-of-Things(IoT) devices for maritime applications.This leads to a growing demand for high-speed and ultra-reliable maritime communications.Current maritime communication networks (MCNs) mainly rely on satellites and on-shore base stations (BSs).The former generally provides limited transmission rate while the latter lacks wide-area coverage capability.As a result,the development of current MCN la...     

大规模服务覆盖网拓扑设计

针对大规模服务覆盖网拓扑设计方法构建效率低的问题,该文提出了以带宽容量为约束条件,基于多商品流的线性规划模型和实现算法,以降低构建算法的时间与空间复杂度。仿真结果表明,该算法在大规模网络情况下,构建效率和资源利用率有显著提高。     

Localization Algorithm for Large Scale Wireless Sensor Networks Based on Fast-SVM

Sensor node localization is one of research hotspots in the applications of wireless sensor networks (WSNs) field. In recent years, many scholars proposed some localization algorithms based on machine learning, especially support vector machine (SVM). Localization algorithms based on SVM have good performance without pairwise distance measurements and special assisting devices. But if detection area is too wide and the scale of wireless sensor network is too large, the each sensor node needs to be classified many times to locate by SVMs, and the location time is too long. It is not suitable for the places of high real-time requirements. To solve this problem, a localization algorithm based on fast-SVM for large scale WSNs is proposed in this paper. The proposed fast-SVM constructs the minimum spanning by introducing the similarity measure and divided the support vectors into groups according to the maximum similarity in feature space. Each group support vectors is replaced by linear combination of “determinant factor” and “adjusting factor” which are decided by similarity. Because the support vectors are simplified by the fast-SVM, the speed of classification is evidently improved. Through the simulations, the performance of localization based on fast-SVM is evaluated. The results prove that the localization time is reduce about 48 % than existing localization algorithm based on SVM, and loss of the localization precision is very small. Moreover, fast-SVM localization algorithm also addresses the border problem and coverage hole problem effectively. Finally, the limitation of the proposed localization algorithm is discussed and future work is present.     

5G大规模天线系统研究现状及发展趋势

针对第5代移动通信的关键技术-大规模天线技术,介绍了国内外、研究机构的研究现状。总结了贝尔实验室、美国莱斯大学、大唐电信、华为、中兴、54所等国内外多家单位的研究成果。在此基础上,分析了5G大规模天线系统的发展趋势,提出了有源集成化天线是5G大规模天线系统的必然选择,并分析了大规模有源集成化天线在第五代移动通信系统中遇到的挑战。     

5G核心网标准化进展及B5G演进初探

为了给后续B5G核心网技术研究和标准化提供思路,首先介绍了5G核心网的服务化架构,描述了网络切片、边缘计算等关键技术;然后介绍了3GPP R15核心网标准化成果,提出了5G核心网系统架构,并介绍了R16在固移融合、5G LAN、TSN等方向的核心网标准化进展;其次介绍了ITU IMT-2020核心网标准化进展,包括IMT-2020核心网架构,给出了B5G核心网演进思路分析,提出网络极简化、行业专网增强、网络智能化、uRLLC、mMTC、天地一体化等5G核心网演进方向,并提供了3GPP、ITU的B5G核心网标准化最新进展;最后提出B5G核心网技术方案研究和标准化应覆盖全部的主流技术方向,面向未来做好技术能力储备。     

Editorial: Emerging Techniques and Applications for 5G Networks and Beyond

Mobile Networks and Applications -     

基于5G技术的无线通信系统设计

5G技术是一种全新的无线通信技术,其通过高频带、低时延、大容量优势以及强大的连接能力等优势,实现了快速的数据传输和更好的用户体验。其关键技术包括MIMO（多输入多输出）技术、Beamforming技术、超密集波束技术等。这些技术的应用可以大大提高无线通信系统的吞吐量和传输效率。文中主要分析了基于5G技术的无线通信系统的架构、发射端和接收端的设计,以期为用户提供更加高效、可靠的无线通信服务。     

5G无线网络智能规划技术的探索与实践

研究并应用了多制式多网络的站址协同分析、5G站址智能寻优、弱覆盖栅格聚类识别、高精度3D规划仿真呈现等技术手段,将工具与生产流程有机结合,实现流程自动化,减少不必要的人工参与,提升整体规划效率,实现对5G网络资源的快速精准投放。最后,提供后续研究方向,为5G无线网智能化平台的进一步研究提供参考。     

一种网络编码和信道编码的联合设计

网络编码技术可以大幅度提高网络的吞吐量和鲁棒性,因此已成为近年来的研究热点。在研究无线网络中物理层网络编码技术的基础上,提出了多址信道中一种联合网络编码和信道编码的设计方案。该设计利用LDPC码和网络编码的线性特性以及软输入软输出模块设计,不仅减少了编译码的复杂度,而且在高的信噪比情况下可以获得良好的性能。仿真结果表明,该设计方案不仅容易实现,而且性能接近网络信道容量的上限,相比传统的设计技术至少能够提高1．6倍的增益。     

An Optimal Lifetime Utility Routing for 5G and Energy-Harvesting Wireless Networks

Harvesting energy from environmental sources such as solar and wind can mitigate or solve the limited-energy problem in wireless sensor networks. In this paper, we propose an energy-harvest-aware route-selection method that incorporates harvest availability properties and energy storage capacity limits into the routing decisions. The harvest-aware routing problem is formulated as a linear program with a utility-based objective function that balances the two conflicting routing objectives of maximum total and maximum minimum residual network energy. The simulation results show that doing so achieves a longer network lifetime, defined as the time-to-first-node-death in the network. Additionally, most existing energy-harvesting routing algorithms route each traffic flow independently from each other. The LP formulation allows for a joint optimization of multiple traffic flows. Better residual energy statistics are also achieved by such joint consideration compared to independent optimization of each commodity.