5G-Advanced核心网技术综述

2021年4月3GPP提出5G-Advanced网络演进理念,产业各界从R18开始逐步为5G-Advanced完善框架和充实内容。针对3GPP 5G-Advanced关注的基础能力增强、新业务支持、分布式智能化、垂直行业能力增强、物联网架构演进等五个方面展开阐述,涉及实时通信、近距通信、无人机等关键特性,可促进产业界了解和研究5G-Advanced相关能力,更好地满足不同行业客户需求。     

新品方案

烽火推出电信级城域粗波分设备Citrans830Citrans830设备在运营可靠性、传输带宽、运营维护等方面能力突出,完全符合电信城域传输的需求。在传输容量方面,可支持18个波道传输,总带宽达45G,无电中继达80KM,通过独有的CWDM线路延伸技术,可以满足更远的业务传送需求。Citrans830与传统的简易型CWDM设备最大的不同在于其支持OMSP、SNCP等多种网络保护方案外,还提供全面的网络监控功能。Citrans830可纳入烽火通信MSTP、DWDM的统一网管平台,可灵活配置为OMT、OADM和C-OMT方式,通过灵活的子速率复用功能,还可充分利用波道带宽,进…     

新一代多媒体实时通信系统架构增强演进研究

随着5G和5G-Advanced网络的演进发展,多媒体实时通信业务正在向超清化、交互式、沉浸式及开放性趋势发展,对现有基于IP多媒体子系统(IP multimedia sub system,IMS网络)的多媒体实时通信系统提出了架构和网络能力方面的增强需求。对实时多媒体通信系统架构的增强技术进行了研究和探讨,通过引入基于IMS网络架构的交互式通信通道技术,提出了服务化统一媒体面和三方标识认证的架构及流程,更好地满足个人和行业用户多样化、沉浸式多媒体实时通信体验需求。同时提出了一种多媒体实时通信网络新架构,对多媒体实时通信的控制面架构进行演进重构,提供更为简化、灵活和开放的会话控制、会话路由、媒体面管理、业务调用、业务组合机制。     

基于5G的警务集群系统

通过分析集群通信系统沿专网与公网方向发展演进的技术趋势,结合公安调度需求研究了基于5G切片的警务集群系统体系结构,包括应用层、服务层、传输层、终端层、标准及管理体系和安全保障体系。在网络组网架构方面,通过超高可靠低时延通信(Ultra-reliable and Low Latency Communications,uRLLC)切片传输控制信号,增强型移动宽带(Enhanced Mobile Broadband,eMBB)切片传输业务内容,并提出集群业务软件中通信调度业务逻辑、综合业务适配和维护管理软件的模块组成,对其应用的协同算法、时延保证、安全可靠性和可扩展性等关键技术问题给出建议。基于多智能体控制模型提出多接入边缘计算(Multiple Access Edge Computing,MEC)服务器之间状态同步协调算法,为警务集群系统在5G技术体制下的进一步发展提供了基础。     

全息通信对未来网络的需求与挑战

随着5G全球化商用部署进程的加快,以全息通信为代表的各种新兴沉浸式网络应用,对现有网络体系的结构和能力都提出了重大需求和考验。介绍了全息通信类业务在众多领域的广泛应用,分析了当前5G网络无法满足全息沉浸式应用快速发展需求的现状。从技术方面分析了全息通信类应用在带宽、时延、算力、同步性、服务质量、可靠性、安全性等方面对未来网络的性能需求。总结归纳了全息通信应用场景及其关键技术。通过对未来网络可能存在的演进路线进行调研和分析,为未来网络的演进发展指明方向。     

5G企业专网UPF建设方案探讨

当前5G技术不断向各个垂直行业渗透,推动了企业数字化和智能化转型。为满足不同垂直行业差异化的业务需求,运营商需要结合不同行业的应用场景制定5G企业专网UPF的建设方案,从而为企业提供快速、高效、灵活的网络服务。从分析业务需求入手,从UPF的部署原则、业务路由方案、设备选型、组网方案、网络安全及可靠性等多个方面探讨了5G企业专网UPF的建设方案。     

大型场馆4G+5G标准化组网方案研究

通过研究大型场馆的建筑特点、功能区划分,并结合5G新时代的设备特性,文章提出一种标准化的场馆规划设计方案,通过多频多制式分区组网,满足个性化、特殊情况下4G通信需求,同时5G演进一步到位,确保不同场景下各类用户良好感知。     

IP RAN地市部署方案

随着3G标准的发展演进和LTE发放牌照,传统的基于SDH的MSTP网络由于业务扩展性差、不支持流量统计复用、承载效率低、无法有效承载LTE突发流量及基站间点到多点的业务等因素,已经无法满足未来IP化的需求。IP RAN的优势包括承载的效率高、支持点到多点、扩展性好等,这些优势非常适合未来LTE基站的回传需求。     

新品发布

电信级城域粗波分设备烽火烽火通信近日在充分考虑城域网建设新需求,对原有的CWDM产品进行多项改进之后,推出了适合城域传输各层面网络运行需求的电信级城域粗波分设备Citrans830。Citrans830设备在运营可靠性、传输带宽、运营维护等方面能力突出,完全符合电信城域传输的需求。在传输容量方面,可支持18个波道传输,总带宽达45G,无电中继达80KM,通过独有的CWDM线路延伸技术,可以满足更远的业务传送需求。Citrans830与传统的简易型CWDM设备最大的不同在于其支持OMSP、SNCP等多种网络保护方案外,还提供全面的网络监控功能,如提供B1/…     

电力通信骨干网优化

随着电网的快速发展和信息化建设,各类生产和管理业务对光传输网的要求不断提高,原有光传输网的通信容量和业务支持能力已不能满足电网发展的需求。文章介绍了泰州电力光传输网现状,分析了网络存在的问题和通信业务的发展,并进行带宽需求预测,从通信技术、网络结构、光通信设备等方面阐述了泰州电力光传输网络升级改造后的现状。通过网络结构优化,提高网络的可靠性和生存性,增强了网络多业务接入能力。     

5G新空口下eMBB与URLLC业务复用技术的研究

5G标准规范体系的演进将致力于解决不同应用场景中的多样化、差异化性能指标,适用频谱资源的缺乏要求5G新空口频段能够同时承载超高速率、超低时延业务。根据3GPP研究计划与进展,5G研究初期以eMBB为主,直到成熟期完善URLLC的标准化。本文主要从物理层设计的角度出发对eMBB与URLLC KPI及相关技术进行了讨论与研究。为了实现不同参数集配置的两种业务模型在同一频段上共存,本文分析了四种应用场景下eMBB与URLLC的两种基本复用方法,旨在减少资源浪费,提升系统的频谱效率。     

面向电网业务质量保障的5G高可靠低时延通信资源调度方法

该文研究面向电网业务质量保障的5G 高可靠低时延通信(URLLC)的资源调度机制,以高效利用低频段蜂窝通信系统内有限的频谱和功率资源来兼顾电力终端传输速率和调度时延、调度公平性,保障不同电力业务的通信质量（QoS）。首先,基于URLLC的高可靠低时延传输特性,建立电力终端多小区下行传输模型。然后,提出面向系统下行吞吐量最大化的资源分配问题模型并对其进行分步求解,分别提出基于定价机制与非合作博弈的功率分配算法和基于调度时延要求的改进比例公平算法（DPF）动态调度信道资源。仿真结果表明,提出的资源调度方法能在保证一定传输可靠性和公平性的条件下降低电力终端调度时延,满足不同业务等级的QoS需求,与已知算法对比有一定的优越性。     

Towards the implementation of Multi‐band Multi‐standard Software‐Defined Radio using Dynamic Partial Reconfiguration

The vast evolution of fixed and mobile standards urges upgrading the hardware to be compatible with them. An efficient approach to reduce the required cost and effort is hardware reusability, which in turn can be achieved by a dynamically reconfigurable field programmable gate array (FPGA). This flexible hardware time multiplexing allows more logic to fit within the same area, which means fitting bigger designs into smaller less expensive devices, with more optimization of power consumption. This work shows the advantages of using the dynamic partial reconfiguration (DPR) technique, on a fine‐grained block level, in implementing a baseband physical layer processing module for software‐defined radio (SDR) chain that supports 3G, long‐term evolution (LTE), and WIFI standards. The benefits increase when the reconfiguration is not only dynamic but also takes place in run‐time without the need to switch off the system. A comparison is held on Xilinx Virtex 5 design kit XUPV5‐LX110T between the implementation of the baseband processing module with and without using the DPR technique in the 3G, long‐term evolution, and WIFI standards. The comparison addresses the area, power, memory, and time overhead. Experimental results reveal that the DPR technique improves the area and the power consumption with an acceptable increase in memory and latency. Xilinx ISE 14.7 is used for modules implementation, Xilinx PlanAhead is used in floorplanning for the different designs and applying the DPR technique, and Xilinx Power Analyzer is used to measure the power consumption.     

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.     

Evolution map from TD-SCDMA to FuTURE B3G TDD

The rapid growth of mobile applications in recent years has created a need for wideband wireless communication. The only predictable trend is that data-rate and QoS requirements will increase rapidly. This demand is pushing time-division-synchronous code-division multiple access (TD-SCDMA) to evolve in order to provide higher and higher data rates. This article presents the evolution map from TD-SCDMA to future terrestrial universal radio environment (FuTURE) TDD in China. The evolution includes four phases: low chip rate (LCR), high-speed downlink/uplink packet access (HSxPA)/TD-SCDMA EV 1x, long-term evolution (LTE) TDD, and FuTURE beyond 3G TDD. The main features of each phase are described in detail. By introducing the new technologies into the system step by step, for example, multiple input and multiple output (MIMO), orthogonal frequency-division multiplexing (OFDM), TD-SCDMA system can evolve to FuTURE B3G TDD smoothly, and provide high-data-rate services with low cost, low latency, and improved coverage and capacity.     

Mobile Edge Computing Platform with Container-Based Virtualization Technology for IoT Applications

The next generation of fifth generation (5G) network, implementing mobile edge computing (MEC), network function virtualization (NFV) and software defined networking technologies, establishes a flexible and resilient network in line with various internet of things (IoT) devices. While NFV adds flexibility scale in or out networks by allowing network functions to be dynamically deployed and inter-connected, MEC provide intelligence at the edge of a mobile network; reduces latency, and increases capacity. With the diverse development of networking applications, the proposed MEC with container-based virtualization technology (CVT) as IoT gateway with IoT devices for flow control mechanism in scheduling and analysis methods will effectively enhance the quality of service. In this work, the proposed IoT gateway will be analyzed to elucidate the combined effect of simultaneously deploying virtual network functions and MEC applications on the same network infrastructure. Low latency, high bandwidth and high agility, supporting the connection of large-scale devices, and the efficient combination of resources from network edge and cluster clouds, account for real-time network conditions, reducing the IoT applications and services to indicate that a number is the average of 30% of the latency, that could get more suitable service quality to develop such as both augmented reality and virtual reality application intelligence in coming 5G network.

     

An efficient resource allocation to improve QoS of 5G slicing networks using general processor sharing‐based scheduling algorithm

Fifth generation (5G) slicing is an emerging technology for software‐defined networking/network function virtualization–enabled mobile networks. Improving the utilization and throughput to meet the quality of service (QoS) requirements of 5G slicing is very important for the operators of mobile networks. With growing data traffic from different applications of numerous smart mobile devices having several QoS requirements, we expect networks to face problems of congestion and overload that prevent the effective functioning of a radio access network (RAN). This paper proposes a more effective packet‐based scheduling scheme for data traffic by 5G slicing with two operation modes for improving the resource utilization of 5G cloud RAN and providing an efficient isolation of the 5G slices. These two operation modes are referred to as static sharing resource (SSR) scheme and dynamic sharing resources (DSR) scheme. The SSR scheme is a modified version of an existing method. The goal of this approach is to reallocate the shared available resources of 5G network fairly and maximize the utilization of bandwidth while protecting a 5G slice from overwhelming other 5G slices. Throughput and delays of the system model are also discussed to show its performance limits. On the basis of the simulation outcomes, we observed that the proposed DSR scheme outperforms the SSR scheme in terms of provided delay and throughput. In addition, the token bucket parameters together with the assigned capacity weight for each slice can be selected and configured based on the required QoS. Finally, a good estimate for the maximum delay bounds of the slices is provided by the derived theoretical delay bound.     

5G URLLC无线网络部署方案分析

URLLC场景是5G的典型应用场景之一,也是体现5G技术先进性的重要场景。随着URLLC增强技术标准化工作的完成,运营商需要明确5G URLLC网络下承载的典型业务,推动URLLC无线网络的部署。根据3GPP对不同业务网络指标需求的分析,结合ITU对URLLC场景时延与可靠性指标的要求,分析URLLC场景下潜在的应用,探讨了5G URLLC无线网络的部署方案。     

Packet scheduling in broadcast WDM networks with arbitrarytransceiver tuning latencies

We consider the problem of scheduling packet transmissions in a broadcast, single-hop wavelength-division multiplexing (WDM) network, with tunability provided only at one end. Our objective is to design schedules of minimum length to satisfy a set of traffic requirements given in the form of a demand matrix. We address a fairly general version of the problem as we allow arbitrary traffic demands and arbitrary transmitter tuning latencies. The contribution of our work is twofold, First we define a special class of schedules which permit an intuitive formulation of the scheduling problem. Based on this formulation we present algorithms which construct schedules of length equal to the lower bound provided that the traffic requirements satisfy certain optimality conditions. We also develop heuristics which, in the general case, give schedules of length equal or very close to the lower bound. Secondly, we identify two distinct regions of network operation. The first region is such that the schedule length is determined by the tuning requirements of transmitters; when the network operates within the second region however, the length of the schedule is determined by the traffic demands, not the tuning latency. The point at which the network switches between the two regions is identified in terms of system parameters such as the number of nodes and channels and the tuning latency. Accordingly, we show that it is possible to appropriately dimension the network to minimize the effects of even large values of the tuning latency