区分服务中一种基于聚集流内部公平性的标记算法

在现今异构刚络Internet,区分服务体系结构通过对不同应用和不同要求的数据流部署不同等级的服务,以提供较大粒度的服务质量(Quality of Service,QoS)保证.不同流之间的公平性问题是区分服务中的研究热点,而标记策略是提高公平性的有效方法.目前许多标记算法只考虑了聚集流之间的公平性,而忽略了聚集流内部流之间的公平性.本文针对同一个聚集流中可能包含不同类型的单个流情况(比如存在自适应TCP流和非适应UDP流、不同速率的多媒体UDP流、采用不同TCP协议的数据流、不同分组大小的数据流),提出了一种基于聚集流内部公平性的标记算法(Fair Aggregate Traffic Marker,FATM).论文构造了不同情况下的模拟场景,并给出了实验的相关参数设置.大量模拟实验结果表明:标记算法FATM在保持聚集流之间的公平性和网络吞吐量的基础上,提高聚集流内部单个流之间的公平性.     

Analysis and modeling of Internet backbone traffic with 5G/B5G

The effects that the 5th generation mobile network (5G) bring to Internet backbone were investigated qualitatively and quantitatively.First,the challenges that the characteristics of 5G,i.e.ultra-high data rate,ultra-low latency,and ultra-large number of connections,introduce to Internet backbone in terms of traffic,latency,and security were analyzed.Second,a model was proposed to capture the characteristics of 5G users and Internet traffic with the coordination of 5G,edge computing,and cloud computing.Then,numerical simulations were used to evaluate the model.The QoS requirements that Internet backbone faces under different extent of 5G deployment were evaluated.According to the study,increment of backbone traffic,increment of the ratio of propagation delay,and movement of bandwidth bottleneck are predicted after 5G/B5G deployment.     

4G与5G网络互操作部署策略研究

未来4G与5G网络将会长期共存,共同发展,运营商在整个网络建设过程中需重点考虑4G与5G制式共存下的系统间的互操作。因此,本文根据3GPP Rel-15标准要求,讨论了融合网元部署策略、N26接口开启策略、语音方案选择、切换方案选择等4G/5G互操作过程中面临的关键问题, 分析出4/5G网络共存下互操作关键部署策略,为后续运营商在网络演进中选择部署策略提供参考。     

面向5G无线网络的智能干扰管理技术

作为5G关键技术之一的超密集组网是满足未来千倍数据流量需求的主要手段.然而,网络密集化部署将导致严重的干扰问题,因此干扰管理是5G超密集网络中的重要研究课题.首先从规避及利用两个方面归纳总结现有的干扰管理算法.其次,为了更好地适应未来5G无线网络智能化、异构化的发展趋势,提出了一种智能的无线网络干扰管理体系,实现了无线网络环境与干扰管理的动态紧耦合.最后,从干扰管理与资源管理的本质联系这一角度出发,介绍了3种联合异构网络资源的新型干扰管理算法,有效实现了网络资源的高效利用和网络容量的提升.     

Perspectives for resource sharing in 5G networks

In an Internet of Things environment, where multiple mobile devices are brought together, it is not always possible to serve all these devices simultaneously. We developed an intelligent Time Division Multiple Access (TDMA) scheduler which allows to plan the individual packets of the different streams in such a way that everyone can be served by taking into account the interference on the physical layer. The scheduler is applied in a realistic industrial environment and evaluated based on the maximum link latency, the channel occupancy, and the jitter. Two strategies are compared: one where the packets are sequentially allocated, and one periodically. Our results show that the periodically allocated strategy performs the best for the maximum link latency (for a packet size below 1200 bytes) and for the jitter. The channel occupancy is similar for both strategies. Furthermore, the performance can be improved by using a higher number of channels. Compared to classic Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA), the channel occupancy and the jitter are reduced up to 69.9 and 99.9%, respectively. Considering the maximum link latency, the proposed TDMA strategies perform significantly better than the worst case CSMA/CA (up to 99.8%), however, when assuming a best case CSMA/CA scenario, CSMA/CA performs better. Furthermore, we clearly show that there are cases where it is not possible to plan all streams when using CSMA/CA while this becomes feasible when applying the proposed TDMA strategies.     

Distributed multi-tenant RAN slicing in 5G networks

Wireless Networks - Network slicing is a promising technology in 5G networks. The key concept is to divide the physical network into multiple logical networks, that are tailored to fulfill diverse...     

Modelling and simulation of B3G multi-service traffic in the presence of mobility

A multi-service traffic model is proposed, and its validation is achieved by using event-based simulation results which consider the burstiness of traffic. By considering the deployment scenarios and tele-traffic parameters from the Vehicular scenario of IST-SEACORN, a simulator was produced to extract conclusions about blocking and handover failure probabilities. Simulations, were performed for different cases, from single- to multi-service situations, and from absence to presence of mobility. Besides results for the quality of service in the air interface, including blocking and handover failure probabilities for several types of traffic, the simulator allows for extracting conclusions about the validation of the Bernoulli/Poisson/Pascal model for the computation of the on/off blocking probability, the ratio between the number of session rejected at the beginning of an on period and the total number of bursts generated during a session. In the single-service case, the theoretical and the experimental values of on/off blocking probability are close to each other. An almost perfect concordance between theoretical and simulation values is verified when the average sojourn time in cells is equal to the average holding time. In the multi-service case, although the results are not exactly coincident a coherent behaviour is achieved for an average traffic per user up to 0.06 Erl.     

面向5G的小蜂窝网络研究综述

超密集组网的小蜂窝网络将是解决人们对更高无线通信服务需求的重要技术。总结了5G的发展愿景及对应的关键技术,分析了小蜂窝网络在未来无线通信系统中所承担的重要作用和面临的挑战,并给出了对应的解决思路,提出了解决认知小蜂窝网络与宏网络共存时上/下行通信所面临问题的解决方案。相关内容和建议可为小蜂窝网络的进一步发展提供明确的参考。     

5G网络中异构无线网络和云架构研究

一种应对5G通信中无线流量爆炸的方法,是部署大量小蜂窝来生成异构无线网络(Het Nets)。Het Nets除传统的宏蜂窝外,其蜂窝由发射功率较低的小蜂窝组成。通过部署低功率小型基站,网络容量得到了改善,覆盖范围也扩大到覆盖漏洞。此外,所有小型、微微、毫微微蜂窝与现有宏蜂窝的重叠,导致频率复用的改善和有效性的提高。文章讨论了5G网络中Het Nets的现状,云无线接入网络(C-RAN)和异构C-RAN(H-CRAN),C-RAN的试验和H-CRAN的提案。     

Performance analysis for 5G beamforming heterogeneous networks

Wireless Networks - The heterogeneous network (HetNet) is an attractive solution to solve limited spectral efficiency, the increasing traffic demands, and crowded coverage. In 5G, massive...     

Smart heterogeneous networks: a 5G paradigm

An exponential growth in data demand on wireless networks and wireless link capacity approaching its theoretical limits, bound us to find new solutions and innovative network designs to handle the enormous amount of traffic. In this paper, we discuss long term evolution-advance (LTE-A) heterogeneous networks (HetNets) being a most effective solution to break this wireless cellular capacity crunch. LTE-A HetNets provide adequate increase in capacity by utilizing multi-tier architecture consisting of different type of cells i.e macro cell, small cell, relay and device to device. However this increase in capacity comes with certain challenges in HetNets outlined in this article. Considering inter cell interference coordination (ICIC) as biggest challenge in LTE-A HetNets, this article surveys state of the art LTE-A HetNets deployments with focus on ICIC. Effective ICIC techniques allow further substantial capacity increase. We give state of the art ICIC on air-interface as well as backhaul strategies for effective ICIC in LTE-A HetNets. Operators perspective of LTE-A HetNets with some insight to future of 5G LTE-A HetNets is provided. We also provide simulation results to show how LTE-A HetNets lead to realize ambitious targets of 5G technology in terms of capacity.     

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。     

Application of TSVR algorithm in 5G mmWave indoor networks

A robust algorithm based on Twin Support Vector Regression and discrete wavelet transform applied to millimetric wave (mmWave) channel prediction is proposed in this work. The 60 GHz band is appropriate for small-scale high-speed data transmission applications in future 5G indoor network solutions. The experimentation takes place in an enclosed complex conference room setting with furniture and computer equipment. The proposed algorithm is applied to mmWave multipath channel with higher order modulation scheme with receiver sensitivity thresholds being ? 80 dBm, ? 90 dBm, ? 100 dBm and ? 110 dBm corresponding to 41, 89, 195 and 250 paths, respectively. The Channel Impulse Response of 60 GHz multipath wireless system is generated by the “Wireless InSite” ray tracer by Remcom. Compared to other traditional algorithms, numeric experiments confirm the effectiveness of the proposed solution under several multipath configurations.

     

无线频谱资源分配在5G网络中的进展分析

随着现代网络技术的高速发展,现代移动通信的触角已经开始逐步延伸到5G时代,无线频谱也相应的得到了更深层次的应用和发展,尤其是在资源分配方面.由于频谱资源分配受多种因素的影响,因此在实际运用过程中必须对其做进一步的研究.对此,本文将系统的分析和探讨无线频谱资源分配在5G网络中的发展.     

5G智慧校园业务场景中MEC分流方案研究

多接入边缘计算(multi-access edge computing,MEC)技术是5G关键技术之一,通过通信与计算技术融合,实现业务本地化及近距离部署。当前,5G智慧校园催生出诸多新的应用场景,其建设的关键是如何将用户数据分流至MEC平台,实现技术与业务的深度融合。首先,介绍了5G智慧校园整体架构;然后,阐述了3种本地分流技术及其优、缺点,探讨了智慧校园中校内资源访问、电子资源访问、智慧教学和校园安防监控4种业务场景分流方案的选择,以期为即将到来的5G智慧校园专网建设提供理论支撑。     

Multi-layer neural network algorithm for vehicle-to-everything communication in 5G networks

Internet of Vehicles (IoVs), the emerging trend of Internet of Things (IoTs), has undoubtedly become a promising trend to improve communication among vehicles on the roads. Vehicle-to-everything (V2X) communication that is based on 5G technology enables vehicle users to communicate and collaborate with each other to enhance road traffic efficiency and safety. Owing to the increased traffic load and restricted resources of existing network substructure, a channel that responds to the latency and reliability needs of V2X communication must be designed. Thereby, several intelligent spectrum allocation techniques have been proposed to improve the system's overall effectiveness. In this paper, we discuss the spectrum sharing issue of V2X communication in Device-to-Device (D2D)-based cellular networks. We propose a new multi-layer neural network (MLNN)-based Resource Allocation and sharing approach (MNNRA) for D2D-based V2X communications. According to the main advantages of MLNN, the proposed algorithm takes several profits by improving system performance while reducing computational complexity. Numerical analysis is presented to approve the effectiveness of our proposed solution in terms of network sum rate, packet reception ratio, resource utilization ratio, and time complexity.     

Resilient BBU placement in 5G C-RAN over optical aggregation networks

Photonic Network Communications - The huge data demand envisioned for the 5G requires radical changes in the mobile network architecture and technology. Centralized radio access network (C-RAN) is...     

Optimal management of reusable functional blocks in 5G superfluid networks

We consider the problem of managing a 5G network composed of virtualized entities, called reusable functional blocks (RFBs), as proposed by the Horizon 2020 SUPERFLUIDITY project. The RFBs are used to decompose network functions and services and are deployed on top of physical nodes, in order to realize the 5G functionalities. After formally modeling the RFBs in a 5G network, as well as the physical nodes hosting them, we formulate the problem of managing the 5G network through the RFBs, in order to satisfy different key performance indicators to users. In particular, we focus either on the maximization of the amount of downlink throughput sent to users or on the minimization of the number of powered‐on physical nodes. We then consider different scenarios to evaluate the proposed formulations. Our results show that, when an RFB‐based approach is put into place, a high level of flexibility and dynamicity is achieved. In particular, the RFBs can be shared, moved, and rearranged based on the network conditions. As a result, the downlink throughput can be extremely high, ie, more than 150 Mbps per user on average when the throughput maximization is pursued and more than 100 Mbps on average when the goal is the minimization of the number of powered‐on physical nodes.     

Neural networks applied to traffic management in telephone networks

In this paper the application of neural networks to some of the network management tasks carried out in a regional Bell telephone company is described. Network managers monitor the telephone network for abnormal conditions and have the ability to place controls in the network to improve traffic flow. Conclusions are drawn regarding the utility and effectiveness of the neural networks in automating the network management tasks     

Neural networks for adaptive traffic control in ATM networks

Neural networks (NNs) have several valuable properties for implementing ATM traffic control. The authors present NN-based solutions for two problems arising in connection admission control, affecting the grade of service (GOS) at both the cell and call levels, and propose that neural networks may increase the network throughput and revenue