一种基于5G云接入网络架构下的能耗获取方法

给出一种5G云接入网架构下能耗“读取/获取”的具体方式,通过“采集-存储-读取-计算”几个步骤,新增采集装置、计算装置及数据库几个功能单元,解决了按照预设时间周期,对目标网络子单元进行灵活的能耗读取S/获取问题,能够按需、灵活“输出”云接入无线接入网各子单元的能耗数据;能够配合现有技术,实现CU及DU网络子单元的能效评估。     

高海拔寒冷地区LTE接入网能效评估与节能研究

流量爆炸式增长导致空口带宽和LTE基站数量激增,网络规模扩大导致能耗逐年上升.对无线网络能效进行测算与评估,提高网络能源使用效率,显著降低网络能耗,成为业界的研究重点.针对现有能效测算方法的不足,提出基于绿色无线通信技术的网络能效评估与测算体系和能耗结构模型,并就四川高海拔寒冷地区LTE接入网络的特征、主要节能技术应用进行探讨.     

无线网络能效的优化与评估

文章从能效测度入手,对已有的无线网络能效测度评价体系进行了讨论,并提出以碳排放量为标准和与网络负载相结合的能效测度模型。在能效测度模型的基础上,文章提出减少设备使用、无线资源调度、节点协作等一系列无线网络能效优化方法,并建议在无线网络协议架构中加入能效监控和能效评估模块。文章还对无线网络能效优化和评估方法中存在的技术挑战进行了展望。     

有线网络的单位信息流量综合能耗下降率指标模型分析

随着有线网络的节能工作开展,对有线网络的节能考核指标,除了综合能耗控制目标以外,还需要考虑能反映有线网络能效的指标,即单位信息流量综合能耗。本文介绍了有线网络的单位信息流量综合能耗下降率指标模型,以及"十二五"期间该指标的走势分析。     

面向"双碳"的5G网络节能技术

基于“双碳”大背景下的网络能耗降低课题,深入洞察网络能耗各部分占比,最终聚焦在占比较大的基站天线单元的能耗降低。进一步地,基于基站能耗模型以及兼顾网络能效和系统性能的评估方法论,介绍和分析了多种网络节能技术,具体包括时域关断、空域通道关断、频域扩展和功率回退,并结合评估结果说明了各技术方向的潜在增益空间。此外,还进一步考虑了其他维度的节能技术,如多站组网节能、辅助信息和功率效率提升等节能手段。     

浅谈5G网络技术特点及无线网络规划分析

作为新一代无线网络通信技术,5G网络相较于以往的通信技术而言在信号稳定性、数据传输速度方面有了质的飞跃,该技术主要用于满足2020年之后的各方面通信需求,目前5G网络技术及网络规划已经成为了全球性的热点话题。由于5G网络具有高灵活性特征,运营商可对网络资源根据流量动态变化合理调整,在实时调配下显著降低不必要资源消耗,实现资源高效应用。文章首先分析了5G网络的技术特点,并在此基础上针对应用5G网络后无线网络的合理规划展开讨论。     

基于边缘云计算的光纤无线网络优化设计

为了提升网络边缘数据处理能力,满足终端大带宽和低时延的要求,构建了基于边缘基础设施的云计算平台,设计了具有动态带宽调整的光纤网络模型。提出了一种基于边缘云计算的时序优化算法,并将其应用于光纤无线网络。通过OPNET软件仿真分析了时序优化算法的传输时延均值,结果显示,优化后最大时延为43.1 ms,仅为传统方法的34.2%。实验对局域网内多个终端之间的数据通信进行分析,讨论了三种算法的传输能效、光纤信道利用率及传输能耗。实验结果显示,采用时序优化算法的测试结果具有明显改善,其传输能效提升了近1倍,边缘云数据传输时延均值信道利用率提升了约6.2%,网络传输能耗均值最优。该光纤无线网络模型及其优化算法在传输时延、信道利用率以及网络能耗方面具有明显提升。其在提升光纤通信链路选择及边缘端数据交互中具有一定的优势。     

支持ONU模块独立不连续收发数据的节能方法

为有效解决绿色无源光网络中的节能效果与时延性能的矛盾,提出一种支持ONU模块独立不连续收发数据的节能方法。通过光网络单元的模块化,各能耗模块独立地切换睡眠或唤醒模式,从而在规定时隙内实现不连续地收发数据;通过子周期划分,将实时业务集中到第一个子周期内收发,提升了网络的总体服务质量;提出完全独立的上下行带宽分配算法,使所提方法在流量上下行不对称的应用场景更具优势。仿真表明,所提方法在保证业务时延性能的前提下,网络的能耗得到进一步降低。     

Ad Hoc网络中MAC接入机制的研究与仿真

随着无线网络的迅速发展,网络上的业务流量与日俱增,如何保证无线网络上实时业务的服务质量问题也越来越突出。本文分析了802.11e协议的MAC接入机制,并仿真分析了在音频、视频和数据三种业务下无线网络的吞吐量和时延网络性能。仿真结果表明该协议对无线网络上的语音和多媒体应用有一定的服务质量保证。     

通信网络能效度量及优化方法

虽然网络在提高众多行业能效的过程中起到了非常重要的作用,但随着互联网用户、业务和应用的迅猛发展,网络能耗逐年增加,已经威胁网络运营商的可持续发展。主要探讨了网络运营企业面临的能耗风险,介绍了能耗度量和优化方法研究方面取得的进展。最后,总结了在新型网络研究中提高网络能效的相应事宜。     

面向混合业务的无线传感器网络能量有效接入策略

研究了在实时业务和非实时业务同时存在的混合背景下,非实时业务的无线传感器节点自适应侦听和睡眠的动态接入机制。网络节点处于睡眠状态时所需的能量很低,节约了无线传感器网络节点的平均能量消耗;但是,过长的睡眠时间可能使得网络节点错失传输机会。因此,根据信道的使用情况,合理地设定无线传感器网络节点的睡眠时间,能够在网络能量消耗和传输效率之间进行调整,从而最大化无线传感器网络的能量传输效率。首先,利用连续时间 Markov 方法对问题进行建模,并利用基于摄动分析理论对系统模型进行分析,获得求解无线传感器网络能量效率最大化的最优睡眠时间梯度算法。最后通过理论结果和计算机仿真模拟的对比,验证了推荐方法的可行性。     

Balance energy-efficient and real-time with reliable communication protocol for wireless sensor network

In many wireless sensor network applications, it should be considered that how to trade off the inherent conflict between energy efficient communication and desired quality of service such as real-time and reliability of transportation. In this paper, a novel routing protocols named balance energy-efficient and real-time with reliable communication (BERR) for wireless sensor networks (WSNs) are proposed, which considers the joint performances of real-time, energy efficiency and reliability. In BERR, a node, which is preparing to transmit data packets to sink node, estimates the energy cost, hop count value to sink node and reliability using local information gained from neighbor nodes. BERR considers not only each sender’ energy level but also that of its neighbor nodes, so that the better energy conditions a node has, the more probability it will be to be chosen as the next relay node. To enhance real-time delivery, it will choose the node with smaller hop count value to sink node as the possible relay candidate. To improve reliability, it adopts retransmission mechanism. Simulation results show that BERR has better performances in term of energy consumption, network lifetime, reliability and small transmitting delay.     

无线传感器网络中数据融合对分簇网络寿命的影响

低成本、低能耗和高效益是无线传感器网络研究的核心问题,也是其网络性能重要参数,提高能量有效性是无线传感器网络设计的主要目标之一,有效利用传感器节点来延长网络寿命是近期研究的热点,研究了无线传感器网络中部分相关数据的数据融合对分簇网络的影响,研究结果表明节点的能量消耗在很大程度上取决于节点的位置,网络的总能量消耗与寿命之间有一个折中.     

A novel antenna allocation technique for green single cell MIMO and MIMO-CoMP downlink transmission

To meet the increasing traffic and energy consumption demands of wireless networks, energy efficiency and energy efficient transmission techniques have become an urgent need for cellular networks. In this work, the problem of base station (BS) power consumption reduction for increased network energy efficiency of downlink TDMA-based transmission is considered. To meet network’s high traffic demand due to high data rates required by large numbers of users, multiple-input multiple-output (MIMO) and coordinated multi-point (CoMP) transmission have been considered. By adopting realistic power consumption models for single cell MIMO and multi-cell MIMO-CoMP networks, enhanced antenna allocation techniques are proposed and their energy efficiency is compared to the conventional power allocation schemes. It is shown that for a target signal to interference plus noise ratio (SINR), the proposed techniques consume less total power compared to traditional schemes, which leads to higher energy efficiency. In addition, for same power level, the symbol error rate (SER) is reduced and system’s sum rate increases, which leads to higher spectral efficiency.     

基于多门限预留机制的自适应带宽分配算法

针对异构无线网络融合环境提出了一种基于多门限预留机制的自适应带宽分配算法,从而为多业务提供QoS保证。该算法采用多宿主传输机制,通过预设各个网络中不同业务的带宽分配门限,并基于各个网络中不同业务和用户的带宽分配矩阵,根据业务k支持的传输速率等级需求和网络状态的变化,将自适应带宽分配问题转化为一个动态优化问题并采用迭代方法来求解,在得到各个网络中不同业务和用户优化的带宽分配矩阵的同时,在带宽预留门限和网络容量的约束条件下实现网络实时吞吐量的最大化,以提高整个异构网络带宽的利用效率。数值仿真结果显示,所提算法能够支持满足QoS需求的传输速率等级,减小了新用户接入异构网络的阻塞概率,提高了平均用户接入率并将网络吞吐量最大提高40%。     

基于能量均衡的无线传感器网络路由算法

为了提高无线传感器网络的生存时间,针对当前LEACH算法存在的能量不均衡难题,提出一种能量均衡的无线传感器网络节点路由算法。首先将监测区域看成以基站为中心的扇形区域,并将扇形区域分割成不同大小的弧形方块,每个弧形方块中的节点组成一个簇,根据节点剩余能量产生簇头,然后采用单跳和多跳相结合的簇间通信机制,最后采用仿真实验测试算法的性能。结果表明,本文算法有效提高了网络的能量利用率,能够实现节点之间的能耗均衡,使无线传感器的网络生存时间得到延长,适用于对网络生命周期要求较高的应用。     

面向“双碳”战略的绿色通信与网络：挑战与对策

面向国家“碳达峰”与“碳中和”的“双碳”战略需求,移动通信与网络需要在满足不断增长的业务需求前提下大幅度降低全网能耗,因此需要研究使用更少的能量传递更多信息（SMILE, send more information bits with less energy）的理论与技术。为了应对该挑战,仅靠无线传输技术的改进和硬件实现水平的提高是远远不够的,需要从系统和网络的角度探索能量的高效利用机理与方法。从能量的“节流”和“开源”2个维度展开,并针对日益增长的计算能耗给出解决方案。具体地,通过引入超蜂窝网络架构实现网络的柔性覆盖与弹性接入,使业务基站和边缘服务器在业务量较低时可以进入休眠状态,减少能量的浪费（即“节流”）。同时,大量引入可再生绿色能源（即“开源”）,通过能量流与信息流的智能适配,大幅降低电网的能耗。进一步地,通过网络功能虚拟化、通信与计算资源的高能效协同,以及移动智能体的分布式计算与协同等手段,实现绿色计算与人工智能算法。     

面向分布式缓存系统的无线资源管理:动机、挑战与方法

移动社交网络平台的多元化发展与推广,使得移动用户对数据传输的需求呈爆发式增长趋势,并对匮乏的频谱资源及高负荷基站的管理提出了新挑战.为了解决这些问题,将分布式缓存系统引入无线协作网络中,鼓励移动用户间协作缓存热门内容,以实现用户间低能耗、高可靠、低时延的内容共享,同时为基站和回程链路减负.分析了无线分布式缓存系统中无线资源管理所面临的机遇和挑战,针对频谱高效、能量高效及安全传输等关键问题,围绕图论和匹配理论对无线资源管理方法展开了讨论和总结.此外,讨论和分析了挖掘和利用社交信息有效提升无线资源效率的可行性,同时对社会学和无线网络领域的交叉研究进行了展望.     

A novel residual energy‐based distributed clustering and routing approach for performance study of wireless sensor network

Non‐uniform energy consumption during operation of a cluster‐based routing protocol for large‐scale wireless sensor networks (WSN) is major area of concern. Unbalanced energy consumption in the wireless network results in early node death and reduces the network lifetime. This is because nodes near the sink are overloaded in terms of data traffic compared with the far away nodes resulting in node deaths. In this work, a novel residual energy–based distributed clustering and routing (REDCR) protocol has been proposed, which allows multi‐hop communication based on cuckoo‐search (CS) algorithm and low‐energy adaptive‐clustering–hierarchy (LEACH) protocol. LEACH protocol allows choice of possible cluster heads by rotation at every round of data transmission by a newly developed objective function based on residual energy of the nodes. The information about the location and energy of the nodes is forwarded to the sink node where CS algorithm is implemented to choose optimal number of cluster heads and their positions in the network. This approach helps in uniform distribution of the cluster heads throughout the network and enhances the network stability. Several case studies have been performed by varying the position of the base stations and by changing the number of nodes in the area of application. The proposed REDCR protocol shows significant improvement by an average of 15% for network throughput, 25% for network scalability, 30% for network stability, 33% for residual energy conservation, and 60% for network lifetime proving this approach to be more acceptable one in near future.     

Small‐cell planning in LTE HetNet to improve energy efficiency

Cell planning is one essential operation in wireless networks, and it significantly affects system performance and cost. Many research efforts consider the cell planning problem with identical base stations (BSs) or to construct a new network on the region without any infrastructure. However, long‐term evolution (LTE) adopts heterogeneous network, which allows operators to tactically deploy small cells to enhance signal coverage and improve performance. It thus motivates us to propose a small‐cell planning problem by adaptively adding low‐powered BSs with the limitation of budget to an existing network to increase its energy efficiency, which is defined by the ratio of network throughput to the amount of energy consumption of BSs. We consider 2 types of LTE small cells, namely, microcells and picocells, and develop different clustering strategies to deploy these cells. Based on the available resource and traffic demand in each cell, we then adjust the transmitted power of the deployed BS with energy concern. Experimental results demonstrate that our small‐cell planning solution can achieve high‐energy efficiency of LTE networks, which means that BSs can better use their transmitted energy to satisfy the traffic demands of user devices. This paper contributes in proposing a practical problem for cell planning with heterogeneous network consideration and developing an efficient solution to provide green communications.