密集场景下家庭基站间的资源分配新方案

家庭基站的引入是为了改善室内覆盖,然而,随着家庭基站布置得越来越密集,家庭基站之间的干扰已经严重阻碍了系统性能的进一步提升。为此,利用图论的知识,将小区间互干扰信息建模为带权重的双向干扰图,并在此基础上提出一种低复杂度的资源分配方案,用于解决密集场景下用户随机分布时的家庭基站间的干扰控制问题。仿真结果表明,该算法能有效抑制小区间干扰,获得较高的频谱效率和较大的满意用户数。     

一种基站可移动传感器网络再编程协议

 本文针对基站可移动传感器网络实现了一再编程协议MovPro.该协议可以将新的二进制程序通过多跳的形式下发到网络内的节点上并使之运行.该协议的大致过程描述为,当基站在网络内移动时,基站将数据发送给它移动轨迹上的节点.节点收到部分二进制代码后通过窗口交换的形式将二进制代码传播到整个网络.MovPro是第一个在基站可移动传感器网络的真实系统.本文通过多种方式减少通信开销,并通过二级存储的方式减少外部flash的写次数.实验表明MovPro适用于基站可移动传感器网络.     

基于图论的认知卫星通信频谱资源分配研究

针对认知用户在多重卫星异构网络覆盖条件下的资源分配问题,研究了基于图论的认知卫星通信系统资源分配算法。构建了基于多认知用户的认知卫星通信系统模型,分析了模型的层次结构和资源分配流程;在引入用户优先级和网络收益等因素的基础上,提出了基于图论的资源分配改进算法。相关仿真结果验证了改进算法的有效性,为认知卫星通信系统频谱资源分配提供了理论依据。     

可移动基站的配置和应用

介绍了可移动基站的特点和优势,可移动基站的基本配置。采用不用固定方式的机房和天线支撑杆,可移动基站应用于城市中心区、城中村改造、城市特殊区域、景区、重大活动、突发事件等多种场合。     

基于柔性QoS的资源动态分配策略研究

本文在对QoS的柔性,描述和评价方法进行研究的基础上,针对频率资源有限的无线ATM网,提出了利用QoS的柔性在业务过程中对频率资源进行动态分配的方案和算法,并进行了实验仿真,结果表明利用QoS的柔性动态分配频率资源可以提高资源的利用率。     

基于干扰图的家庭基站分簇频谱分配算法

为了减小宏用户和家庭基站之间的干扰,有效分配频谱,本文提出了基于图论着色的分簇信道分配算法。该算法在保证满足宏用户信干噪比(signal-to-interference plus noise ratio,SINR)要求的前提下确定每个家庭基站可用的子信道集,再根据构造的家庭基站系统干扰图,动态地给每个用户分配所有可用的频谱资源。本文分别构建无向干扰图和有向权重干扰图,使用了一种基于簇的改进算法,在保证宏用户信干噪比的条件下,尽量提高家庭基站的吞吐量。仿真结果表明,本文算法可以降低宏用户和家庭基站的中断率,同时频谱效率得到提高。     

无线基站的选址方法研究

从分析无线基站选址和部署原则着手,阐述了基站选址应该考虑的问题和着重点,研究了无线基站选址方法,并在原有拓扑结构基础之上提出了新的覆盖模型,给出了覆盖半径调整后目标区域的覆盖率计算公式。该模型克服了过去简单地把基站区域等效为正六边形的固有观念,为新建网络的站点规划提出了新思路。     

基于5G网络的城乡基站规划方法探讨

随着现代城市的快速发展,传统运营商无线网络建设中的短板和缺陷逐渐暴露,如基站建设缺乏统一规划、建设流程不完善、通信基站建设缺乏指导性和前瞻性、塔位和塔形缺乏城市规划和市容市貌联系等问题,同时随着5G时代的日益接近,上述问题越来越突出,传统运营商面临的建设压力也越来越大.为了解决以上问题,本文提出5G无线网络规划与城市总...     

移动通信基站网络建设项目管理研究

社会经济发展飞速,信息通信业紧随其上。信息通信业的发展作用在社会经济发展中的作用已经变的举足轻重。信息通信的发展对移动网络建设非常依赖,同时通信网络建设的项目管理水平也极大的影响着信息通信业。移动通信建设项目管理中的基站网络建设项目管理集项目管理的一般性质和通信网建设管理的特性与一身。在移动通信基站网络建设中应用项目管理理论,能有效调节项目管理中的各种资源,提高项目管理质量。本文主要阐述项目管理的相关内容、移动通信与网络建设的有关知识及其在移动通信网络建设项目管理中的应用。     

IET：小型基站可有效挖掘频谱资源潜力

无线频谱资源是一种不可再生的稀缺资源，随着移动互联网的快速发展以及物联网等新业务的兴起，无线频谱资源更是日趋紧张，如何提高频谱使用率以及挖掘频谱资源潜力成为人们关心的话题。     

动态关断资源栅格的异构无线网络基站节能算法

针对现有的基于载频/时隙关断的基站节能算法没有考虑异构网络之间的协同或者只考虑单一的业务与实际网络情况不相适应的问题,在异构网络环境下提出了动态关断资源栅格(RG,resource grid)的基站节能新算法——DRGSM(dynamic resource grid shut mode)算法。该算法根据网络的即时负载,当有业务接入时,动态打开RG以满足业务的QoS要求;当RG闲置时,即将其关断以实现节能。仿真结果表明,所提算法较现有的基于载频/时隙关断的基站节能算法,明显地降低了能耗,提高了节能百分比。     

车联网场景下移动边缘计算协作式资源分配策略

为了有效利用边缘云的计算资源,尽可能降低任务卸载时的平均等待时延,提出了一种满足边缘计算服务器容限阈值和任务卸载成功率约束条件下的多个边缘计算服务器相互协作的资源分配方案,通过单位时间总代价指标优化边缘计算服务器个数.将此方案建模为一个整数优化问题,之后设计了一种最小代价算法求解此优化问题,得到约束条件下的单位时间总代...     

A multi-cell graph based dynamic resource allocation scheme for multi-user wireless networks

Dynamic resource allocation being a computationally difficult problem, static spectrum management is more commonly used in large-scale networks. The combination of virtualization technologies, where powerful centralized allocation algorithms can be implemented, and recent advances in graph coloring algorithms prompts the revisiting of this view. We describe a new graph based framework to maximize the number of simultaneously communicating mobiles in a wireless network. Since the considered problem is NP-hard, we propose various heuristic algorithms and analyze their performance, in comparison with standard decentralized channel assignment strategies such as Fractional Frequency Reuse (FFR). We consider the LTE uplink and downlink with the WINNER channel as the reference model. We show that for blocking probabilities below 2%, our scheme typically increases the number of mobile users by 25%. For example with 25 base stations and 120 channels, running the resource allocation scheme takes one second on a PC and permits to increase the number of mobiles requiring one single channel each from 750 to 950, a 25% increase in efficiency compared to FFR.     

空天地一体化网络中联合地面基站选择及功率分配

针对由卫星通信网络、地面移动网络以及空中飞行平台所组成的空天地一体化网络(Hybrid Satellite-Aerial-Terrestrial Network,HSAT)下行链路的系统吞吐量问题,提出了基于多目标遗传算法的地面基站选择及功率分配算法。在这一网络中,空中飞行平台需要地面基站为其进行中继通信。因此,地面中继基站的选择和功率分配决定了系统的吞吐量。所提算法为了取得对系统吞吐量更好的优化效果,将优化系统吞吐量和满足约束条件建模成两个优化目标,通过设计特有的迭代选择过程使地面基站选择和功率分配不断优化。仿真分析表明,所提算法在保证用户最低通信需求的前提下,有效提升了系统的吞吐量。     

Radio resource allocation for interference management in mobile broadband OFDMA based networks

This paper focuses on the inter‐cell interference (ICI) management problem in the downlink channel for mobile broadband wireless OFDMA‐based systems. This subject is addressed from the standpoint of different interrelated resource allocation mechanisms operating in multi‐cell scenarios in order to exploit frequency and multi‐user diversity: ICI coordination/avoidance and adaptive subcarrier and power allocation. Even though these methods can be applied in a stand‐alone way, a significant performance improvement is achieved if they are jointly designed and operate in a combined basis. Several alternatives for mixed frequency and power ICI coordination schemes are proposed in this paper. Connected with a proper power mask‐based design, the potential gain of a flexible frequency sectorization solution, halfway between fractional/soft frequency reuse and pure frequency sectorization, is explored. The main objective is to outperform fractional/soft frequency reuse offering an attractive trade‐off between cell‐edge user data rates and average cell throughput. Proposals concerning ICI coordination/avoidance have been evaluated in combination with several heuristic adaptive subcarrier and power allocation algorithms. Copyright © 2009 John Wiley & Sons, Ltd.     

多功能基站移动终端分组数据业务研究

在GSM多功能基站的基础上增加了实现移动终端分组数据业务的功能,使得多功能基站的功能更加完善,相比于商用基站简化了终端分组数据业务实现的过程且能够在控制端对网络数据的交互进程实施管控。通过对多功能基站的系统参数配置,与终端之间的信令交互,以及对网络层的数据处理之后终端可以在多功能基站下实现分组数据业务,最后在控制终端对网络数据的交互进程进行管控。经过测试证明多功能基站系统能够有效的实现终端分组数据业务。     

Cross-layer radio resource allocation in packet CDMA wireless mobile networks

An efficient radio resource allocation scheme is crucial for guaranteeing the quality of service (QoS) requirements and fully utilizing the scarce radio resources in wireless mobile networks. Most of previous studies of radio resource allocation in traditional wireless networks concentrates on network layer connection blocking probability QoS. In this paper, we show that physical layer techniques and QoS have significant impacts on network layer QoS. We use a concept of cross-layer effective bandwidth to measure the unified radio resource usage taking into account both physical layer linear minimum-mean square error (LMMSE) receivers and varying statistical characteristics of the packet traffic in code devision multiple access (CDMA) networks. We demonstrate the similarity between traditional circuit-switched networks and packet CDMA networks, which enables rich theories developed in traditional wireless mobile networks to be used in packet CDMA networks. Moreover, since both physical layer signal-to-interference ratio (SIR) QoS and network layer connection blocking probability QoS are considered simultaneously, we can explore the tradeoff between physical layer QoS and network layer QoS in packet CDMA networks. This work is supported by Natural Science and Engineering Research Council of Canada. Please address all correspondence to Professor Vikram Krishnamurthy at the above address. Fei Yu received the Ph.D. degree in electrical engineering from the University of British Columbia in 2003. From 2002 to 2004, he was with Ericsson (in Lund, Sweden), where he worked on the research and development of dual mode UMTS/GPRS handsets. From 2005, he has been working in Silicon Valley at a start-up, where he conducts research and development in the areas of advanced wireless communication technologies and new standards. After completing the PhD, he has been a research associate in the Department of Electrical and Computer Engineering at the University of British Columbia. His research interests include cross-layer optimization, QoS provisioning and security in wireless networks. Vikram Krishnamurthy (S’90-M’91-SM’99-F’05) was born in 1966. He received his bachelor’s degree from the University of Auckland, New Zealand in 1988, and Ph.D. from the Australian National University, Canberra, in 1992. Since 2002, he has been a professor and Canada Research Chair at the Department of Electrical Engineering, University of British Columbia, Vancouver, Canada. Prior to this he was a chaired professor at the Department of Electrical and Electronic Engineering, University of Melbourne, Australia. His research interests span several areas including ion channels and nanobiology, stochastic scheduling and control, statistical signal processing and wireless telecommunications. Dr. Krishnamurthy has served as associate editor for IEEE Transactions on Signal Processing, IEEE Transactions Aerospace and Electronic Systems, IEEE Transactions Nanobioscience, IEEE Transactions Circuits and Systems II, Systems and Control Letters and European Journal of Applied Signal Processing. He was guest editor of a special issue of IEEE Transactions on NanoBioScience, March 2005 on bio-nanotubes.     

Energy‐aware cross‐layer resource allocation in mobile cloud

This paper proposed an energy‐aware cross‐layer mobile cloud resource allocation approach. In this paper, a hybrid cloud architecture is adopted for provisioning mobile service to mobile device users, which include nearby local cloud and remote public cloud. The computation‐intensive tasks can be processed by the remote public cloud, while the delay‐sensitive computation can be processed by the nearby local cloud. On the basis of the system context and mobile user preferences, the energy‐aware cross‐layer mobile cloud resource allocation approach can optimize the consumption of cloud resource and system performance. The cooperation and collaboration among local cloud agent, public cloud supplier, and mobile cloud user are regulated through the economic approach. The energy‐aware cross‐layer mobile cloud resource allocation is performed on the local cloud level and the public cloud level, which comprehensively considers the benefits of all participants. The energy‐aware cross‐layer mobile cloud resource allocation algorithm is proposed, which is evaluated in the experiment environment, and comparison results and analysis are discussed.     

光因特网中动态综合考虑的资源分配算法

该文研究了光因特网络中的动态资源分配问题，提出了基于分层图模型的路由选择和波长分配算法。对于动态变化的业务到达请求，如果在已有的基于IP级的逻辑拓扑上不能有效建立，则需要为该请求按算法分配资源，即解决路由选择和波长分配问题。由于该文算法将IP层和光层综合进行考虑，所以能大大提高资源利用的有效性，取得较好的阻塞性能。仿真结果表明，该算法既能选择比较短的路由，又能使网络取得较低的阻塞率。