On Network MIMO:Base Station Coordination

"Network MIMO" is implemented to eliminate intercell interference and improve spectral efficiency.Several system models are introduced here and synchronous and asynchronous interference are considered.This paper also has a look on the algorithms on the uplink decoding and downlink precoding in network MIMO with base station coordination.Two levels of base station coordination and cellular backhaul are presented,too.

Rule Based Collector Station Selection Scheme for Lossless Data Transmission in Underground Sensor Networks

There are fundamentally two different communication media in wireless underground sensor networks. The first of these is a solid medium where the sensor nodes are buried underground and wirelessly transmit data from underground to aboveground. The second is an underground medium such as tunnel, cave etc. and the data is transmitted from underground to the aboveground through partially solid medium. The quality of communication is greatly influenced by the humidity of the soil in both environments. The placement of wireless underground sensor nodes at hard-to-reach locations makes energy efficient work compulsory. In this paper, rule based collector station selection scheme is proposed for lossless data transmission in underground sensor networks. In order for sensor nodes to transmit energy-efficient lossless data, rulebased selection operations are carried out with the help of fuzzy logic. The proposed wireless underground sensor network is simulated using Riverbed software, and fuzzy logic-based selection scheme is implemented utilizing Matlab software. In order to evaluate the performance of the sensor network;the parameters of delay, throughput and energy consumption are investigated. Examining performance evaluation results, it is seen that average delay and maximum throughput are accomplished in the proposed underground sensor network. Under these conditions, it has been shown that the most appropriate collector station selection decision is made with the aim of minimizing energy consumption.

A Dynamic Distributed Spectrum Allocation Mechanism Based on Game Model in Fog Radio Access Networks

With the explosive growth of highspeed wireless data demand and the number of mobile devices, fog radio access networks(F-RAN) with multi-layer network structure becomes a hot topic in recent research. Meanwhile, due to the rapid growth of mobile communication traffic, high cost and the scarcity of wireless resources, it is especially important to develop an efficient radio resource management mechanism. In this paper, we focus on the shortcomings of resource waste, and we consider the actual situation of base station dynamic coverage and user requirements. We propose a spectrum pricing and allocation scheme based on Stackelberg game model under F-RAN framework, realizing the allocation of resource on demand. This scheme studies the double game between the users and the operators, as well as between the traditional operators and the virtual operators, maximizing the profits of the operators. At the same time, spectrum reuse technology is adopted to improve the utilization of network resource. By analyzing the simulation results, it is verified that our proposed scheme can not only avoid resource waste, but also effectively improve the operator's revenue efficiency and overall network resource utilization.

Mean Territorial Energy Based Clustering Protocol for Randomly Deployed Wireless Sensor Networks

Clustering algorithms can balance the power consumption of energy constraint wireless sensor networks. This paper proposes a new clustering protocol called Mean Territorial Energy Based Clustering Protocol (MTEP) for randomly deployed wireless sensor networks. In MTEP, cluster heads are selected according to residual energy and location information of a node in current round as well as mean territorial energy and total base station distance of node’s corresponding cluster territory in previous round. Energy consumption in conventional protocols becomes unbalanced because of clusters having different lengths. Proposed MTEP protocol addresses this problem by setting thresholds on cluster length and node to cluster head distance for producing equal length clusters. Simulation results show that MTEP protocol extends network lifetime and stability with reduction in energy dissipation compared to other clustering protocols such as LEACH and REAC.

Antenna and Base-Station Diversity for WSN Livestock Monitoring

Antenna and base-station diversity have been applied to a wireless sensor network for the monitoring of live-stock. A field trial has been described and the advantage to be gained in a practical environment has been assessed.

基于大数据和无线网络的采摘机器人定位技术研究

分析了5G无线网络定位原理,提出了单基站定位技术和加权质心的5G定位技术,设计了采摘机器人定位系统硬件部分,并基于大数据和无线网络实现了采摘机器人定位系统。试验结果表明:系统具有较好的定位精度,优于单基站定位方法精度,且其定位曲线与北斗定位设备曲线拟合度非常高,稳定性较好。

TP80共享 BCM—Ⅲ的 DBASE—Ⅱ数据库

本文讨论了TP801在局域网中共享DBASEⅡ数据库的一种方法.以提高计算机资源的利用率和单板机TP801的功能,为生产过程参数的实时打印报表提供了一个实用工具。

The New Architecture with Time-Spatial Consistency for 5G Networks

While operators have started deploying fourth generation(4G) wireless communication systems,which could provide up to1 Gbps downlink peak data rate,the improved system capacity is still insufficient to meet the drastically increasing demand of mobile users over the next decade.The main causes of the above-mentioned phenomenon include the following two aspects:1) the growth rate of the network capacity is far below that of user's demand,and 2) the relatively deterministic wireless access network(WAN) architecture in the existing systems cannot accommodate the prominent increase of mobile traffic with space-time domain dynamics.In order to address the above-mentioned challenges,we investigate the time-spatial consistency architecture for the future WAN,whilst emphasizing the critical roles of some spectral-efficient techniques such as Massive multiple-input multiple-output(MIMO),full-duplex(FD)operation and heterogeneous networks(HetNets).Furthermore,the energy efficiency(EE)of the HetNets under the proposed architecture is also evaluated,showing that the proposed user-selected uplink power control algorithm outperforms the traditional stochastic-scheduling strategy in terms of both capacity and EE in a two-tier HetNet.The other critical issues,including the tidal effect,the temporal failure owing to the instantaneously increased traffic,and the network wide load-balancing problem,etc.,are also anticipated to be addressed in the proposed architecture.(Abstract)

ANCAEE: A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks

One of the major constraints of wireless sensor networks is limited energy available to sensor nodes because of the small size of the batteries they use as source of power. Clustering is one of the routing techniques that have been using to minimize sensor nodes’ energy consumption during operation. In this paper, A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks (ANCAEE) has been proposed. The algorithm achieves good performance in terms of minimizing energy consumption during data transmission and energy consumptions are distributed uniformly among all nodes. ANCAEE uses a new method of clusters formation and election of cluster heads. The algorithm ensures that a node transmits its data to the cluster head with a single hop transmission and cluster heads forward their data to the base station with multi-hop transmissions. Simulation results show that our approach consumes less energy and effectively extends network utilization.

Topology Control and Routing in Large Scale Wireless Sensor Networks

In this paper, a two-tiered Wireless Sensor Network (WSN) where nodes are divided into clusters and nodes forward data to base stations through cluster heads is considered. To maximize the network lifetime, two energy efficient approaches are investigated. We first propose an approach that optimally locates the base stations within the network so that the distance between each cluster head and its closest base station is decreased. Then, a routing technique is developed to arrange the communication between cluster heads toward the base stations in order to guaranty that the gathered information effectively and efficiently reach the application. The overall dynamic framework that combines the above two schemes is described and evaluated. The experimental performance evaluation demonstrates the efficacy of topology control as a vital process to maximize the network lifetime of WSNs.

Energy Optimisation in Wireless Sensor Network

The solution we propose optimizes the energy inside the wireless sensor network (WSN) with higher performance. The WSN is composed of many sensors nodes which collect the information, treat that information then send it to the base station. The information is received by the base station (BS) then data?are?sent to the users by that BS. The most important element in sensor node is energy, as the lifetime of wireless sensor network depends on the sensor node energy. So many researches had been made in order to improve this energy basing routing protocols. As a result, we are able to propose a solution that optimizes this energy. In this paper, we are presenting a new approach of selecting node sensor base on routing protocol and process to send data to the base station. This ameliorates wireless sensor network lifetime and increases?the transmission sensor node to base station.

一种矿用本安型自组网基站设计

针对灾后矿井下通信链路中断,救援人员信息无法互通的问题,设计1种矿用本安型自组网基站;设备基于SDR平台,采用FPGA+ADIAD9361+本质安全电路的方案,利用无线Mesh网络技术的无线多跳、自组织和强自愈能力,在矿井下供电、通信系统都被摧毁的环境下,能够快速、方便地组建无线通信网络,同时为矿井下的手持终端、矿用布控球、矿用信息记录仪等终端设备提供无线覆盖,实现事故现场与前方指挥部的信息互通。测试结果表明:基站具有自备电源、安全系数高、体积小、质量轻、功耗小等优点,2.4 GHz和1.4 GHz双频段无线组网,多跳能力为视频6~8跳,单跳传输距离大于200 m,单跳传输时延小于7 ms,功耗小于15 W,可连续工作4.5 h,可解决矿山各种事故灾害应急救援过程中遇到的通信问题。

A Review in the Core Technologies of 5G: Device-to-Device Communication, Multi-Access Edge Computing and Network Function Virtualization

5G is a new generation of mobile networking that aims to achieve unparalleled speed and performance. To accomplish this, three technologies, Device-to-Device communication (D2D), multi-access edge computing (MEC) and network function virtualization (NFV) with ClickOS, have been a significant part of 5G, and this paper mainly discusses them. D2D enables direct communication between devices without the relay of base station. In 5G, a two-tier cellular network composed of traditional cellular network system and D2D is an efficient method for realizing high-speed communication. MEC unloads work from end devices and clouds platforms to widespread nodes, and connects the nodes together with outside devices and third-party providers, in order to diminish the overloading effect on any device caused by enormous applications and improve users’ quality of experience (QoE). There is also a NFV method in order to fulfill the 5G requirements. In this part, an optimized virtual machine for middle-boxes named ClickOS is introduced, and it is evaluated in several aspects. Some middle boxes are being implemented in the ClickOS and proved to have outstanding performances.

5G/B5G异构网络切换过程分析和移动性管理解决方案

有效的移动性管理对于确保5G异构网络预期的QoS和QoE至关重要。切换过程在移动性管理中起着至关重要的作用。在此过程中的故障可能会对5G通信网络的可靠性、稳定性和连接性产生不利影响。对5G HetNet的切换过程进行了分析,包括5G切换过程步骤、5G HetNet的三层切换、5G HetNet的关键切换参数。此外,针对具体问题,如超高速、负载均衡和小区间干扰,归纳总结了5G HetNet的移动性管理主要解决方案,并提出了5G/B5G HetNet的移动性管理新方法。

基于通信负载站间迁移的配电网与5G基站日前互动运行方法

当前,将5G基站作为灵活性资源参与电网互动的研究多关注于5G基站储能资源的利用,忽视了5G基站通信负载的调节潜力。为此,提出了一种基于通信负载站间迁移的配电网运营商(DNO)与移动网络运营商(MNO)日前互动运行方法。首先,构建了DNO-MNO双层互动运行优化模型,其中,DNO是综合考虑系统网损成本与5G基站激励成本的激励策略,并以系统N-1安全运行准则为约束,以系统总运行成本最低为目标;MNO综合考虑5G基站功耗成本与电网需求响应收益,并以5G基站净运行成本最低为目标制定5G基站功率运行方案。其次,针对下层MNO 5G基站调度模型存在非凸、非线性约束难以解析求解的问题,提出了一种基于可行域迭代的算法以实现对模型的精确求解。再次,提出了基于精英遗传算法的DNO内嵌MNO双层互动模型求解算法。最后,通过算例验证了文中所提方法的有效性和实用性。

手机直连卫星关键技术分析与发展展望

手机直连卫星技术的快速发展是卫星载荷技术突破、手机终端技术创新、体制标准制定并验证等多种因素叠加的结果,通过对手机直连卫星发展现状的介绍,总结了手机直连卫星的2条技术路线和3种实现方式。面对星地频率共用、星载天线、星载基站等技术瓶颈,结合实际系统和应用场景给出了重点研究内容。探讨了作为5G通信重要组成部分和6G通信基础支撑的手机直连卫星技术未来的发展方向。

考虑5G基站备用储能优化调控的配电网重构双层优化方法

5G基站建设数量激增带来的大量负荷影响了配电网的运行经济性,但基站备用储能在保证可靠性的动态备电前提下能够参与削峰填谷,如何利用配电网重构和储能调控提高双方运行经济性亟待研究。该文首先分析了5G基站备用储能的调控潜力,建立了基站储能可调控容量模型。针对配电网不同拓扑结构的节点可靠性,利用序贯蒙特卡洛法进行评估,提出了考虑节点可靠性的基站储能备电时长确定方法。在此基础上,构造了考虑5G基站备用储能优化调控的配电网重构双层优化模型。通过算例说明,该文提出的重构模型考虑了基站备用储能削峰填谷,使配电网运行经济性更高;重构提高了节点的可靠性,使基站储能拥有更大的调控空间,有效地降低了基站运行成本,实现了双方的互利共赢。

基于改进MVO算法的电力无线专网基站选址

针对电力无线专网中基站选址问题,提出一种包含建站成本、覆盖范围和重叠覆盖的站址选择数学模型,并且基于改进的多元宇宙优化算法实现基站的优化布局。考虑到多元宇宙优化算法的早熟收敛问题,先对算法中的旅行距离率进行改进,再引入禁忌搜索算法,从而有效解决局部最优问题。最后通过对优化后的基站部署方案进行综合性分析,验证该算法的经济性和可行性。实验结果表明,本文算法具有较高的寻优性能和较快的收敛速度,能够在提高覆盖率的同时,节约成本预算,减少同频干扰,对电力无线专网的站址规划具有良好的理论指导。

基于改进遗传算法的电力无线专网4G、5G基站布点规划优化方法

在电力4G无线专网中引入5G,进行4G、5G融合组网,对提高电力业务通信效率具有重要意义。首先阐述了5G在电力系统中的应用及4G、5G组网方式。然后,综合考虑电力自有业务、电力业务通信需求、电力基站建设成本、基站运行成本,构建了电力无线专网4G、5G基站布点优化模型,对4G、5G基站进行优化布点。其次对遗传算法中编码、初始化种群操作进行优化设计和改进,大幅减少算法迭代次数,提高收敛速度,降低了模型的求解复杂度。最后基于改进模型对电力4G、5G基站布点优化模型进行求解,可以快速给出4G、5G基站优化方案,满足电力通信覆盖率和经济性等要求。仿真算例验证所提模型、改进算法的合理性和有效性。

改进GAN模型在基站流量预测及5G节能中的应用

【目的】为了更精准地预测5G基站的流量,分析潮汐现象,提出一种优化的生成对抗网络(generative adversarial network,GAN)模型流量预测方法,并将其用于实际基站的定时控制中。【方法】GAN的生成器利用差分演化灰狼算法优化长短时记忆网络(long short term memory networks,LSTM),判别器使用门控循环神经网络(gated recurrent unit,GRU)进行判别,生成器和判别器利用不断地对抗训练达到均衡从而提高了5G基站流量的预测精度;其次,利用改进人工蜂群优化k-means++算法,将其用于输出最优基站定时时间,达到最大限度节能的目的。【结果】实验结果表明,与现有模型相比,所提预测模型有更高的预测精度,定时控制功能可极大地节约能耗。