Node deployment strategy optimization for wireless sensor network with mobile base station

The optimization of network performance in a movement-assisted data gathering scheme was studied by analyzing the energy consumption of wireless sensor network with node uniform distribution. A theoretically analytical method for avoiding energy hole was proposed. It is proved that if the densities of sensor nodes working at the same time are alternate between dormancy and work with non-uniform node distribution. The efficiency of network can increase by several times and the residual energy of network is nearly zero when the network lifetime ends.

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 Path-Based Approach for Data Aggregation in Grid-Based Wireless Sensor Networks

Sensor nodes in a wireless sensor network （WSN） are typically powered by batteries, thus the energy is constrained. It is our design goal to efficiently utilize the energy of each sensor node to extend its lifetime, so as to prolong the lifetime of the whole WSN. In this paper, we propose a path-based data aggregation scheme （PBDAS） for grid-based wireless sensor networks. In order to extend the lifetime of a WSN, we construct a grid infrastructure by partitioning the whole sensor field into a grid of cells. Each cell has a head responsible for aggregating its own data with the data sensed by the others in the same cell and then transmitting out. In order to efficiently and rapidly transmit the data to the base station （BS）, we link each cell head to form a chain. Each cell head on the chain takes turn becoming the chain leader responsible for transmitting data to the BS. Aggregated data moves from head to head along the chain, and finally the chain leader transmits to the BS. In PBDAS, only the cell heads need to transmit data toward the BS. Therefore, the data transmissions to the BS substantially decrease. Besides, the cell heads and chain leader are designated in turn according to the energy level so that the energy depletion of nodes is evenly distributed. Simulation results show that the proposed PBDAS extends the lifetime of sensor nodes, so as to make the lifetime of the whole network longer.

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.

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.

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。

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。

考虑通信灵活性的5G基站与含光伏电源配电网多目标区间规划

提出一种考虑通信灵活性赋能的5G基站与含光伏电源配电网多目标区间协同规划方法。首先,在深入分析5G基站与配电网交互机理的基础上,综合考虑基站能耗、通信容量及覆盖范围等方面特性约束,计及单基站级(带宽灵活分配)与基站群级(蜂窝呼吸机制)灵活性资源,构建5G基站需求响应模型。鉴于系统经济性和环境性之间的固有矛盾,分别以系统投资运行成本最低和碳排放量最小作为优化目标,建立5G基站与含光伏电源配电网协同规划的多目标区间优化模型。该模型通过对5G基站设备配置及接入节点选择、配电网扩容、RES配置及运行管理策略优化,并利用区间方法处理电力/通信负荷和RES不确定性,达到系统经济和低碳效益的同时优化。利用区间序关系和可能度法将所建模型转化为确定性优化问题,采用NSGA-Ⅱ算法进行求解。算例采用修改的IEEE-33节点系统,计算结果验证了所提方法能有效降低协同规划成本,促进可再生能源的消纳利用。

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。

5G基站精准建设数字化管理

数字化转型的时代背景下,新疆电信建设无线网工程建设数字化管理平台,用于无线网工程建设过程中的关键数据的留痕,平台自建成后开始使用,至今已储存了大量的留痕数据,如何利用留痕数据,让留痕数据发挥价值,成为了新疆电信面临的重要挑战。为解决这一难题,通过强化数据驱动的全过程管控,将无线网规划、设计、施工、后评价环节的流程打通,构建无线网从规划到后评价的精细化管理体系,指导无线网工程建设优化及投资管理。

考虑电动汽车和5G基站的电力-信息-交通耦合网络需求响应策略

电动汽车(EV)是具有移动负荷和通信用户双重属性的主体,为充分挖掘其参与需求响应产生的可调度潜力并降低电网负荷波动,提出了电力-信息-交通网络耦合背景下EV和5G基站需求响应策略。首先,分析了EV和5G基站参与下的多网络耦合关系。其次,建立了EV集群和5G基站集群的灵活性模型。基于此模型,提出了两阶段需求响应优化调度策略:第1阶段以通信成本最小为目标,为EV提供充电导航和路径规划并优化基站用能模式;第2阶段以配电网负荷波动最小为目标,制定EV的充放电策略。最后,通过某城市交通模型的测试,分析了调度策略对基站运行、配电网负荷、潮流和用户的影响,验证了模型和方法的有效性。

5G非地面网络相关误差矢量幅度标准测试模型分析

针对泛在通信和万物智联的发展需求,地面5G蜂窝通信系统和非地面网络系统实现优势互补、融合发展、资源共享。非地面网络是一种全新的形态,文中先讨论5G非地面网络系统元素及相关应用场景,接着根据5G基站的测试方法和一致性要求,来分析误差矢量幅度测试的方法及相关指标,通过自主设计的程序生成的测试波形与商业软件生成的测试波形进行比对,从信噪比、信道带宽以及子载波间隔三个方面分析其对误差矢量幅度的影响。为非地面网络设备的设计研发提供基于3GPP最新标准的测试方法,可为相关设备大规模量产节省开销。

基于分布式基站的5G无线网络规划分析

随着数字化时代的蓬勃发展,5G技术的崛起正引领人类社会进入一个崭新的通信纪元。无线网络不仅是连接人与人之间的纽带,更是连接物与物、物与人的重要桥梁。为应对数字化时代背景下的通信需求,基于分布式基站的5G无线网络应运而生。通过分析基于分布式基站的5G无线网络规划的价值和面临的挑战,深入探讨规划要点,以供参考。

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。

基于5G网络探讨通信基站建设与维护策略

5G网络技术在智慧城市建设中的应用越来越受到关注,而5G基站的建设和维护水平与5G网络的技术价值有着紧密的联系。通信基站是整个无线网络构建的进一步深入,在构建与改造大规模5G网络的过程中,如何提升其运维效率已成为运营商面临的首要问题。基于此,本文首先分析了建设5G网络通信基站的关键技术,其次,对通信基站发展思路与网络建设展开深入分析,最后提出5G网络的基站运行维护对策。

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。

面向5G融合配电网的基站能量共享方法

针对5G融合配电网的经济性多基站能量共享机理及实现方法这一关键性问题,首先,构建基站能量共享系统,提出基站能量共享能力模型,建立基站间能量共享连接以及配电网-基站购电模型;之后,提出基于一对多升价匹配的低成本基站能量共享方法,解决能量共享冲突问题;最后,通过仿真验证所提算法的性能。仿真结果表明,相较于基于单边匹配的基站能量共享算法和基站最优购电算法,所提算法能够使基站群购电成本和弃光量分别降低14.37%、41.80%和56.80%、85.58%,可促进基站购电成本降低与新能源就地消纳,助力5G网络及新型电力系统建设。

洪涝灾害应急医学救援无线自组网系统研究

目的设计一种可用于洪涝灾害应急医学救援的无线自组网系统,以满足现场医疗救援通信需求。方法根据大范围洪涝灾害医学救援特点,分析洪涝灾害应急医学救援通信需求,按照车载、地基、空基、手持四位一体,设计无线自组网通信方案总体结构,形成系统通信方案。结果基于无线自组网的洪涝灾害应急医学救援系统能够满足应急医学救援通信要求,设计的通信硬件在规定范围内具有较强的融合通信能力。结论无线自组网通信系统的建立,对于提升洪涝灾害医疗救援的及时性和受灾患者的时效救治能力具有重要意义。