UEs Power Reduction Evolution with Adaptive Mechanism over LTE Wireless Networks

At present, the major drawback for mobile phones is the issue of power consumption. As one of the alternatives to decrease the power consumption of standard, power-hungry location-based services usually require the knowledge of how individual phone features consume power. A typical phone feature is that the applications related to multimedia streaming utilize more power while receiving, processing, and displaying the multimedia contents, thus contributing to the increased power consumption. There is a growing concern that current battery modules have limited capability in fulfilling the long-term energy need for the progress on the mobile phone because of increasing power consumption during multimedia streaming processes. Considering this, in this paper, we provide an offline meaning sleep-mode method to compute the minimum power consumption comparing with the power-on solution to save power by implementing energy rate adaptation(RA) mechanism based on mobile excess energy level purpose to save battery power use. Our simulation results show that our RA method preserves efficient power while achieving better throughput compared with the mechanism without rate adaptation(WRA).

Dynamic Optimization of Handover Parameters Adjustment for Conflict Avoidance in Long Term Evolution

In order to achieve dynamical optimization of mobility load balancing,we analyze the conflict between mobility load balancing and mobility robustness optimization caused by the improper operation of handover parameters.To this end,a method of Handover Parameters Adjustment for Conflict Avoidance(HPACA)is proposed.Considering the movement of users,HPCAC can dynamically adjust handover range to optimize the mobility load balancing.The movement of users is an important factor of handover,which has a dramatic impact on system performance.The numerical evaluation results show the proposed approach outperforms the existing method in terms of throughput,call blocking ratio,load balancing index,radio link failure ratio,ping-pong handover ratio and call dropping ratio.

Comparison of Vertical Handover Decision-Based Techniques in Heterogeneous Networks

Industry leaders are currently setting out standards for 5G networks projected for 2020 or even sooner. Future generation networks will be heterogeneous in nature as no single network type will be capable of optimally meeting all the rapid changes in customer demands. With the advent of multi-homed devices and heterogeneous network (HetNet) solution, great concerns arise in the processes involved for successful handover. Active calls that get dropped or cases of poor quality of service experienced by mobile users can be attributed to the phenomenon of delayed handover (HO) or an outright case of an unsuccessful handover procedure. This work compares multiple criteria handover basis to its traditional single relative signal strength (RSS) base counterpart. It analyses the performance of a fuzzy-based VHO algorithm scheme in a Wi-Fi, WiMAX, UMTS and LTE integrated network using OMNeT++ event simulator. The loose coupling network architecture is adopted and simulation results analysed for the two major categories of handover;the multiple and single criteria. Results obtained show a better overall throughput, better call dropped rate and shorter handover time for the multiple criteria based decision method as compared to the single criteria based technique. This work also highlights current research trends, challenges of seamless handover and initiatives for Next Generation HetNet.

On Coexistence of Vehicular Overlay Network and H2H Terminals on PRACH in LTE

Vehicular ad hoc networks （VANETs） that use the IEEE 802.11p communication standard face a number of challenges, not least when it comes to safety messages on the VANET control channel （CCH） where short delay times and reliable delivery are of pri- mary importance. In this paper we propose a vehicular machine-to-machine （VM2M） overlay network that uses Long Term Evolu- tion （LTE） physical random access channel （PRACH） to emulate VANET CCH. The overlay network uses dedicated preambles to separate vehicular traffic from regular LTE traffic and a cartier sense multiple access with collision avoidance （CSMA-CA） layer similar to the one used in IEEE 802.15.4 to avoid the four step handshake and the overhead it incurs. The performance of the pro- posed overlay is evaluated under a wide range of PRACH parameters which conform to the scenarios with high vehicle velocities and large distances between roadside units （RSUs） that may be encountered in rural areas and on highways.

TCP TRAFFIC PERFORMANCE IMPROVING IN LTE-A NETWORKS

This paper presents a novel way to improve Transmission Control Protocol (TCP) performance of the users at the edge areas of the macro cells in Long Term Evolution Advanced (LTE-A) systems. Previous works on improving wireless TCP performance are reviewed and current considerations on TCP in LTE-A are explained. However, those solutions are neither too complex nor limited to some presuppositions which are too restricting for the deployment of LTE-A networks. In this paper a substituted TCP acknowledgement transmission scheme based on Automatic Repeat reQuest (ARQ) information in layer 2 is proposed. The simulation result shows that the proposed method can reduce the delay and improve the throughput of the edging users of the cell, as well as reducing radio resources in LTE-A macro cells.

Quality of experience based scheduling algorithm in LTE network with various traffics

Quality of experience （ QoE ） based scheduling algorithm of long term evalution （ LTE ） network with various traffics is studied. Utility functions are adopted to estimate mean opinion score （MOS） for different traffics and a new MOS metric called normalized MOS is defined. A scheduling algorithm based on normalized MOS and greedy algorithm is proposed, aiming at maximizing the entirety MOS level of the whole users in the cell. We compare the performance of the proposed algorithm with other typical scheduling algorithms and the simulation results show that the algorithm pro- posed outperform other ones in term of QoE and fairness.

Elite Opposition Based Metaheuristic Framework for Load Balancing in LTE Network

In present scenario of wireless communications,Long Term Evolution(LTE)based network technology is evolved and provides consistent data delivery with high speed andminimal delay through mobile devices.The traffic management and effective utilization of network resources are the key factors of LTE models.Moreover,there are some major issues in LTE that are to be considered are effective load scheduling and traffic management.Through LTE is a depraved technology,it is been suffering from these issues.On addressing that,this paper develops an Elite Opposition based Spider Monkey Optimization Framework for Efficient Load Balancing(SMO-ELB).In this model,load computation of each mobile node is done with Bounding Theory based Load derivations and optimal cell selection for seamless communication is processed with Spider Monkey Optimization Algorithm.The simulation results show that the proposed model provides better results than exiting works in terms of efficiency,packet delivery ratio,Call Dropping Ratio(CDR)and Call Blocking Ratio(CBR).

基于运动单站的LTE辐射源定位技术

长期演进(LTE)信号具有覆盖范围广泛、带宽大、自相关特性良好、抗衰落能力强及发射功率大等诸多有利于定位的优点,是一种可用于定位的主要机会信号。基于LTE信号的定位方法需要利用辐射源的位置信息进行解算,在非合作环境中获取基站的位置信息是使用LTE信号进行定位的基础。提出了一种利用移动单站获取LTE辐射源位置的定位方法,以到达时间差(TDOA)为观测量,建立了包含钟差校准的定位模型,并从单站的运动轨迹和初始点选取两个方面分析了算法的收敛性和定位精度。通过行人以及车载两种方式,在实际环境中对定位方法的性能进行了测试,实验结果表明,该方法的定位误差小于10 m。

基于月面LTE基站OFDM测距的巡视器定位

针对目前的月面定位技术中成本高、观测时间长以及缺少可用定位信息的问题,开展了基于长期演进(LTE)基站的月面定位技术的研究,并引入了LTE技术,通过在月面布设基站为月面巡视器的实时定位提供了可行基础。提出了一种基于因子图优化的月面定位方法,通过融合月面基站的正交频分复用(OFDM)测距信息和巡视器自身的惯性导航信息,利用有限的月面基础设施,在较低成本的硬件条件下实现了月面巡视器的准确定位。仿真实验结果显示,该月面定位方法具有良好的准确性和鲁棒性。

融合ZigBee与LTE的智能交通通信网络设计与实现

文章提出一种融合ZigBee与长期演进(Long Term Evolution,LTE)的智能交通通信网络设计与实现方案,旨在提升智能交通系统的数据传输效率、实时性以及安全性。通过结合ZigBee的低功耗、短距离通信优势和LTE的广覆盖、高速率特点,构建了多层次、互补性的通信网络架构。该系统不仅实现了车辆间及车辆与基础设施间的实时信息交互,还优化了数据传输路径,降低了网络能耗,为智能交通系统的全面发展提供了有力支持。

LTE网络中基于改进PSO的资源分配策略

长期演进(Long Term Evolution,LTE)作为当前主流的无线通信技术之一,其性能优化是当前研究的热点。文章针对LTE网络中的资源分配问题展开研究,通过分析正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)技术的基本原理,深入探讨其资源分配问题。针对传统粒子群优化(Particle Swarm Optimization,PSO)算法在资源分配过程中存在的局限性,文章研究一种基于混沌优化的PSO算法,以提高算法的全局搜索能力和收敛速度。通过在NS-3仿真平台上进行实验验证,结果表明混沌优化的PSO算法在不同网络负载情况下均能有效增加系统吞吐量,相比传统PSO算法具有更好的性能表现。

LTE无线通信技术与物联网技术的结合与应用研究

文章探讨长期演进(Long Term Evolution,LTE)无线通信技术与物联网技术的融合在物联网网关设计中的应用。LTE技术具有网络容量大、吞吐量高和并行传输能力强的优势,结合物联网技术的智能交互和信息化网络环境,共同提升物联网的连接效率和数据传输稳定性。基于对LTE无线通信和物联网技术的简要分析,探索基于LTE无线通信的物联网网关设计。使用CMW500无线设备空口综合性测试仪与SecureCRT终端仿真程序测试网关联网功能。测试结果显示,该网关设计能够搜网成功并连接网络,具备一定普适性。

LTE无线通信技术与物联网技术的结合应用

随着科技的不断发展,人们对信息服务的需求越来越高。在无线通信技术方面,长期演进(Long Term Evolution,LTE)被广泛应用于移动通信领域,因其高速、高质量的数据传输能力而备受青睐。物联网技术的出现和发展为各行各业带来了巨大的机遇和挑战。将LTE无线通信技术与物联网技术相结合,可以进一步提高用户的信息服务体验,为后续发展提供坚实的基础。

城市轨道交通LTE-M无线通信系统跨线漫游方案研究

随着各城市轨道交通线网规模的增长,为满足列车跨线运行、多线换乘站统一运营调度等需求,提出LTE-M无线通信系统的跨线漫游通信方案。通过研究3GPP TD-LTE标准架构和LTE-M漫游原理,结合城市轨道交通实际特点,参考LTE-M系列规范,提出线网共建演进分组核心网(EPC)、线路间EPC全连接、增强型归属用户服务器整合、线网EPC虚拟化部署等4种漫游通信实现方案;为进一步指导方案建设及落地实施,从接口设计、线网规划、号码规划等方面进行相关配套设计。在当前受专用频段资源分配等因素影响,城轨领域尚不具备成熟条件开展5G专用无线通信系统大规模建设的情形下,为各城市轨道交通线路LTE-M无线通信系统的建设及改造提供参考。

基于随机网络演算的LTE网络端到端时延分析

长期演进计划LTE(Long Term Evolution)由第三代合作伙伴计划(The 3rd Generation PartnershipProject,3GPP)提出,是下一代高速无线网络通信的重要标准.LTE网络中的数据传输性能评价是学术界与工业界重要问题.但是,无线信道的时变性使得LTE网络中性能评价的复杂度大大增加.文中利用随机网络演算对LTE网络中不同数据流的到达和服务进行建模,建立了对LTE网络进行数据传输时端到端(End-to-End,E2E)时延分析的框架,并通过数值分析验证了所建立框架的有效性.

同时同频全双工LTE射频自干扰抑制能力分析及实验验证

同时同频全双工本地发射信号会对本地接收信号产生强自干扰,为了使信号能够通过射频接收通道及模数转换器件,需要在射频前端进行自干扰抑制。在自干扰为直射路径的条件下,该文采用直接射频耦合法,对长期演进(LTE)同时同频全双工自干扰抑制进行实验测试;分析推导了自干扰功率、带宽及线缆、幅度、相位调整误差对射频自干扰抑制能力的影响;得到了射频自干扰抑制能力的闭合表达式。分析表明对于20 MHz带宽,-10 dBm接收功率的LTE射频自干扰信号,理论上能抑制54 dB的射频自干扰,而实验测试结果表明能抑制51.2 dB。

LTE网络中多目标优化的动态负载均衡算法

小区间动态负载均衡算法的优劣对网络性能有很大的影响,现有算法大都顾此失彼,难以保证网络关键性能指标(如呼叫阻塞率等)达到最佳。为解决这个问题,该文将负载均衡问题建模为多目标优化问题,分别对不同服务质量要求用户建模其相应目标优化函数,对有服务质量要求用户的目标函数是负载均衡指示函数和网络平均负载函数的联合优化函数,而对没有服务质量要求用户(BE用户)的目标函数是所有BE用户吞吐量的总效用函数,并将小区可用资源数和用户服务质量要求作为约束条件。另外,考虑到在实际系统中运行的计算复杂度问题,提出一种复杂度较低的分布式负载均衡算法。包括资源调度策略,用户切换条件和呼叫接入控制。仿真结果表明,该文算法可达到较好的负载均衡效果,能有效降低有服务质量要求用户的呼叫阻塞率,提高网络资源利用率。

基于LTE系统的物联网架构的研究与设计

由于通信网络在物联网架构中的缺位,使得早期的物联网应用往往在部署范围、应用领域等诸多方面有所局限,终端之间以及终端与后台软件之间都难以开展协同。随着物联网发展,建立端到端的全局物联网将成为必须,通信网络将成为物联网的基础承载网络,移动通信终端也可实现与物联网终端的融合。首先简单地介绍了物联网和长期演进(LTE)系统,分析了两种技术融合的可能性和必要性,然后提出了一种LTE技术与物联网技术相互融合的一种架构,最后研究了基于新架构的物联网在供应链中的应用。

LTE移动通信实训教学平台的构建

阐述了重庆邮电大学移动通信与网络国家级实验示范中心LTE移动通信实践教学平台的组网构建和实训项目的设置。平台建设包括TDD、FDD两种LTE制式的硬件平台建设和软性的教学资源建设,采用运营级设备,并与现有实验平台联合组网,形成了模拟运营商的全程全网、全业务的下一代融合信息网络实验实训平台。该平台服务于本校的教学和科研工作,同时也能扩大移动通信与网络国家级实验示范中心在信息类高校中的辐射示范作用。

基于认知的LTE系统动态频谱分配

传统的软频率复用(SFR)无法适应长期演进(LTE)系统中业务的动态分布,可能导致小区中心和边缘区域频谱利用率不均。针对此问题,该文提出一种基于认知的LTE系统动态频谱分配方法(Cog-DSA)。该方法利用基站间的相互协作获得频谱使用状态信息,从而确定可用频谱集合,并评估来自邻小区的同频干扰,最终根据可用资源块的通信质量,对重负荷小区边缘进行频谱的动态借用和服务基站的灵活选择。仿真结果表明,所提方法能够有效改善频谱利用率,减少小区间干扰,显著提升边缘用户的传输速率。