地铁通信系统中的无线覆盖与优化策略分析

阐述地铁通信系统中的无线覆盖问题，技术难点、优化策略，包括增强基站发射功率、采用无源设备模块化的系统，针对地区的实际状况来选取适当的地铁通信系统覆盖方法，有利于保证无线通信的稳定运行。     

基于无线通信的地铁车地通信中的干扰分析

地铁系统中可靠的车地无线通信是保证地铁安全行车的-种重要方式如何确保车地无线数据传输的安全可靠,具有重要的研究意义。本文通过分析车地无线通信传输中存在的几种主要的车地无线通信传输干扰源,提出了几种针对不同干扰源的防范措施:加强对非行车用通信系统的建设管理;合理选择无线频段;提高有用信号发射频率或降低干扰信号发射频率等。     

4G无线通信技术在地铁通信网络中的应用分析

随着无线通信技术的快速发展,人们已经进入了4G移动通信时代,在工业生产、民用生活等领域得到了广泛的普及.地铁通信网络承载了地铁乘客数据传输等功能,引入4G无线通信技术可以提高数据接入、发送、接收等速度,进一步改善乘客信息化体验性能.本文详细地分析了4G无线通信技术发展现状及在地铁通信中引入的必要性,同时分析了其在地铁通信中的覆盖方式,提高地铁通信建设能力.     

地铁专用无线通信系统的4G解决方案

文章主要针对地铁专用无线通信系统的构建问题进行重点研究,提出一种基于4G技术支持的地铁专用无线通信系统。首先,针对现阶段地铁专用无线通信系统架构与实际功能进行分析与概述。其次,联合4G技术构建基于4G技术的地铁专用无线通信系统,实现地铁专用无线通信系统的语音、数据以及视频等业务功能,夯实地铁专用无线通信系统的通信质量。最后,总结与归纳基于4G技术支持的地铁专用无线通信系统的应用优势及效果,以供参考。     

地铁专用无线通信系统方案的研究设计

地铁通信系统中最重要的是无线通信系统,它不仅确保地铁车辆实现快速运营,还保证了地铁的安全性。研究地铁中的无线通信系统的运用,以TETRA基站系统作为跳板,分析地铁专用的无线通信系统方案,主要包括:设计分析、无线覆盖设计、系统结构设计、容量规划等。     

地铁专用无线通信系统的覆盖分析

在地铁运营的过程中,地铁的专用通信系统起着信息共享以及保障地铁交通安全的重要作用。地铁的特殊结构让通信网络具有非常强的特点,因此需要运用多种方式提升地铁专用通信系统的性能。基于此,文章从地铁专用无线通信系统覆盖特点的角度入手,深入分析了地铁专用无线通信系统的组成、覆盖的范围和存在的问题,并提出了相应的优化措施,以期为相关的工作人员提供参考,更好地推动地铁发展。     

基于PIC单片机的无线数据传输系统设计

针对于有线通信布线繁琐以及通信故障不易检查等问题,立足于无线技术的高效性和便捷性,运用硬件与软件相结合的方式,提出了基于PIC单片机的无线数据传输系统设计方法。所设计的无线数据传输系统具有实现双PC机间的数据传输功能。设计分析与测试结果表明,基于PIC单片机的无线数据传输系统稳定性更强、可扩展性更全面,并使得短距离无线通信质量增强,为提高网络通信的传输可靠性提供了新的解决方案。     

基于Android手机的无线通信数据传输速率优化研究

为提高无线通信网络中传输数据的速率,减少响应延时,提出基于Android手机的无线通信数据传输速率优化研究.通过分析无线通信网络数据传输现状及发展趋势,从无线通信数据采集、基于Android手机的服务器端通信数据存储和无线通信数据传输响应三方面提出一种全新的数据传输方法.实验表明,所提方法对无线通信网络中的数据传输速率...     

基于PTR6000的足球机器人无线通信系统的设计

无线通信系统是足球机器人闭环控制系统的一个重要组成部分,上位机与机器人小车的通信通过无线通信模块来实现。提出一种基于PTR6000的足球机器人无线通信系统方案,包括发射器和接收器的硬件和软件的设计及实现,有效地提高了通信系统的性能,为足球机器人系统提供了一个高效可靠的通信平台。     

基于用户行为的无线通信网络综合优化研究

在现代信息技术的发展推动下,无线通信网络逐渐渗入到人们日常生活与工作的各个角落。因此,文章就基于用户行为的无线通信网络综合优化展开研究,研究介绍了无线网络的用户行为特点,进一步提出了无线通信网络综合优化策略,具体实施包括采集与分析用户行为数据、应用基于用户行为的网络优化技术、探究基于用户行为的网络功能拓展,意在为无线通信网络技术的完善与发展,提供一定参考与借鉴。     

Mechanism-based resource allocation for multimedia transmission over spectrum agile wireless networks

We propose to add a new dimension to existing wireless multimedia systems by enabling autonomous stations to dynamically compete for communication resources through adjustment of their internal strategies and sharing their private information. We focus on emerging spectrum agile wireless networks, where developing an efficient strategy for managing available communication resources is of high importance. The proposed dynamic resource management approach for wireless multimedia changes the passive way stations are currently adapting their joint source-channel coding strategies according to available wireless resources. Each wireless station can play the resource management game by adapting its multimedia transmission strategy depending on the experienced channel conditions and user requirements. The resource allocation game is coordinated by a network moderator, which deploys mechanism-based resource management to determine the amount of transmission time to be allocated to various users on different frequency bands such that certain global system metrics are optimized. Subsequently, the moderator charges the various users based on the amount of resources it has allocated to them, in order to discourage them from being dishonest about their resource requirements. We investigate and quantify both the users' and the system performance when different cross-layer strategies, and hence users' levels of smartness, are deployed by wireless stations. Our simulations show that mechanism-based resource management outperforms conventional techniques such as air-fair time and equal time resource allocation in terms of the obtained system utility. They also provide insights that can guide the design of emerging spectrum agile network protocols and applications     

Optimal cooperative strategy based on quantum bat for cognitive radio of energy harvesting

In order to reduce energy consumption and improve spectral efficiency of the cognitive relay wireless communication system in 5G network,an optimal cooperative transmission strategy of information and energy was designed for cognitive relay radio with wireless energy harvesting.For the proposed optimal cooperative strategy,the maximal throughput formula and outage probability of secondary user were deduced.In order to resolve the derived maximum throughput equation,a quantum bat algorithm which was based on the optimization mechanism of quantum computing and bat algorithm was designed to solve the deduced equation,and the optimal cooperative transmission scheme for information and energy could be obtained.Simulation results show that the proposed optimal cooperative strategy not only can meet the information transfer demand of primary user,but also can realize the energy self-supply of the secondary user system and improve the communication quality of the secondary user.The proposed optimal cooperative strategy has a better performance than the cooperative strategy of existing cognitive relay radio for different simulation scenarios.     

基于Si4421和STC12C2052的射频通信系统的设计与实现

文中设计了基于Si4421（IA4421）和STC12C2052的射频通信系统,提出了一种基于51内核单片机的无线数据传输解决方案,可用于远程控制、智能家居以及无线抄表等设备,实现了在计算机与数据采集、控制节点等部件之间用射频通信代替传统的有线数据传输。文中重点介绍了该射频通信系统硬件以及软件设计。     

基于nRF905的无线数据传输设备设计

短距离无线通信以其使用便捷和功耗低等优势得到了广泛应用。设计了基于无线数据收发芯片nRF905、以ATmega16为主处理芯片的无线数据传输设备,给出了无线数据传输系统框图和硬件电路。同时,制定了外部数据设备和无线数据传输模块之间的串行通信协议,介绍了nRF905的配置及收发流程、USART和SPI等接口软件的设计方案,给出了系统主程序流程图。最终实现了该无线数据传输设备,实验表明该设备能完成高速有效的数据传输功能。     

基于ATmega16和nRF2401的无线射频收发系统设计

短距离无线通信以其使用便捷和功耗低等优势得到了广泛应用。本文设计了基于无线数据收发芯片nRF2401、以ATmega16为主控制芯片的无线射频收发系统,给出了无线射频系统框图和硬件电路;同时,制定了外部数据设备和无线数据传输模块之间的通信协议,介绍了nRF2401的配置及收发流程等接口软件的设计方案,给出了系统主程序流程图。最终实现了该无线数据传输系统,实验表明该系统能完成高速有效的数据传输功能,具有广泛的市场应用价值。     

面向能量受限传感网的最优数据收集策略

本文研究了能量受限条件下无线传感器网络(wireless sensor networks,WSNs)的最优数据收集策略问题.首先,传感器节点周期性采集数据并通过卡尔曼滤波器(Kalman filter,KF)对信息进行预处理以滤除噪声.其次,考虑到通信为主要耗能环节,设计最优数据发送策略令节点在特定轮内发送数据,使得满足网络生存周期前提下,基站获得的数据精度最高.具体来说,针对单跳网络,给出可使基站误差方差最小化的数据发送策略;在此基础上,进一步提出面向多跳网络的改进数据发送策略.最后,利用仿真和原型实验验证所提策略的有效性.     

智能化燃气系统的数字化升级策略

文中旨在探讨智能化燃气系统的数字化升级策略。首先,概述了当前智能化燃气系统技术的发展现状,包括远程监控、智能计量、数据分析等关键技术。然后,分析了现有系统存在的局限性,如安全性和隐私保护、技术互操作性、可持续性、用户教育等。接下来,提出了数字化升级的关键策略,包括数据收集与分析技术的应用、物联网在燃气系统中的集成、增强用户交互界面和体验等。最后,针对存在的挑战,提出了应对策略,包括加强安全性和隐私保护、进行技术升级的成本效益分析等。     

Joint optimization of relay strategies and resource allocations in cooperative cellular networks

This paper considers a wireless cooperative cellular data network with a base station and many subscribers in which the subscribers have the ability to relay information for each other to improve the overall network performance. For a wireless network operating in a frequency-selective slow-fading environment, the choices of relay node, relay strategy, and the allocation of power and bandwidth for each user are important design parameters. The design challenge is compounded further by the need to take user traffic demands into consideration. This paper proposes a centralized utility maximization framework for such a network. We show that for a cellular system employing orthogonal frequency-division multiple-access (OFDMA), the optimization of physical-layer transmission strategies can be done efficiently by introducing a set of pricing variables as weighting factors. The proposed solution incorporates both user traffic demands and the physical channel realizations in a cross-layer design that not only allocates power and bandwidth optimally for each user, but also selects the best relay node and best relay strategy (i.e. decode-and-forward vs. amplify-and-forward) for each source-destination pair     

An efficient resource optimization scheme for D2D communication

With the rapid development of wireless technologies, wireless access networks have entered their Fifth-Generation (5G) system phase. The heterogeneous and complex nature of a 5G system, with its numerous technological scenarios, poses significant challenges to wireless resource management, making radio resource optimization an important aspect of Device-to-Device (D2D) communication in such systems. Cellular D2D communication can improve spectrum efficiency, increase system capacity, and reduce base station communication burdens by sharing authorized cell resources; however, can also cause serious interference. Therefore, research focusing on reducing this interference by optimizing the configuration of shared cellular resources has also grown in importance. This paper proposes a novel algorithm to address the problems of co-channel interference and energy efficiency optimization in a long-term evolution network. The proposed algorithm uses the fuzzy clustering method, which employs minimum outage probability to divide D2D users into several groups in order to improve system throughput and reduce interference between users. An efficient power control algorithm based on game theory is also proposed to optimize user transmission power within each group and thereby improve user energy efficiency. Simulation results show that these proposed algorithms can effectively improve system throughput, reduce co-channel interference, and enhance energy efficiency.