蜂窝网络中D2D通信模式选择和信道分配算法

设备到设备(D2D)通信中,不合理的模式选择和信道分配方案会引入干扰,严重时不仅不能体现D2D通信优势,而且还将导致蜂窝用户传输速率下降。针对这一问题,文章提出了一种蜂窝网络中D2D模式选择和信道分配算法。仿真结果表明,新算法能够在有效的平衡蜂窝网络中D2D用户接入率和系统总吞吐量的同时,最小化用户之间的干扰。     

D2D技术在5G通信中的应用

移动通信从第一代仅仅能通话的模拟移动电话到如今4G以及成熟商用,移动互联网呈现飞速发展的模式下.当前时期,智能设备的大规模普及以及移动网络需求的急剧增长,对5G的无线通讯技术的更新需求也是显得十分迫切.在5G移动通信的研究过程中,主要有两点.一点是,对于传统的移动通信性能要加强,例如网络用户容量、频谱利用率都需要提供,因为日益减少的频谱资源使得频谱资源尤为宝贵;另外一点,多制式的通信模式给用户带来的使用体验和蜂窝网络的业务扩张是另外一个研究热点.对于5G通信中的"潜力"技术,设备到设备通信(Device-to-Device,D2D)可以提高整体性能,使得体验上升、应用拓展等潜力,因此是如今一大热点.本文即是对D2D在5G通信中的应用进行了探讨.     

面向5G的毫米波D2D通信技术综述

第五代移动通信系统(5G)是面向2020年以后需求的新一代移动通信系统,将满足未来大规模机器通信、超可靠和低延迟通信等应用场景的需求。为了满足5G移动通信中网络业务不均匀性和热点地区业务高速数据分发的需求,需要大力发展新的系统架构以及无线传输理论。结合国内外移动通信发展的最新趋势,讨论了D2D通信、毫米波无线传输以及毫米波D2D通信的发展历程、技术特点、应用场景以及关键技术,并对毫米波D2D通信的未来研究热点进行展望。     

蜂窝系统中基于时延的D2D通信模式选择算法

D2D(Device-to-Device)通信作为蜂窝网的辅助通信方式,可以有效提高系统容量,具有提高频谱效率、减小时延等优势。模式选择是蜂窝网与D2D联合通信的关键问题之一。提出一种基于时延的D2D通信模式选择算法,该算法引入队列状态信息模型,以队列长度为权重的最大加权算法为调度策略,以时延作为模式选择的标准。通过仿真给出本算法与基于系统容量最大化的模式选择算法的性能比较,仿真结果表明与基于系统容量最大化的模式选择算法相比,本算法所需时延和丢包率均减小约20%。     

基于不完美CSI的D2D通信网络鲁棒能效资源分配算法

针对设备到设备(D2D)直连通信网络传统最优资源分配算法在随机信道时延、信道估计误差影响下鲁棒性弱的问题,该文在考虑参数不确定性影响的条件下,提出D2D用户总能效最大的鲁棒资源分配算法.考虑干扰功率门限、用户最小速率需求、最大传输功率和子信道分配约束,建立了下垫式频谱共享模式下多用户D2D网络资源分配模型.基于有界信道不确定性模型,利用最坏准则方法将原非凸鲁棒资源分配问题转换为确定性的凸优化问题.然后利用拉格朗日对偶理论求得资源分配的解析解.仿真结果表明所提出的算法具有很好的鲁棒性.     

基于不完美CSI的D2D通信网络鲁棒能效资源分配算法

针对设备到设备(D2D)直连通信网络传统最优资源分配算法在随机信道时延、信道估计误差影响下鲁棒性弱的问题,该文在考虑参数不确定性影响的条件下,提出D2D用户总能效最大的鲁棒资源分配算法.考虑干扰功率门限、用户最小速率需求、最大传输功率和子信道分配约束,建立了下垫式频谱共享模式下多用户D2D网络资源分配模型.基于有界信道...     

D2D通信中联合模式选择和资源分配方案研究

为了提高设备到设备(D2D)通信的和速率与频谱利用率,提出D2D通信中基于信道增益比值的联合模式选择和资源分配的方案。首先选定模式选择标准,即信道增益比值,帮助用户选择相应的通信模式;然后基于贪婪算法的子信道分配方案为不同模式的D2D用户分配信道;最后结合遗传算法、二分法和拉格朗日乘子法帮助不同信道上的D2D用户进行功率分配。通过仿真结果对比发现,所提出的D2D通信中联合模式选择和资源分配的方案能够促进谱效的提升,极大地提高了频谱资源的利用率。     

智能电网中D2D网络的通信资源管理优化方案

当前在智能电网的应用中,各种智能终端的使用,使得移动数据流量空前增长,电力互联方式在面临海量数据传输的需求时,由于资源受限,信道间会产生一定的干扰,从而影响通信质量.为了解决通信资源管理这一问题,与常见的移动边缘计算(MEC)方法不同,文中提出了一种网络资源分配方法,优化链路选择和子信道分配,以实现能量效率的最大化.仿...     

Throughput maximization with reduced data loss rate in cognitive radio network

In this paper, we have investigated a technique to eliminate the sensing-throughput trade-off of the conventional method in the cognitive radio network. First, we have discussed the sensing—throughput trade-off caused by the conventional method in the cognitive radio network and then proposes a frame structure for eliminating such an issue which is presented in the conventional approach. However, the proposed method has a drawback, which is solved by the enhancement in the frame structure. We have numerically simulated and compared the throughput of cognitive users for both (conventional and propose) methods. The frame structure enhancement technique decreases the probability of frame collision between the primary and secondary users (SUs) and reduces the data rate loss.     

一种用于5G机动专网的D2D接入认证技术

终端直通(D2D)作为5G的关键技术,在5G机动专网上具有广阔的应用前景,但D2D的安全性是该技术面临的重要挑战.本文先分析5G机动专网下的D2D网络架构和面临的安全威胁与需求,提出了一种基于5G-AKA的身份注册、DH密钥交换的身份认证与密钥协商方法,再通过对协议的性能分析,证明该方法可以实现数据机密性和完整性保护,...     

Throughput oriented forwarders selection analysis for opportunistic routing in wireless mesh network

Opportunistic routing explicitly takes advantage of the broadcast nature of wireless communications by using a set of forwarders to opportunistically perform packet forwarding. A key issue in the design of opportunistic routing protocols is the forwarder list selection problem. This paper proposes a novel routing metric which shows the end-to-end throughput and a corresponding throughput oriented opportunistic routing forwarder-selecting algorithm throughput oriented forwarders selection (TOFS) through analyzing forwarding characteristics of forwarders. The algorithm puts forward a constraint mechanism that controls the number of forwarders by constraint of throughput for forwarders selection, achieving a better balance between number of forwarders and effective link stability by introducing the factor of transmission time. Simulation results show that the algorithm can improve the network end-to-end throughput effectively over existing methods.     

Throughput maximization for UAV-assisted wireless powered D2D communication networks with a hybrid time division duplex/frequency division duplex scheme

Wireless Networks - In this paper, we investigate a low-altitude unmanned aerial vehicle (UAV)-assisted wireless power- ed device-to-device (D2D) network with the...     

TOPSIS‐based approach for network slice selection in 5G mobile systems

Fifth‐generation (5G) mobile networks can be perceived as highly manageable systems that provide increased performance while supporting a variety of services with widely diverse requirements. Recently, network slicing has been proposed by academia and industry as a resource provisioning technique capable to meet these requirements with reduced operating costs while opening new horizons for network efficiency. The aim of network slice selection function (NSSF) is an optimal selection of network instances serving the users, based on local configuration, and other available information including radio access networks (RANs) performances in the registration area. In this paper, NSSF based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed. Here, the network slices are treated as alternatives while their performance indicators are considered as the criteria for decision making. The influences of various alternative techniques, taking into account all the three stages of decision making process, that is, normalization, weighting, and ranking, are analyzed through the rank reversal phenomenon and computational complexity. Simulation results reveal that the proposed techniques can significantly improve the network slice selection procedure.     

面向5G通信网的D2D技术综述

在探讨D2D对通信技术未来发展的导向作用基础上,明确了影响D2D系统设计的多个因素,即D2D设备发现、资源分配、缓存技术、D2D-MIMO。从而勾画出基于D2D技术的光纤前传和软件定义网络实现数据/控制分离的扁平化5G架构,提出负责接入的下层宏/小基站蜂窝网和负责管理的上层网络云的管理机制。将D2D技术、SDN技术、边缘计算和物联网技术等关键技术引入未来移动通信网络已经成为研究领域的热点,针对与之相关的、未来大规模网络的移动性、QoS和大数据特性进行了讨论。     

基于5G无人机通信的多智能体异构网络选择方法

5G无人机通信网络和各种不同无线接入技术的结合使无线异构网络呈现多样化的发展趋势。然而,用户繁多且不同的业务请求对网络要求也不同,造成网络接入选择问题。提出了一种基于5G无人机通信的多智能体异构网络选择方法,将用户分为多个智能体,从用户端和网络端两个方面出发,将用户侧的时延和传输速率需求与网络侧的负载均衡需求综合考虑作为即时回报的相关参数,通过基于Nash Q-Learning的算法进行学习,得到异构网络环境下的网络选择决策模型。仿真结果表明,所提异构网络选择方法针对不同业务类型用户的需求均能选择合适的网络,同时均衡网络的负载,充分利用异构无线网络的资源。     

面向5G雾计算中基于Q-learning的安全中继节点选择方法

提出了一种基于 Q-learning 的最优双中继节点选择方法。首先构建了基于社会意识的安全雾计算结构模型,然后在该模型下设计了基于 Q-learning 算法的最优双中继节点选择方法,实现了在动态环境下对最优双中继节点的选择,最后对密钥生成速率、双中继节点选择速度和动态环境中双中继节点的选择准确率进行了分析。实验结果表明,该方案能有效地在动态环境中选择最优双中继节点,算法迅速收敛达到稳定,最优中继节点选择速度得到有效提升。     

Enhanced Resource Blocks Management in D2D based Communication for 5G Networks

D2D based communication holds a promising future for 5G networks as they are efficient and can yield high data rates, good signal to noise interference ratio, improved resource-block uploading time, minimized delay from one end to the other and conserved power for transmission. The traditional system of cellular type contains cell edge clients who need a larger resource blocks count as well as time to upload data. Hence the quality of service will be reduced. The relay scheme in the proposal for cooperative type D2D networks is pivoted on the value of channel gain as well as transmission link distance. For bringing down the resource blocks’ count as well as uploading time, the paper is proposing a capable scheme of selection of relays that employs communication of D2D in the situations of uplinking. To begin with, in a cell modeling is done. It contains D2D pairs of multiple types as well as cellular clients. Next, the analysis related to issues of allocating resources as well as control of power is done. In order to lessen the resource blocks as well as their uploading time, the paper in proposal suggests a better blocks management mechanism that uses D2D based communication. Simulated output infers that the method in the proposal is superior to the present methods as far as time to upload contents; resource blocks, SINR, throughput as well as rates of data and Energy Consumption are concerned. Added to that, the stated method conserves 43% of the Energy Consumption of the network clients and while doing that the time to upload the contents is not affected.