面向5G的D2D通信技术评述

随着智能终端设备不断增加和网络流量的持续上升,现有的通信技术已无法满足未来通信要求。终端直通（Device-to-Device,D2D）通信作为第五代移动通信网（5G）的关键技术能有效缓解数据压力,提高频谱利用率。本文介绍了D2D的优点,详细分析了D2D通信中的关键技术环节,展望了D2D未来发展重点及主要方向。     

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...     

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.     

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。     

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...     

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.

     

面向5G的D2D资源优化算法研究

科技的迅猛发展和智能化设备的不断涌现使得频谱资源的匮乏更加明显,不断推进5G的研发和投产成为了当前通信行业的大趋势之一。为了解决无线网络用户增多带来的用户间互相干扰大及传输速率低等问题,文中从D2D通信模型的介绍入手,首先对D2D通信中的资源共享模式进行了详细介绍,然后分别对MIMO系统模型和MIMO—D2D系统模型进行了介绍,最后在对网络资源分配方案优化设计的基础上,研究了基于最大SLNR准则的网络资源优化算法。     

面向5G网络切片无线资源分配

未来网络需要满足多种应用场景在时延、可靠性和速率等方面的不同要求,然而只构建一种网络难以满足所有应用场景的需求.网络切片技术即在一个物理基础设施之上构建多个逻辑网络以满足不同类型应用场景的需求,能够实现专用电信网络所具有的所有功能,且用户感受不到差别.无线接入网切片是端到端网络切片的一部分,而无线资源分配又是无线接入网切片的重要内容.本文提出了一种基于比例公平算法的半静态资源分配方案,在各网络切片之间实现更公平的资源分配.仿真结果对比了三种资源分配方案,半静态资源分配方案获得的公平性优于其他两种资源分配方案.