5G网络中吞吐量最优的D2D通信模式选择

针对在5G通信网络中,联合资源分配方式下的D2D(Device-to-Device)通信模式选择问题,提出了利用启发式算法代替匈牙利算法对D2D的模式选择进行优化的通信模型;本算法在保证了D2D通信对尽可能多接入的同时,最大化系统总吞吐量。分析结果说明,此算法能显著优化系统总吞吐量,减少用户之间的通信干扰,证明了该通信模型的合理性和高效性。     

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.     

5G关键技术：D2D通信技术应用

本文对D2D通信技术进行了研究,并对其应用场景进行了简要分析。     

5G通信技术研究

全球移动用户数量的增加以及用户对速度和通信质量要求的提高直接促进了通信技术的飞速发展。第五代通信系统是面向2020年以后人类信息社会需求的无线移动通信系统,它是一个多业务技术融合的网络,通过技术的演进和创新,满足未来广泛的数据、连接的各种业务不断发展的需要,提升用户体验。     

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。     

D2D通信技术研究

首先描述了近距离通信的技术特点和应用场景,并与其他相关技术进行了比较,深入研究了近距离通信技术的网络架构,并从ProSe Direct Discovery、ProSe Communication两个方面详细研究了各功能实体间的接口及其功能,最后分析了该技术的发展现状以及未来趋势.     

LTE-A网络中D2D通信的资源分配算法研究

该文研究了D2D通信使用LTE-A网络上行链路的资源分配问题。首先将问题建模为混合整数非线性规划问题(MINLP),其次根据待接入用户对各信道的青睐程度计算特征值列表并形成相应联盟。在保证各用户服务质量(QoS)的情况下,利用最大加权二部图匹配(MWBM)方法为待接入网络用户寻找合适的资源及复用的组合。仿真结果表明,该算法打破了D2D用户在数据传输过程中一直处于专用或者复用模式的束缚,扩大了D2D用户对可选用的资源范围,与现有算法相比,可有效提高系统的总速率。     

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...     

全负载蜂窝网络下多复用D2D通信功率分配算法研究

针对全负载蜂窝网络中D2D通信的功率分配问题,该文提出了一种基于非合作完全信息博弈纳什均衡解的多复用D2D通信功率分配算法。以优先保证蜂窝用户通信质量与D2D用户接入率为前提,设置D2D通信系统上行链路帧结构,之后建立非合作完全信息博弈系统模型,引入定价机制到功率分配博弈模型中并分析纳什均衡解的存在性与唯一性,最后给出该模型的分布式迭代求解算法。仿真结果表明,随着D2D用户复用数量的增加,该算法在提升系统吞吐量的同时,能有效地控制系统内部干扰,大幅度降低系统总能耗。

     

Performance Tradeoff Between Energy Conservation and User Fairness for D2D Communication Underlaying Cellular Networks

Device-to-Device (D2D) communication is viewed as an emerging technology in the fifth generation systems to fully explore the proximate gain residing in lo-cal communicating pairs. But the interference imposed to the existing Cellular links (C-link) should be addressed in the optimization for underlaid D2D links (D-link). There is a performance tradeoffbetween Energy conservation (EC) and the number of links with satisfied Quality-of-service (QoS) requirement or System capacity (SC). We aim to weight the above tradeofffor D-links by specifying it into optimizing EC on the condition that SC is maximized and QoS requirements of C-links are fully guaranteed. A three-stage joint power control and channel assignment mecha-nism is proposed including feasibility check, SC maximiza-tion and greedy optimization for EC. Thanks to numeri-cal results, we illustrate the necessity to conduct our per-formance tradeoffand observe the gain when multiple re-source variables are in elaborate cooperation.     

基于加权二部图及贪婪策略的蜂窝网络D2D通信资源分配

D2D(Device-to-Device)通信是解决频谱资源稀缺问题的关键技术之一。该文研究蜂窝网络中“many-to-many”的复杂场景,即单个RB(Resource Block)可以分配给多对D2D用户重用,并且允许单个D2D用户对使用多个RB,其中D2D用户对数量远多于蜂窝用户设备(Cellular User Equipment, CUE)数量和RB数量。考虑CUE对资源使用具有更高优先级,将此优化问题分解为蜂窝用户资源分配和D2D用户资源重用两个阶段。在第1阶段,提出基于公平性的循环二部图匹配(Fairness-based Circular Bipartite Graph Matching, FCBGM)算法,将现有的RB分配给所有CUE,以最大化蜂窝用户和速率。在第2阶段,分别提出基于二部图的资源重用(Bipartite Graph-based Resource Reuse, BGRR)算法和基于贪婪策略的资源重用(Greedy-based Resource Reuse, GRR)算法,目标是将已经分配给CUE的RB再次分配给D2D用户重用,以最大化系统和速率,同时确保CUE的基本速率需求。仿真结果表明,在D2D用户对数量远大于CUE数量和RB数量的情况下,与现有典型算法相比,所提算法能够有效提高系统和速率,增加D2D接入率,同时兼顾用户公平性和服务质量需求。     

Incentive Scheme for Slice Cooperation Based on D2D Communication in 5G Networks

In the 5th generation(5G)wireless communication networks,network slicing emerges where network operators(NPs)form isolated logical slices by the same cellular network infrastructure and spectrum resource.In coverage regions of access points(APs)shared by slices,device to device(D2D)communication can occur among different slices,i.e.,one device acts as D2D relay for another device serving by a different slice,which is defined as slice cooperation in this paper.Since selfish slices will not help other slices by cooperation voluntarily and unconditionally,this paper designs a novel resource allocation scheme to stimulate slice cooperation.The main idea is to encourage slice to perform cooperation for other slices by rewarding it with higher throughput.The proposed incentive scheme for slice cooperation is formulated by an optimal problem,where cooperative activities are introduced to the objective function.Since optimal solutions of the formulated problem are long term statistics,though can be obtained,a practical online slice scheduling algorithm is designed,which can obtain optimal solutions of the formulated maximal problem.Lastly,the throughput isolation indexes are defined to evaluate isolation performance of slice.According to simulation results,the proposed incentive scheme for slice cooperation can stimulate slice cooperation effectively,and the isolation of slice is also simulated and discussed.     

面向蜂窝网络的D2D多播通信的分簇和中继选择方法

传统蜂窝网络中,信道衰减的随机性和不确定性导致小区边缘用户的接收性能很差,尤其是面向视频传输等速率要求较高时其弊端更加凸显。D2D通信因其配置灵活性可作为传统蜂窝网络架构的有利补充,能有效改善边缘用户的性能。该文针对D2D通信的多播传输,分析了系统最小时延成本下的中继数量和分簇算法,提出一种基于分簇和中继选择的低时延D2D多播方案。该方案可以自适应选择多播重传中的中继的数量和中继节点到基站的距离,同时给出最优的带宽资源分配机制。仿真结果表明,与其他方案相比,所提方法能有效减少系统时延,提高边缘用户体验和系统性能。     

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。     

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.

     

基于非均衡求解的D2D多复用通信资源块分配算法研究

针对小区内D2D多复用的通信资源块分配问题,该文以一个D2D用户分别复用2个和3个蜂窝为基础,提出基于非均衡求解的D2D多复用模式下的资源块分配方案。利用博弈论将资源块划分问题转化为求解被复用蜂窝用户收益联合最大问题。当纳什均衡解不存在时,分析目标函数特性,在可行域内求解“最优解”,保证对不均衡解处理的最优性;对于均衡解存在的情况,将其取整后作为资源分配方案依据,保持其最优性。通过理论分析及仿真实验表明该算法可以提升系统吞吐率,提高小区通信性能。     

D2D/蜂窝通信模式切换与联合功率控制方案

设备直连（Device-to-Device, D2D）通信技术通过复用蜂窝系统的频谱资源提高频谱利用率,但D2D的引入会给蜂窝系统带来干扰。如何合理地选择D2D/蜂窝通信模式并进行功率优化控制,成为减小D2D和蜂窝系统间干扰、提升网络性能的关键。本文考虑D2D用户复用蜂窝上行链路场景,提出了一种基于距离和联合功率控制的通信模式选择方案。在该方案中,D2D用户和蜂窝用户与基站距离的比值决定了D2D用户是否采用Underlay模式进行通信,进而在约束蜂窝用户和D2D用户发射功率的条件下实现D2D链路和蜂窝链路的联合功率控制,最终推导出能够最大化系统总吞吐量的最优用户功率分配方案。根据仿真结果,本文提出的联合功率控制方案能够在降低系统间干扰的同时有效提高D2D和蜂窝系统的总吞吐量,进而提高了系统的性能。