一种基于容量最大化的D2D通信资源分配算法

在蜂窝网络中,设备到设备(Device-to-Device,D2D)通信技术通过使D2D用户复用蜂窝用户的频谱资源来有效提高系统的频谱效率。但是,频谱复用会造成蜂窝用户和D2D用户之间的干扰,影响整体的通信质量。在保证二者的用户服务质量的前提下,提出了一种以系统容量最大化为目标的资源分配方法。由于所建立的优化问题是一个混合整数非线性问题,因此将问题分解为功率控制和信道分配两个子问题。通过在有限集中搜索最优解来解决功率分配这一非线性规划问题,然后利用改进后的匈牙利算法实现信道资源的分配。仿真结果表明,此算法能够有效提高蜂窝网络的系统容量。     

D2D中继网络负载均衡的中继选择算法

主要研究D2D(终端直通)系统与蜂窝网络共存时,D2D到基站的中继选择问题。引入考虑路径损耗及衰落的系统架构,导出选择D2D中继的距离范围。在此基础上对两种基本中继选择算法的中断概率进行推导和分析。提出负载转移的最优中继选择算法,旨在降低中继选择时的中断概率,提高系统整体性能。仿真结果说明提出的LTBRS(负载转移最优中继选择)算法比传统的最优中继选择和随机中继选择性能更优。     

适用于D2D通信复用蜂窝网络下行资源的干扰抑制方法

因为蜂窝通信和D2D通信复用相同的小区下行资源,所以这两类通信的内干扰的现象必须引起我们足够的重视。因此,本文将会简要的讨论一下适用于D2D通信复用蜂窝网络下行资源的干扰抑制方法,以便能对科研工作者和学者产生一定的参考价值。     

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。     

D2D通信系统的干扰协调与资源优化

本文首先分析了同构网络下的D2D系统干扰协调和资源优化问题,简要介绍了基于部分位置信息的D2D干扰协调和资源优化,再对单小区和多小区的D2D功率控制和信道分布简单介绍。其次,文章再针对异构网络下的D2D资源优化,从异构网络下的D2D模式选择和信道分配以及异构网络下的D2D中继资源优化两个方面进行研究。     

D2D通信系统中节能功率控制算法

针对设备到设备(D2D)通信的功率控制问题,该文提出一种带有权重的优化异构小区能效的目标以及在该问题下一个基于博弈理论的学习方法。具体地,在利用一个下界表达式代替原始优化目标的情况下,建模这个功率控制问题为一个势博弈模型,并且证明它的最优纳什均衡点就是优化下界的最优解。最后,为了找到这个最优的纳什均衡点,设计一个低复杂度和快速收敛的学习算法。仿真结果表明该文提出方法的可行性和有效性。     

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。     

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。     

基于时延优化的蜂窝D2D通信联合用户关联及内容部署算法

针对蜂窝网络传输性能及基站(BS)缓存能力受限,多用户内容请求难以满足用户服务质量(QoS)需求等问题,该文提出一种蜂窝终端直通(D2D)通信联合用户关联及内容部署算法。考虑到位于特定区域的多用户可能对于相同内容存在内容请求,该文引入成簇思想,提出一种成簇及内容部署机制,通过为各簇头推送热点内容,而簇成员基于D2D通信模式关联簇头获取所需内容,可实现高效内容获取。综合考虑成簇数量、用户关联簇头、簇头缓存容量及传输速率等限制条件,建立基于用户总业务时延最小化的联合成簇及内容部署优化模型。该优化问题是一个非凸的混合整数优化问题,该文运用拉格朗日部分松弛法,将原优化问题等价转换为3个凸优化的子问题,并基于迭代算法及Kuhn-Munkres算法联合求解各子问题,从而得到联合成簇及内容部署优化策略。最后通过MATLAB仿真验证所提算法的有效性。     

Research on the interference control and resource allocation in D2D communication

In order to solve the problem of interference caused by D2D users reuse cellular resources in cellular network,an algorithm of interference control and resource allocation of D2D communication in single cell cellular system was proposed.Firstly,an interference graph was constructed according to the interference between users in the system to find the reusable channel resource for D2D users.Then,the channel resource pre-allocation and the channel switching policy were performed for D2D users in sequence according to the preset D2D user priority.The simulation results show that the proposed algorithm can significantly improve the system throughput and the access rate of D2D users so that the system can achieve better performance in the presence of small or large number of D2D users.     

D2D中继辅助通信的能效优化算法研究

针对蜂窝系统下D2D中继辅助通信的能量效率优化问题,在保证蜂窝用户与D2D用户服务质量的条件下,提出了一种能效优化算法。首先,以最大化系统中总D2D用户能效为目标,将优化问题建模为一个混合整数非线性规划问题。然后,将能效优化问题转化为功率控制、中继选择和信道分配3个子问题分别进行求解。最后,利用Dinkelbach方法和拉格朗日乘子方法解决功率控制问题;利用所提出的基于Q学习的中继选择算法完成中继的选择;基于功率控制和中继选择,利用匈牙利算法完成信道的分配。仿真结果表明,与现有算法相比,所提算法可有效提高系统D2D用户的总能效。     

TD-SCDMA终端一致性测试系统研究开发

本文首先阐述了TD-SCDMA终端一致性测试系统研究开发的必要性和相关背景,然后提出了TD-SCDMA终端一致性测试系统研究开发方案,最后简要介绍了信息产业部电信研究院的实践情况.     

Survey of software defined D2D and V2X communication

The related D2D (device-to-device) and V2X (vehicle-to-everything) are regarded as vital components of 5G communication system,which providing alternative network services and multiple application services for cellular network.In the meanwhile,SDN (software defined networking) can improve the compatibilities and flexibilities of D2D and V2X.SD-D2D (software defined D2D communication) and SD-V2X (software defined V2X communication) technologies were reviewed.Based on their similarities and respective characteristics,their state-of-arts and architectures were reviewed accordingly,and the key technologies such as D2D location/discovery management,D2D routing control,D2D flow table management,V2V path scheduling,and V2V path recovery were analyzed.Finally,it was pointed out that the SD-D2D architecture was approaching mature and the SD-V2X framework had been preliminarily determined,the existing problems of interference management,mobile management and routing management in D2D/V2X communication could be effectively solved.Furthermore,it was also pointed out that the disconnection between the existing SD-D2D/V2X studies and the actual application needed to be overcome.     

基于LTE D2D技术的车联网通信架构与数据分发策略研究

基于5G通信技术的车联网面临高速率、低时延、高可靠性和大量流媒体数据分发等需求,提出了一种基于LTE D2D的车联网通信架构,设计基于运动一致性的车辆分簇算法,有效增加持续D2D通信时间,提高通信可靠性;其次,针对簇内车辆的流媒体数据分发,提出一种带时延约束的D2D协作中继转发策略,设计最优中继选择算法,大幅提高数据传输速率,提升网络吞吐量。     

Relax online resource allocation algorithms for D2D communication

Maximizing the system sumrate by sharing the resource blocks among the cellular user equipments and the D2D (device to device) pairs while maintaining the quality of service is an important research question in a D2D communication underlaying cellular networks. The problem can be optimally solved in offline by using the weighted bipartite matching algorithm. However, in long‐term evolution and beyond (4G and 5G) systems, scheduling algorithms should be very efficient where the optimal algorithm is quite complex to implement. Hence, a low complexity algorithm that returns almost the optimal solution can be an alternative to this research problem. In this paper, we propose 2 less complex stable matching–based relax online algorithms those exhibit very close to the optimal solution. Our proposed algorithms deal with fixed number of cellular user equipments and a variable number of D2D pairs those arrive in the system online. Unlike online matching algorithms, we consider that an assignment can be revoked if it improves the objective function (total system sumrate). However, we want to minimize the number of revocation (ie, the number of changes in the assignments) as a large number of changes can be expensive for the networks too. We consider various offline algorithms proposed for the same research problem as relaxed online algorithms. Through extensive simulations, we find that our proposed algorithms outperform all of the algorithms in terms of the number of changes in assignment between 2 successive allocations while maintaining the total system sumrate very close to the optimal algorithm.     

TD-LTE系统UE端PDCCH信道的研究与实现

通过对UE端PDCCH信道的研究,结合LTE系统下行链路的特性,提出了一种接收并解析PDCCH承载的下行控制信息DCI的DSP实现方案,该方案已经在TMS320C64x DSP中实现.将该方案应用于TD-LTE射频一致性测试系统的开发中,实际运行验证了该方案的可行性、高效性.     

基于信干噪比的D2D通信功率控制与资源分配

为了优化长期演进(LTE)系统引入设备直传(D2D)通信后带来的同频干扰、系统边缘用户性能恶化问题,提出一种基于信干噪比(SINR)的多小区D2D通信资源分配方案,通过调整信干噪比阈值将部分蜂窝用户(CU)转化为D2D用户并释放频谱资源进而获得较佳的资源分配策略,同时提出一种基于小区间D2D竞争机制的配置算法有效降低小区间干扰.仿真表明,算法能够有效提升系统容量,并提升小区边缘D2D用户公平性.     

WCDMA手机上网节电方法探究

通过对WCDMA功控算法的深入研究,提出降低手机上网功耗的方法,并在现网中验证,利用MR内部测量数据对手机发射功率变化情况进行评估。从实验效果来看这些方法可有效降低手机的功耗、减轻系统上行负荷,达到改善用户体验、提升系统容量的目的。     

Power allocation criteria for distributed antenna systems with D2D communication

In this paper, we discuss four different optimization problems for distributed antenna systems (DAS) with and without D2D communication, respectively. The first and the third problems are maximizing spectral efficiency (SE) and energy efficiency (EE) of the DAS with D2D communication on the conditions of the minimum SE of DAS as well as D2D pair, the maximum transmit power of each remote access unit (RAU) and maximum transmit power of D2D transmitter. The second and the forth problems are maximizing SE of the DAS on the conditions of the minimum SE as well as the maximum transmit power of RAUs. We exploit the sub-gradient iteration method to obtain the optimal power allocation and summarize optimal power allocation algorithms for the first and second problems. We exploit fractional programming method to investigate the third and fourth problems and develop corresponding optimal power allocation algorithms. Simulation results demonstrate the effectiveness of the proposed power allocation algorithms and show the SE and EE of the DAS by using D2D communication are much better than DAS without D2D communication.