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。     

D2D通信中Chief UE应用的研究

Chief UE的作用是辅助实现D2D通信与蜂窝网络通信更好地无缝切换并且提高通信的质量。对Chief UE的概念进行了详细描述,并且对于其在切换中的作用进行了相应的阐述和论证:在传统D2D通信的基础上,定义了其中一个性质稳定良好的UE为Chief UE,进行D2D连接的内部管理和通信,并且在需要切换时,能够进行通行保持直到整个通信切换的完成和结束。将具有Chief UE的D2D切换同不具有Chief UE的D2D切换进行了相应的对比和论述,以更好地论证Chief UE存在的必要性。     

System utility based resource allocation for D2D multicast communication in software-defined cellular networks

Device-to-device (D2D) multicast communication is a useful way to improve the communication efficiency of local services. This study considers a scenario of D2D multicast communication in software defined cellular network and investigates the frequency resource allocation problem. Firstly, we build the system model and formulate the optimization problem. Secondly, a hierarchical scheme to achieve a suboptimal solution is proposed. To select appropriate user equipments (UEs) as potential D2D transmitters (PDTs), a social aware PDT selection method is proposed. Then, a resource allocation algorithm considering users’ priorities is proposed. Furthermore, to study the resource allocation for general system that UEs without priorities, a non-priority considered allocation algorithm is proposed also. Numerical simulation results show that the proposed schemes are effective in improving the system utility and reducing the resource consuming for D2D communications.     

MrFbP: Markov random field-driven spatial entropy-based routing protocol in opportunistic networks

Recently, research towards technologies associated with the 5G communication is in full operation. Amongst these enabling technologies, device-to-device(D2D) communication is one of the critical factors for scaling up the network efficiency in 5G communication. Intermittent connections due to higher mobility lead to frequent path breaks, and hence a mobility-based opportunistic routing is suitable enough to control the forwarding process. Opportunistic networks (OppNet) use the pairwise opportunistic contacts and higher mobility to rely on the store-carry and forward mechanism for routing purpose. In this work, a novel mobility-induced context-based routing process has been designed to support D2D communication. The designed Markov random field-induced protocol (MrFbP) is based on spatial entropy for capturing the coverage span of the forwarding node in the network. The work relies on the monitored historic mobility of a node and is then used to capture the utility metric for taking forwarding decision. MrFbP is compared against the established Direct Delivery (DD), Epidemic (EP), Spray & Wait (SW), and PropHet (PR) on parameters like throughput, delay, hops, overheads, and energy consumption. Simulation has been carried out using ONE simulator to validate an improvement in the design of a designed protocol against the baseline protocols.     

提高蜂窝网络中数据分发效率的D2D协作转发算法

Device-to-Device(D2D)通信是一种移动终端在蜂窝通信系统的控制下使用授权频段进行点到点通信的新型技术。通过允许接收终端间的数据转发,D2D通信可以用来提高蜂窝网络中的数据分发效率。现有的终端间转发算法,没有充分考虑D2D链路的差异,很难实现频谱资源的高效利用。为此,该文提出了一种基于多跳中继的D2D协作转发算法,包括多播和单播两个模式。该算法根据D2D链路质量自适应地选择最优的中继、路由及传输跳数,能够充分利用D2D链路的多信道分集增益。仿真结果表明,该文所提出的算法能够显著地提高D2D转发的资源利用率,进而提升数据分发业务的吞吐量。     

Multi-layer neural network algorithm for vehicle-to-everything communication in 5G networks

Internet of Vehicles (IoVs), the emerging trend of Internet of Things (IoTs), has undoubtedly become a promising trend to improve communication among vehicles on the roads. Vehicle-to-everything (V2X) communication that is based on 5G technology enables vehicle users to communicate and collaborate with each other to enhance road traffic efficiency and safety. Owing to the increased traffic load and restricted resources of existing network substructure, a channel that responds to the latency and reliability needs of V2X communication must be designed. Thereby, several intelligent spectrum allocation techniques have been proposed to improve the system's overall effectiveness. In this paper, we discuss the spectrum sharing issue of V2X communication in Device-to-Device (D2D)-based cellular networks. We propose a new multi-layer neural network (MLNN)-based Resource Allocation and sharing approach (MNNRA) for D2D-based V2X communications. According to the main advantages of MLNN, the proposed algorithm takes several profits by improving system performance while reducing computational complexity. Numerical analysis is presented to approve the effectiveness of our proposed solution in terms of network sum rate, packet reception ratio, resource utilization ratio, and time complexity.     

V2X技术发展历程及应用研究

V2X车联网技术作为物联网的具体应用,同时在智能交通系统中发挥着巨大的作用.随着科技的不断发展,V2X技术在中国也得到了飞快的提升.本文通过对V2X技术的分析与讨论,对现有的V2X技术进行了一个总结.首先通过分析V2X概念及车联网的Ad hoc网络结构与分层网架构,进一步介绍了V2X车联网技术在国内外的发展情况,并阐述了V2X在实际交通中的几个重要应用,最后通过分析车联网在技术上的关键问题,希望能为车联网的进一步研究提供方向.     

Radio resource management scheme and outage analysis for network-assisted multi-hop D2D communications

In a cellular network it's very difficult to make spectrum resource more efficiently. Device-to-Device (D2D) technology enables new service opportunities, and provides high throughput and reliable communication while reducing the base station load. For better total performance, short-range D2D links and cellular links share the same radio resource and the management of interference becomes a crucial task. Here we argue that single-hop D2D technology can be used to further improve cellular networks performance if the key D2D radio resource management algorithms are suitably extended to support multi-hop D2D communications. Aiming to establish a new paradigm for the analysis and design of multi-hop D2D communications, We propose a radio resource allocation for multi-hop D2D routes based on interference avoidance approach in LTE-A networks. On top of that, we investigate the outage probability of D2D communication. We first introduce a new definition of outage probability by considering the maximum distance to be allowable for single-hop transmission. Then we study and analyze the outage performance of a multi-hop D2D route. We derive the general closed form expression of outage probability of the multi-hop D2D routes. The results demonstrate that the D2D radio, sharing the same resources as the cellular network, provide higher capacity compared to pure cellular communication where all the data is transmitted through the base station. They also demonstrate that the new method of calculation of D2D multi hop outage probability has better performance than classical method defined in the literature.     

联合V2X通信和最小跳数距离的车辆定位方法

针对传统V2X定位方法定位成功率及定位精度较低的问题,提出了一种联合V2X通信和最小跳数距离的车辆定位方法。车辆利用最小跳数距离估算自身与通信范围外辅助节点间的相对距离,并利用路径相似度因子最高的辅助节点对该误差进行补偿,从而改善定位性能受通信距离约束的局限性。同时,综合考虑距离、辅助节点类型对定位性能的影响,利用加权最小二乘法对车辆位置坐标进行解算,提升定位的精度。仿真结果表明,所提定位方法与V2X定位方法相比,在定位成功率及定位精度方面分别提升38.6%和12.5%,具有一定的应用价值。     

面向车联网通信的OTFS信号检测算法综述

车联网(Vehicle to Everything, V2X)通信被认为是未来无线通信网络最重要的应用之一。然而,车辆在高速移动时引起的高多普勒频移会严重恶化V2X通信链路的性能。正交时频空(Orthogonal Time Frequency Space, OTFS)调制技术可以将时间和频率选择性信道转换为时延-多普勒(Delay-Doppler, DD)域的非选择性信道,从而显著提高无线通信系统在高移动性场景下的性能,在V2X通信中具有重要的应用价值。但OTFS调制技术极大地增加了系统接收端的复杂度,研究低复杂度信号检测算法成为了新一代无线通信系统采用OTFS调制的关键问题之一。为此,综述了面向车联网V2X通信的OTFS信号检测算法。首先介绍了OTFS系统模型,然后概述了现有的低复杂度OTFS信号检测算法,并将其分为线性检测算法、消息传递(Message Passing, MP)检测算法及其改进算法、基于神经网络的检测算法3类,最后探讨了V2X通信中OTFS信号检测目前所面临的技术挑战与未来的发展趋势。     

D2D communication with energy harvesting relays for disaster management

ABSTRACT

In this paper, we consider a multi-hop device-to-device (D2D) communication, which enables communication from functional area (FA), where the D2D users are placed near to base station (BS) under its coverage to non-functional area (NFA). In our proposed model, random deployment as well as certain distance-dependent deployment of D2D node is considered in NFA. In case of FA, BS is transmitting information with fixed transmit power in multi-hop D2D network. In case of NFA, a D2D node harvests energy from its preceding node, and forwards the information to the successive node. Parallel best path selection (PBPS) and immediate best path selection (IBPS) strategies are considered for FA while several cases of deployment strategies based on inter-node distance is considered for NFA to reach the final destination node. A framework has been proposed for evaluating throughput, ergodic capacity and outage probability. Energy consumption in the system has been estimated via simulation. The throughput performance, ergodic capacity and the outage probability of end-to-end link (i.e. from BS to NFA) under different system parameters are evaluated.     

D2D研究现状及发展前景

LTE Device to Device(D2D)Proximity Services(LTE终端直通近距离服务)即我们熟知的LTE-D2D(端到端)技术。2013年,D2D成为3GPP组织重点研讨技术之一,其标准化工作正在讨论完善之中。LTE-D2D是在LTE-A系统(辅助)控制或无网络基础设施的情况下,用户设备在授权频段上直接进行通信的技术。它的出现将在一定程度上缓解无线频谱资源匮乏的问题,并能够提升蜂窝系统频谱效率。文章对D2D通信的发展历程、场景和关键技术进行了介绍,最后展望D2D技术发展前景及在未来应用中的情况。     

应用于二维Mesh结构片上网络的区域转弯路由算法

本文针对二维Mesh结构片上网络,在转弯模型的基础上提出一种新的路由算法——区域转弯算法,以获得更低的延迟时间和更高的吞吐率.该算法利用当前节点的X坐标,将整个Mesh网络划分为两个部分,目的节点X坐标小于当前节点X坐标的实行西优先算法,反之实行北最后算法.仿真结果表明,该算法相比于XY路由算法,平均延迟时间有所降低,当负载为40cycles/message时,延迟时间降低最大,为13.99%.吞吐率在负载为20cycles/message时最大提高13.56%.     

Network coded multicast for multi-hop D2D communication systems

ABSTRACT

In this paper, we consider the wireless communication systems where multi-hop Device-to-Device (D2D) networks can coexist with the conventional cellular networks by sharing the downlink resource of cellular users (CUs). A multicast data flow is distributed over the multi-hop D2D networks where network coding (NC) can be employed at the intermediate nodes. To maximize the utility of the multicast flow, we formulate a joint optimization problem for the systems while guaranteeing the quality-of-service (QoS) for regular CUs. We propose a subgradient algorithm to solve the optimization problem by decomposing it into three sub-problems: multicast rate control, NC subgraph selection, and downlink resource reusing. In particular, we develop a greedy algorithm to deal with the downlink resource reusing sub-problem for it is NP hard. Numerical and simulation results prove the superior performance of the proposed techniques compared with the conventional routing scheme.     

Scaling Group Communication Services with Self-adaptive and Utility-driven Message Routing

Group communication services typically generate large multicast data streams. Delivering such massive data streams to the end system nodes at the edge of the Internet has been a challenging problem in terms of high stress on the network links and high demand on network resources and routing node capacities. Most of existing research has been dedicated on geo-distance based routing with various optimizations to alleviate the performance impact on geo-distance based routing due to unpredictable network dynamics. Most representative techniques are targeted at reducing the delivery path length or optimizing routing path by utilizing network locality. In this paper, we identify the inefficiency of geo-distance based routing protocols in many existing multicast overlay networks in terms of both resource utilization and group communication efficiency. To address this issue, we develop a utility-based routing scheme (UDR) that can provide efficient group communication services in a decentralized geographical overlay network. Our approach makes three unique contributions. First, we introduce a utility function to refine the geo-distance based routing in such a way that the routing path selection can carefully incorporate both geo-distance based metric and the network latency. Second, we enhance our utility driven routing scheme with self-adaptive capability by considering the nodes?? state and network density. Thus, nodes in the multicast network can dynamically accommodate the changes of network conditions based solely on their local knowledge about the network. Third, we devise a suite of optimization techniques to minimize the maintenance cost and computational complexity of our self-adaptive and utility-drive routing scheme. We evaluate our approach through extensive experiments based on a realistic network topology model and show that the UDR method is highly scalable and it effectively enhances the multicast delivery efficiency for large scale group communication services compared to existing geo-distance based routing protocols.     

LTE与D2D异构网络的应用场景分析

文章首先介绍了LTE/D2D异构网络的发展背景。针对目前研究所涉及到的应用场景的多样性与差异性,我们对其进行了归纳分析。通过对LTE/D2D异构网络应用场景的分析,可以看出LTE/D2D异构网络具有极其广泛的前景,并且能有效节约信道资源、提高网络容量。     

D2D通信中一种基于FFR的动态功率控制方案

工作在underlay方式下的D2D(device-to-device)通信利用资源复用共享蜂窝网络中的资源,在提高频谱资源利用率、降低移动终端功耗的同时,会给已有蜂窝网络带来干扰。在保证D2D用户和蜂窝用户的服务质量的前提下,研究了蜂窝用户和D2D用户的功率控制和资源分配问题。首先引入部分频率复用(FFR)实现蜂窝用户和D2D用户之间的资源划分和复用;然后以系统吞吐量最大化为原则,建立优化目标。结合部分功率控制(FPC)的基本思想,进而提出了一种动态功率控制(DPC)策略。仿真结果表明,所提出的方案能够有效地提高多小区系统的性能。     

V2X关键技术应用与发展综述

V2X（Vehicle-to-Everything）通信技术是智能交通和智能汽车的支撑技术之一,但目前仍然面临技术路线不明确、政策发展滞后等问题,尚未得到有效推广。系统阐述了V2X技术的内涵和重要作用,重点解析了专用短程通信（Dedicated Short Range Communication,DSRC）和基于蜂窝网络的车辆对外通信（Cellular-V2X,C-V2X）两类V2X主要技术路线的特点和当前问题,总结了国内外相关政策法规、技术标准和产业化活动的最新进展,在此基础上分析了未来V2X技术发展的关键趋势,从而为国家制定V2X相关政策法规、企业明确技术战略方向提供参考。     

Media Independent Mobility Management for D2D Communications over Heterogeneous Networks (HetNets)

The rapid growth of traffic demand and innovation of mobile networks have pushed the current communication infrastructure to provide a tight integration of different wireless technologies. On the one hand, all user connections are expected to be heterogeneous in future networks and thus an intelligent mobility management is essential to satisfy the requirements of lower latency, less power consumptions and last but not least possible uninterrupted ongoing session when a User Equipment (UE) moves across network boundaries. On the other hand, Device-to-Device (D2D) communication as a revolutionary technology to enhance network performance has shown a great potential in dominating future communication market. Consequently, in this paper, we investigate the mobility management problem for D2D communications in heterogeneous networks. We leverage on IEEE 802.21 Media Independent Service (MIS) and propose a new framework, so-called enhanced version of IEEE 802.21 MIS that supports D2D communication (E-MIS-D2D) to enhance D2D mobility experience over heterogeneous networks. The E-MIS-D2D is a network assisted and initiated architecture, in which a load-aware mode selection algorithm is also proposed for selecting the transmission mode between D2D and non-D2D modes. Through extensive simulations, we validate that the proposed method outperforms the existing methods in terms of packet loss ratio, average throughput, latency, bandwidth usage and load rate of eNB.

     

下一代智能融合城域网方案

首先论述了目前运营商城域网存在的主要问题、智能城域网的引入背景和应用的主要技术，然后结合城域网的规模和技术引入时间介绍了网络部署方案和业务组织方案，并对通信云建设过程中与智能城域网的融合方式进行了分阶段阐述。通过分析，指出智能城域网建设是运营商SDN/NFV网络重构和云网融合过程中的重要环节，对于综合承载现有城域业务，应对未来业务云网边协同都有着重要价值，需要结合建设过程不断积累运营经验。