基于OFDM星载交换的星地上行链路跨层设计算法

以基于OFDM的星载交换方案为研究背景,提出了此星载交换方案的星地上行链路跨层设计工作流程和相关算法.此算法以使点波束星地上行链路的传输容量最大化为目标,根据各个地面设备的星地上行链路信号发射功率上限、当前星地上行链路信道状态、每个星地上行链路传输业务的业务类型、业务传输速率要求等参数,在各个星地上行链路传输业务之间自适应分配子载波并自适应配置每个子载波的调制制式,生成每个传输业务与子载波的对应关系,充分利用链路资源并尽可能满足传输业务的QoS要求.     

星地时钟同步方案设计及性能分析

在宽带卫星通信系统中,星载通信设备与地面通信设备间的时钟同步性能将会直接影响到整个卫星通信网络的性能。针对基于星上处理和星上交换的宽带卫星通信系统的技术特点,设计了3种星地时钟同步方案,并从链路传输滑动损伤、接收缓存容量、时钟信号的抖动和漂移等几个方面对星地时钟同步方案的性能进行了比较和分析,总结了上述几种同步方式的优缺点,最后给出了建议的星地时钟同步方式。     

星载SAR全球波位参数自适应计算方法

星载SAR运行速度快,轨道高度和地面海拔起伏大,导致针对固定观测位置设计的波位参数无法适用于全球.文中首先分析了星地几何约束、系统性能约束、卫星轨道高度和地面高程变化等对星载SAR波位参数的约束,然后提出一种星载SAR全球波位参数的自适应计算方法.该方法根据观测任务要求自动确定成像时段,并计算成像时段内的星地几何数据;然后自适应计算回避星地几何约束和满足系统性能要求的全球波位参数.     

多载波码分多址系统在瑞利衰落信道中的性能分析

多载波码分多址(MC-CDMA)是一种把多载波和CDMA相结合的技术方案。在MC-CDMA中,每个数据符号通过N个子载波传输,且根据扩频码对每个子载波以0或π相位偏移进行编码。分别研究了MC-CDMA系统上行链路和下行链路的瑞利衰落信道模型以及采用等增益组合和最大比组合的接收机模型,并对上行链路和下行链路的系统误码率性能进行了分析和计算。数值结果表明,MRC在上行链路中的性能要优于EGC,但在下行链路中的抗干扰性能不如EGC。     

多业务MIMO-OFDMA/SDMA系统跨层调度与动态资源分配

对多业务MIMO-OFDMA/SDMA 系统下行链路跨层调度与动态资源分配问题进行了研究.首先,在满足各种约束条件的前提下,以最大化系统吞吐量为目标建立了相应的优化模型;然后,提出了一种基于业务类型和子空间距离的用户分组算法,该算法采用聚类分析的方法在每个子载波上对配置有多根接收天线的用户进行分组,从而降低了调度时所需搜索的用户空间的维数;接着,基于所提出的用户分组算法并结合不同业务的优先级提出了一种新的跨层调度和资源分配算法,该算法充分利用跨层信息为每个子载波调度相应的用户组,并为调度到的用户分配相应的系统资源,从而通过最大化每个子载波的吞吐量近似实现了系统整体吞吐量的最大化.仿真结果表明,与现有的方案相比,所提算法更好地满足了不同业务用户的QoS要求,并获得了更好的吞吐量性能.     

基于随机几何的低轨星座下行通信链路仿真与分析

低轨卫星网络具有低成本、大容量、广覆盖的特性,是未来空天地海一体化网络中的重要支柱和6G网络的关键组成部分,开展链路分析对于低轨星座链路设计与优化具有重要意义。由于低轨卫星移动性强、星地电磁环境复杂、链路较长等特点,星地信息传输与传统地面移动通信有着显著差异。根据低轨星座的特性构建星座网络的随机几何BPP模型,并针对低轨星座空间分布及移动特征,分析了单星及多星场景下的损耗、干扰等对星地通信链路的影响。通过给出星座系统干扰期望计算方法,并基于所构建BPP网络对星地通信链路特性进行仿真。仿真结果表明,构建随机几何的基于BPP分布的星座模型可以很好地模拟卫星网络的状态,采用随机几何对低轨星座下行通信链路进行仿真分析,能够得到更具泛化的星座构型下低轨星座对地面站的干扰情况,为巨型低轨星座网络分析及星地链路设计提供了参考。     

一种星地一体的高速星载标签交换机流量控制机制的设计与仿真

为了优化大容量星载交换机的设计,提出了一种星载标签交换技术体制,针对该体制建立了星地一体化卫星网络的队列模型和流量控制机制,根据星载交换机存储资源使用状态调整地面网络设备队列调度权重,降低星载交换机存储资源使用量和丢包率.使用NS2软件仿真分析了长延迟条件下星上缓存队列阈值、星上缓存区容量、地面设备队列调度权重之间的关系.为星载标签交换机和星地一体化网络的设计提供了参考依据.     

一种LEO-S频段星地链路传输体制研究

由于低轨卫星系统(LEO)具有传输时延短、传输损耗低等优点，对于实现宽带业务、终端的小型化非常有利；另外，S 频段抗雨衰能力强，天线尺寸小造价低，使其很适合卫星移动电话、区域内多用户间数据等业务通信场合。本文针对目前低轨卫星通信需求提出了一种 LEO_S 频段星地链路传输体制，结合用户数量及传输速率要求，对上下行链路的传输体制进行了研究，计算了上下行链路的余量，并有针对性地提出了星地链路抗干扰措施。     

面向星载交换的地面检测系统设计与实现

卫星互联网作为国家新型基础设施建设的重要组成部分，在国家战略、技术发展以及产业需求的多重驱动下，发展迅速。星载交换技术决定着空间网络的容量和组网能力，是实现全域覆盖卫星互联网的关键。针对大容量星载交换设备在轨维修难度大且价格昂贵的问题，设计了面向多接口、大容量星载交换设备的地面检测系统；基于现场可编程门阵列(Field Programmable Gate Array, FPGA)完成了地面检测系统的软硬件开发，实现了地面检测系统的测试和大容量星载交换设备的在地功能测试，保障了星载设备在轨的正常运行。     

OFDM系统中的子载波分配策略

正交频分复用(OFDM)技术是未来宽带无线通信中最流行的技术之一。研究了适用于多用户(OFDM)系统中的多业务间子载波自适应资源分配机制。考虑了每个用的不同业务需求,资源根据每个用户不同的服务质量要求来分配。提出了基于OFDM系统的自适应子载波重分配算法,该算法能够最大程度地灵活分配所有子载波。仿真表明,使用此算法能在很大程度上改善OFDM系统的性能。     

Resource allocation algorithm for LTE networks using fuzzy based adaptive priority and effective bandwidth estimation

In this paper, we propose a scheme to allocate resource blocks for the Long Term Evolution (LTE) downlink based on the estimation of the effective bandwidths of traffic flows, where users’ priorities are adaptively computed using fuzzy logic. The effective bandwidth of each user traffic flow that is estimated through the parameters of the adaptive β-Multifractal Wavelet Mode modeling, is used to attain their quality of service (QoS) parameters. The proposed allocation scheme aims to guarantee the QoS parameters of users respecting the constraints of modulation and code schemes (modulation and coding scheme) of the LTE downlink transmission. The proposed algorithm considers the average channel quality and the adaptive estimation of effective bandwidth to decide about the scheduling of available radio resources. The efficiency of the proposed scheme is verified through simulations and compared to other algorithms in the literature in terms of parameters such as: system throughput, required data rate not provided, fairness index, data loss rate and network delay.     

单蜂窝多用户系统下行链路中一种基于虚用户的调度算法

提出一种应用于机会波束成形系统的基于虚用户的调度方案。在单蜂窝多用户系统下行链路中,将用户的服务质量按其所拥有的应用连接数量划分为若干级别,其中高级用户以多个普通用户的身份参与调度。将该调度方案与传统的PFS算法相结合,提出VU—PFS算法。数值分析表明,新算法在保证系统吞吐量和普通用户间公平性的同时,也为高级用户提供了一定的QoS保障。     

Packet Scheduling with QoS Differentiation

This article focuses on the Quality of Service (QoS) achieved by packet scheduling. A packet scheduling algorithm, which can differentiate the QoS among user and service classes, is presented. The algorithm can be tuned from signal to interference ratio (C/I) based scheduling to Round Robin and beyond. Thus, an operator can choose between optimizing the spectral efficiency or giving a fair QoS distribution among the users within a user and traffic class. By combining the two effects, different strategies can be used for different user and service classes. Simulation results for the downlink shared channel (DSCH) are presented and implementation issues are also discussed.     

Resource Allocation for QoS-Aware OFDMA Using Distributed Network Coordination

This paper considers resource allocation for downlink orthogonal frequency-division multiple access (OFDMA). We propose a subcarrier and power-allocation method that differentiates users per service type to fulfill the quality-of-service (QoS) requirements of each user. Network coordination improves the performance of users at the border of the cells and, thus, decreases the minimum sum power for users with guaranteed performance (GP). Best effort (BE) users are then scheduled to maximize their sum capacity. The proposed method only assumes causal coordination between base stations and can be seen as a generalized macro diversity scheme suited for distributed networks. Numerical results show that network coordination increases the ratio of satisfied GP users, as well as the average data rate of BE users.     

Power control and channel allocation for real‐time applications in cellular networks

The next‐generation packet‐based wireless cellular network will provide real‐time services for delay‐sensitive applications. To make the next‐generation cellular network successful, it is critical that the network utilizes the resource efficiently while satisfying quality of service (QoS) requirements of real‐time users. In this paper, we consider the problem of power control and dynamic channel allocation for the downlink of a multi‐channel, multi‐user wireless cellular network. We assume that the transmitter (the base‐station) has the perfect knowledge of the channel gain. At each transmission slot, a scheduler allots the transmission power and channel access for all the users based on the instantaneous channel gains and QoS requirements of users. We propose three schemes for power control and dynamic channel allocation, which utilize multi‐user diversity and frequency diversity. Our results show that compared to the benchmark scheme, which does not utilize multi‐user diversity and power control, our proposed schemes substantially reduce the resource usage while explicitly guaranteeing the users' QoS requirements. Copyright © 2007 John Wiley & Sons, Ltd.     

Cross-layer resource allocation for QoS guarantee with finite queue constraint in multirate OFDMA wireless networks

Efficient radio resource allocation is essential to provide quality of service （QoS） for wireless networks. In this article, a cross-layer resource allocation scheme is presented with the objective of maximizing system throughput, while providing guaranteed QoS for users. With the assumption of a finite queue for arrival packets, the proposed scheme dynamically a/locates radio resources based on user＇s channel characteristic and QoS metrics derived from a queuing model, which considers a packet arrival process modeled by discrete Markov modulated Poisson process （dMMPP）, and a multirate transmission scheme achieved through adaptive modulation. The cross-layer resource allocation scheme operates over two steps. Specifically, the amount of bandwidth allocated to each user is first derived from a queuing analytical model, and then the algorithm finds the best subcarrier assignment for users. Simulation results show that the proposed scheme maximizes the system throughput while guaranteeing QoS for users.     

QoS‐Guaranteed Multiuser Scheduling in MIMO Broadcast Channels

This paper proposes a new multiuser scheduling algorithm that can simultaneously support a variety of different quality‐of‐service (QoS) user groups while satisfying fairness among users in the same QoS group in MIMO broadcast channels. Toward this goal, the proposed algorithm consists of two parts: a QoS‐aware fair (QF) scheduling within a QoS group and an antenna trade‐off scheme between different QoS groups. The proposed QF scheduling algorithm finds a user set from a certain QoS group which can satisfy the fairness among users in terms of throughput or delay. The antenna trade‐off scheme can minimize the QoS violations of a higher priority user group by trading off the number of transmit antennas allocated to different QoS groups. Numerical results demonstrate that the proposed QF scheduling method satisfies different types of fairness among users and can adjust the degree of fairness among them. The antenna trade‐off scheme combined with QF scheduling can improve the probability of QoS‐guaranteed transmission when supporting different QoS groups.     

Joint QoS-control and handover optimization in backhaul aware SDN-based LTE networks

Future cellular networks will be dense and require key traffic management technologies for fine-grained network control. The problem gets more complicated in the presence of different network segments with bottleneck links limiting the desired quality of service (QoS) delivery to the last mile user. In this work, we first design a framework for software-defined cellular networks and then propose new mechanisms for management of QoS and non-QoS users traffic considering both access and backhaul networks, jointly. The overall SDN-LTE system and related approaches are developed and tested using network simulator in different network environments. Especially, when the users are non-uniformly distributed, the results shows that compared to other approaches, the proposed load distribution algorithm enables at least 6% and 23% increase in the average QoS user downlink throughput and the aggregate throughput of 40% users with lowest throughput (edge users), respectively. Also, the proposed system efficiently achieves desired QoS and handles the network congestion without incurring significant overhead.

     

On the study of cognitive two-way relaying using a denoise-and-forward relay

In this paper, we consider a cognitive cooperative wireless system consisting of two primary users, a cognitive base station (CBS) and a secondary user. A cognitive two-way relaying (CTWR) scheme is proposed, where the secondary user tries to assist the primary users to meet their target quality of service (QoS) by acting as a cognitive two-way relay, when the direct link of the two primary users cannot meet the target QoS. As a return, the primary network shares its transmission time-slot with the secondary user. First, the system outage probabilities of traditional direct transmission and CTWR scheme are analyzed, giving both the exact and approximated expressions. Second, a transmission time-slot splitting algorithm between the primary and secondary users is proposed. Third, the ergodic capacity of the secondary user under the CTWR scheme is examined. Finally, simulation results show that the proposed scheme cannot only help the primary users to meet their target QoS, but also improve the communication opportunities of the secondary user.     

3GPP LTE系统中无线视频传输调度算法研究

摘要：针对3GPP LTE系统,本文提出了适用于下行链路视频业务的一种新的分组调度算法,即时延优先比例公平调度（Delay First-Proportional Fair Scheduling,DF-PFS）。当需要做出调度决策时,该算法利用每个用户的数据包时延信息和瞬时下行信道条件,在满足用户QoS前提下最大限度地提高系统吞吐量。同时,当用户选择资源块（RB）进行传输后,即从用户集合中将该用户删除,避免接近eNodeB的用户一直占用无线资源,确保了资源分配的公平性。实验仿真结果表明,该算法在丢包率和PSNR性能上优于最大权重时延优先（M-LWDF）算法,在保证用户间公平性前提下,满足了视频业务的QoS要求。