基于时延和速率效用函数的LTE无线资源调度算法研究

为了提高LTE实时业务调度的公平性,在M-LWDF资源调度算法的优先级判断机制中引入了平均传输速率和保证比特速率,将经济学中的效用思想和效用函数引入M-LWDF调度算法,提出了一种基于时延效用函数和速率效用函数的M-LWDF改进算法,更好地体现了调度算法的时延特性和速率特性。仿真结果表明基于时延和速率效用函数的M-LWDF调度算法具有更高的公平性,能够更好地满足对实时业务的调度要求。     

基于时延和速率效用函数的LTE无线资源调度算法研究

为了提高LTE实时业务调度的公平性,首先在M-LWDF资源调度算法的优先级判断机制中引入了平均传输速率和保证比特速率,然后将经济学中的效用思想和效用函数引入到M-LWDF调度算法中,提出了一种基于时延效用函数和速率效用函数的M-LWDF改进算法,以便更好地体现调度算法的时延特性和速率特性。     

基于GMR-1卫星通信系统的无线分组调度算法研究

卫星通信系统作为陆地通信系统的补充,几乎可以覆盖到地球的所有地点,因此具有很大的研究价值。在参考了前人提出的M-LWDF算法后,文章考虑到GMR-1卫星通信系统的高时延、低功率等因素的影响,提出了针对该系统的无线分组调度算法,本算法以保证用户公平性为前提,实现了为实时业务、非实时业务分别提供满足要求的无线资源的目的。最后,在仿真中对比了不同算法的性能。     

基于QoS保证的多用户OFDM系统跨层资源分配

针对正交频分复用(OFDM)系统资源分配和调度问题,提出一种基于第三代移动通信长期演进(LTE)系统的分块跨层资源分配算法。此算法考虑物理层的信道状态信息、媒体接入层(MAC)的有限用户缓存队列长度、用户的丢失率和时延等QoS要求,以提高系统频谱效率为总体目标。通过从实时视频业务和混合业务两种业务类型下进行大量对比分析,得出提出的算法能有效提高系统的频谱效率和降低系统时延。     

双参数跨层自适应资源分配算法研究

针对多用户OFDM系统,该文提出了一种适合于混合业务的双参数跨层自适应资源分配方案,它只需调整时延补偿因子和吞吐量补偿因子两个参数,就可将现有的调度算法灵活高效地应用于系统中.仿真结果表明,该方案可以灵活地在系统功率效率和用户服务质量满意度之间取得折衷,并保证不同类型业务用户间的公平性.     

面向电网业务质量保障的5G高可靠低时延通信资源调度方法

该文研究面向电网业务质量保障的5G 高可靠低时延通信(URLLC)的资源调度机制,以高效利用低频段蜂窝通信系统内有限的频谱和功率资源来兼顾电力终端传输速率和调度时延、调度公平性,保障不同电力业务的通信质量（QoS）。首先,基于URLLC的高可靠低时延传输特性,建立电力终端多小区下行传输模型。然后,提出面向系统下行吞吐量最大化的资源分配问题模型并对其进行分步求解,分别提出基于定价机制与非合作博弈的功率分配算法和基于调度时延要求的改进比例公平算法（DPF）动态调度信道资源。仿真结果表明,提出的资源调度方法能在保证一定传输可靠性和公平性的条件下降低电力终端调度时延,满足不同业务等级的QoS需求,与已知算法对比有一定的优越性。     

基于5G的警务集群系统

通过分析集群通信系统沿专网与公网方向发展演进的技术趋势,结合公安调度需求研究了基于5G切片的警务集群系统体系结构,包括应用层、服务层、传输层、终端层、标准及管理体系和安全保障体系。在网络组网架构方面,通过超高可靠低时延通信(Ultra-reliable and Low Latency Communications,uRLLC)切片传输控制信号,增强型移动宽带(Enhanced Mobile Broadband,eMBB)切片传输业务内容,并提出集群业务软件中通信调度业务逻辑、综合业务适配和维护管理软件的模块组成,对其应用的协同算法、时延保证、安全可靠性和可扩展性等关键技术问题给出建议。基于多智能体控制模型提出多接入边缘计算(Multiple Access Edge Computing,MEC)服务器之间状态同步协调算法,为警务集群系统在5G技术体制下的进一步发展提供了基础。     

一种跨层设计的WiMAX上行链路调度算法

本文研究了WiMAX系统PMP(point to multi-point)模式下的调度算法,并综合考虑MAC层的队列状况/物理层的信道条件以及业务流的QoS要求,跨层设计了一种能够动态适应调制编码方案和信道干扰的上行链路调度算法--DMIA(dynamic MCS and intederence aware scheduling algorithm),最后利用NS2建模仿真,结果表明,与RR、WRR以及PQ+PF算法相比,本文提出的算法具有更高的吞吐量,更小的时延、时延抖动和丢包率,能满足各类业务的QoS要求.     

LTE中多业务的下行调度算法

针对现有调度算法的不足,提出了一种新的基于服务质量（QoS）的长期演进项目（LTE）的改进下行调度算法。根据多业务的用户,该算法在修正的最大加权时延优先（M-LWDF）算法的基础上引入了指数因子。仿真结果表明,该算法增加了时延较大的用户被调度的几率,提高了系统的公平性。本文网络版地址：http：//www.eepw.com.cn/article/170162. htm     

基于MAC层优先级调度的宽带电力线跨层资源分配

传统的资源分配算法采用分层系统,且不适用于宽带电力线通信系统中的不良信道环境。文中引入跨层思想提高资源利用率,保证服务质量(QoS),提出了一种基于MAC层QoS优先级调度功能的宽带电力线跨层资源分配方案。该算法考虑了实时用户对延迟的要求和非实时用户对队列长度的要求,并提出用户优先级函数。根据其优先级函数计算每个用户的数据包数量,生成基于效用函数的调度序列。在物理层中,根据调度的数据包,该算法分配物理资源用于分组。仿真结果表明,该算法在提高用户QoS的同时兼顾了系统的性能和吞吐量。     

A Cross-Layer Packet Scheduling Scheme for Multimedia Broadcasting via Satellite Digital Multimedia Broadcasting System [Advances in Mobile Multimedia]

In recent years, multimedia content broadcasting via satellite has attracted increased attention. The satellite digital multimedia broadcasting (S-DMB) system has emerged as one of the most promising alternatives for the efficient delivery of multimedia broadcast multicast service (MBMS). The design of an efficient radio resource management (RRM) strategy, especially the packet scheduling scheme, becomes a key technique for provisioning multimedia services at required quality of service (QoS) in S-DMB. In this article, we propose a novel cross-layer packet scheduling scheme that consists of a combined delay and rate differentiation (CDRD) service prioritization algorithm and a dynamic rate matching (DRM)-based resource allocation algorithm. The proposed scheme considers multiple key factors that span from the application layer to the physical layer, aiming at simultaneously guaranteeing diverse QoS while utilizing radio resources efficiently under the system power and resource constraints. Simulation results demonstrate that the proposed cross-layer scheme achieves significantly better performance than existing schemes in queuing delay, jitter, and channel utilization.     

传感器网络多路径区分服务的Qos路由协议

针对传感器网络多类型业务混合传输时服务质量难以保证的问题,提出一种多路径区分服务的QoS路由协议DSMQR(Differentiated Services Multipath QoS Routing Protocol)。该协议利用跨层协作的思想设计了传感器网络节点的通信模型,通过网络层与MAC层协作处理建立区分服务框架,采用以数据为中心的多优先级队列调度分发模式,利用综合代价函数实现了多业务流的路由路径选取。仿真实验表明,DSMQR能够满足传感器网络时延敏感分组与可靠性敏感分组的QoS需求,有效地优化利用了系统资源。      

A Cross-Layer Delay Differentiation Packet Scheduling Scheme for Multimedia Content Delivery in 3G Satellite Multimedia Systems

The design of efficient packet scheduling algorithms, which play a key role in the radio resource management (RRM), is crucial for the multimedia delivery in the satellite digital multimedia broadcasting (SDMB) system. In this paper, a novel packet scheduling scheme, which uses the cross-layer approach in its design, is proposed. This scheme comprises a new service prioritization algorithm and a dynamic rate matching based resource allocation algorithm, aimed at utilizing both the applications' QoS attributes and the physical layer data rate information. The performance of the proposed scheme has been evaluated via simulation. In comparison with existing schemes, the proposed scheme achieves significant performance gain on delay, delay variation and physical channel utilization.      

多用户MIMO-OFDMA系统混合业务的跨层分组调度算法

该文提出了一种针对多输入多输出-正交频分多址系统混合业务的跨层分组调度算法。该算法基于物理层的信道状况和媒体接入控制子层用户的排队时延,分别为实时业务用户和非实时业务用户的排队时延构建相应的效用函数,以保障不同业务的服务需求。仿真结果表明:该算法不但能保证实时业务的时延需要,而且能够获得很好的吞吐量,并满足公平性要求。     

基于负载自适应的无线自组网视频传输队列调度算法

移动终端多媒体业务的发展目前已经成为终端发展的必然趋势.如何在移动终端构成Ad hoc网络时有效地进行视频传输是无线网络研究的热点之一.提出了一种基于负载状况的跨层优化方案,其基本思想是结合应用层视频编码的特点和接入层的网络负载和资源的情况联合进行优化.在特定的资源下通过概率接入的方法对重要性更高的数据包进行更优先的接入.仿真结果显示,在网络处于高负载、多跳传输等场景下,提出的方案视频传输质量PSNR值提升3 dB以上.相对于传统调度算法,系统时延也可以大幅度降低.     

A Dynamic Resource Allocation Scheme for the Downlink Heterogeneous Traffic of Internet Protocol (IP) Based OFDM networks

Radio Resource management mechanisms such as physical-centric radio resource allocation and medium access control (MAC)—centric packet scheduling are expected to play a substantial role in the performance of orthogonal frequency division multiplexing (OFDM) based wireless networks. OFDM provide fine granularity for resource allocation since they are capable of dynamically assigning sub-carriers to multiple users and adaptively allocating transmit power. The current layered networking architecture, in which each layer is designed and operated independently, results in inefficient resource use in wireless networks due to the nature of the wireless medium, such as time-varying channel fading. Thus, we need an integrated adaptive design across different layers, allowing for a cross-layer design. In this paper, a scheduling scheme is proposed to dynamically allocate resources for the downlink data transmission of internet protocol based OFDM networks. Generally to maximize the capacity and user satisfaction improvements in packet data admission, scheduling and policing are necessary. Of the three, efficient scheduling has the greatest impact on increased system capacity or effective spectrum usage. In addition, proper scheduling can greatly improve user satisfaction. The contribution of this work is twofold: first we evaluate current allocation schemes by exploiting the knowledge of channel sate information (CSI) and traffic characteristics in terms of queue state information (QSI) to acquire the system performance on a real time network. Second, the resource allocation scheme is extended by incorporating MAC layer information as well as opportunistic packet scheduling in the time-domain-based on minimum weight cost function. The key factors that affect the overall system performance in terms of system average throughput and delay are identified, evaluated and discussed.     

Radio resource management across multiple protocol layers in satellite networks: a tutorial overview

Satellite transmissions have an important role in telephone communications, television broadcasting, computer communications, maritime navigation, and military command and control. Moreover, in many situations they may be the only possible communication set‐up. Trends in telecommunications indicate that four major growth market/service areas are messaging and navigation services (wireless and satellite), mobility services (wireless and satellite), video delivery services (cable and satellite), and interactive multimedia services (fibre/cable, satellite). When using geostationary satellites (GEO), the long propagation delay may have great impact, given the end‐to‐end delay user's requirements of relevant applications; moreover, atmospheric conditions may seriously affect data transmission. Since satellite bandwidth is a relatively scarce resource compared to the terrestrial one (e.g. in optical transport networks), and the environment is harsher, resource management of the radio segment plays an important role in the system's efficiency and economy. The radio resource management (RMM) entity is responsible for the utilization of the air interface resources, and covers power control, handover, admission control, congestion control, bandwidth allocation, and packet scheduling. RRM functions are crucial for the best possible utilization of the capacity. RRM functions can be implemented in different ways, thus having an impact on the overall system efficiency. This tutorial aims to provide an overview of satellite transmission aspects at various OSI layers, with emphasis on the MAC layer; some cross‐layer solutions for bandwidth allocation are also indicated. Far from being an exhaustive survey (mainly due to the extensive nature of the subject), it offers the readers an extensive bibliography, which could be used for further research on specific aspects. Copyright © 2005 John Wiley & Sons, Ltd.     

Cross-Layer Design of Wireless Multihop Backhaul Networks With Multiantenna Beamforming

A cross-layer design approach is considered for joint routing and resource allocation for the physical (PHY) and the medium access control (MAC) layers in multihop wireless backhaul networks. The access points (APs) are assumed to be equipped with multiple antennas capable of both transmit and receive beamforming. A nonlinear optimization problem is formulated, which maximizes the fair throughput of the APs in the network under the routing and the PHY/MAC constraints. Dual decomposition is employed to decouple the original problem into smaller subproblems in different layers, which are coordinated by the dual prices. The network layer subproblem can be solved in a distributed manner and the PHY layer subproblem in a semidistributed manner. To solve the PHY layer subproblem, an iterative minimum mean square error (IMMSE) algorithm is used with the target link signal-to-interference-and-noise-ratio (SINR) set dynamically based on the price generated from the upper layers. A scheduling heuristic is also developed, which improves the choice of the transmission sets over time. Simulation results illustrate the efficacy of the proposed cross-layer design.