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。     

一种关联SNR的停等DCF优化方案

针对IEEE 802.11的DCF(Distributed Coordination Function)效率较低的问题,提出了一种结合速率控制的改进方案——停等DCF及其性能分析模型.速率控制使用自适应调制编码技术给出了可调节业务BER(Bit Error Rate)的SNR(Signal to Noise Ratio)门限确定算法;设置暂停信道接入的最低SNR门限,可减少传输错误,并降低接入冲突;调节BER,可在信道时间、冲突概率和误帧率间达到优化折中,使系统吞吐率最大.分析和仿真说明了模式是准确的,停等DCF有效地克服了DCF缺乏丢包区分机制的问题,实现了跨层的性能优化.     

支持增值业务QoS的LTE下行跨层调度算法

针对目前PF改进型算法在LTE系统中保障增值业务GBR和区分增值业务速率的研究较少的问题。提出一种改进型PF算法,该算法通过引入信道控制因子、GBR保障因子和速率门限因子,从而实现增值业务的下行跨层调度。仿真结果表明该算法可以保障各增值业务的GBR以及实现不同付费等级的付费平均可达速率,同时保证增值业务用户间的公平性。     

一种基于IEEE 802．11a的PHY—MAC跨层设计

文章基于IEEE802．11a协议,从理论上分析了物理层的编码速率、调制方式,以及MAC层的数据帧长度对吞吐率的影响,提出一种基于PHY和MAC层的跨层算法。仿真结果表明,文章提出的PHY-MAC跨层传输方案能显著提高系统的数据吞吐率。     

有限反馈中继系统基于业务速率的跨层调度算法

针对正交频分复用(OFDM)中继系统中用户不同业务速率需求的应用场景,该文提出了一种基于用户业务速率的反馈机制(Considering Traffic Rate Feedback, CTRF)。CTRF根据业务速率动态调整用户的反馈效用函数值,并与反馈门限比较判决用户是否反馈,从而减少系统的反馈量。同时,提出了一种基于业务队列公平性(Traffic Queue Proportional Fair, TQPF)的跨层调度准则。在此基础上,给出了一种联合CTRF与TQPF的支持不同业务速率的减少反馈调度算法(CTRF-TQPF)。理论和仿真结果表明,CTRF可以有效地减少反馈量,CTRF-TQPF算法可以有效保障用户的不同业务需求,降低系统的丢包率。     

多业务CDMA系统的速率控制与功率分配

移动通信中速率控制和功率分配是无线资源管理的基础，对于保证业务的质量有重要的作用。本文研究了多码CDMA系统多业务情况下的速率控制和功率分配问题。通过对业务分优先级，速率控制可保证不同业务质量要求，同时总的吞吐量最大。建立了多码CDMA系统的归一化链路增益矩阵，功率分配归结为求解该矩阵在有约束条件下的最大实特征值。本文算法通过业务分级给不同用户的分配传输速率，并通过基于信噪比的功率分配，可充分利用了系统资源，仿真验证了该算法的性能。     

区分服务网络中确保业务端到端时延的接纳控制算法研究

该文提出了一种对区分服务网络中时延敏感业务进行接纳控制的SACiD(Service Admission Control in DiffServ)算法,它不仅保证用户业务的端到端时延不超过确定的上界,而且能比较充分利用网络资源。仿真结果表明,SACiD算法可以保证时延敏感业务的服务质量,而且其业务接纳率和带宽利用率接近综合服务网络中接纳控制算法的性能,但它的存储器需求却远小于它们。此外,SACiD算法运算简单,具有与区分服务一致的可扩展性,可以为区分服务网络的资源管理提供支持。     

MAC层实时业务满意度评价模型及基于满意度的包调度与资源分配方法

该文给出了无线通信系统中MAC层可实现的评价用户VoIP业务和实时视频业务满意度的方法,该方法根据MAC层统计的丢包率及丢包模式等信息计算当前业务的用户满意度。基于文中的业务满意度评价准则,该文进一步提出一种在WiMax系统中基于满意度的包调度和资源分配算法。仿真结果表明,该方法在保证系统获得较高吞吐率的同时,能够更好的保证实时业务的满意度。     

面向异构多层多小区的多级服务质量跳频稀疏码分多址通信系统

该文主要解决未来大规模接入场景下,无线异构多层多小区通信网络设计及其多级服务质量(QoS)实现等问题。针对多层异构大规模接入网络的通信需求,该文提出一种基于跳频(FH)的稀疏码分多址接入(SCMA)多层异构传输方案(FH/SCMA)。该通信方案中,小区内大规模用户数据通过SCMA技术复用,异构网络的层间小区和层内小区通过跳频码分多址进行区分。由于传统跳频只能提供同一级别的频点碰撞率(即同一误码率),无法保证异构网络多级QoS需求, 因此该文进而提出一类新的具有两级汉明相关值的跳频序列集合,利用交织技术给出了这类跳频序列的设计方法。为了验证所提出的多级QoS跳频及其异构多层FH/SCMA通信性能,该文从序列设计和系统分析方面进行了严谨的理论分析和大量的仿真验证。研究表明,采用了新型跳频SCMA技术的多层异构网络可保证大规模用户接入、有效抑制多层小区干扰和衰落信道影响;同时,又可实现异构多层网络多级QoS传输质量需求(多级误码率(BER))。该文的研究成果从信号处理与传输角度,为多层异构网络设计及其多级QoS传输需求提供了有价值的解决方案。     

CDMA2000系统反向链路中一种改进的速率控制算法

该文针对CDMA系统反向链路中两种传统的速率分配算法,即调度算法(SCH)和专用速率控制算法(DRC)的优缺点,提出了一种改进的DRC算法:多步上升速率控制算法(MUDRC)。新算法在保留DRC算法优点的同时,克服了DRC算法慢启动的缺点,使得移动台(MS)在某些情况下可以一次提高多个速率等级。仿真结果表明,MUDRC算法可以在有效利用系统资源的同时,一定程度上提高用户的时延性能。与传统的DRC算法相比,MUDRC算法的前反向开销没有增加,这些开销远小于调度算法。该算法可以用于其他使用速率控制算法的通信系统中。     

OFDM系统中基于自适应调制和ARQ的PHY-MAC跨层设计

设计了一种适用于正交频分复用（OFDM）的跨层自适应算法。此算法结合自适应调制（AM）和有限自动重传请求（ARQ）技术，能够根据不同的信道状态在物理层和数据链路层联合进行性能优化，可以在保证上层吞吐量一定的条件下提供更小的丢包率。仿真结果表明，通过跨层结构设计的系统和传统的分层结构设计的系统相比有一定的性能增益，在进行高速传输时此增益更为显著。     

基于D2D通信系统中的一种跨层中继选择算法

在D2D通信系统与蜂窝网络共存的场景下,引入中继节点可有效提高D2D链路的吞吐量和D2D用户对蜂窝用户的干扰。文中基于译码转发模式,结合跨层协作通信的思想,提出了一种基于物理层和数据链路层的跨层中继选择算法。该算法结合物理层的信道状态信息和数据链路层的队列状态信息,两个参数进行最优中继节点的选择。并最终通过仿真验证表明,基于跨层中继选择算法可提高通信系统的吞吐量,同时降低了通信系统的平均时延和数据包错误率。     

基于截短ARQ协议的协作分集系统吞吐量研究

研究协作分集通信系统的跨层设计使系统吞吐量最大化.首先推导基于截短ARQ协议的协作分集和两跳系统的吞吐量理论表达式,揭示数据包长度和调制方式对系统吞吐量的影响,在此基础上用自适应技术优化系统性能,采用连续二维优化求出了吞吐量的最大值,进而提出了实用的二维离散吞吐量优化算法,该算法的优化结果与吞吐量最大值相差很小,最后提出了计算量更小的一维离散优化算法,且其吞吐量性能损失也很小.     

A cross-layer framework for multi-layer-video multicast with QoS requirements in multirate wireless networks

We propose a cross-layer framework for efficient multi-layer-video multicast with rate adaptation and quality-of-service (QoS) requirements in multirate wireless networks. We employ time division multiple access at the physical layer to transmit different video layers' data. The multicast sender then dynamically regulates the transmission rate and time-slot allocation based on the channel state information (CSI) and loss QoS requirements imposed by upper protocol layers. Under our proposed cross-layer framework, we first design a rate adaptation algorithm to fulfill the diverse loss QoS requirements for all video layers while achieving high multicast throughput. We then develop a time-slot allocation scheme which synchronizes data transmission across different video layers. Also conducted are simulation results to validate and evaluate our designed adaptive multicasting schemes under the proposed cross-layer framework.     

Enhanced performance based on cross-layer design from physical to transport layers for multihop wireless networks

This paper puts forward a novel cognitive cross-layer design algorithms for multihop wireless networks optimization across physical,mediam access control(MAC),network and transport layers.As is well known,the conventional layered-protocol architecture can not provide optimal performance for wireless networks,and cross-layer design is becoming increasingly important for improving the performance of wireless networks.In this study,we formulate a specific network utility maximization(NUM)problem that we believe is appropriate for multihop wireless networks.By using the dual algorithm,the NUM problem has been optimal decomposed and solved with a novel distributed cross-layer design algorithm from physical to transport layers.Our solution enjoys the benefits of cross-layer optimization while maintaining the simplicity and modularity of the traditional layered architecture.The proposed cross-layer design can guarantee the end-to-end goals of data flows while fully utilizing network resources.Computer simulations have evaluated an enhanced performance of the proposed algorithm at both average source rate and network throughput.Meanwhile,the proposed algorithm has low implementation complexity for practical reality.     

Optimal channel access for TCP performance improvement in cognitive radio networks

Cognitive radio (CR) is a promising technology to improve spectrum utilization. Most of previous work on CR networks concentrates on maximizing transmission rate in the physical layer. However, the end-to-end transmission control protocol (TCP) performance perceived by secondary users is also a very important factor in CR networks. In this paper, we propose a novel multi-channel access scheme in CR networks, where the channel access is based on the TCP throughput in the transport layer. Specifically, we formulate the channel access process in CR network as a restless bandit system. With this stochastic optimization formulation, the optimal channel access policy is indexable, meaning that the channels with highest indices should be selected to transmit TCP traffic. In addition, we exploit cross-layer design methodology to improve TCP throughput, where modulation and coding at the physical layer and frame size at the data-link layer are considered together with TCP throughput in the transport layer to improve TCP performance. Simulation results show the effectiveness of the proposed scheme.     

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.     

A cross-layer approach to transmit antenna selection

In this paper, we investigate a cross-layer approach to transmit antenna selection capable of adapting the number of active antennas to varying channel conditions. We address a cross-layer methodology in the sense that the criterion for the selection of antenna subsets is the maximization of link layer throughput which takes into account characteristics both at the physical and link layers. In order to enhance system performance, adaptive modulation is included to jointly perform antenna selection and rate adaptation. Performance assessment is conducted in terms of link layer throughput and transmission delay.     

Queue-Aware Resource Allocation for Multi-cell OFDMA Systems with QoS Provisioning

This paper proposes a queue-aware resource allocation algorithm which provides quality of service (QoS) guarantees. The proposed solution adopts a cross-layer design approach since it is aware of both users’ queue buffer states (data link layer) and channel quality state (physical layer). Main advantages of the proposed resource allocation algorithm are: the low computational complexity and its capacity of maintaining lower QoS violation probability than other multi-cellular schemes. The proposed solution can also result in enhanced cell-edge data rate and improved fairness performance. User minimum data rate and target bit error rate as considered as QoS parameters. Validation of the proposed algorithm is achieved through various simulation scenarios wherein QoS violation probability, system fairness, user average data rate and cell-edge throughput are investigated. Numerical results and complexity analysis demonstrate the efficiency and the feasibility of the proposed QoS-oriented approach.