一种MIMO-WLAN的跨层速率控制方案

针对下一代无线局域网高速率演进的要求,该文提出一种跨层的多输入多输出(MIMO)系统速率控制算法。首先分析了保证业务误码率的物理层吞吐率最大的速率控制算法存在的不足;然后结合自适应调制编码技术,实现了基于预测的MAC(Media Access Control)层吞吐率最大的跨层速率控制算法。仿真和分析表明算法可以取得近似优化的速率选择结果,能够保证业务的误码率性能,提高业务的吞吐率。该文的算法计算简单、预测准确、运行高效,不仅可以实现闭环速率控制,还可用于帧重传和多业务调度等应用的速率控制。     

基于EDGE的MAC协议层性能分析

运用马尔科夫理论对基于EDGE的MAC层进行了建模和分析;对MAC层数据吞吐率和时延作了理论推导和定性分析。研究成果可以作为EDGE网络建模、分析和EDGE无线通信产品性能分析的工具。     

基于动态规划法的无线Mesh网络QoS路由算法和性能评价

该文针对时延敏感的多媒体业务吞吐率和传输可靠性的考虑,在无线Mesh网络中,引入动态规划和跨层设计方法设计QoS路由算法。在假设的网络模型上,提出了一个新的基于MAC层信息的综合凸规划路由准则,以及基于此实现的路由算法CPRMQS,详细给出了利用动态规划法解决路由优化问题的算法流程和样例分析。最后通过仿真验证了该算法的可行性,并给出了基于DSR扩展协议的性能评价,其中包括吞吐率和延时等性能。     

一种跨层的OFDMA系统调度和资源分配算法

 针对OFDMA系统下行链路资源分配和调度问题,提出了一种基于跨层设计的时频二维分配算法(CLSA),在资源分配同时考虑用户物理信道状态信息以及MAC和数据链路层的用户速率要求、延时要求、分组差错率要求等QoS需求,以提高系统吞吐性能以及中断率性能做为算法的设计目标.通过大量的仿真实验验证算法的性能,并与现有的经典算法(OFDMA系统中的MPF算法和M-LWDF算法)性能进行了对比分析.仿真实验结果表明,CLSA算法在系统有效吞吐性能和中断率性能方面有较好表现.     

基于新一代Wi-Fi的MAC层关键技术的仿真与分析

分析了新一代Wi-Fi(即IEEE 802.11ac)的MAC层技术,重点研究了IEEE 802.11ac的分布式协调功能和增强的分布式信道接入技术带来的系统增益,并对IEEE 802.11ac MAC层是否采用帧聚合和块应答机制时的数据吞吐效率、在不同信道接入技术下用户业务的公平性进行了仿真和分析。仿真和分析表明增强的分布式信道接入技术相对于传统的分布式协同功能可以显著提升系统吞吐量,并且MAC层通过采用帧聚合和块应答机制,提升了MAC层相对物理层的吞吐率,降低了MAC层协议固有的系统开销所带来的“短板效应”。     

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。     

基于捕获效应的传感器网络MAC层研究

基于Markov链理论提出了一种新的理论模型用于描述无线传感器网络MAC层回退机制,该模型重点考虑了密集分布的无线传感器节点中普遍存在的捕获效应,并给出了新模型下节点发送概率的解析解。在此基础上,进而提出了一种新的无线传感器网络吞吐率计算模型,通过仿真分析,基于该模型计算所得到的网络吞吐率理论值要大于没有考虑捕获效应的网络吞吐率理论值。因此提出的新模型能够更准确地描述捕获效应对无线传感器网络的影响。     

射频供能无线传感器网络高能效数据收集方案

在射频供能无线传感器网络中,提高网络能效和吞吐率是一个重要的研究问题.该文统筹考虑信道分配、节点的能量阈值以及MAC（Medium Access Control）帧分块重传机制,提出高能效和高吞吐率的数据收集方案;推导了节点的充电时间、节点传输一个MAC帧的平均能耗和平均时延、网络能效和吞吐率,定义了网络效用函数,形成了最大化网络效用的优化问题.通过调整效用系数并求解优化问题,可以获得使网络能效和吞吐率最大化的最优能量阈值和MAC帧最优分块个数.仿真结果表明,所提方案的能效和吞吐率高于已有方案.     

Ad Hoc网络中的TCP不稳定性分析与改善

文章介绍了基于802.11的Ad Hoc多跳网络存在的隐藏节点问题,应用ns2仿真分析了由隐藏节点等导致的TCP不稳定性现象,并提出了TCP参数优化法和MAC层协议优化来改善不稳定性,在MAC层协议优化工作方面提出了一种新的方案-DWDB算法,对基本802.11 MAC协议进行了退避算法和重传机制的修改.仿真结果表明该方案能够在提高Ad Hoc网络吞吐性能的基础上,有效地解决不稳定性问题.     

一种新的基于跨层的Ad Hoc网络的MAC协议设计

为了提高Ad Hoc网络的性能,提出一种新的基于跨层的MAC协议,它能自适应的选择802.11b物理层规范中的两种不同的物理层数据单元格式进行传输。由于具有短导频的物理层数据单元格式比具有长导频的物理层数据格式占用更少的信道时间,基于跨层的MAC协议在一定条件下,采用具有短导频的物理层数据单元进行传输以减少物理层的开销,提高网络性能。其基本思想是如果需要通信的两个节点都支持具有短导频的物理层数据格式,则采用具有短导频的物理层数据格式进行传输,否则,采用具有长导频的物理层数据格式进行传输。同时提出一种自适应的网络分配向量计算算法,该算法能够根据MAC数据包的持续时间值判断节点是否支持具有短导频的物理层数据格式,不需要修改802.11b的帧格式。通过NS仿真证明,基于跨层的MAC协议能够提高网络的性能,如端到端的时延、吞吐量和传包率。     

A Cross-Layer Routing Scheme Using Adaptive Retransmission Strategy for Wireless Mesh Networks

In this paper, we develop a link quality-based adaptive adjustment mechanism of the MAC maximum retransmission count to reduce collision probability of wireless Mesh networks. Based on statistics acquired in the link layer and the retransmission strategy, a multi-metric cross-layer on-demand routing scheme is proposed for wireless Mesh networks. The proposed scheme uses information such as available link bandwidth, node residual load rate and transmission efficiency of a path adequately to cross-layer routing. The network layer can adaptively select an optimal path to deliver packets based on the acquired statistics of the MAC layer. Extensive simulation results demonstrate that the proposed scheme can reduce link failure probability, improve network throughput, and decrease the end-to-end delay effectively.     

Cross Layer Design for Multiaccess Communication Over Rayleigh Fading Channels

An information theoretic queueing model is proposed in a wireless multiple access communication setup. The proposed symmetric N user model captures physical layer parameters such as the encoding rate, transmit power and Medium Access Control (MAC) layer metrics such as queue stability. Two alternative medium access strategies are considered: centralized scheduling and ALOHA. Next, a cross-layer approach is taken wherein the maximum stable throughput of the system is achieved by a joint optimization over the MAC parameters (viz., scheduling set size with scheduling and transmission probability with ALOHA) and the encoding rate. Performance comparisons with traditional layered designs are given. It is shown that in the low and high SNR regimes, layered designs are close to optimal whereas in the moderate SNR range, cross-layer designs outperform layered schemes. Exact characterizations of the ";low"; and ";high"; SNR regimes are given quantitatively. It is also shown that ALOHA with transmission probability one is optimal in the low SNR regime.     

Impacts of Radio Channel Characteristics, Heterogeneous Traffic Intensity, and Near–Far Effect on Rate Adaptive Scheduling Algorithms

Applying adaptive modulation combined with scheduling in a shared data channel can substantially improve the spectral efficiency for wireless systems. This performance gain results from the multiuser diversity, which exploited independent channel variations across multiple users. In this paper, we present a cross-layer analysis to integrate physical-layer channel characteristics, media access control (MAC) layer scheduling strategies, and the network layer issue of heterogeneous traffic intensity across near–far users. Specifically, for radio channel characteristics, we take account of path loss, slowly varying log-normal shadowing and fast-varying Nakagami fading. We also evaluate the impact of selective transmit diversity on the throughput and fairness of wireless data networks. Furthermore, we consider three MAC schedulers: random scheduler, greedy scheduler (GS), and a newly proposed queue-length-based scheduler (QS). By applying the proposed cross-layer analytical framework, the following insights can be gained. First, for the three considered schedulers, channel fluctuations induced by Nakagami fading or log-normal shadowing can improve both total throughput and fairness. Second, using selective transmit diversity can improve throughput, but is unfavorable for the fairness performance. Third, the GS and the QS methods can improve throughput at the expense of unfairness to the far users. However, the throughput improvement from using the GS and the QS decreases as the traffic intensity of the far user increases. In summary, this cross-layer analysis can be used to develop new scheduling mechanisms for achieving better tradeoff between the fairness and throughput for wireless data networks.     

GEO卫星LTE跨层资源调度算法

地球同步轨道(GEO)卫星通信系统具有通信时延长的特点,适用于GEO卫星长期演进(LTE)通信的资源调度算法非常重要。为提升星上资源分配的高效性,基于可变最大加权时延优先(M-LWDF)算法,提出了一种综合考虑媒体接入控制(MAC)层参数和应用层参数的跨层调度算法。该算法在MAC层从数学角度推导,提出权重更大的时延判决因子及在应用层根据业务优先级不同引入Q因子。仿真结果表明,与M-LWDF算法相比,不同业务情况下,跨层资源调度算法减小了通信时延,提高了系统吞吐量,但公平性能略有下降并增加了复杂度。     

Signal processing in random access

In this paper, a cross-layer view for roles of signal processing in random access network and vice versa is presented. The two cases where cross-layer design has a quantifiable impact on system performance are discussed. The first case is a small network (such as wireless LAN) where a few nodes with bursty arrivals communicate with an access point. The design objective is to achieve the highest throughput among users with variable rate and delay constraints. The impact of PHY layer design on MAC protocol is examined and illustrates a tradeoff between allocating resources to the PHY layer and to MAC layer. The second case, in contrast, deals with large-scale sensor networks where each node carries little information but is severely constrained by its computation and communication complexity and most importantly, battery power. This paper emphasizes that the design of signal processing algorithms must take into account the role of MAC and the nature of random arrivals and bursty transmissions.     

A Cross-Layer Adaptive Modulation and Coding Scheme for Energy Efficient Software Defined Radio

In this paper, a simple and novel cross-layer adaptive modulation and coding (AMC) scheme, which increases the energy efficiency of the wireless communication system is proposed. Traditionally, AMC has been used to improve MAC-layer performance in terms of coded bit error rate, packet error rate, and throughput. The modulation and coding scheme is switched according to signal-to-noise ratio thresholds at the PHY layer. We extend the approach, proposing a framework for energy-efficient cross-layer AMC that captures the impact of both MAC layer and PHY layer parameters on the AMC switching criteria. Cross-layer designs are naturally suited to software defined radio applications. Not only are they readily implemented in software, but also they are integral to the radio components. They can optimize performance of the radio either for a given configuration or adaptively. Through examples of WLAN physical layer and Frequency Domain Equalized systems, we demonstrate our AMC scheme and verify its effectiveness by simulation.     

一种改进的多用户OFDM系统跨层分配优化算法

提出了一种多用户正交频分复用系统的跨层资源分配模型,结合了物理层中信道状态和媒体接入控制层中用户的队列信息,能更好地满足用户的服务质量要求。改进的混合优化算法结合了遗传算法与禁忌搜索算法的优点,并且对遗传算法的交叉因子进行改进,提高了全局搜索能力,能够更好地收敛于全局最优值,这样能更好地解决跨层资源分配问题。仿真结果表明,在此模型下利用改进的混合算法能有效地提高系统吞吐量,减小用户的平均时延,提高服务质量。     

一种基于IEEE802.22标准TSS策略的跨层时隙调度方案

该文首次将跨层设计思想引入IEEE802.22标准草案里关于感知时隙调度方案的设计中。为达到提高系统整体性能的目的,采用跨层设计思想,对目前IEEE802.22草案中关于TSS(Two-Stage Sengsing)方案中的参数作了进一步研究和定义。从两方面提出一种新的关于MAC层感知时隙调度的方案。一方面,基于物理层的无线衰落信道二阶统计特性定义了快速感知时隙的调度频率;另一方面,以最大化非授权用户传输吞吐量为目标,得到细微感知的最佳持续时间。结果证明该文提出的方案使MAC层的TSS方案更加明确、有效并能适应不同传输环境变化的目的。     

基于多Agent强化学习的Ad hoc网络跨层拥塞控制策略

该文首先证明基于MAC层竞争造成的网络拥塞模型中存在纳什均衡点。其次,基于WOLF-PHC学习策略提出了一种跨层拥塞控制(WCS)机制。它在路由层中选择一对去耦合节点作为转发节点,同时在MAC层对源节点的发送数据进行分流,从而提高链路的空间重用性。仿真结果表明:在不需要交互任何信息的情况下,通过节点之间的相互博弈以后,采用WOLF-PHC算法能够找到每个节点的最佳分流概率进而使整体网络吞吐量达到最大值;同时当外界环境发生改变时,该算法能够较快地找到新的最佳分流概率从而实现对环境的自适应能力。