WPAN/WLAN应用环境下的一类混合链路自适应算法

该文分析了基于包错误率(PER)测量及基于我干比(C/I)估计的链路自适应算法的优缺点,在此基础上提出了两种WPAN/WLAN应用环境下的混合算法,即同时考虑PER与C/I的混合算法和选择性考虑PER与C/I的混合算法,并对它们进行了理论分析和数值仿真。结果表明,在理想的单用户接入情况下,同时考虑PER与C/I的混合算法的吞吐量要大于其它算法。在实际的多用户接入情况下,分配给每个用户的资源相对较少,此时,选择性考虑PER与C/I的混合算法能够减小接收包数目较少或C/I估计误差大大以及信道误判等因素造成的吞吐量损失,达到比其它算法更大的网络吞吐量。     

基于跨层的UWB无线网络的优化

为保证UWB无线通信有效利用网络资源,达到系统总吞吐量最大、总传输功率最小、QoS最优等目的,必需对UWB无线通信网络采用自适应跨层设计等优化策略。结合UWB无线网络协议设计中的一些关键问题,提出并分析了2个跨层路由协议设计方案,将方案在NS2环境下进行了仿真。测试结果表明:当链路速率Rs为480Mbit/s时,系统吞吐率约为450Mbit/s,分组投递率约为0.94;噪声门限μ0的取值对UWB网络的PSR、路由建立时间产生影响。     

无线光通信中RCPT/ARQ自适应 差错控制机制的研究

为了克服无线光通信中的光强闪烁、大气衰减等信道干扰,本文结合无线光信道下Turbo码迭代译码算法,分析了RCPT码的穿孔图案特性,在此基础上完整给出了无线光通信系统RCPT/ARQ自适应差错控制方案,仿真表明RCPT/ARQ自适应差错控制方案显著提高了链路的吞吐量和稳定性.同时结合无线光信道的特性,提出了RCPT/ARQ机制下的排序重发策略,进一步优化系统在恶劣信道条件下的链路吞吐量.     

一种基于新一代蜂窝移动通信的无线资源分配方案

新一代的蜂窝移动通信系统要求支持多种业务,从高质量的交互式实时业务到基于TCP连接的完全可靠服务。对于现有的无线链路,用户各种业务量的增加造成无线资源相对使用不平衡,大大降低了无线网络的吞吐量。本文提出了一种基于新一代蜂窝通信的无线资源分配方案,并利用OPNET建立仿真平台对该方案进行验证。仿真结果表明,各种不同优先等级的业务都能得到自己满意的服务质量,链路总的吞吐量达到了1 0 0 Mbit/s     

GPRS通信系统中链路自适应的性能分析

介绍了GPRS移动通信中动态链路自适应的原理,并研究了静态链路自适应和动态链路自适应算法。对基于误块率(BLER)估计值的链路自适应算法进行了改进,并在GSM/GPRS网络仿真系统中加以实现。最后对仿真结果进行了分析。分析表明,动态链路自适应算法可以使GPRS系统在吞吐量和误块率方面获得更好的性能。     

无线网状网射频链路的信道分配算法

研究了无线网状网络节点的接口异构对网络容量的影响.提出了一种新颖的以射频链路为信道分配对象的接口和信道联合分配的分布式贪婪最大算法.该算法以队列长度为权的射频链路吞吐量之和最大为目标,寻找自适应于网络拓扑和流量变化的分布式接口与信道联合分配方案.算法分析指出本算法与非接口异构的Dist. Greedy算法的时间复杂度相当,NS2仿真结果表明网络容量有明显提升.     

ADCF:IEEE 802.11 DCF协议的自适应简便算法

本文提出了一种自适应型IEEE802．11 DCF协议：ADCF。该协议根据网络规模的变化，动态调节RTS／CTS机制的门限值，优化系统性能。在分析DCF协议的基础上，本文给出了一种估算网络规模的简便算法。仿真结果表明，该算法计算准确快捷。     

基于链路选择因子的高速无线个域网自适应时隙调度算法

本文提出了一种基于链路选择因子的高速无线个域网自适应时隙调度算法.在利用服务曲线对网络QoS需求进行建模的基础上,结合由链路质量获得的实时最优帧长,算法可以得出各个链路的选择因子.同时,选择因子的控制参数k能够决定调度算法的偏重点是链路质量还是业务QoS.仿真结果表明,该算法能在保证网络公平性的基础上有效地提高系统吞吐量.     

直达链路下的全双工能量采集中继系统的吞吐量分析

针对三节点传输系统,研究了基于时间切换能量采集的全双工放大转发协作中继方案。考虑源和目的地之间存在直达链路,全双工中继节点采用天线选择技术以最小化中继自干扰,目的节点采用最大比合并技术以最大化目的地接收信噪比。在延迟受限传输模式下,推出了自干扰信道增益为常数时系统吞吐量近似闭合表达式。运用最佳目的地选择策略和自适应中继选择策略讨论了系统吞吐量性能。如图4所示,在源发送功率为30 dB时,就系统吞吐量而言,本文算法比其他两种算法分别提高了0.22 bits/s/Hz和0.68 bits/s/Hz。数值分析和蒙特卡洛仿真表明,增加中继个数,增加目的地个数或者增大能量采集效率均能够提升系统吞吐量性能。      

AQAM系统最佳信噪比门限值的研究 及其在IEEE802.16e中的应用

 自适应调制根据瞬时信道信噪比选择适当的调制方式,能够改善系统的BER性能以及平均吞吐量性能.在常用于高速移动环境的六径瑞利衰落信道模型下,研究自适应调制系统的最佳信噪比门限值,使系统的平均吞吐量最大,同时能够保证系统达到目标BER性能.得到的最佳信噪比门限值可以用于ITU-R M.1225 Vehicular Test A 模型的自适应调制系统.给出了最佳信噪比门限值用于IEEE802.16e OFDM自适应调制系统的性能仿真,并对仿真结果进行了分析.     

基于多门限预留机制的自适应带宽分配算法

针对异构无线网络融合环境提出了一种基于多门限预留机制的自适应带宽分配算法,从而为多业务提供QoS保证。该算法采用多宿主传输机制,通过预设各个网络中不同业务的带宽分配门限,并基于各个网络中不同业务和用户的带宽分配矩阵,根据业务k支持的传输速率等级需求和网络状态的变化,将自适应带宽分配问题转化为一个动态优化问题并采用迭代方法来求解,在得到各个网络中不同业务和用户优化的带宽分配矩阵的同时,在带宽预留门限和网络容量的约束条件下实现网络实时吞吐量的最大化,以提高整个异构网络带宽的利用效率。数值仿真结果显示,所提算法能够支持满足QoS需求的传输速率等级,减小了新用户接入异构网络的阻塞概率,提高了平均用户接入率并将网络吞吐量最大提高40%。     

Efficient transmission of MPEG‐2 video bit streams over HIPERLAN/2

This paper studies the transmission of MPEG‐2 video bit streams over HIPERLAN/2 based wireless local area networks (WLANs). HIPERLAN/2, a WLAN standard introduced by ETSI (the European Telecommunications Standards Institute), is well known for its ability to operate under different physical (PHY) modes (modulation schemes) and adaptively switch its modes within a single transmission session. Each physical mode has certain throughput and error resilience associated with it. The presence of multiple physical modes can be exploited to achieve Quality of Service (QoS) guarantees for application parameters such as throughput, bit error rate (BER), jitter etc. In this paper, we first study the relationship of different PHY modes with BER and throughput. Based on this study, different content based marking algorithms are presented and analyzed that partitions the input video bitstream into multiple segments, where each segment is deemed suitable for transmission over HIPERLAN/2 operating under a specific PHY mode. We show that for a given video bit stream, the use of multiple PHY modes chosen based on the characteristics of underlying video data yields superior throughput and better picture quality in terms of pixel signal to noise ratio (PSNR). From the power consumption point of view, the marking algorithms can achieve desired throughput or PSNR with lower signal to interference ratio (SIR) levels thus saving battery power and extending the overall battery life. Copyright © 2004 John Wiley & Sons, Ltd.     

Improving throughput through dynamically tuning contention window size in dense wireless network

With the boom of wireless devices, the number of wireless users under wireless local area networks (WLANs) has increased dramatically. However, the standard backoff mechanism in IEEE 802.11 adopts fixed initial contention window (CW) size without considering changes of network load, which leads to a high collision probability and low channel utilization in bursty arrivals. In this paper, a novel CW dynamic adjustment scheme is proposed to achieve high throughput performance in dense user environment. In the proposed scheme, the initial CW size is dynamically adjusted to optimum according to the measured packet collision probability. Simulation results show that the proposed scheme can significantly improve the throughput performance.     

Adaptive threshold control for auto-rate fallback algorithm in IEEE 802.11 multi-rate WLANs

The IEEE 802.11 standard supports multiple rates for data transmission in the physical layer. Nowadays, to improve network performance, a rate adaptation scheme called auto-rate fallback (ARF) is widely adopted in practice. However, ARF scheme suffers performance degradation in multiple contending nodes environments. In this article, we propose a novel rate adaptation scheme called ARF with adaptive threshold control. In multiple contending nodes environment, the proposed scheme can effectively mitigate the frame collision effect on rate adaptation decision by adaptively adjusting rate-up and rate-down threshold according to the current collision level. Simulation results show that the proposed scheme can achieve significantly higher throughput than the other existing rate adaptation schemes. Furthermore, the simulation results also demonstrate that the proposed scheme can effectively respond to the varying channel condition.     

The integration of ad hoc sensor and cellular networks for multi-class data transmission

This paper targets mobile telemedicine applications that can be supported using third generation (3G) cellular networks, to provide highly flexible medical services. On the other hand, large-scale Ad hoc Sensor Networks (ASN), when deployed among mobile patients who may carry different kinds of micro-sensors to measure ECG, blood pressure, basal temperature or other physiological data, can provide a dynamic data query architecture to allow the medical specialists to monitor patients at any place. So far very little research has been conducted to explore the possibility of integrating ASN with mobile telemedicine. In this paper: 1. we suggest an integrated architecture that takes advantage of the low cost mobile sensor networks and 3G cellular networks to support multimedia medical calls with differentiated Quality-of-Service (QoS) requirements. 2. We propose a low-energy, distributed, concentric-zone-based data query mechanism that has the advantages of both proactive and reactive ad hoc routing algorithms to collect medical results from large-scale mobile patients for medical specialists who use cellular network to report patient data to the medical center. 3. In order to minimize the ambulance wireless call-dropping rate, we adopt accurate resource reservation call admission control (CAC) scheme to allocate the necessary bandwidth in the destination cell. 4. In order to meet the QoS requirements of patients’ wireless calls, we use dynamic guard channel CAC scheme to keep their handoff-call dropping rate below a certain threshold. We evaluate the validity of our schemes through simulations and analyze their performance. Our results clearly indicate the efficiency of the proposed CAC and sensor network query algorithms to meet the multimedia telemedicine QoS requirements.     

Dynamic resource scheduling (DRS): a multimedia QoS framework for W‐CDMA

Multi‐media support is an important feature of third generation (3G) wireless communication systems, and Quality of Service (QoS) is a crucial issue, as in any other networking environment. In this paper, the QoS issues in the wireless last‐mile is investigated for 3G systems based on Wideband‐Code division multiple access (W‐CDMA). Supporting multiple rates in the CDMA environment introduces the power assignment problem, which is coupled with the bandwidth and error QoS parameters. Also, multi‐media traffic flows should be classified and serviced in such a way to provision delay guarantees. In this paper, a new framework, namely dynamic resource scheduling (DRS), is described and extensively studied. In order to serve multi‐media services with different requirements, a family of nine algorithms has been developed within the DRS framework. These algorithms can be categorized with respect to single or prioritized queuing architectures, fixed or variable rate bandwidth and power allocation, and variable spreading gain or multi‐code spreading strategies. The paper presents the performance of the DRS algorithms in comparison with each other and with conventional scheduled‐CDMA (S‐CDMA) and proposed schemes in the W‐CDMA standard. The performance for error and throughput QoS provisioning and power control dynamics are explored; advantages, disadvantages and limitations of the algorithms are discussed. The DRS framework is concluded to be a promising QoS architecture, with a simple, flexible, scalable structure that can be configured according to a given traffic scenario. Copyright © 2004 John Wiley & Sons, Ltd.     

Quality-of-service driven power and rate adaptation for multichannel communications over wireless links

We propose a quality-of-service (QoS) driven power and rate adaptation scheme for multichannel communications systems over wireless links. In particular, we use multichannel communications to model the conceptual architectures for either diversity or multiplexing systems, which play a fundamental role in physical-layer evolutions of mobile wireless networks. By integrating information theory with the concept of effective capacity, our proposed scheme aims at maximizing the multichannel-systems throughput subject to a given delay-QoS constraint. Under the framework of convex optimization, we develop the optimal adaptation algorithms. Our analyses show that when the QoS constraint becomes loose, the optimal power-control policy converges to the well-known water-filling scheme, where the Shannon (or ergodic) capacity can be achieved. On the other hand, when the QoS constraint gets stringent, the optimal policy converges to the scheme operating at a constant-rate (i.e., the zero-outage capacity), which, by using only a limited number of subchannels, approaches the Shannon capacity. This observation implies that the optimal effective capacity function decreases from the ergodic capacity to the zero-outage capacity as the QoS constraint becomes more stringent. Furthermore, unlike the single-channel communications, which have to trade off the throughput for QoS provisioning, the multichannel communications can achieve both high throughput and stringent QoS at the same.     

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.     

基于多项服务质量的域间路由方案

针对广域网中节点数量多,范围广的特点,提出了一种将节点划分成域,并以带宽、时延作为服务质量（ＱｏＳ）指标在域间寻找可行路径的路由方案。该方案由两个算法组成,它们在把真实网络映射成为具有分级结构图的同时给出了满足服务质量要求的可行路径。