蓝牙自适应分组选择策略与选择重传算法研究

为了提高蓝牙抗干扰能力与传输效率,从基带层重传和L2CAP层重传研究了蓝牙的重传机制。基带层提出了利用重传次数估计跟踪信道质量的自适应分组选择策略,根据当前信道的重传次数动态选择使其吞吐量最大的分组。在L2CAP层,针对连续重传需要传送已经准确接收的数据帧的缺点,提出了结合连续重传和流控制2种模式的选择重传算法,无需改变蓝牙协议。仿真与分析表明,算法能有效提高吞吐量与传输效率、降低时延,容易实现。     

一种新的基于最大流的无线Mesh网络信道分配算法

在无线Mesh网络中,为节点配置多接口多信道MAC协议成为提高网络性能、扩大网络容量的有效手段之一。有效的信道分配策略在多信道无线Mesh网络中显得尤为重要。本文提出一种基于最大流的信道分配算法。该算法通过最大流计算网络中可达到的最大吞吐量,以此作为网络负载标准进行信道分配,将降低整个网络的总体干扰作为目标函数进行优化。仿真结果表明,即使在网络负载较重的情况下,算法仍能保持较好的性能。     

无线Mesh网中实时数据业务仿真与分析

无线Mesh网络是一种架构式多跳无线网络,具有结构灵活、快速部署、自组织和自愈合等优点,具有广泛的应用前景。通过采用ns-2仿真软件对基于IEEE 802.11 MAC协议和AODV路由协议的无线Mesh网中实时数据业务的数据传输进行建模与仿真,分析了Mesh网络中数据流经过的传输跳数与吞吐率的关系,以及MAC层RTS/CTS、重传次数以及MAC层和路由层相互作用对无线Mesh网中实时数据业务性能的影响,指出了提高无线Mesh网中实时数据业务性能的所需要的改进方向。     

一种基于散列邻域搜索网络编码的机会中继重传方法

在无线多播网络中,传统的方法没有考虑某些接收节点与源节点及其他接收节点之间可能具有更好的链路质量.为此提出了一种基于散列邻域搜索网络编码的机会中继重传方法,该方法动态选择数据分组接收情况最好的且信道质量优于源节点的接收节点作为中继,并采用散列邻域搜索网络编码策略进行其他接收节点的丢失分组重传.仿真结果表明,相对于现有的其他网络编码重传方法,该方法能有效减少平均重传次数,提高重传效率,尤其当一些接收节点因受到干扰与源节点之间的信道质量变得很差时,该方法能取得很高的重传增益.     

无线城域网中的关键技术

文章对无线城域网中的服务质量(QoS)实现、正交频分多址(OFDMA)物理层技术与链路自适应技术相结合算法进行了研究.在无线城域网中,IEEE 802.16媒体接入控制(MAC)层通过将MAC传输的包映射到业务流,并映射到由连接标识(CID)标识的连接上,通过根据业务流(SF)提供的QoS参数进行调度,保障MAC的OoS特性;链路自适应技术根据无线信道变化,通过不断监测无线链路自适应地调整物理层参数.     

LTE-Advanced下行链路动态调度研究

无线资源管理算法对于优化LTE-Advanced系统容量和终端用户性能是非常重要的。网络算法没有实现标准化,但网络供应商和运营商可以根据需要设计和调整算法。要提供蜂窝所需的QoS,动态分组调度和链路自适应是确保高频谱效率的关键特征。通过引入第2层调度与链路自适应框架,阐述了频域分组调度原理,提出了时域和频域联合调度算法,介绍了采用MIMO的分组调度技术,评估了下行链路分组调度性能。     

基于 WCETT 的多信道 WMN 路由量度的研究

多信道无线 Mesh 网络可以有效解决在多跳无线网络中容量下降的问题。然而现有的路由协议大部分为单信道的多跳无线网络所设计,对于多信道 WMN 而言,会导致无效的路由路径。分析了现有无线 Mesh 网络的路由算法,详细讨论了基于 WCETT (Weighted Cumulative Expected Transmission Time)的两种路由度量,在此基础上提出了一种新的路由量度 WCETTR-LB,其对链路信道干扰的估算更加精确,能够感知周围链路对本信道的潜在干扰,并且考虑了节点负载度的概念,更加有助于实现负载均衡。     

基于跨层架构的无线TCP优化研究

在无线环境下,传输控制协议(TCP)会受到无线信道条件和分层协议栈独立底层协议的影响。文章结合LTE系统,深入分析现有无线TCP协议运用到LTE系统中的缺陷,提出基于跨层架构的无线TCP优化方案。跨层管理实体综合分析物理层信道状态信息,MAC层调度信息和HARQ信息,RLC自动请求重传ARQ信息以及PDCP切换信息做出全局最优判决。文章所提方案可以优化TCP拥塞控制中慢启动算法、拥塞避免算法以及快速重传算法在无线环境下的效率,提供更好的业务服务质量保障以及用户体验。     

基于参数优化提升VoLTE用户语音感知的技术研究

本文主要探索VoLTE网络优化的过程中,通过后台参数的组合调整来降低VoLTE分组丢失率和提升MOS值的方法。在本文中,以某品牌设备的后台参数为基准,调整站点的pdcchCfiMode、pdcchLaGinrMargin、dlMaxHARQTx/ulMaxHARQTx、tReorderingUl/tReorderingDl等参数,提高信道聚合度,增加MAC层HARQ的重传次数,增大RLC层排序等待定时器,可得到明显的分组丢失率下降和MOS值提升的效果,从而提升VoLTE的语音质量,高效优化VoLTE网络。本研究可大范围推广,提高VoLTE用户的感知。     

无线Mesh网络中基于链路负载估算的拥塞控制策略

针对无线Mesh网络的网络特性,提出了一种基于链路负载估算的拥塞控制策略LLECC。LLECC算法计算有效链路带宽和链路负载估算确定RED算法中的调整因子,通过调整因子调整RED算法中的参数从而实现动态的对无线网络拥塞控制。详细讨论了LLECC算法的实现过程和相关参数的计算方法,通过仿真分析验证了该算法对无线Mesh网络性能的提高。     

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.     

An adaptive opportunistic retransmission control scheme environment-aware-based for wireless multimedia Mesh networks

In this paper, we propose an aware-based adaptive opportunistic retransmission control scheme for wireless multimedia Mesh networks. The proposed scheme provides maximum retransmission count optimization based on environment-aware to improve packet relay probability. The scheme discriminates the types of packet loss in wireless link by means of environment information and selects the retransmission count by taking the IEEE 802.11 wireless channel characteristics into consideration. Furthermore, the maximum retransmission count of MAC is adjusted adaptively. Extensive simulations demonstrate that the proposed scheme significantly reduces packet collision probability and packet loss rate, and thus improves network throughput.     

无线Mesh网络中跨层协作的路由策略

网络编码可以提高无线Mesh网络的吞吐量,但是网络编码在无线Mesh网络中实际应用获得最大网络利用率是需要解决的问题。提出一种多路径策略,能够通过将网络编码和TCP进行最大化融合提高网络的利用率。网络编码被加入到现有的网络系统,通过解决速率控制问题和分组调度问题,调整源节点的数据编码分块,降低数据包重传的次数,提高网络的吞吐量。     

Distributed adaptive rate system for wireless packet networks

A distributed adaptive rate system for wireless packet networks is proposed. Compared to the centralized adaptive rate system that needs to know the packet retransmission probability to maximize the throughput, this system need not know the packet retransmission probability in advance and can achieve the optimal adaptive rate system that maximizes the throughput for wireless packet networks.     

Performance study of link layer and MAC layer protocols to support TCP in 3G CDMA systems

Providing support for TCP with good quality link connection is a key issue for future wireless networks in which Internet access is going to be one of the most important data services. A number of schemes have been proposed in literature to improve the TCP performance over wireless links. In this paper, we study the performance of a particular combination of link layer protocol (e.g., radio link protocol or RLP) and MAC retransmissions to support the TCP connections over third generation (3G) wireless CDMA networks. We specifically investigate two metrics - the packet error rate and the delay provided by RLP and MAC retransmissions - both of which are important for TCP performance. For independent and identically distributed (i.i.d) error channels, we propose an analytical model for RLP performance with MAC retransmission. The segmentation of TCP/IP packets into smaller RLP frames, as well as the RLP buffering process, is modeled using a Markov chain. For correlated fading channels, we introduce an analytical metric called RLP retransmission efficiency. We show that: 1) the RLP frame size has significant impact on the overall 3G system performance, 2) MAC layer retransmissions significantly improve the TCP performance, and 3) the RLP retransmission scheme performs better in highly correlated channels, while other scheme performs better in low correlated channels. Simulation results also confirm these conclusions.     

Exploiting path diversity in the link layer in wireless ad hoc networks

We develop an anycast mechanism at the link layer for wireless ad hoc networks. The goal is to exploit path diversity in the link layer by choosing the best next hop to forward packets when multiple next hop choices are available. Such choices can come from a multipath routing protocol, for example. This technique can reduce transmission retries and packet drop probabilities in the face of channel fading. We develop an anycast extension of the IEEE 802.11 MAC layer based on this idea. We implement the protocol in an experimental proof-of-concept testbed using the Berkeley motes platform and S-MAC protocol stack. We also implement it in the popular ns-2 simulator and experiment with the AOMDV multipath routing protocol and Ricean fading channels. We show that anycast performs significantly better than 802.11 in terms of packet delivery, particularly when the path length or effect of fading is large. Further we experiment with anycast in networks that use multiple channels and those that use directional antennas for transmission. In these networks, deafness and hidden terminal problems are the main source of packet loss. We implemented anycast as extension of 802.11 like protocols that were proposed for these special networks. We are able to show that anycast is capable of enhancing the performance of these protocols by simply making use of the path diversity whenever it is available.     

Reinforcement Learning Based Mobility Adaptive Routing for Vehicular Ad-Hoc Networks

Vehicular ad-hoc networks (VANETs) is drawing more and more attentions in intelligent transportation system to reduce road accidents and assist safe driving. However, due to the high mobility and uneven distribution of vehicles in VANETs, multi-hops communication between the vehicles is still particularly challenging. Considering the distinctive characteristics of VANETs, in this paper, an adaptive routing protocol based on reinforcement learning (ARPRL) is proposed. Through distributed Q-Learning algorithm, ARPRL constantly learns and obtains the fresh network link status proactively with the periodic HELLO packets in the form of Q table update. Therefore, ARPRL’s dynamic adaptability to network changes is improved. Novel Q value update functions which take into account the vehicle mobility related information are designed to reinforce the Q values of wireless links by exchange of HELLO packets between neighbor vehicles. In order to avoid the routing loops caused in Q learning process, the HELLO packet structure is redesigned. In addition, reactive routing probe strategy is applied in the process of learning to speed up the convergence of Q learning. Finally, the feedback from the MAC layer is used to further improve the adaptation of Q learning to the VANETs environment. Through simulation experiment result, we show that ARPRL performs better than existing protocols in the form of average packet delivery ratio, end-to-end delay and number hops of route path while network overhead remains within acceptable ranges.     

无线多跳网络的自适应容量感知优化与控制技术

In wireless multimedia communications, it is extremely difficult to derive general end-to-end capacity results because of decentralized packet scheduling and the interference between communi-cating nodes. In this paper, we present a state-based channel capacity perception scheme to provide sta-tistical Quality-of-Service (QoS) guarantees under a medium or high traffic load for IEEE 802.11 wire-less multi-hop networks. The proposed scheme first perceives the state of the wireless link from the MAC retransmission information and extends this information to calculate the wireless channel capaci-ty, particularly under a saturated traffic load, on the basis of the interference among flows and the link state in the wireless multi-hop networks. Finally, the adaptive optimal control algorithm allocates a net-work resource and forwards the data packet by tak-ing into consideration the channel capacity deploy-ments in multi-terminal or multi-hop mesh net-works. Extensive computer simulations demonstrate that the proposed scheme can achieve better per-formance in terms of packet delivery ratio and net-work throughput compared to the existing capacity prediction schemes.