Multi-radio无线网络中基于协议冲突模型的功率分配算法研究

为了提高无线Ad hoc网络中的Multi-radio Multi-channel利用率,最大化全网吞吐量,提出了一种基于协议冲突模型的功率分配算法-LPCA。LPCA首先利用整数线性规划方法得到了最小功率下所有链路并行传送数据所需的最小信道数,然后又分别估计了相同功率和混合功率下Multi-radio Multi-channel网络的吞吐量上界。实验结果表明,LPCA算法能较好的利用多信道资源,有效地提高网络的吞吐量等性能。

基于Multi-Radio Multi-Channel传感器网络无冲突信道分配算法的研究

为降低通信冲突和信道干扰,对Mult-i Radio Mult-i Channel传感器网络无冲突信道进行研究,结果证实在网络通信半径大于3倍的网络最大功率通信半径的前提下,Sensor节点规模满足2倍网络功率级数加1的环境下,网络无冲突信道分配的信道数达到网络信道冲突图的最大值。文章通过对无冲突信道算法的运用,最终证实其可以有效地提高传感器网络的工作效率,大幅度提升网络的吞吐量。

一种通用的Beyond 3G Multi-Radio接入架构

下一代移动通信网(Beyond 3G)是多种无线接入(Multi-Radio)共存的融合网络.如何有效集成异构无线网络,优化使用全部的无线资源是B3G研究领域内关键课题之一.在分析目前多种异构无线网络整合方案的基础上,借鉴欧洲IST 6th框架中Multi-Radio接入架构的基本思想,考虑在链路层实现异构无线网络之间的整合,从而提出一种通用B3G Multi-Radio接入架构模型,该模型可以无缝融合多种无线接入技术、有效利用全网无线资源.

Multi-Power Multi-Radio传感器网络跨层优化的路由方法研究

针对Multi-Power Multi-Radio无线传感器网络的特性,研究了跨层优化的最小传输时延路由问题,利用线性规划方程设计了该问题的最优问题模型,并设计了有效的多项式时间解决方案.实验结果表明,提出的联合优化的路由方案能有效地减小端到端的传输时延.

Multi-Radio传感器网络MAC协议可靠性的研究

研究了Multi-Radio传感器网络MAC协议的可靠性问题,建立Multi-Radio传感器网络MAC协议可靠性的概率模型,并分了协议的可靠性,同时比较了Multi-Radio传感器网络与现有传感器网络的差别。实验结果表明,对MAC协议可靠性的分析与实验结果相一致,从而验证了本理论分析的正确性。

Multi-Radio无线Ad Hoc网络中基于协议冲突模型的功率分配方案研究

为了提高无线Ad Hoc网络中的Multi-Radio Multi-Channel利用率,最大化全网吞吐量,提出了一种基于协议冲突模型的功率分配算法———LPCA.LPCA首先利用整数线性规划方法得到了最小功率下所有链路并行传送数据所需的最小信道数.然后又分别估计了相同功率和混合功率下Multi-Radio Multi-Channel网络的吞吐量上界.实验结果表明,LPCA算法能较好地利用多信道资源,有效地提高网络的吞吐量等性能.

Intelligent Network Selection for Data Offloading in 5G Multi-Radio Heterogeneous Networks

In next generation networks, multiradio networks are emerging in order to deal with exponential data traffic increasing. Integrated Femto-WiFi(IFW) small cells have been introduced by 3GPP to offload data from cellular networks recently. These IFW cells are multi-mode capable(i.e., both licensed bands via cellular interface and unlicensed bands via WiFi interface). Therefore how to offload data effectively has become one of the most significant discussions in 5G Multi-Radio Heterogeneous Network. So far, most researches mainly focus on the generality of UEs, few attention has been paid to UEs' individual requirements. Considering UE's preference vary from individual to individual, in this paper, we present an UE preference-aware network selection scheme for mobile data offloading. It intelligently supports the distribution of heterogeneous classes of services, considers different types of UEs and delay-tolerant flows, and handles the mobility of UEs. The simulation results show the superiority of the proposed algorithm in user fairness, enhanced capacity and energy saving maximization.

Joint channel assignment and cross-layer routing protocol for multi-radio multi-channel Ad Hoc networks

To study multi-radio multi-channel （MR-MC） Ad Hoc networks based on 802.11, an efficient cross-layer routing protocol with the function of joint channel assignment, called joint channel assignment and cross-layer routing （JCACR）, is presented. Firstly, this paper introduces a new concept called channel utilization percentage （CUP）, which is for measuring the contention level of different channels in a node’s neighborhood, and deduces its optimal value for determining whether a channel is overloaded or not. Then, a metric parameter named channel selection metric （CSM） is designed, which actually reffects not only the channel status but also corresponding node’s capacity to seize it. JCACR evaluates channel assignment by CSM, performs a local optimization by assigning each node a channel with the smaller CSM value, and changes the working channel dynamically when the channel is overloaded. Therefore, the network load balancing can be achieved. In addition, simulation shows that, when compared with the protocol of weighted cumulative expected transfer time （WCETT）, the new protocol can improve the network throughput and reduce the end-to-end average delay with fewer overheads.

Centralized Quasi-Static Channel Assignment for Multi-Radio Multi-Channel Wireless Mesh Networks

Employing multiple channels in wireless multihop networks is regarded as an effective approach to increas-ing network capacity. This paper presents a centralized quasi-static channel assignment for multi-radio multi-channel Wireless Mesh Networks (WMNs). The proposed channel assignment can efficiently utilize multiple channels with only 2 radios equipped on each mesh router. In the scheme, the network end-to-end traffics are first modeled by probing data at wireless access points, and then the traffic load between each pair of neighboring routers is further estimated using an interference-aware estimation algorithm. Having knowledge of the expected link load, the scheme assigns channels to each radio with the objective of mini-mizing network interference, which as a result greatly improves network capacity. The performance evalua-tion shows that the proposed scheme is highly responsive to varying traffic conditions, and the network per-formance under the channel assignment significantly outperforms the single-radio IEEE 802.11 network as well as the 2-radio WMN with static 2 channels.

A ROUTING PROTOCOL BASED ON INTERFERENCE-AWARE AND CHANNEL-LOAD IN MULTI-RADIO MULTI-CHANNEL AD HOC NETWORKS

Improving capacity and reducing delay are the most challenging topics in wireless ad hoc networks. Nodes that equip multiple radios working on different channels simultaneously permit ef-fective utility of frequency spectrum and can also reduce interference. In this paper, after analyzing several current protocols in Multi-Radio Multi-Channel (MR-MC) ad hoc networks, a new multi-channel routing metric called Integrative Route Metric (IRM) is designed. It takes channel load, inter-flow, and intra-flow interference into consideration. In addition, an MR-MC routing protocol based on Interference-Aware and Channel-Load (MR-IACL) is also presented. The MR-IACL can assign channels and routings for nodes according to channel load and interference degree of links, and optimize channel distribution dynamically to satisfy the features of topology changing and traffic frequent fluctuation during network running. The simulation results show that the new protocol outperforms others in terms of network throughput, end-to-end delay, routing overhead, and network lifetime.

Multi-Radio无线传感器网络中基于缓存和信道切换的数据查询算法的研究

针对Multi-Radio Multi-Channel传感器网络中链路服务质量和信道冲突等问题,提出并证明了基于缓存和信道切换的数据查询问题是一个NP完全问题.根据数据流守恒和链路-信道等约束条件,建立线性规划方程,得到该问题的最优解模型,并提出了一个多项式时间的近似算法——贪心新覆盖数据算法.该算法采用动态规划策略最小化缓存节点将单位数据包传输到查询节点所需要的路径时延,再贪心选择其具有最小路径时延的缓存节点,收集其新覆盖数据.理论分析和实验结果表明,提出的方案能有效地减少数据收集时延,提高数据查询效率.

Parallel-Transmission: A New Usage of Multi-Radio Diversity in Wireless Mesh Network

To fully utilize the diversity of multi-radio, a new parallel transmission method for wireless mesh network is proposed. Compared with conventional packet transmission which follows “one flow on one radio”, it uses the radio diversity to transmit the packets on different radios simultaneously. Three components are presented to achieve parallel-transmission, which are control module, selection module and schedule module. A localized selecting algorithm selects the right radios based on the quality of wireless links. Two kinds of distributed scheduling algorithms are implemented to transmit packets on the selected radios. Finally, a parallel-adaptive routing metric is presented. Simulation results by NS2 show that this parallel-transmission scheme could enhance the average throughput of network by more than 10%.

太阳耀斑对无线电导航通信的影响

太阳耀斑是太阳最剧烈的活动,其喷射的X射线和高能粒子可对无线电导航和通信系统产生很大的影响.分析了太阳耀斑爆发后,影响无线电导航通信系统的机理和过程.耀斑可造成无线电导航定位系统的定位精度下降甚至失效、无线电通信噪声和误码率增大甚至通信中断.提出了降低太阳活动对导航和通信影响的一些应对措施.

脑灰质异位症研究进展

脑灰质异位症可由遗传、辐射、药物等多种因素导致,其特征为正常神经元异常聚集于脑皮质以外的部位。依据异位灰质的形态及部位,可将脑灰质异位症分为脑室周围灰质异位、皮质下带状灰质异位和皮质下灰质异位。脑灰质异位症的临床表现包括癫痫、智力缺陷、认知及语言障碍等。磁共振成像为诊断脑灰质异位症的首选检查手段。目前,脑灰质异位症相关性癫痫的治疗多为药物治疗与手术治疗。近年来,立体脑电图引导的射频热凝越来越受到重视,针对认知、运动、语言的康复训练亦有利于改善患者的生活质量。

Network selection policy in multi-radio access environment using stochastic control theory

Network selection is crucial in improving the performance of heterogeneous wireless access systems. Most of previous work on network selection or radio resource allocation concentrates on the capability of each available network and ignores the time-varying nature of wireless media due to channel fading. However, the channel condition determines the state of each wireless network and plays a vital role in ensuring quality of service in multi-radio access environment. In this article, we propose a network selection policy using stochastic control theory considering the time-varying and stochastic character of wireless channels. The proposed scheme selects one network among different alternatives in each decision epoch according to the channel state of each network, which is modeled as finite-state Markov channel, with the objectives of increasing the data-rate, decreasing the bit error rate and minishing the delay. The procedure of network selection is formulated as a stochastic control problem, which can be solved using linear programming and primal-dual index heuristic algorithm. Simulation results are presented to show that network selection has great impact on the system performance, and the proposed scheme can improve the performance significantly.

Multi-power multi-radio传感网中联合调度、信道和功率分配的最优路由策略

研究了multi-power multi-radio无线传感器网络中联合调度、信道和功率分配的最优路由问题,并利用线性规划方程设计了该问题的最优路由方案,同时联合解决了链路调度、信道和功率分配问题.然后针对最优路由问题的NP复杂性,设计了有效的多项式时间解决方案.实验结果表明,提出的联合优化的路由方案能有效地减小端到端的传输时延和能量消耗.

时间反转短参考正交双倍速DCSK调制方案

为解决传统差分混沌移位键控(differential chaotic shift keying,DCSK)通信系统传输数据速率低以及安全性差的问题,提出一种时间反转短参考正交双倍速差分混沌移位键控通信系统(time-reversal short reference orthogonal double speed DCSK,TR-SR-ODBR-DCSK)。该方案利用Walsh函数产生两路正交的混沌信号调制两位数据信息,在同一个时隙内同时传输两个比特信息,信息传输速率提高了一倍,同时提高了通信系统的能量利用率;在此基础上将系统中传输的参考信号进行时间反转,消除同一时隙信号间的相关性,提高系统安全性及信号保密性。利用通用软件无线电外设(universal software radio peripheral,USRP)和LabVIEW仿真软件搭建半实物的仿真平台,仿真结果验证了混沌通信系统的可行性和有效性。

Fairness-oriented routing algorithm joint with power control and channel assignment for multi-radio multi-channel wireless mesh networks

The multi-radio multi-channel wireless mesh network （MRMC-WMN） draws general attention because of its excellent throughput performance, robustness and relative low cost. The closed interactions among power control （PC）, channel assignment （CA） and routing is contributed to the performance of multi-radio multi-channel wireless mesh networks （MRMC-WMNs）. However, the joint PC, CA and routing （JPCR） design, desired to achieve a global optimization, was poor addressed. The authors present a routing algorithm joint with PC and CA （JPCRA） to seek the routing, power and channel scheme for each flow, which can improve the fairness performance. Firstly, considering available channels and power levels, the routing metric, called minimum flow rate, is designed based on the physical interference and Shannon channel models. The JPCRA is presented based on the genetic algorithm （GA） with simulated annealing to maximize the minimum flow rate, an non-deterministic polynomial-time hard （NP-Hard） problem. Simulations show the JPCRA obtains better fairness among different flows and higher network throughput.

基于双流融合网络的非接触式IR-UWB人体动作识别方法

随着智能感知技术的飞速发展,人机交互(Human Computer Interaction, HCI)领域迎来了全新的发展态势。传统的人机交互方法主要依赖可穿戴设备或者摄像头采集用户的行为数据,虽然识别精准,却存在不小的局限性。具体而言,可穿戴设备会给用户带来额外的使用负担,而基于摄像头的方案不仅会受到环境光线的影响,还会涉及用户隐私的泄露,这些因素均限制了其在日常生活中的广泛应用。为了突破这些限制,实现精确的、非接触式人机交互应用,利用无线射频(Radio Frequency, RF)领域中脉冲超宽带(Impulse Radio Ultra-Wideband, IR-UWB)所具有的高灵敏度和精细空间分辨率等优势,提出了一种基于双流融合网络的非接触式人体动作识别方法。该方法捕获目标运动所导致的时域信号变化,并通过对时域特征进行多普勒频移变化,提取到对应的频域特征。在此基础上,构建了一个融合多维卷积神经网络(Convolutional Neural Networks, CNNs)和GoogLeNet模块的双流网络模型,以实现高精度的动作识别。通过广泛的实验测试,结果表明所提方法对8种常见人体动作的平均识别准确率达到94.89%,并且在不同的测试条件下均能保持超过90%的识别准确率,进一步验证了所提方法的鲁棒性。

Channel Aware Opportunistic Routing in Multi-Radio Multi-Channel Wireless Mesh Networks

Opportunistic routing （OR） involves multiple candidate forwarders to relay packets by taking advantage of the broadcast nature and multi-user diversity of the wireless medium. Compared with traditional routing （TR）, OR is more suitable for the unreliable wireless link, and can evidently improve the end to end throughput. At present, there are many achievements concerning OR in the single radio wireless network. However, the study of OR in multi-radio wireless network stays the beginning stage. To demonstrate the benefit of OR in multi-radio multi-channel network, we propose a new route metric -- multi-channel expected anypath transmission time （MEATT）, which exploits the channel diversity and resource of multiple candidate forwarders for OR. Based on the new metric, a distributed Mgorithm named Channel Aware Opportunistic Routing （CAOR） is proposed. The simulation results demonstrate that MEATT improves 1.14 and 1.53 times of the average throughput than existing expected anypath transmission time （EATT）and metric of interference and channel switching cost （MIC） respectively. The average delay of MEATT is 17% and 40% lower than those of EATT, MIC, respectively.