多射频无线Mesh网中的接口分域信道分配

在多射频多信道无线Mesh网中,是无线宽带接入的重要候选技术之一.为了满足无线宽带接入的容量要求,Mesh路由器节点常需要配置多个无线接口并使用多个正交信道.已有的信道分配方法虽能减少干扰和碰撞,但不能完全避免.本文提出一种域内中心式调度的接口分域信道分配(ICCA)方案,旨在完全避免干扰与碰撞以提高网络吞吐量,尤其能...     

非理想信道检测的认知无线电网络中能量感知频谱接入

Due to the problem of spectrum underutilization and energy inefficiency in wireless communications, the research on energy efficient Cognitive Radio Networks (CRNs) has received significant attention in both industry and academia. In this paper, we consider the problem of optimal spectrum selection and transmission parameters design with the objective of minimizing energy consumption in CRNs. Since the system state cannot be directly observed due to miss detections and estimation errors, we formulate the optimal spectrum access problem as a Partially Observable Markov Decision Process (POMDP). In particular, the proposed scheme selects the optimal spectrum, modulation and coding scheme, transmission power, and link layer frame size in each time slot according to the belief state, which captures all the history information of past actions and observations. The optimal policy can be acquired by solving POMDP problem with linear programming based algorithm. Simulation results show that significant energy savings can be achieved by the proposed scheme.     

认知无线电网络中基于随机学习博弈的信道分配与功率控制

传统的认知无线电频谱分配算法往往忽略节点的传输功率对网络干扰的影响,且存在节点间交互成本高的问题.为此,通过量化传输功率等级,以最大化弹性用户收益为目标,构建联合频谱分配与功率控制非合作博弈模型,证明了该博弈为严格潜在博弈且收敛到纳什均衡点.进一步,将随机学习理论引入博弈模型,提出了基于随机学习的策略选择算法,并给出了该算法收敛到纯策略纳什均衡点的充分条件及严格证明.仿真结果表明,所提算法在少量信息交互前提下能获得较高的传输速率,并提升用户满意度.     

无线ATM局域网中一种面向QoS的动态信道分配方案

提出了在无线ATM(异步传送模式)局域网中面向QoS(服务质量)的一种集中式DCA(动态信道分配)方案。此方案主要是在无线ATM局域网中,考虑了基站的相互干扰限制、目前信道资源利用以及有效连接的QoS保证等因素。仿真结果表明这种方案的系统性能获得了提高。     

Models and Approximation Algorithms for Channel Assignment in Radio Networks

We consider the frequency assignment (broadcast scheduling) problem for packet radio networks. Such networks are naturally modeled by graphs with a certain geometric structure. The problem of broadcast scheduling can be cast as a variant of the vertex coloring problem (called the distance-2 coloring problem) on the graph that models a given packet radio network. We present efficient approximation algorithms for the distance-2 coloring problem for various geometric graphs including those that naturally model a large class of packet radio networks. The class of graphs considered include (r,s)-civilized graphs, planar graphs, graphs with bounded genus, etc.     

基于节点持续传输准则的认知传感器网络信道分配策略

在异构分级式认知传感器网络中,为提高数据分组的传输成功率,提出将节点划分为具备持续传输条件和不具备持续传输条件两类,两类节点分别以牺牲较多能耗和分配较优信道的方式提高数据分组的传输成功率,并由此得到一种集中式信道分配策略.为了降低节点在信息传输过程中每比特平均能耗,对数据分组自适应调节机制进行了优化,确保不具备持续传输条件的节点得到最优的传输数据分组大小.仿真结果证明,提出的分配策略和优化机制能够有效提高能量的使用效率,改善网络性能.     

一种多射频、多信道无线mesh网络的信道分配算法

宽带无线接入网得到广泛应用,廉价的数据回程带宽是决定宽带无线接入网成功应用的重要因素。丈中设计了一种使用多射频、多信道、方向性天线的新型无线mesh数据回程网,提出了一种基于连接图的等价变换来实现该无线mesh网络信道分配算法。仿真结果表明,文中提出的信道分配算法有效地减少链路间干扰,提高了网络性能。     

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网络集中式信道分配算法设计

以集中式无线Mesh网络(WMN)为基础,分析和研究了传统多信道分配算法,并在此基础上提出了以节点优先级和分组为特点的多接口多信道分配算法(Channel Assignment based on Rank of Node and Link group,CAR-NL),该算法结合节点分级和链路负载预期评估机制,通过节点链路分组按级分配信道。通过仿真实验表明,该算法能有效提高无线Mesh网络多业务流并发执行时系统整体吞吐量,并实现较低的丢包率。     

一种新的智能无线技术——认知无线电技术

认知无线电技术(CR——cognitiveradio)是软件无线电技术的演化,是一种新的智能无线通信技术。它可以感知到无线电传输的环境特征,通过无线电知识描述语言与通信网络进行智能交流,来调整其传输参数,使系统的无线规则满足用户通信最佳性能的需求。文章对认知无线电技术进行了较详细介绍,包括其概念、通信特点、工作过程和部分关键技术等,最后指出了未来认知无线电技术的若干重要发展方向。     

Adaptive Channel Allocation Spectrum Etiquette for Cognitive Radio Networks

In this work, we propose a game theoretic framework to analyze the behavior of cognitive radios for distributed adaptive channel allocation. We define two different objective functions for the spectrum sharing games, which capture the utility of selfish users and cooperative users, respectively. Based on the utility definition for cooperative users, we show that the channel allocation problem can be formulated as a potential game, and thus converges to a deterministic channel allocation Nash equilibrium point. Alternatively, a no-regret learning implementation is proposed for both scenarios and it is shown to have similar performance with the potential game when cooperation is enforced, but with a higher variability across users. The no-regret learning formulation is particularly useful to accommodate selfish users. Non-cooperative learning games have the advantage of a very low overhead for information exchange in the network. We show that cooperation based spectrum sharing etiquette improves the overall network performance at the expense of an increased overhead required for information exchange.

A Cross-layer Approach to Channel Assignment in Wireless Ad Hoc Networks

To improve the capacity of wireless ad hoc networks by exploiting multiple available channels, we propose a distributed channel assignment protocol that is based on a cross-layer approach. By combining channel assignment with routing protocols, the proposed channel assignment protocol is shown to require fewer channels and exhibit lower communication, computation, and storage complexity than existing channel assignment schemes. A multi-channel MAC (MC-MAC) protocol that works with the proposed channel assignment protocol is also presented. We prove the correctness of the proposed channel assignment protocol. In addition, through a performance study, we show that the proposed protocol can substantially increase throughput and reduce delay in wireless ad hoc networks, compared to the IEEE 802.11 MAC protocol and an existing multi-channel scheme.

Channel and Data Estimation for Ad Hoc Networks and Cognitive Radio

Estimation of channel and data characteristics by the receiver is important in adaptive wireless transmission protocols and in cognitive radio. This paper formulates the estimation problem with the help of an illustrative example from the IEEE 802.11a OFDM standard. The problem reduces to the estimation of the common component variance and mixing probabilities in a finite Gaussian mixture, with known values for component means. Using the known component means, μ₁, ... , μ _M , a set of non-linear transformations, and of the data (mixture random variable X) are used to develop convergent and computationally efficient estimators for both the noise variance and the vector of symbol probabilities. The estimation equations can be implemented recursively or with a batch processing algorithm. Asymptotic variances of the estimates and the Cramer–Rao minimum variance bounds are derived. The estimates converge to true unknowns even when the sequences of noise and data symbols are dependent sequences. The OFDM example is simulated with parameters corresponding to the highest acceptable error rate. For a time-varying channel model chosen from the literature, it is shown that our estimator receives considerably more than adequate amount of data during an average time interval of unchanging channel characteristics. Analytical results, numerical results and related issues are discussed.     

一种基于博弈论的无线mesh网络信道分配算法

无线mesh网络中的信道分配会极大地影响网络的性能。为了解决无线mesh网络中的信道分配问题,提出了一种基于博弈论的信道分配(GBCA)算法。该算法将网络中每一个节点模型化为一个博弈者,每个博弈者的策略为信道的分配方案,并将整个网络的吞吐量作为效用函数的目标,效用函数的物理意义则是在给定流量需求矩阵下传输的成功率。博弈者通过相互博弈来优化收益函数,以最大化网络吞吐量。并针对GBCA算法的不足,提出了一种改进算法———GBCA-TP算法。通过NS2.34仿真分析得出,GBCA算法和GBCA-TP算法在收敛性、分组丢失率和吞吐量上都要优于当前的算法。     

Novel Channel and Polarization Assignment Schemes for 2–11 GHz Fixed–Broadband Wireless Access Networks

The scarcity of available spectrum in the 2–11 GHz frequency range and the continuously increasing number of users that require broadband communication services suggest that emerging fixed-broadband wireless access (F-BWA) networks will be deployed with aggressive frequency re-use to cope with capacity demands. In this context, co-channel interference may arise in high levels compromising the system's capacity and robust operation. Interference is further increased when limited directionality terminal antennas are employed to support non line-of-sight operation and in the case where an adaptive-time division duplex is selected for efficient radio resource management in asymmetric and time-varying traffic conditions. In this paper frequency channel assignment (CA) and antenna polarization assignment (PA) are considered as a means of mitigating interference. Two novel CA schemes that consider the distinct characteristics of F-BWA are proposed; the rotated-interleaved channel assignment and the non-uniform channel assignment. According to statistical interference simulation analysis the proposed schemes are more efficient in suppressing interference, achieving higher capacity compared to existing schemes while incurring no further complexity. In addition, instead of exploiting the performance of CA and PA schemes independently a framework for a joint CA-PA consideration is presented, where for a particular CA scheme an optimized PA pattern is developed. Results show that this approach improves the CA-PA interoperability increasing the overall performance. The efficiency of the proposed schemes is investigated for both FDD and adaptive-TDD schemes and is verified for various sectorization, frequency re-use and terminal antenna directivity configurations to ensure compatibility with different deployment scenarios. Bayan Sharif received the bachelor and doctorate degrees from Queens University of Belfast and Ulster University, N. Ireland, in 1984 and 1988. In 1989 he held a research fellowship post at Queens University of Belfast, where he worked on parallel programming algorithms for two-dimensional signal-processing applications. He joined Newcastle University in 1990 as Lecturer, and was promoted to Senior Lecturer and Professor in Digital Communications in 1999 and 2000. During this period he held visiting academic positions with Colorado State University and the UAE Telecommunication Corporation (Etisalat). He is currently Head of the Communications and Signal Processing Research Group at the School of Electrical, Electronic and Computer Engineering and his research interests are in digital communications with a focus on the optimization of wireless networks and DSP algorithms for receiver structures. Prof. Sharif has published over 170 journal and conference papers, and held UK and EU research grants in digital communications and signal processing worth over 2M. He is a Chartered Engineer and Fellow of the IEE. Panos I. Dallas (pdal@intracom.gr) was born 1967 in Thessaloniki, Greece. He obtained his diploma and Ph.D. degree from the Electrical and Computer Engineering Department of Aristotle University of Thessaloniki, Greece, in 1990 and 1997, respectively. Since 1998 he joined with INTRACOM where he currently is Section Manager of Advanced Communications Technologies branch of Emerging Technologies & Markets department, leading the next generation of broadband wireless access systems for internal and EU projects. He runs the relevant standardization activities (IEEE 802.16 and ETSI/BRAN HIPERMAN) in INTRACOM and he represents the company in WiMAX forum. Finally, he has over 30 publications in international journals and conferences. Konstantinos E. Ntagkounak is received the B.Sc. in Electrical Engineering from Technology Institute of Chalkis, Greece, in 1998 and the M.Sc. in Communications & Signal Processing from University of Newcastle, UK, in 2001, where he is currently studying for a Ph.D. in Electrical Engineering. Since 2001, he is with INTRACOM S.A. as a research engineer involved with several European Union IST research projects in the area of Advanced Communication Technologies. His research interests include medium access protocols, radio resource management and network architectures for next generation broadband wireless access systems.     

认知无线电技术的研究及发展

认知无线电技术作为软件无线电技术的一个特殊扩展,受到日益广泛的关注.由于该技术能够自动检测无线电环境,调整传输参数,从空间、时间、频率、调制方式等多维度共享无线频谱,可以大幅度提高频谱利用效率.本文首先从认知无线电技术的定义入手,分别讨论了认知无线电的基本概念、功能与实现、标准化的进程.然后介绍了当前应用状况,最后分析了未来的发展及面临的挑战.     

CBLA:多信道无线网状网络负载感知的分簇式信道分配

多信道技术能够显著提升无线网状网络的容量,合理高效的信道分配方案是多信道网状网络的核心问题。本文提出了一种分布式的信道分配方法CBLA（Cluster-Based Load-Aware）,结合了静态信道分配简单和动态信道分配灵活的特点;借助簇结构降低了问题的规模;根据统计开销小的局部信息监测链路负载;自适应的动态分配有效减轻了链路负载;采用了一种新的结合跳步数、信道分布情况和簇信息的选路指标。实验结果表明CBLA有效降低了数据包的平均延迟,并显著提升了网络吞吐量。     

认知无线Mesh网络跨层设计研究

传统网络的分层设计不能满足具有特殊QoS需求的无线宽带业务,无法应对动态频谱接入的无线通信环境。采用联合开放、架构灵活的跨层设计研究无线Mesh网络接入技术日渐成为热点。本文首先介绍了跨层设计的起源、分类,然后分析了认知无线Mesh网络跨层研究的挑战、难点及最新进展,并提出利用跨层设计实现路由及频谱管理的一种构想,最后展望了认知无线Mesh网络跨层研究的新方向。     

无线mesh网络中的信道分配问题研究

在多接口无线mesh网络中使用多信道可以减少碰撞和干扰,提高系统吞吐量。因此,合理的信道分配是无线mesh网络中多信道技术的关键。用图论理论建立信道分配数学模型以及用图着色理论研究信道分配问题是无线网络中解决信道分配问题的有效方法。因此针对无线mesh网络中多接口多信道(multi-radio and multi-channel)的特点,重点介绍了无线mesh网络中信道分配的基本理论、主要约束和图论模型等,最后提出应用图着色理论解决信道分配问题的一般途径。