基于动态多目标决策的异构环境QoS策略

在未来的移动通信网络中,多种异构的接入网络并存将成为普遍的情况,因此需要根据接入网络与终端当前状况及当前业务需求,动态地为用户提供最佳接入网络选择。提出了一种基于动态信息多目标决策的异构网络选择算法,通过综合考虑以上信息,保证了用户的QoS需求。     

车载异构网中基于最优停止算法的垂直切换

目前,传统的车载Ad Hoc网络正朝着车载异构网发展;这就迫切需要为车辆用户提供一个高效、智能的网络接口进行切换,以满足其QoS要求。在本文中,我们针对车载异构网络存在的切换问题提出了一个优化算法,该策略整合了多个指标,包括价格成本、可用带宽和数据传输延迟等。利用最优停止理论,能最大限度提高用户满意度。仿真结果表明,基于最优停止的策略是可行的。     

认知网络中基于用户带宽需求的频谱接入策略

针对认知网络中的频谱接入问题,基于多类用户不同带宽需求提出了一种新的频谱接入策略,即基于用户带宽的动态信道接入策略(BRDSA)。首次提出考虑拥有不同带宽需求的主用户和次用户利用频谱聚合技术进行频谱接入,而频谱聚合技术能够提高次用户对离散频谱的利用率。根据相关网络模型,利用排队理论和马尔科夫模型对整个系统状态进行了分析。仿真结果表明这种动态频谱接入策略极大地提高了频谱利用率。     

车载异构网中基于优停止算法的垂直切换简

目前，传统的车载Ad Hoc网络正朝着车载异构网发展；这就迫切需要为车辆用户提供一个高效、智能的网络接口进行切换，以满足其Qos要求。在本文中，我们针对车载异构网络存在的切换问题提出了一个优化算法，该策略整合了多个指标，包括价格成本、可用带宽和数据传输延迟等。利用最优停止理论，能最大限度提高用户满意度。仿真结果表明，基于最优停止的策略是可行的。     

基于Q学习的异构无线网络动态切换策略

提出了一种基于Q学习的动态切换策略,用于最大化用户体验(QoE).基于Q学习的动态切换策略选择最佳网络,不仅利用当前网络状态还利用了未来网络状态和用户终端状态.不同于其他动态规划算法,该算法不需要获取无线网络环境的信息,而是通过利用用户终端过去经验来学习最优策略.仿真结果显示,该动态切换策略能以较少网络间切换次数来接近甲骨文优化算法性能,从而使用户体验得到更优质的网络音频服务.     

认知 mesh 网络服务区分的动态频谱接入策略

动态频谱接入策略是实现认知无线电网络高效利用频谱的关键。与传统认知无线电网络不同,认知mesh网络中不同QoS需求的多类型业务共同接入,为适应这一特点,提出服务区分的动态频谱接入策略。策略依据业务的QoS需求确立优先级,针对不同优先级业务采取不同的信道接入方案,实时业务依据最优传输延迟期望选择接入信道集合,在减小传输延迟的同时降低数据传输过程授权用户出现的概率,普通业务选择最优理想传输成功概率的信道,降低信道切换概率。理论与实验结果表明,与传统的认知网络频谱接入策略相比,提出的策略能提供不同业务的服务区分,满足实时业务的低延迟需求,降低数据传输的中断率,同时在授权信道空闲率与网络负载较大时吞吐量性能较优。     

利用部分重叠信道的多无人机自主协同优化抗干扰

针对多无人机通信网络抗干扰中的功率和信道联合优化问题,考虑多无人机通信网络中的部分重叠信道切换、外部恶意干扰与网络内部互扰问题,通过构建Stackelberg博弈抗干扰模型,设计无人机用户和干扰机的效用函数,并提出了基于次梯度迭代的算法求解博弈的均衡解,获得无人机用户在干扰条件下的部分重叠信道选择和功率选择联合优化结果。仿真结果表明,所提算法能使多无人机用户获得良好的信道选择和传输功率策略,优化多无人机通信网络抗干扰性能。     

基于效用理论的异构无线网络选择

在未来的异构无线网络环境中,为满足数据业务的需求,移动用户总希望能够接入最适合的网络。针对将实际测量的指标值归一化后作为决策值中存在的问题,提出了将效用理论应用到多指标算法中,设计了指标在不同业务、终端状态、用户类型下的效用函数,并用指标效用替代归一化测量值作为决策值计算备选网络的总效用,最后根据总效用值的比较来选择最优网络。仿真表明,此算法能够更好地反映用户的需求,帮助用户选择适合的网络。     

基于K-臂赌博机的多无人机空地网络动态资源分配方法

针对配置大规模MIMO的多无人机空地网络中的动态资源分配问题,从最大化系统吞吐量的角度出发,该文提出一种基于K-臂赌博机的强化学习算法联合优化多个无人机的用户选择与功率分配策略。首先根据地理位置对用户进行分簇,利用簇中心节点规划无人机飞行路径;其次在不考虑无人机之间端到端通信的情况下,将多无人机资源分配问题转化为相互独立的多个智能体强化学习问题;最后提出分幕式多智能体多状态K-臂赌博机算法来实现用户选择与功率分配的联合优化。通过将无人机每个时刻的位置索引定义为状态空间,从而使得无人机可动态适配自身位置及信道的动态变化。仿真结果表明,所提方案可根据环境状态变化自主智能调整资源分配策略,相比于已有方案能有效提升系统总吞吐量。     

基于APG合并及拓扑势优化的启发式用户关联策略

针对去蜂窝网络的可扩展问题,定义了网络可扩展度作为性能衡量指标,设计了一种提高网络可扩展度的用户关联策略。该策略以网络耦合度最小和用户速率最大为优化目标。为了进一步降低求解该多目标优化问题的复杂度,通过利用拓扑势函数建立网络耦合度和用户速率的关系,提出了基于接入点簇（APG）合并及拓扑势优化的启发式算法。仿真结果表明,所提策略以较小的用户速率损失为代价提高了去蜂窝网络的可扩展度。与传统策略相比,用户速率损失4.43%时,可扩展度可提高9.59%;与文献[10]的策略相比,用户速率损失4.99%时,可扩展度可提高22.15%。     

模糊层次分析法在无线个域网协同传输中的应用

在无线个域网中,利用多终端进行协同传输可以很好地改善系统的吞吐量,提高传输速率。针对无线个域网协同传输中的终端选择问题,提出了一种基于模糊层析分析法的多属性决策算法。该算法使用终端接入点的信号接收强度、可用带宽和时延等多种属性计算终端性能,能够选择性能较好的多个终端进行协同传输。仿真表明,该算法能够选择出合理的、性能较优的终端进行协同传输,有效地提高了系统的吞吐量。     

Heterogeneous wireless network selection algorithm based on group decision

In the environment of heterogeneous wireless networks, it is vital to select a currently optimal network for applications and subscribers. The use of multiple attribute decision making （MADM） for heterogeneous network selection can provide subscribers with satisfactory service quality. Converting heterogeneous network selection into a MADM problem, the authors present an improved algorithm for MADM based on group decision theory. The algorithm combines weight vectors of multiple attribute decision making to obtain a combinational weight vector. Then the results＇ compatibility will be assessed. If they do not meet the requirements of compatibility, the judgment matrix will be modified until a comprehensive vector that satisfies compatibility requirements is produced. The vector is combined with simple weighting method （SAW） for network selection. Simulation shows that the algorithm can provide users with satisfactory quality of service （QoS）.     

Automated network selection in a heterogeneous wireless network environment

Service delivery in a heterogeneous all-IP wireless network environment requires the selection of an optimal access network. Selection of a non-optimal network can result in undesirable effects such as higher costs or poor service experience. Network selection in such an environment is influenced by several factors, and currently a complete solution is not available to solve this problem. This article describes a comprehensive decision making process to rank candidate networks for service delivery to the terminal. The proposed mechanism is based on a unique decision process that uses compensatory and non-compensatory multi-attribute decision making algorithms jointly to assist the terminal in selecting the top candidate network     

A Heterogeneous Network Access Selection Algorithm Based on Attribute Dependence

In order to solve the problem which fails to consider the degree of attribute dependence in current network access selection schemes, a novel heterogeneous network access selection scheme based on attribute dependence is proposed in this paper. The scheme translates the network access selection problem into the problem of multi-attribute decision making based on attribute dependence and solves it using the chaotic glowworm swarm based algorithm. First, the degree of attribute dependence is measured and the access selection model is established based on the degree of attribute dependence. Then, the chaotic glowworm swarm based algorithm is used to solve the optimal weight in the model. Finally, the user accesses the network with the best performance based on the access selection model. The simulation results demonstrate the improved performance of the proposed access selection scheme compared with other schemes. The proposed scheme can reduce blocking and handoff dropping rate, as well as the number of handoff. Moreover, the proposed scheme achieves the load balance of each network.     

认知无线网络动态权值调整的频谱切换策略

认知无线网络中,次用户的目标信道选择受次用户传输功率、信道衰落因子、信道带宽、信道可用率等因素影响。针对基于多属性判决的频谱切换没有充分考虑各因素的重要程度和动态变化问题,本文提出了基于动态权值调整的频谱切换策略。根据主观经验和网络环境变化动态调整权值,采用多属性简单加权法计算各信道目标函数值,根据目标函数值降序排列结果选择切换的目标信道。仿真结果表明,本文所提出的算法能够减少次用户的切换次数,提高有效数据传输速率。      

A novel noncooperative game competing model using generalized simple additive weighting method to perform network selection in heterogeneous wireless networks

Network selection mechanisms have a significant role in guaranteeing the QoS for users in a heterogeneous wireless networks environment. These mechanisms allow the selection of an optimal wireless network to satisfy the needs of users. Users are provided with the opportunity to select from multiple connectivity opportunities available all over various wireless networks. Furthermore, the network operators themselves can execute active selection strategies that facilitate proper decision making, in which user preferences are considered. This study proposes a new noncooperative competing game‐theoretic model and strategy space based on user preference. This model can solve network selection problems and capture the inter‐linkages of decisions taken by various networks. A generalized simple additive weighting method is incorporated into the framework of noncooperative game theory. In addition, the utility function is employed to assess the usefulness of the system. Simulation results and analysis illustrate the efficacy of the suggested model in attaining optimum network utility for heterogeneous wireless networks while optimizing user satisfaction. Copyright © 2014 John Wiley & Sons, Ltd.     

Strategic e-Business Decision Analysis Using the Analytic Network Process

The rapid global deployment of electronic business (e-business) and information systems has required managers to make decisions that seek to balance technical factors with strategic business goals. This research utilizes the analytic network process (ANP) to provide insight into optimum-seeking decision processes by managers, as investments are made to utilize e-commerce technologies. The nonlinear network approach of ANP was used to study the "systems with feedback" where the e-commerce strategy may both dominate and be dominated, directly and indirectly, by the business-level strategy. This study analyzes e-business decisions in organizations, based on management heuristics and perceptions of expected contributions of e-commerce strategies, as well as the business-level strategies. The ANP research methodology process is employed since it is well suited for the study of a multi-attribute decision problem to explore qualitative and quantitative preferences of top managers in independent, nondiversified firms involved in e-business. ANP is used to model decision complexities involved in integrating e-commerce innovation into the overall strategic planning of firms. Optimal e-business strategies are chosen by using systems-with-feedback, where interdependencies between four virtual e-commerce domains and two generic business level strategies are explored. This study obtained significant results and identified several important avenues for further research. Implications for theory and research are discussed.     

模糊多属性决策理论在军事通信系统效能评估中的应用

决策中定性指标的量化一般通过一个模糊量化标度来实现，没有考虑决策者评判时的置信程度。提出了一种基于置信度的定性指标的量化方法。把模糊多属性决策引入到复杂通信系统的效能评估中来，建立了基于模糊多属性决策的系统效能评估模型。利用指标值和权重值都为三角模糊数的模糊多属性决策方法实现了对某战区通信系统的效能评估。     

Utility aware network selection in small cell

In fifth generation heterogeneous network, small cell is developed to compensate the growing demand for mobile data services. Due to the smaller size of cell, users have a short duration of connection, however, the user may also have the need of handoff frequently. At the time of handoff, different networks are available with different data rate and different other parameters. So, there is the need of frequent selection for the optimal network. In this paper, a utility-aware optimization algorithm has been proposed for network selection in a heterogeneous environment of Wi-Fi, WiMAX, WLAN, LTE, UMTS, and GPRS network. The weight factor is proposed for modified Jaya algorithm which is calculated by the analytical hierarchical process, standard deviation, and entropy method. Different applications are considered such as video, voice, web browsing and email transfer in which available bandwidth, packet jitter, packet loss, cost per byte are taken as dominant attributes, respectively. According to the dominant factor, different networks are selected for different applications because the requirement of all applications cannot be fulfilled by one network. Finally, the proposed algorithm is compared with multi-attribute decision making algorithms and game theory and accuracy of the proposed algorithm is calculated. The accuracy of proposed algorithm is higher as compared to the other algorithms and at the same time, this algorithm requires less computation which can further reduce the handoff latency and failure probability. Hence, the performance of handoff can be improved by using modified Jaya algorithm.

     

异构融合网络中基于博弈论的网络选择方案研究

近年来,移动通信技术蓬勃发展,多种网络并存,异构融合网络中的网络选择策略成为当前热点,本文引入了一种基于博弈论的网络选择方案,通过多级判决实现最佳接入.为了降低接入网络的多个用户间的干扰,本文在用户的发射端引入了基于SLNR的预编码,提高异构融合网络的整体性能.