无线网络资源协同优化方法及其关键技术

发布时间：2018-04-15 00:07

本文选题：协同优化 + 网络选择　；参考：《南京邮电大学》2016年博士论文

【摘要】：随着移动互联网应用的快速发展以及数据业务需求的爆发式增长,无线网络面临着巨大的挑战。异构网络协同可以优化无线网络资源提高网络容量,多终端协同可以提高用户体验。另外,在传统宏蜂窝之外增加大量小小区基站形成的超密集网络,也能够大大提升网络容量。但是,小小区基站数量的增加,使得回程链路资源分配和路由设计问题日益成为影响用户业务速率的关键因素。此外,能量消耗也成为制约无线接入节点大量部署的重要原因。基于以上问题,本论文针对无线网络资源协同优化方法及其关键技术进行研究,主要研究内容和成果包括:(1)针对异构无线网络多终端环境,研究了协同无线接入网络选择和资源分配问题,提出了一种多终端协同场景中基于多属性决策的网络选择方法与资源分配算法。首先,综合考虑网络状况、终端和业务特征等多种属性进行综合决策,选出最合适的候选网络集合。然后,基于效用函数为每个候选网络进行资源分配。仿真结果表明,该算法能够有效利用多个网络资源来满足用户对于服务的特定需求,同时提高了资源利用率。(2)针对无线超密集网络混合回程场景,研究了无线回程多链路协同的资源分配问题。基于由宏基站根据全局邻小区信息表进行决策的集中式回程链路选择方案,提出了一种基于代价函数的并行回程链路资源分配方法。以最小化回程链路功率消耗和传输时延为优化目标、以小小区基站的可用资源为约束条件,建立了优化问题。通过求解凸优化问题得到了回程链路速率在特定条件下的解析解。仿真结果表明,当并行回程链路数量变化时,该算法能够获得良好的频谱效率。(3)针对超密集网络无线回程场景,研究了无线回程路由决策问题。基于最小回程跳数分类小站的方法,提出了一种基于跳数优先负荷分担的无线回程网络路由选择方案。以最大化回程网络吞吐量为优化目标、以小小区基站最大发射功率和可用资源块为约束条件,建立了优化问题。提出了基于距离与下一跳可用资源的比例公平回程路由确定算法,并且与其他算法进行了性能比较。仿真结果表明,所提算法能够获得良好的系统吞吐率。(4)针对能量获取无线网络环境,研究了能效优化的无线网络接入控制算法。提出了一种基于模糊控制理论的参数动态调整接入控制算法。该算法能够根据无线接入节点在前一帧中获取的能量和接入节点当前的剩余能量,动态调整无线接入节点在争抢共享无线信道时的最大退避次数。能够根据不同应用情况下无线接入节点的数据传输速率和共享无线信道的历史状态,动态调整无线接入节点在退避过程中的随机退避时间和退避步长。仿真结果表明,所提算法提高了系统吞吐量,改善了无线接入节点的能量效率。
[Abstract]:With the rapid development of mobile Internet applications and the explosive growth of data services, wireless networks are facing enormous challenges.Heterogeneous network collaboration can optimize wireless network resources to improve network capacity, and multi-terminal collaboration can improve user experience.In addition, the addition of a large number of small cell base stations to a large number of ultra-dense networks in addition to the traditional macro cell can greatly enhance the network capacity.However, with the increase in the number of base stations in small cells, the problem of resource allocation and routing design for backhaul links is becoming a key factor affecting the user traffic rate.In addition, energy consumption has also become an important reason for restricting the deployment of wireless access nodes.Based on the above problems, this paper studies the cooperative optimization method of wireless network resources and its key technologies. The main research contents and results include: 1) for heterogeneous wireless network multi-terminal environment,In this paper, the problem of network selection and resource allocation in cooperative wireless access networks is studied, and a network selection method and resource allocation algorithm based on multi-attribute decision making in multi-terminal cooperative scenarios are proposed.Firstly, considering the network condition, terminal and service characteristics, the most suitable candidate network set is selected.Then, resource allocation is made for each candidate network based on utility function.Simulation results show that the algorithm can effectively utilize multiple network resources to meet the specific needs of users for services, and improve resource utilization.The resource allocation problem of wireless backhaul multi-link collaboration is studied.Based on the centralized backhaul link selection scheme, which is based on the global neighbor cell information table, a parallel backhaul link resource allocation method based on cost function is proposed.The optimization problem is established with minimizing the power consumption and transmission delay of the backhaul link and taking the available resources of the base station in a small cell as the constraint condition.The analytical solution of the return link rate under certain conditions is obtained by solving the convex optimization problem.Simulation results show that when the number of parallel backhaul links changes, the algorithm can achieve good spectral efficiency.Based on the method of classifying small stations with minimum number of backhaul hops, a routing scheme for wireless backhaul networks based on hop priority load sharing is proposed.To maximize the throughput of the backhaul network, the optimization problem is established with the maximum transmit power of the base station and the available resource block as the constraints.A proportional fair backhaul routing algorithm based on distance and next hop available resources is proposed and compared with other algorithms.Simulation results show that the proposed algorithm can achieve a good system throughput. 4) for the energy acquisition wireless network environment, the energy efficiency optimization wireless network access control algorithm is studied.A parameter dynamic adjusting access control algorithm based on fuzzy control theory is proposed.The algorithm can dynamically adjust the maximum Backoff number of wireless access nodes when competing to share the wireless channel according to the energy obtained by the wireless access node in the previous frame and the current residual energy of the access node.According to the data transmission rate of wireless access node and the history of shared wireless channel under different application conditions, the random Backoff time and step size of wireless access node in the Backoff process can be dynamically adjusted.Simulation results show that the proposed algorithm improves system throughput and energy efficiency of wireless access nodes.
【学位授予单位】：南京邮电大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：TN92

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