针对通信时滞与信道干扰的无线网络实时资源分配与性能优化

There are challenges in Quality of Service (QoS) guarantee in wireless networks due to the explosive user's demand and diversity. Particularly, it is a key and difficult issue in achieving satisfactory performance how to allocate the resource (e.g., bandwidth) in an efficiently and fairly manner with consideration to the factors of source limitation, significant communication delay and channel dynamical variations. This project is aimed to face those challenges that studies the fairly but timely resource allocation scheme and model in wireless networks under the conditions that there are random channel inteference and communication delays. The network utility maximazation (NUM) model will be proposed to characterize the wireless user's utility incorporated with communication delay. A comprehensive NUM model and mathematical framwork will be proposed and its solution will be found that leads to the bandwidth allocation for mixture of traffic including Soft QoS traffic, Hard QoS traffic and Best effort traffic. The outcomings of this project will be promising in wireless communication engineering applications as the results are based on mathematical analyses and are then verified by simulations.

无线网络业务的增长及多样化对无线网络的服务质量提出了更高的要求。无线网络的资源有限、通信时滞大、信道动态变化等特点,使得网络资源的有效利用和公平分配非常关键，并且十分困难。本项目拟研究在信道随机干扰和时滞环境下无线网络资源的公平分配模型及实时分配方案。在随机信道干扰下研究基于效用函数理论公平的实时资源分配方案；并在此基础上建立起以时滞性能和用户效用相结合为目标的无线资源分配模型及优化方案；最后研究多业务混合的网络资源分配框架，并提出数学优化模型及解决方案。项目将采用相关的数学理论和仿真手段开展研究，力求使研究结果能应用于无线网络工程。

针对通信时滞与信道干扰的无线网络实时资源分配与性能优化项目的要求，在光通信网络、无线传感器网、TCP/IP网络流量矩阵估计、网络效应优化理论等方面，课题组展开了一系列深入的研究。在国际著名出版社Taylor & Francis出版英文学术专著一部，在国际顶级学术期刊例如IEEE/ACM Transactions on Networking，IEEE Transactions on Wireless Communications，IEEE Transactions on Systems, Man and Cybernetics: Systems 和具有高影响力的国际学术期刊例如IEEE Communications Letters上发表学术论文16篇。在无线传感器网络的数据通信方面做出了重要贡献，尤其是在能量收获无线传感器网络的能量获取和数据传输及性能优化提出了创新性的模型和算法，具有原创性。研究结果发表在国际顶级学术期刊上，引起国际学术同行的广泛兴趣和关注。