基于自适应网络编码的异构无线链路并发传输控制方法研究

随着高清视频直播、虚拟现实等高速率业务不断兴起，单一的网络很难满足用户的业务需求。利用多种异构链路实现并发传输，可以有效聚合带宽资源，提高服务质量。但是，在异构无线网络中，由于链路状况复杂多变，多条链路质量不一，现有的多路径并发传输算法并不能自适应地根据复杂的网络状况做出最优的决策。该文提出了一种自适应网络编码的多路径并发传输控制算法，引入Asynchronous Advantage Actor-Critic(A3C)强化学习，通过自适应的网络编码，根据当前网络状况智能地选择编码分组大小和冗余大小，从而解决数据包的乱序问题。仿真结果表明，该算法能够提高10%左右的传输速率，提升了用户体验。

Research on Concurrent Transmission Control of Heterogeneous Wireless Links Based on Adaptive Network Coding

With the continuous rise of high-speed services such as high-definition video live broadcast and virtual reality, it is difficult for a single network to meet the business needs of users. Using a variety of heterogeneous links to achieve concurrent transmission can effectively aggregate bandwidth resources and improve the quality of service. However, in heterogeneous wireless networks, due to the complex link conditions and the different quality of multiple links, the existing multi-path concurrent transmission algorithms can not make the optimal decision adaptively according to the complex network conditions. In this paper, a multi-path concurrent transmission control algorithm based on adaptive network coding is proposed. The Asynchronous Advanced Actor Critical (A3C) reinforcement learning is introduced. Through adaptive network coding, the coding packet size and redundancy size can be intelligently selected according to the current network conditions, so as to solve the problem of disordered packet. Simulation results show that the algorithm can improve the transmission rate by about 10% and improve the user experience.