认知网络中基于最大和速率的协同通信方案

A cooperative communication mechanism based on maximal total data rate in cognitive radio networks

为了提高认知无线网络主用户通信与次用户通信的和速率,提出了一种新的协同通信方案。该方案中主用户通过机会选择次用户是否协同自身数据传输、允许通信的次用户通过匹配最佳可用信道来最大化认知无线网络的和速率。通过建模将该和速率最大化问题表示为一个组合优化问题,进一步将问题转化为了一个等价的标准指派问题,从而提出了基于匈牙利算法的协同通信方案。仿真结果表明,所提方案显著提高了主次用户的和速率。

To maximize the total data rate of primary users and secondary users in cognitive radio networks, a novel cooperative communication mechanism was proposed; by which primary users can select a secondary user as their relay opportunistically if cooperative communication is good for total data rate improvement and secondary users that are permitted to transmit can match the optimum available channel. After transferring this maximum problem of data rate into a combinatorial optimum problem by mathematical modeling, a standard assignment problem was got. And then this paper suggested a cooperative communication mechanism based on Hungarian algorithm. The simulation results showed that the proposed mechanism notably improved the total data rate of cognitive radio networks.