协同通信过程的调节优化过程仿真分析

Cooperative Communication Process Optimization Simulation Analysis

研究协同通信中的优化通信问题。在协同通信中,源节点发送信息需要消耗功率,中继节点帮助源节点传输信息也需要消耗功率,传统的通信调节方法都是基于源节点和中继节点平均分配功率,并没有考虑具体信道状态信息,和两者的实时状态,造成通信任务分配不合理,通信效果不好。为了避免上述缺陷,提出了一种利用树形结构权值系数差值算法的协同通信过程优化方法。利用树形结构权值系数差值方法,计算协同通信过程中的通信节点功率权值系数差值,对通信节点功率误差进行补偿,从而为协同通信过程优化提供准确的数据基础。建立协同通信数学模型,实现协同通信过程的优化处理。实验结果表明,利用改进算法能够有效降低协同通信过程中的误码率。

The cooperative communication in optimizing communication problems. In the cooperative communica- tion, the source node to send information consumption power, relay node help source node transmit information also need to be consumed power, the traditional communication control method is based on the source node and relay node average distribution power, so did not consider the channel state information, and both every condition, cause com- munication task allocation is not reasonable, communication result is bad. In order to avoid the defect, the article puts forward a method based on tree structure weights coefficient difference algorithm cooperative communication process optimization method. Using tree structure weights coefficient difference method, calculation cooperative com- munication in the process of the communication node power weights coefficient difference, the communication node power error compensation, thus for cooperative communication process optimization to provide accurate data base. Es- tablish cooperative communication the mathematical model to realize a cooperative communication process optimization process. The experimental results show that by the algorithm can effectively reduce the cooperative communication in the process of the bit error rate.