基于叠加调制和自适应功率分配的干扰抵消

为消除协作通信系统中各用户的相互干扰并自适应分配各用户的发送功率,提出基于叠加调制和自适应功率分配的多用户干扰抵消算法。各用户在发送自己信息的同时协助其他用户进行信息转发,采用联合设计的叠加调制函数形成重构信号,接收端利用该函数完成干扰消除。针对无线信道的多样性,以最大化系统容量为准则对各用户的重构信号进行自适应功率分配。多种网络模型中的仿真结果表明,本文算法能有效消除干扰,降低系统错误概率。相比结合固定功率分配的干扰抵消算法,该算法可获得1.5dB的比特错误概率性能改善和5dB的帧错误概率性能改善。

Inference cancellation based on superposition modulation and adaptive power allocation

A superposition modulation and adaptive power allocation algorithm was proposed,which can mitigate the inference between users and allocate the transmission power of each user adaptively in cooperative communications.Each user transmits its own signal while relays other users′ signals,and the superposition modulation functions are designed jointly to form the reconstructed signals.The destination cancels the inference by the use of these functions.The reconstructed signal power of each user was adjusted to maximize the system capacity according to the channel variety.Simulation results of various network models show that the proposed algorithm can cancel the inference efficiently and reduce the probability of system error.Compared with the inference cancellation algorithm using fixed power allocation,this algorithm can achieve 1.5 dB bit error rate improvement and 5 dB frame error rate improvement respectively.