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双向中继X网络相对于传统无线通信网络可以实现更高的自由度.然而,基于迫零算法的中继处理算法仅考虑了消除干扰成分,忽略了对期望信号的影响,从而使得网络的和速率有待提高.特别地,当用户发送功率越低,其和速率劣势越明显.针对上述问题研究其干扰对齐方案,并给出了优化的联合考虑期望信号和干扰信号的中继处理算法.首先,通过利用用户矢量信号之间的空间关系,给出网络和速率的数学模型;其次,通过矩阵分析及数值分析理论将最大化网络和速率的中继预编码设计问题转化为线性搜索最优值问题,并用极限值方法近似网络目标函数;再次,进一步将双向网络的目标函数近似为单向网络用户参数的线性组合,大大降低算法复杂度;最后,基于优化的线性搜索最优值问题,得到最大化网络和速率的中继预编码矩阵.仿真结果表明:相较于现有的中继处理方案,本文方案明显改善了网络和速率,同时还简化了最大化网络和速率带来的算法复杂度.
Compared with the traditional wireless communication network, the two-way relay X network can achieve higher degree of freedom.However, the relay processing algorithm based on the zero-forcing algorithm considers only the interference components and ignores the impact on the desired signal, so that the sum of the network In particular, when the user transmit power is low, the sum-rate disadvantage is more obvious.Aiming at the above problems, the interference alignment scheme is studied and an optimized joint processing algorithm considering both the desired signal and the interference signal is given.Firstly, , The mathematical model of the network and rate is given by using the spatial relationship between user vector signals. Secondly, the problem of maximizing the design of the relay and precoding of the network and the rate is transformed to the linear search optimal value through the matrix analysis and numerical analysis theory Problem and approximate the network objective function by using the limit value method. Thirdly, the objective function of the bidirectional network is further approximated as a linear combination of user parameters in the unidirectional network, which greatly reduces the complexity of the algorithm. Finally, based on the optimal linear search optimal value problem, Maximize the relay precoding matrix of network and rate.The simulation results show that compared with the existing relay processing scheme, The text solution significantly improves the network and rate while also simplifying the algorithmic complexity of maximizing the network and rate.