基于DNA遗传优化的正交小波常模盲均衡算法

在上行多用户中继网络中，针对中继协作波束成形与多天线基站联合优化的问题，本文提出了两种不同的但是具有一定相关性的设计方法。在第一种方法中，考虑在接收端SINR约束的情况下，使中继节点总功率最小化；在第二种方法中，研究在中继节点满足一定功率约束的情况下，使接收端SINR最大化。研究发现，基站线性接收器的最优权值矩阵决定于中继节点加权向量，进而可将多变量优化的复杂问题转化为单一变量优化问题。原问题进而可转化为半正定规划问题，可以用内点法方便的解决。仿真结果表明，与通过迭代运用凸优化求多向量的方法相比，该方法性能更优。

An Orthogonal Wavelet Transform Constant Modulus Blind Equalization Algorithm Based on the Optimization of DNA Genetic Algorithm

The problem of joint collaborative relay beamforming and linear receiver design is addressed for uplink multi-user relay network where each user transmits independent data streams to a multi-antenna basestation through a decentralized relay network. Two dfferent but related design approaches are proposed with different dsign criteria. In the first approach, the total transmit power of al the relay nodes is minimized under individual SINR constraint. In the second approach,the minimal SINR is maximized subject to the aggegate power constraint on the relay nodes. The optimal linear receivers are derived for each collaborative relay beamforming vector, and the collaborative bemforming vectors are explicitly obtained. We show that both joint optimization problems can be reformulated into a standard semi-definite programming problem by performing relaxation on the feasible region. The resulting problem can be solved optimally by using the interior-point method.