The minimum bit-error rate linear multiuser detection problem can be transformed to a bit-error rate cost function problem.
最小误码率线性多用户检测的问题可以归结为一个误码率代价函数的问题。
A novel hybrid algorithm approach that employs a particle swarm optimization (PSO) and a multistage detection for the multiuser detection problem (PSOMSD) is proposed.
提出了一种新颖的基于粒子群优化和多级检测的混合算法的多用户检测器。
Based on the quadratic integral programming model of the multiuser detection problem, a detection strategy by the semidefinite programming method with pretreatment is presented.
基于多用户检测问题的二次整数规划模型，提出了一种带预处理的半定规划多用户检测方法。
应用推荐