数据采集与处理2025，Vol.40Issue(6)：1434-1444,11.DOI:10.16337/j.1004-9037.2025.06.005
基于频谱效率公平性的XL-MIMO系统预编码优化
Precoding Optimization of XL-MIMO System Based on Spectral Efficiency Fairness
摘要
Abstract
This paper studies the precoding optimization problem for extremely large-scale multiple-input-multiple-output(XL-MIMO)downlink systems under a near-field channel model based on spectral efficiency fairness.The near-field channel model considers the coexistence of line-of-sight(LOS)and non LOS(NLOS)non-stationary mixed channels within the cell,where LOS channels are modeled using spherical wave models,while NLOS channels are modeled using Rayleigh models.The geometric mean of spectral efficiency is used as the optimization target to ensure fairness among users and optimize the overall spectral efficiency of the system.To handle the complex optimization objective function,a first-order Taylor expansion approximation is applied to create a simplified objective function.Subsequently,Lagrangian dual transformation and quadratic transformations are used to transform the original optimization problem into an equivalent one that is easier to solve.Finally,to reduce computational complexity,the projection fast iterative shrinkage threshold algorithm(PFISTA),which combines fast iterative shrinkage thresholding algorithms with projected gradient descent,is employed to solve the equivalent optimization problem.Simulation results show that using the geometric mean as the objective function can reduce differences in spectral efficiencies among users,leading to a balanced improvement in user spectral efficiencies.Moreover,PFISTA achieves comparable performance to existing methods while maintaining lower computational complexity.关键词
非平稳/球面波/快速迭代收缩阈值算法/投影梯度下降/拉格朗日对偶变换Key words
non stationary/spherical wave/fast iterative shrinkage threshold algorithm/projected gradient descent/Lagrangian dual transformation分类
信息技术与安全科学引用本文复制引用
李志立,傅友华,宋云超..基于频谱效率公平性的XL-MIMO系统预编码优化[J].数据采集与处理,2025,40(6):1434-1444,11.基金项目
国家自然科学基金青年项目(62101282). （62101282）
