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作 者:淡战平[1] Dan Zhanping(Northwest University of Political Science and Law,Xi’an 710122,China)
机构地区:[1]西北政法大学,西安710122
出 处:《电子测量与仪器学报》2019年第12期155-166,共12页Journal of Electronic Measurement and Instrumentation
基 金:陕西省教育信息化发展研究项目(18JX009)资助。
摘 要:针对信道信息获取的精度,对大规模无线网络的导频功率分配问题展开了研究。基于网络中天线节点与用户间接入距离的多样性,建立了功率可调的导频序列与系统和速率的数值关系。在互相耦合的导频功率约束条件下,以最大化和速率为目标,通过对偶分解与次梯度下降迭代算法求解优化问题,得到最优的导频功率分配方案,并证明了此算法的收敛性。此方案具有明确的物理含义,从另一个角度给出了基站天线与用户间的调度选择,使得系统资源得到更合理的分配和使用。在典型仿真场景下,与传统方案相比,系统速率平均提升12%。For the accuracy of channel information acquisition, the problem of pilot power allocation in large-scale wireless networks is studied. Based on the diversity of access distance between antenna nodes and users in the network, the numerical relationship between the power-adjustable pilot sequence and the system and rate is established. Under the condition of mutual coupling pilot power constraints, aiming at maximum and rate, the optimization problem is solved by the dual decomposition and sub-gradient descent iterative algorithm, and the optimal pilot power allocation scheme is obtained. The convergence of the algorithm is proved. This scheme has a clear physical meaning. From another perspective, the scheduling choice between the base station antenna and the user is given, so that the system resources are more rationally allocated and used. In a typical simulation scenario, the system rate is increased by an average of 12% compared to the traditional solution.
关 键 词:大规模分布式MIMO网络 导频设计 对偶分解 次梯度下降
分 类 号:TN911[电子电信—通信与信息系统]
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