低导频开销RIS辅助毫米波MIMO系统参数化信道估计方案OA北大核心CSTPCD
Low pilot overhead parametric channel estimation scheme for RIS-assisted mmWave MIMO systems
为了解决可重构智能超表面(RIS)辅助毫米波多输入多输出(MIMO)系统信道状态信息及时获取问题,提出了一种基于张量分解的信道估计方案.首先,通过使用少量无源反射单元和构建相移矩阵,设计了一种低导频开销的信道训练机制.然后,通过利用范德蒙德结构约束的张量典范平行因子分解,推导出一种非迭代的信道估计算法.理论分析表明,该方案的最小导频开销仅取决于反射链路子信道路径数乘积,且具有较低的计算复杂度.仿真结果进一步验证了所提方案相较于其他方法的优越性.
To address the timely acquisition of channel state information in reconfigurable intelligent surface(RIS)-as-sisted millimetre wave(mmWave)multiple-input multiple-output(MIMO)systems,a channel estimation scheme based on tensor decomposition was proposed.Firstly,a channel training mechanism with low pilot overhead was designed us-ing a few passive reflection units and constructing a phase shift matrix.Then,a non-iterative channel estimation algo-rithm was derived using tensor canonical polyadic decomposition with Vandermonde structure constraints.Theoretical analysis indicated that the minimum pilot overhead of the proposed scheme only depended on the product of the subchan-nel path numbers of the reflection links and exhibited low computational complexity.Simulation results further verify the superiority of the proposed scheme compared to other methods.
李双志;杨睿棋;郭新;黄赛
郑州大学电气与信息工程学院,河南 郑州 450001北京邮电大学泛网无线通信教育部重点实验室,北京 100876
电子信息工程
可重构智能超表面毫米波多输入多输出信道估计张量
RISmmWaveMIMOchannel estimationtensor
《通信学报》 2024 (009)
82-91 / 10
国家自然科学基金资助项目(No.61901416);河南省青年人才托举工程基金资助项目(No.2024HYTP026);河南省自然科学基金资助项目(No.242300420269);河南省科技攻关基金资助项目(No.242102211017)The National Natural Science Foundation of China(No.61901416),The Young Elite Scientists Sponsorship Pro-gram of Henan(No.2024HYTP026),The Natural Science Foundation of Henan(No.242300420269),The Science and Technology Development Project of Henan Province(No.242102211017)
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