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1.南京邮电大学通信与信息工程学院,江苏南京 210003
2.南京邮电大学江苏省无线通信与物联网省高校重点实验室,江苏南京 210003
Received:18 March 2025,
Accepted:18 September 2025,
Published:25 September 2025
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赵贲, 夏文超, 赵海涛, 等. 基于位置感知的RIS辅助叠加导频传输[J]. 电子学报, 2025, 53(09): 3173-3191.
ZHAO Ben, XIA Wen-chao, ZHAO Hai-tao, et al. Location Sensing Empowered Superimposed Pilot Transmission Assisted by Reconfigurable Intelligent Surface[J]. Acta Electronica Sinica, 2025, 53(09): 3173-3191.
赵贲, 夏文超, 赵海涛, 等. 基于位置感知的RIS辅助叠加导频传输[J]. 电子学报, 2025, 53(09): 3173-3191. DOI:10.12263/DZXB.20250195
ZHAO Ben, XIA Wen-chao, ZHAO Hai-tao, et al. Location Sensing Empowered Superimposed Pilot Transmission Assisted by Reconfigurable Intelligent Surface[J]. Acta Electronica Sinica, 2025, 53(09): 3173-3191. DOI:10.12263/DZXB.20250195
可重构智能表面(Reconfigurable Intelligent Surface,RIS)技术在提高定位精度和数据传输速率方面有巨大的潜力. 在移动用户设备(User Equipment,UE)位置和信道状态信息(Channel State Information,CSI)均未知前提下,本文研究了RIS辅助的位置感知与叠加导频(Superimposed Pilot,SP)传输. 在这项工作中,首先,设计了由多个位置相干间隔组成的传输帧结构,每个位置相干间隔包括纯导频传输时间和叠加导频-数据传输时间. 前者用于估计用户设备位置,后者用于同时传输数据和导频信号. 其次,推导了位置参数估计误差的克拉美-劳界,并采用快速傅里叶逆变换算法得到位置估计结果. 然后,基于位置估计结果进行信道估计,并推导了SP传输的可达速率的闭式解. 在此基础上,提出了块坐标下降算法联合优化用户发射功率和RIS相移,以提高用户加权和速率,并分析了算法的收敛性和复杂度. 最后,仿真结果验证了用户设备位置估计算法的性能,并通过与常规导频方案相比,验证了所提SP传输方案的优越性.
Reconfigurable intelligent surface (RIS) technique has great potential in improving positioning accuracy and data transmission rate. This paper investigated RIS-assisted location sensing and superimposed pilot (SP) transmission under the assumption that position information of mobile user equipment (UE) and channel state information (CSI) are unavailable. In this work
a frame structure of transmission protocol composed of several location coherence intervals was designed
each with pure-pilot and data-pilot transmission durations. The former was used to estimate UE locations
while the latter was used to transmit data and pilot signals simultaneously. Then
the Cramér-Rao Bound of positional parameter estimation error was derived
and the inverse fast Fourier transform (IFFT) algorithm was adopted to obtain the estimation results of UE positions
which were then exploited for channel estimation. Besides
the achievable rate in closed form for SP transmission was calculated
and on this basis
a block coordinate descent algorithm was proposed to jointly optimize the transmit power of UEs and the phase shifts of RIS
aiming to maximize the weighted sum rate of all UEs. The convergence and complexity of algorithms were also analyzed. Finally
simulation results validate the performance of UE position estimation algorithm and the superiority of the proposed SP scheme by comparison with the regular pilot scheme.
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