多输入多输出
正交频分复用
计算机科学
预编码
MIMO-OFDM
信道状态信息
多路复用
量化(信号处理)
无线传感器网络
聚变中心
计算复杂性理论
无线
控制理论(社会学)
算法
频道(广播)
电信
认知无线电
计算机网络
人工智能
控制(管理)
作者
Kunwar Pritiraj Rajput,Mohammad Faisal Ahmed,Naveen K. D. Venkategowda,Aditya K. Jagannatham,Govind Sharma,Lajos Hanzo
标识
DOI:10.1109/tcomm.2021.3092409
摘要
An optimal precoder design is conceived for the decentralized estimation of an unknown spatially as well as temporally correlated parameter vector in a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) based wireless sensor network (WSN). Furthermore, exploiting the temporal correlation present in the parameter vector, a rate-distortion theory based framework is developed for the optimal quantization of the sensor observations so that the resultant distortion is minimized for a given bit-budget. Subsequently, optimal precoders are also developed that minimize the sum-MSE (SMSE) for the scenario of transmitting quantized observations. In order to reduce the computational complexity of the decentralized framework, distributed precoder design algorithms are also developed which design precoders using the consensus based alternating direction method of multipliers (ADMM), wherein each SN determines its precoders without any central coordination by the fusion center. Finally, new robust MIMO precoder designs are proposed for practical scenarios operating in the face of channel state information (CSI) uncertainty. Our simulation results demonstrate the improved performance of the proposed schemes and corroborate our analytical formulations.
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