Recently, the Industrial Communication and System-on-Chip (iComSoC) Group at Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences (CAS), together with the Signal Acquisition, Modeling, Processing and Learning (SAMPL) Lab at Weizmann Institute of Science in Israel, proposed new theory and algorithm on RF chain reduction for wireless MIMO communication systems, and the researchers built up the hardware prototype. The study was published on IEEE Systems Journal.
The researchers first configured a hardware network using the second-order statistics of wireless channels, which can significantly reduce the complexity of hardware configuration. Taking channel estimation as the optimization criterion, they derived the optimal solution for fully-connected complex gain hardware networks under noisy conditions.
Meanwhile, they proposed a high performance iterative alternating optimization algorithm for fully-connected phase shifter hardware networks by exploiting multiple degrees of freedom of optimization variables.
To realize the relevant theory and algorithm, the researchers then built a hardware prototype, and verified the correctness in the actual environment.
This study provides an effective solution for the deployment of 5G.
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